Tag: TG_DYNAMIC
(7154 ranking factors)
Factors |
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TR
web_production: 1
Text relevance (Maxfreq is the frequency of the most frequent word that makes sense of the length of the document).
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LR
web_production: 2
Weight: 0.049061648412321 Link relevance. The factor will be remarked.
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PrBonus
web_production: 3
Weight: 0.07124278745128 Priority bonus, priority 7 - text priority. The binary factor, matters 0 for all monosyllabic requests, and the value of 1 for almost all two or more words, except for a very small number of answers for which there is not a single link that has passed quorum, and the text also did not pass the quorum.
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TRp1
web_production: 4
Stript priority for TR is a text priority - there are all the words of the request somewhere in the document (while they pass contextual restrictions on the request, for example, both words DB in one sentence).
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TRp2
web_production: 5
Weight: -0.109820338929289 PHRASE priority for TR is a text priority - there are all the words of the request in a row in the document.
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LRp1
web_production: 6
(strict) there is all the words of the request in one link.
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LRp2
web_production: 7
Weight: 0.019119257307239 (Phrase) There are all the words of the request in a row in one line.
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TRtitle
web_production: 8
The presence of an accurate phrase (request text) in the header (more precisely, in the first sentence of the document). Contextual restrictions and feet are taken into account exactly as in TRP2, i.e. Factor [8] Minors Factor [5]
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TRhr
web_production: 9
There was a plot that passed the quorum in which all the word positions are designated as those who have the relevance of Best_relev (title or Meta Keywords).
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TRhitw
web_production: 16
Hitweigt is a variant of textual relevance, in which the weights of all hits are considered equal (i.e., they do not take into account the allowances for title and the proximity of words). In this case, the corresponding hits must be restricted by the syntactic sorcerer, i.e. We can assume that the TRHITW factor is 0 and only when Softandok is 0
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LongQuery
web_production: 17
Weight: 0.030334786608805 The amount of IDF words of the request. The name does not reflect the essence: for example, for the request of 'Gadyach' this factor will be more than for the request of 'Moscow Peter Yekaterinburg Samara'.
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Geo
web_production: 22
Means the coincidence of the region of the user and the site at the level of countries. Binar factor: 1-rush, 0-no. It is based on ((http://wiki.yandex-team.ru/ Yandexposisk/ Classification of Sytraitniki/ Geographic/Sospolzanievpoysk Geoklassification of sites)))))))
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SubqueryThMatch
web_production: 23
Coincidence of thematic spectra of request and document. Request themes-the result of work ((http://wiki.yandex-team.ru/evgenijjkroxalev/subquery Rules of the sorcerer Subquerysearch)) The subject of the document is taken from Yandex-Catalog
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TRref
web_production: 25
The factor about the number of Refines. In the queries, there is a feature of user refines ('' word that is faced with a percentage sign '). According to the idea, this means something like 'it would be good if the word in the document was'. The only famous ((http://staff.yandex-team.ru/gulin Andrey Gulin)) the valuable use of this feature is a request [ %official %site name of the film]. This feature is unknown to users, because Not described in any documentation. It is planned that it will disappear from the tongue of requests, but in the sorcerer the words with the priority of User_refine will remain. The factor indicates how much the maximum user_refine was simultaneously found in the framework of a single hit in the quorum. It is believed that there are from 0 to 3 (if> 3, then it is believed that 3). This number is waved in the half interval [0.1)
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TRboost
web_production: 26
The number for which some linseed factors are multiplied (namely, factors number 6, 7, 47, 66), if text relevant 0, and there are few links
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TRLRlemma
web_production: 27
In textual relevance, Lemma coincides.
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RelevSentsDssm
web_production: 29
DSSM model, trained for reformulations, in the document uses relevant to the request of the proposal
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FreshNewsDetectorPredict
web_production: 30
The value of the news detector calculated in the Hippo. Always 0 with a detector value less than the threshold.
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LRHitNum100
web_production: 31
Weight: 0.033485833700259 The transformed number of words of the request in all url linos.
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LRHitNumGt16
web_production: 32
The document LR> 20 The number of words of the words of the request in the Links> 16, the factor about LR.
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PctLinks
web_production: 33
Weight: -0.141668202468497 For documents with a high LR, a normalized lincat relevance excluding proximity, for documents with a low LR 0
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HasLR
web_production: 34
URL High LR.
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AliceMusicTrackTitleCosineMatchMaxPrediction
web_production: 36
The value of the cosinematchmaxprediction factor for the Stryim ALICEMUSIC
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PopularQ
web_production: 38
The popularity of the request
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TRUnmapped
web_production: 39
TR divided by a cube of the number of words in a request and transformed by a standard REMAPTR.
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AliceMusicTrackTitleAnnotationMaxValueWeighted
web_production: 44
The value of the factor annotationmaxvalueEWEEGTED for Stryim ALICEMUSIC
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QueryURLClicksPCTR
web_production: 45
How often they click in this URL for this request - CTR blasting for the correction factor
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TextBM25
web_production: 46
Simple BM25 in text.
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LinkBM25
web_production: 47
Simple BM25 for links, the weights of the braces are not taken into account.
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TLBM25
web_production: 48
Weight: 0.031399776481102 Simple BM25 in text and links at the same time.
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TLp1
web_production: 49
All the words of the request are in the text + links.
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TxtPair
web_production: 53
Weight: -0.020921642736537 Simple BM25 in pairs of words - we take all pairs of words of the request and consider the number of their entry into the text of the document. In the quality of the weight of the pair we use the sum of the scales of words. It does not work if there is a stop-word in the request
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LnkPair
web_production: 54
The same as txtpair, but for links; Link weights are not taken into account.
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TxtBreak
web_production: 55
BM25 from the number of sentences in the document in which it occurs.
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TxtHead
web_production: 56
Weight: -0.037878046829073 BM25 according to only in the heading.
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TxtHiRel
web_production: 57
BM25 according to only with High Rel-bots ('significant', with the allocation (<b> ITP)).
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WordCount
web_production: 59
Min (number of words of request/10, 1.f)
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InvWordCount
web_production: 60
1 / quantity_lov_v_
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HasNoTR
web_production: 61
The document has no TR.
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HasNoLR
web_production: 62
The document has no LR.
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HasNoQueryURLShows
web_production: 63
For this Urla, for this request, there is no information about clickness 1 - request or request -URLA in the click database, 0 - query URL in the clicks database
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HasNoQueryShows
web_production: 64
Weight: 0.205699196177282 For this request, there is no information about the clickness of 1 - there is no request in the click database, 0 - the request is in the click database.
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LogLR
web_production: 66
Weight: 0.026926509552263 Logarithm from LR, linearly displayed in [0.1].
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TxtPairEx
web_production: 67
Weight: -0.00667940021707 the presence of pairs of words in the exact form
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TxtBreakEx
web_production: 68
Weight: 0.024006117828321 the number of sentences in which there are many words in the exact form
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TxtHeadEx
web_production: 69
Weight: -0.03957553241619 the presence of words in the header in the exact form
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TxtHiRelEx
web_production: 70
BM25 in the exact form
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TxtBm25Ex
web_production: 71
Simple BM25 in the exact form.
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TxtPairSy
web_production: 72
Weight: -0.022152880819573 the presence of pairs of words taking into account synonyms (> = txtpair)
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TxtBreakSy
web_production: 73
Weight: -0.116819481337211 the number of sentences in which there are many words taking into account synonyms
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TxtHeadSy
web_production: 74
Weight: -0.012919083353605 the presence of words in the header, taking into account synonyms
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TxtHiRelSy
web_production: 75
Weight: -0.039215257302626 BM25 taking into account synonyms
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TxtBm25Sy
web_production: 76
Simple BM25 taking into account synonyms.
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QueryDOwnerClicksPCTR
web_production: 77
Weight: 0.219595036178226 How often they click in the URLs of this Domainid for this request - Ctr Domainid blasting for the correction factor
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HasNoQueryDOwnerShows
web_production: 78
Weight: 0.160379344658431 For this Domainid, for this request there is no information about clickability 1 - request or request -owner is not in the clicks database, 0 - the request for clicks is in the database of clicks
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Megafon
web_production: 80
The relative frequency of the words in the links (1 - the words of the request are often found in links, 0.3 - rarely); More precisely, the value of this factor is pessimized provided: TR = 0 && LR = 0 & (there is not a single link with all the words of the request) && (did not pass the quorum) && (at least one pair of words of the request is found in the text)
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XLRp0
web_production: 81
There are all the words of the request in the links
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XLRp1
web_production: 82
There are all the words of the request in one link
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XLRp2
web_production: 83
Weight: 0.0051601584234 There is a link that has passed quorum
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XLRgood
web_production: 84
Weight: -0.00083343707893 What is the share of “good” links
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XLRmanyBad
web_production: 85
How many “bad” links (bad = DPR = 0)
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XLRmaxDpr
web_production: 86
Weight: -0.065082391728977 Maximum DPR links
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XLRtfidf
web_production: 87
TFIDF ordinary TF*IDF by links. The frequency of the word in the links is multiplied by the reverse document frequency and summarized in all words, then it is normalized to the length of the document.
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XLRrelev
web_production: 88
Linkovaya relevance by Gulina
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XLRrelev200
web_production: 89
Linkovaya relevance by Gulina
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XLRlogRelev
web_production: 90
Linkovaya relevance by Gulina
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BFexact
web_production: 91
There is an exact form of all words of the request in the text/lincers
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BFlemma
web_production: 92
There is a lemma of all the words of the request in the text/lincers
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SoftAndOk
web_production: 93
The document passed Softand on the restrictions of the syntactic sorcerer. Only for documents with textual relevance. For monosyllabic requests, always 1.
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MusicQ
web_production: 108
The musicality of the request. The results of the sorcerer Anton Konygin.
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XLExactMatches
web_production: 109
The number of links that exactly coincide with a request
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QueryNonCommerciality
web_production: 112
The commercial request for the dictionary of phrases from Direct: 0 - maximum commercial, 1 - minimal.
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LinkSpeed
web_production: 115
Weight: 0.009455905387837 The number of reverse dispersion times of the appearance of links with the words of the request
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XThLRrelev
web_production: 116
Link relevance, taking into account thematicity
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XThLRrelev200
web_production: 117
Link relevance, taking into account thematicity
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XThLRlogRelev
web_production: 118
Link relevance, taking into account thematicity
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XLerfLRrelev
web_production: 119
Link relevance, taking into account the quality of each link
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XLerfLRrelev200
web_production: 120
Link relevance, taking into account the quality of each link
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XLerfLRlogRelev
web_production: 121
Weight: 0.060594485044371 Link relevance, taking into account the quality of each link
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XLerfThLRlogRelev
web_production: 122
Link relevance, taking into account the quality of each link and thematicity of each link
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XNonCommLRlogRelev
web_production: 123
Link relevance, taking into account the non -profitability of each link
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XNonCommThLRlogRelev
web_production: 124
Link relevance, taking into account the non -profitability of each link and thematic
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XNonCommLerfLRlogRelev
web_production: 125
Link relevance, taking into account the non -profitability of each link and quality of each link
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XNonCommLerfThLRlogRelev
web_production: 126
Link relevance, taking into account the non -profitability of each link, the quality of each link and thematicity
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GeoCityProxim
web_production: 127
Weight: 0.051465613603836 Means the coincidence of the region mentioned in the request and found sites at the level of areas. Binar factor: 1-rush, 0-no. It is based on ((http://wiki.yandex-team.ru/ Yandexposisk/ Classification of Sytraitniki/ Geographic/Sospolzanievpoysk Geoklassification of sites)))))))
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LinksWithWordsPercent
web_production: 128
Weight: -0.060922780495065 The percentage of incoming links with the words of the request
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LinksWithAllWordsPercent
web_production: 129
Weight: -0.08383112850758 The percentage of incoming links with all the words of the request
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PornoQuery
web_production: 130
Are there any words from Yweb/Pornofilter/Porno.query.
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GeoRegionProxim
web_production: 137
Weight: 0.082967074248567 |
HasNoAllWordsTRSy
web_production: 138
The document does not have all the words of the request (with an accuracy to a synonym)
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NumWordsTRSy
web_production: 139
The percentage of the words of the request in the document (with an accuracy to a synonym)
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HasAllWordsTRSy
web_production: 140
The document has all the words of the request (with an accuracy to a synonym)
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NumWordsLR
web_production: 141
The percentage of the words of the request in the links (with an accuracy to a synonym)
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HasAllWordsLR
web_production: 142
There are all the words of the request in the links (with an accuracy to a synonym)
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PayDetectorPredict
web_production: 143
The value of the commerce detector calculated in the Hippo.
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TxtInvPair
web_production: 144
Tr by pairs of words in the reverse order
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LnkInvPair
web_production: 145
Lr by pairs of words of the request in the reverse order
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TxtSkipPair
web_production: 146
Weight: -0.077504878926916 TR by pairs of words of the request through one word in texts
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LnkSkipPair
web_production: 147
Lr by pairs of words of the request through one word in texts
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NumWordsTRFm
web_production: 148
The percentage of all the words of the request in the text (with an accuracy to the form)
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HasAllWordsTRFm
web_production: 149
The document has all the words of the request (with an accuracy to the form)
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QDiversity
web_production: 150
Weight: 0.046783126435468 The degree of centralization of the points from which the request is set
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QBlog
web_production: 151
Whether the request of blog vocabulary contains
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XGeoLRlogRelev
web_production: 152
Weight: 0.009314594460961 log (lr, narrowed to the country of the user)
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XLerfGeoLRlogRelev
web_production: 153
Weight: 0.044511155721215 log (leerflr, narrowed to the country of the user)
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NonCommercialQuery
web_production: 154
Binar non -profit request: Querynoncommerciality> 0.965.
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XLExactMatchesMap
web_production: 155
The number of links that coincide with the text of the request (other Remap)
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XLerfNormLRlogRelev
web_production: 156
Xlerflrlogrelev (normalized for the amount of LerF-wwees of all links, and not for the amount of their source scales)
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XNonCommNormLRlogRelev
web_production: 157
Weight: 0.062474190501436 Xnoncommlrlogrelev (normalized for the amount of noncomm all links, and not for the amount of their source scales)
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XNonCommThNormLRlogRelev
web_production: 158
Link relevance, taking into account the non -profitability of each link and thematic
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XNonCommLerfNormLRlogRelev
web_production: 159
Xnoncommelrfnormlrlogrelev (normalized for the amount of noncommlrf-wigles of all links, and not for the amount of their source scales)
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XNonCommLerfThNormLRlogRelev
web_production: 160
Link relevance, taking into account the non -profitability of each link, the quality of each link and thematicity
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LinkAge
web_production: 163
Weight: 0.000426528744914 The average age of links that brought something to LR linkage = min (log (average age of links)/7, 1), 3 years are adopted for 1
|
XLangLRlogRelev
web_production: 166
LR, taking into account the coincidence of the language and request
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XLerfLangLRlogRelev
web_production: 167
Weight: 0.000094696411924 LR, taking into account the coincidence of the language of the link and request and accuracy
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QueryURLClicksFRC
web_production: 168
the ratio of the number of clicks on this Urlu to all clicks on request
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QueryDOwnerClicksFRC
web_production: 169
Weight: 0.214713693660762 the ratio of the number of clicks on this Domainid to all clicks on request
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QueryURLClicksPCTR_copy
web_production: 170
[Bug: A copy of factor 45] How often they click in this URL for this request - CTR blasting for a correction factor
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DoppQueryUrlSessionClicksFRCCity
web_production: 171
What part (on average by the session) from the user Urlov’s user, this URL user, who has been completed to it, is this URL. It is considered to be user sessions.
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QueryURLClicksPCTR_Reg
web_production: 172
How often do they click in this URL for this request - CTR blasting for the correction factor, by small regions from Relev_regions.web.txt
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QueryDOwnerClicksPCTR_Reg
web_production: 173
Weight: 0.047914113074106 How often they click in the URLs of this Domainid for this request - Ctr Domainid to the correction factor, by small regions from Relev_regions.web.txt
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QueryURLClicksFRC_Reg
web_production: 174
Weight: 0.023610887210981 The ratio of the number of clicks on this Urlu to all clicks on request, by small regions from Relev_regions.web.txt
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QueryDOwnerClicksFRC_Reg
web_production: 175
Weight: 0.118638180985299 The ratio of the number of clicks on this Domainid to all clicks on request, by small regions from Relev_regions.web.txt
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QueryURLClicksCombo_Reg
web_production: 176
Query URL Clicks Combo, in small regions from Relev_regions.web.txt
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QueryDOwnerClicksCombo_Reg
web_production: 177
Weight: 0.160420713540373 Query Download Clicks Combo, in small regions from Relev_regions.web.txt
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XLRCatalogRelev
web_production: 178
Weight: 0.0199886635755 LR for catchard descriptions
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XLRYaCatalogRelev
web_production: 179
LR to write off in Yandex.Catalog
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ExactWordOrderLen
web_production: 180
The length of the maximum coincidence of forms in the text and request
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ExactWordOrderWeight
web_production: 181
Weight of maximum coincidence of forms in the text and request
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WordOrderLen
web_production: 182
The length of the maximum coincidence in the lemma in the text and request
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WordOrderWeight
web_production: 183
The weight of the maximum coincidence by lemma in the text and request
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LinkMaxAge
web_production: 184
The maskimal age of a significant accumulation of links that brought something to LR
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TRp1All
web_production: 185
Options for relevant factors taking into account the feet of words
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LRp1All
web_production: 186
Options for relevant factors taking into account the feet of words
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TLp1All
web_production: 187
Weight: 0.055767877134775 Options for relevant factors taking into account the feet of words
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BFexactAll
web_production: 188
Options for relevant factors taking into account the feet of words
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BFlemmaAll
web_production: 189
Weight: 0.059222635368125 Options for relevant factors taking into account the feet of words
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PassageLegacyTR
web_production: 190
Weight: 0.038806477920761 TR of the best passage - how high -quality snippet
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TxtBM25AttenSyn
web_production: 191
Weight: 0.075434934641649 Tr with discount for suggestions
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MaxWordHostRank
web_production: 192
Weight: 0.230257144838931 Host Rank according to the most pronounced word of request (usually this is the name of the site)
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MaxWordHostClicks
web_production: 193
Weight: 0.345115883490577 Domattr clickness for the most expressed word. For example, for all requests in which there is a word Wikipedia click on Wikipedia warders.
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DomPhraseRank
web_production: 194
Hostrank by separate words
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DomPhraseClickRank
web_production: 195
Weight: 0.076343383792772 Domain clickability by words
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AliceMusicTrackTitleAnnotationMatchWeightedValue
web_production: 197
The value of the Factor AnnotationMatchweighhedValue for Stryim ALICEMUSIC
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TRWithStops
web_production: 199
Weight of maximum coincidence of forms in the text and request
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LRWithStops
web_production: 200
Weight of maximum coincidence of forms in the text and request
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DomPhraseYabar
web_production: 211
Weight: 0.085276276270387 Transitions to the site from search engines by individual words, according to the bar
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AliceMusicArtistNameBclmMixPlainK000001
web_production: 212
BCLMIXPLAINK000001 Factor value for Alicemusic
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QueryUrlLCS
web_production: 213
The largest total tuning of Urla and request, normalized by the length of Urla
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OnlyUrl
web_production: 214
All coincidences are only in the URL, there are no coincidences in the text
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GeoRelevRegionCity
web_production: 215
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GeoRelevRegionRegion
web_production: 216
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GeoRelevRegionCountry
web_production: 217
Weight: 0.084012276385059 Three levels of coincidence of the geography of the user and page
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XLRGeoRelevRegionCity
web_production: 218
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XLRGeoRelevRegionRegion
web_production: 219
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XLRGeoRelevRegionCountry
web_production: 220
Weight: 0.042452794899003 Three levels of coincidence of the region of links and request
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GeoCountryProxim
web_production: 221
Weight: 0.01317157982937 Geographical proximity
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IsNavQuery
web_production: 222
Is the request for navigation, on the clicking of the answers
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MaxWordHostYaBar
web_production: 223
Weight: 0.315439457304752 The most characteristic word of the request corresponding to the site, according to the bar
|
FirstWordHostClicks
web_production: 224
Weight: 0.129641401501547 The clickability of the host according to the first word of the request. Quite often, the first (last) word word is a clear indication of the site on which the information should be sought.
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AliceMusicArtistNameCMMatchTop5AvgMatch
web_production: 225
The value of the CMMATCHTCHTOP5AVGMATCH factor for the Stryim ALICEMUSIC
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QueryDOwnerYabarVisits
web_production: 226
Weight: 0.147136648195774 |
QueryDOwnerYabarVisitors
web_production: 227
Weight: 0.119512833156651 |
QueryDOwnerYabarAvgTime
web_production: 228
Weight: 0.122090633457258 The average for users Active continuous time of the user is (in second) on the host pages after the transition on request from the search engine (the factor depends on the pair (request, Domattr)).
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QueryDOwnerYabarAvgTime2
web_production: 229
The average for users Active continuous time of the user is (in second) on the host pages after the transition on request from the search engine (the factor depends on the pair (request, Domattr)). In the inside of the Yandex. Bara/elements/browser counter
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QueryDOwnerYabarAvgActions
web_production: 230
The average for users is the number of active actions (clicks, clicks) with the continuous finding of the user on the host pages after the transition on request from the search engine (the factor depends on the pair (request, Domattr)). . In the inside of the Yandex. Bara/elements/browser counter
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QueryUrlYabarVisits
web_production: 231
|
QueryUrlYabarVisitors
web_production: 232
The number of unique visitors from search engines for a specific request
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QueryUrlYabarAvgTime
web_production: 233
The average for users Active continuous time of the user (in second) on the page after the transition on request from the search engine (the factor depends on the pair (request, URL)).
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QueryUrlYabarAvgTime2
web_production: 234
The average for users Active continuous time of the user (in second) on the page after the transition on request from the search engine (the factor depends on the pair (request, URL)). In the inside of the Yandex. Bara/elements/browser counter
|
QueryUrlYabarAvgActions
web_production: 235
The average for users is the number of active actions (clicks, keystrokes) on the page after the transition on request from the search engine (the factor depends on the pair (request, URL))
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AliceMusicArtistNamePerWordCMMaxMatchMin
web_production: 238
PERWORDCMMAXMATCHMIN Factor value for Alicemusic Stryim
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AliceMusicArtistNameAttenV1_Bm15_K05
web_production: 239
The value of the factor attenv1_bm15_k05 for the Stryim ALICEMUSIC
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AliceMusicAlbumTitleAnnotationMaxValueWeighted
web_production: 240
The value of the factor annotationmaxvalueEWEEGTED for Stryim ALICEMUSIC
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IsForeignQuery
web_production: 241
Request is not in Russian
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QueryRegionSize
web_production: 245
The size of the region of the request
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QueryRegionInvSize
web_production: 246
The factor is inversely proportional to the size of the regional region
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GeoGeometryProxim
web_production: 247
Weight: -0.000843495929565 The geographical proximity of the user and the site
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XLRVideoRelev
web_production: 267
Link factor about the presence of a video on the page.
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AuxTextBM25
web_production: 268
BM25 for the user region for localized queries, for the unflapped in Cuba, is a country. The texts of the queries sent for the regions can be viewed in Relev_regions.txt in the sorcerer
|
AuxLinkBM25
web_production: 269
The same for lingonic relevance
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CommLinksSEOHostsPornoQuery
web_production: 271
Previous factor multiplied by Pornoquery
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CommLinksSEOHostsNonComm
web_production: 272
Weight: 0.0033634994869 ComMlinksseohosts factor multiplied by Noncommercialquery
|
TovarCategoryQuery
web_production: 273
The request mentions the product category. Not used (depreded)
|
TovarCategoryVendor
web_production: 274
The request mentions a vendor. Not used (depreded)
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Diversity2
web_production: 275
Weight: 0.001181036676865 Geographical distribution of the request
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NightQuery
web_production: 276
The request is set mainly at night
|
MorningQuery
web_production: 277
Weight: -0.013510450334814 The request is set mainly in the morning
|
DayQuery
web_production: 278
The request is given mainly in the afternoon
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EveningQuery
web_production: 279
The request is set mainly in the evening
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HourDiversity
web_production: 280
The severity of the querial tasks at different times of the day
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LCor
web_production: 281
Weight: 0.038372460585705 Characterizes the frequency of words in links. The factor is large, if the word that played in a lincoat relevance is rare for links.
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SubqueryThMatchA
web_production: 282
Weight: 0.178646516342524 Coincidence of thematic spectra of request and document. Request themes - the result of work ((http://wiki.yandex-team.ru/evgenijjkroxalev/subquery Rules of the sorcerer Subquerysearch)) The subject of the document is determined by the automatic classifier
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TRDocQuorum
web_production: 283
The weight of the words of the request that is in the text
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LRDocQuorum
web_production: 284
The weight of the words of the request that is in the Links
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TRLRDocQuorum
web_production: 285
The weight of the words of the request that is in the text and links
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XPornoLRlogRelev
web_production: 289
Document Porn on the text of Leskok
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XPornoNormLRlogRelev
web_production: 290
Document Porn on the text of Leskok, other normalization
|
XPornoQuery
web_production: 291
Classifier of Porn Causions, another dictionary than Pornoquery
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AliceMusicAlbumTitleAttenV1_Bm15_K05
web_production: 292
The value of the factor attenv1_bm15_k05 for the Stryim ALICEMUSIC
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GeoCountryCountryProxim
web_production: 293
The geographical proximity of the country of the site and the country of request
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UrlDomainFraction
web_production: 294
Weight: 0.564095297143887 Coating domain three -bouqu and request. (Chelyabinsk lottery - Chelloto. We translate a request to translite, find the three -book that are covered (Che, Hel, Lot, Olo), we look at what share of all three -bouquets are covered)
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UrlPathAndParamsFraction
web_production: 295
Weight: -0.162220616846705 The same as the previous factor, but about the entire Url except the domain
|
SpecificalQuery
web_production: 296
The request is local-specific. The request is often reformulated with the obvious task of the region. ((https://ml.yandex-team.ru/archive/thread1433892/#Message1433892 more))
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JokerLen
web_production: 297
We consider text features, believing that the page title is attributed to each of its proposal, i.e. The distance between the word from Title and any other word 1 sentence. Len is the maximum attitude of words from the request of the text met in some sentence (with attributed Title) in relation to the length of the request. Example [Harms Circus Vertunov] for ((http://wiki.yandex-team.ru//h.yandex.net/?http%3A%2F%2FWWWWIKILIVRES.info%2FWIKI%2F%25D0%25A6%25D %25b8%25D1%2580%25D0%25D0%25A %25BC%25D1%2581%of this document))
|
JokerWeight
web_production: 298
The ratio of the amount of IDF words in a sentence+Title to all words.
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ExactJokerLen
web_production: 299
The same as Jokerlen, in the exact forms
|
ExactJokerWeight
web_production: 300
The same as Jokerweight, in the exact forms
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LnkBreak
web_production: 302
Weight: 0.078872214489662 Analogs of the corresponding text factors for links. BM25 from the number of links in which a coincidence occurred.
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LnkBm25Ex
web_production: 303
Simple BM25 in the exact form in link texts
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LnkPairSy
web_production: 304
Weight: 0.046891090311905 The presence of pairs in the links of the words, taking into account synonyms
|
LnkBrkSy
web_production: 305
Weight: 0.035447186193336 The number of links passed the threshold
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LnkBm25Sy
web_production: 306
Simple BM25 by links taking into account synonyms
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VideoQuery
web_production: 307
Request about the video
|
XLRMarketRelev
web_production: 318
LR by links from Yandex.Market
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Has2ExactQueryParts
web_production: 322
The request is fully covered by two exact groups consisting of an exact Match of the words of a contract in a row ((http://wiki.yandex-team.ru/poiskovajaplatform/tr/coveragebygroups about coating in groups))
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HasLevensht1QueryFragment
web_production: 323
There is a group consisting of an Exact Match of the words of the request that covers the request (possibly with a pass, addition or replacement of a word)
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LargestSyInexactGroup
web_production: 324
Weight: -0.067337343351376 The share of the request, covered by the longest group consisting of any hits (including word forms and synonyms). Possibly with a pass, addition or replacement of a word
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TimeProfilesMatchWD
web_production: 325
Characterizes the proximity of temporary profiles of request and documents on business days
|
TimeProfilesMatchWE
web_production: 326
Characterizes the proximity of temporary profiles of the request and documents on weekends
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GeoRegionalityU
web_production: 328
Requestful factors - the result of work ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/georegionality classifier of geolocalization of the request)))))))))))))
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GeoRegionalityR
web_production: 329
R- Georelevan - regional results in the issuance could be useful, but nothing more
|
GeoRegionalityV
web_production: 330
V- geovital - regional issuance is of fundamental importance
|
AliceMusicTrackArtistNamesAllWcmMaxMatch
web_production: 332
ALLWCMMAXMatch factor
|
AliceMusicTrackAlbumTitleCosineMatchMaxPrediction
web_production: 333
The value of the cosinematchmaxprediction factor for the Stryim ALICEMUSIC
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QueryDOwnerSessNormDuration
web_production: 339
CONTRY / K
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QueryDOwnerWeightClick
web_production: 340
Weight: 0.202186193546053 w/k
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QueryDOwnerOnlyClickRate
web_production: 341
Weight: 0.185032224423923 o/i
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QueryDOwnerClickSummary
web_production: 342
Weight: 0.077454131996933 Selected formula
|
QueryDOwnerSatisfied4Rate
web_production: 343
Weight: 0.148292222594522 r_s4b/(r_k + 10)
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SyntQuality
web_production: 344
Weight: 0.010872234578071 Does the request have a complete syntactic analysis
|
HasTextPos
web_production: 350
The document has textual relevance
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QSegmentsBM25
web_production: 351
Weight: -0.059299975637935 BM25, where the selected segments of the request act as 'words'
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QSegmentsWeight
web_production: 352
Weight: -0.057628362537565 'Weight' of the segments of the request in the text
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QueryURLClicksCombo
web_production: 361
factor cunningly combined from FRC and Pseudo-CTR
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QueryDOwnerClicksCombo
web_production: 362
Weight: 0.369078039338024 factor cunningly combined from FRC and Pseudo-CTR
|
LRAmortizedByAge
web_production: 363
Weight: 0.003128580544172 Link relevance with pessimization for great age Link
|
DoppDOwnerPCTR
web_production: 373
The analogue of the QueryDownerClickSpCTR factor differs from it in that the requests are normalized by doppelgage (details of such normalization -((http://staff.yandex-team.ru/finder Andrei Plakhov)), code/yandex/doppelganges)
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DoppDOwnerPCTR_Reg
web_production: 374
The analogue of the QueryDownerClickspCTR factor differs from it in that the requests are normalized according to doppelgage (details of such normalization -((http://staff.yandex-team.ru/finder Andrei Plakhov)), code/yandex/Doppelganges). Localized to Relev_regions.web.txt
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DoppUrlPCTR
web_production: 375
The analogue of the QueryurlClickSpCTR factor differs from it in that the requests are normalized by doppelgagers (details of such normalization - ((http://staff.yandex-team.ru/finder Andrei Plakhov)), code - Yandex/Doppelganges)
|
DoppUrlPCTR_Reg
web_production: 376
The analogue of the QueryurlClickSpCTR factor differs from it in that the requests are normalized by doppelgage (details of such normalization - ((http://staff.yandex-team.ru/finder Andrei Plakhov)), code - Yandex/Doppelganges). Localized to Relev_regions.web.txt
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UrlBM25
web_production: 377
Weight: 0.066890922161289 BM25 on URL'U
|
MatrixNet
web_production: 379
Weight: 0.114624515228977 Matrixnet is applied to all factors - formula (tg_unized - to prevent the entrance to any formulas)
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TextMaxForms
web_production: 385
Weight: -0.015212586791057 The maximum number of forms in all words of the request is max in all words of the request request_form_dl_lov/64
|
TextWeightedForms
web_production: 386
Weight: 0.022803839020796 The sum of the number of forms balanced by the scales of words - the amount in all words of the request of the number_form_dly_lov/64*weight_lov; REMAP species x/(1 + x).
|
TextForms
web_production: 387
Weight: -0.008656938143421 The unwarmed amount of the number of forms is the amount in all words of the request of the number_form_dl_lov/64/number_lov_
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LinkMaxForms
web_production: 388
The maximum number of forms in all words of the request
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LinkWeightedForms
web_production: 389
Weight: 0.096811143316269 Summer of the number of forms balanced by scales
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LinkForms
web_production: 390
Undested amount of the number of forms
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TR_W1
web_production: 391
Analogues of the factors of the same name, the weight of the word = 1
|
XLR_W1
web_production: 392
Analogues of the factors of the same name, the weight of the word = 1
|
TextBM25_Fm_W1
web_production: 393
Analogues of the factors of the same name, the weight of the word = 1
|
TextBM25_Sy_W1
web_production: 394
Analogues of the factors of the same name, the weight of the word = 1
|
LinkBM25_W1
web_production: 395
Analogues of the factors of the same name, the weight of the word = 1
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TLBM25_W1
web_production: 396
Analogues of the factors of the same name, the weight of the word = 1
|
QSegmentsBreaks
web_production: 397
Weight: 0.017641843798363 Request segments are parts of the request, which in themselves are frequency requests. The factor shows how much the segments are in the text. value 0 - all words are found only within the framework of the indicated segments, 1 - all the entries break segments
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AliceMusicTrackLyricsCMMatchTop5AvgMatch
web_production: 398
The value of the CMMATCHTCHTOP5AVGMATCH factor for the Stryim ALICEMUSIC
|
IsOrg
web_production: 408
Weight: -0.018278527670779 The request is the name of the organization (example: Gazprom, Gazprom) ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees Description))
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AliceMusicArtistNameCMMatchTop5AvgMatchValue
web_production: 409
The value of the CMMATCHTCHTOP5AVGMATCHVALUE factor for Stryim ALICEMUSIC
|
SmartUkrainian
web_production: 411
|
SmartBelorussian
web_production: 412
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LRWithoutRare
web_production: 413
Weight: -0.011221458184058 Link relevance without taking into account rare words
|
GeoRegionalityUNew
web_production: 416
Requestful factors - the result of the work ((http://wiki.yandex-team.ru/poiskovajaplatforma/lingvistika/zaprosnyjefefactory/localizovannyjezaprosya classifier of the request of the request)) - a new version of factors [328] - [328] - [328]: u - u - u - u - u - u - uceleless sites the request is meaningless;
|
GeoRegionalityRNew
web_production: 417
Запросные факторы - результат работы ((http://wiki.yandex-team.ru/PoiskovajaPlatforma/Lingvistika/ZaprosnyjeFactory/LocalizovannyjeZaprosy классификатора геолокализованности запроса)) - новая версия факторов [328]-[330]: R - георелевантные - региональные результаты в issuing could be useful, but nothing more;
|
GeoRegionalityVNew
web_production: 418
Requestful factors - the result of work ((http://wiki.yandex-team.ru/poiskovajaplatforma/lingvistika/zaprosnyjefefactory/localizovannyjezaprosya classifier of the request of the request)) - a new version of factors [328]: Vegetable fundamental importance.
|
AliceMusicArtistNamePerWordCMMaxPredictionMin
web_production: 419
The value of the PERWORDCMMAXPREDITICIONMIN factor for the Stryim ALICEMUSIC
|
QClassDownload
web_production: 421
= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen
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QClassBrandnames
web_production: 422
The result of the classifier of the request - in the request there are words from the corresponding dictionary. brand
|
QClassDisease
web_production: 423
Medication Dictionary
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QClassKak
web_production: 424
question
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QClassMoscow
web_production: 425
Specific request for Moscow
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QClassOAO
web_production: 426
Weight: -0.005085205304656 organization
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QClassPorno
web_production: 427
porn
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QClassTravel
web_production: 428
trips
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QDOwnerStatPower
web_production: 432
Weight: -0.025355498987515 The number of Owner shows on request, normalization x/(100 + x).
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QUrlStatPower
web_production: 433
Weight: -0.194376876842978 The number of URL shows on request, normalization x/(100 + x).
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DssmYaMusicASREarlyBindingCe
web_production: 436
DSSM model with early binding, trained on reforming and learned by ASR hypotheses of musical requests for Alice
|
DssmBertDistillSinsigCeCountryRegChain
web_production: 437
A model trained on a PRS-Law PRS to predict BERT, trained on sinsig_ce with threshold value 0.5, using a chain of regions to the country
|
DssmYaMusicEarlyBindingCe
web_production: 438
DSSM model with early binding, trained on reforming and learned on musical requests for Alice
|
PiracyDetectorPredict
web_production: 440
The value of the pirate detector calculated in the hippo.
|
HostInQuery
web_production: 443
The host of the document is recognized in the request
|
VitalHostInQuery
web_production: 444
URL consists only of the host, which is recognized in the request
|
YandexNewsStoryUrl
web_production: 445
URL is the plot of Yandex News
|
Swbm25
web_production: 452
Weight: 0.019740981979634 Cunning BM25 in a sliding window. The size of the window is set in sentences. 'Jokers' are used for headlines and the beginning of the document. Morphological proximity and structure of the text are taken into account. The weight of the window fades with the removal from the beginning of the document.
|
PositionLanguageModel
web_production: 453
Weight: -0.032269052994315 The factor about that, a good snippet can turn out.
|
TxtPair_W1
web_production: 454
Weight: -0.016932610010322 Simple BM25 in pairs of words - we take all pairs of words of the request and consider the number of their entry into the text of the document. Weight = 1. It does not work if there is a stop-word in the request
|
LanguageCompliance
web_production: 469
Weight: 0.054576897612176 The language of the document corresponds to the language language
|
CountryPopularQ
web_production: 470
The popularity of the request within the country
|
CountryQDiversity
web_production: 471
Weight: 0.03718037385465 The degree of centralization of the points from which the request is set (inside the country)
|
CountryQDiversity2
web_production: 472
Weight: -0.00120970063307 Geographical distribution of the request within the country
|
CountryHour
web_production: 473
The hour at which this request is given the most
|
CountryHourDiversity
web_production: 474
The degree of severity of the querial tasks at different times of the day (inside the country)
|
NationalDomain
web_production: 476
The country of the document (domain) and the country of the user coincide ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaFormula/tekushhiekomponijafaktorov#national
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CountryQueryRegionality
web_production: 479
Weight: 0.012081787040108 Country classifier of localization - how much the request implies the context of the country
|
BM25FdPR_obsolete
web_production: 481
Weight: 0.054156294329288 BM25 with different parameters for different fields, including an incoming anchortekst. The weight of the text of the links included on the page is normalized depending on Delta Page Rank links
|
YmwFull
web_production: 492
Weight: -0.044940112806396 The size of the minimum piece of text, including all the words of the request found in the document. Not used now. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/ymw Read more))
|
Bclm
web_production: 493
Weight: 0.030786458206337 Buettcher, Clarke and Lushman factor (modified) ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushichiekomponenty/bclm more)))))))))
|
QueryCommercialityMx
web_production: 494
Weight: 0.103903118421863 The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))
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FieldLM
web_production: 495
Weight: 1.36522746e-7 Unigramal language model. Language is modeling according to the document, smoothed out by the general linguistic model. When building a model, the document uses information on which field of the document met the word request (Title, Head or Plain Text)
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GeoCityUrlRegionCity
web_production: 496
The coincidence of geography, determined from the Url of the document and the city of the request (IP or LR)
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GeoCityUrlRegionRegion
web_production: 497
The coincidence of geography, determined from the Url of the Document and the Request region (IP or LR)
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GeoCityUrlRegionCountry
web_production: 498
Weight: -0.168645758020604 The coincidence of geography, determined from the Url of the document and the country of request (IP or LR). Actual for Russia and Ukraine.
|
GeoCityUrlGeoCityCity
web_production: 499
The coincidence of geography, determined from Ural Documents and the City in the request (GEOCITY rule)
|
PayAppDetectorPredict
web_production: 500
The value of the chopped commerce detector, calculated in the hippo.
|
TitleTrigramsQuery
web_production: 501
Weight: 0.112928770384249 Calculates the coating of the request with letter trigrams of the document header
|
TitleTrigramsTitle
web_production: 502
Calculates the heading of the heading of the document header with letter trigrams
|
InlinksModel
web_production: 503
Probabilistic model built on the texts of incoming links
|
QueryWordSequencesTR
web_production: 504
Weight: -0.11860635115951 He considers the sum of the following species: the sequence of words of the request more than two, met in one sentence; It is normalized for the length of the document.
|
QueryWordSequencesLR
web_production: 505
He considers the sum of the following species: the sequence of words of the request more than two, met in one link; It is normalized to the number of links.
|
GeoRelevAlienCity
web_production: 507
Weight: 0.084699401575226 The result has a geography of the user at the city level ([415] == 1 && [215] == 0)
|
GeoVQueryInUserCity
web_production: 508
Request geovitality for results from the user region
|
GeoVQueryInAlienCity
web_production: 509
Request geovitality for the results is not from the user region
|
DmozThemeMatchAll
web_production: 511
Coincidence of the thematic spectrum (according to DMOZ) request and document. The theme of the request is determined ((http://wiki.yandex-team.ru/jandekspoisk/zarubezhnyjjinternet/dmozqueryClassifier1 The rule of the sorcerer Dmoztheme))
|
DmozThemeMatchBest
web_production: 512
Coincidence of the thematic spectrum (according to DMOZ) request and document. The theme of the request is determined by the best result ((http://wiki.yandex-team.ru/jandekspoisk/zarubezhnyjjinternet/dmozqueryClassifier1 Rules for the sorcerer DmozTheme)) The subject of the document is determined by the automatic classifier
|
Mpsa
web_production: 513
Weight: 0.093045433292429 Evaluates the minimum distance between the pairs of words of the request, taking into account the remoteness of the pair from the beginning of the document (Minimal Pair Size with Attenuation). Steles are understood to mean all consistent bigrams of the words of the request. Thus, the number of vapor is equal to the number of words in a request reduced by 1. Accordingly, the factor makes sense for requests consisting of more than one word. (Http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/ Tekushhiekomponenty/MPSA MPSA))
|
Bclm2
web_production: 514
It differs from BCLM in that the weights of all words are considered the same. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/bclm2 BCLM2))))))))))))
|
AbsolutePLM
web_production: 515
Text relevant based on the language model, taking into account the absolute position. We go along the text with a window of 20 words, build a language model on each window (that is, the distribution of probabilities in the words of the Russian language) and calculate the probability of generating a request. For removal from the beginning of the document, we finish the model.
|
IsGeo
web_production: 520
Weight: -0.027287688639737 It launches on the basic search under the name ISGEO the maximum weight of the meters of the gelator in the request. A geo-object is understood as an object of the category GEO, Geo1, Geoaddr, Geoaddr1, Landmark, Landmark1 (see ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects kaovsky allocation))))))))))))))))))))))))))))))). wiki.yandex-team.ru/arsengadzhikurbanov/wares Read more))
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IsMusic
web_production: 521
It launches for the basic search under the name ISMUSIC the maximum weight of the Music or Music1 category of the category of the Category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees more)))))))))))))))))))))
|
BclmLite
web_production: 522
Modification of the BCLM2 factor, lightweight for use in tulle. The main difference is that BCLMLite does not use absolute displacements of words relative to the beginning of the document. Instead, the factor works with the usual positions of the type <number of the_prising, position_v_production>. At the same time, the proximity between the words is taken into account only inside the sentence. (Http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaFormula/tekushichiekomponenty/bclmlite bclmlite)))))))))))))
|
NearbyQuery
web_production: 523
When responding to a request, the results are important in close proximity ([pharmacies], [children's clinic])
|
CityQuery
web_production: 524
Weight: -0.091993052812036 When answering a request, the results within the city are important (the bulk of localized queries)
|
AdmQuery
web_production: 525
When responding to a request, the results from the region of the user ([airport], [dairy]) are important
|
YmwFull2
web_production: 527
Weight: -0.044940112806396 Fixed YMWFull. It differs from the previous version only by behavior on 2 -word queries. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/ymw Read more))
|
FullQuorum
web_production: 528
Binary factor, every word of the request is in the text or in the links
|
AuxCTextBM25
web_production: 529
'Country praets' (AUXQC)
|
AuxCLinkBM25
web_production: 530
'Country praets' (AUXQC)
|
DBM25
web_production: 533
BM25, in which the weight of the word is machine -like
|
QueryWordCohesionTR
web_production: 534
Weight: -0.053739168786067 The factor evaluates as the words of the request is grouped with each other in the text of the document without taking into account their order. ((http://wiki.yandex-team.ru/sergejjkrylov/queryWordCohesionTR Description))
|
QueryDOwnerSessNormDuration_Reg
web_production: 537
CONTRY / K
|
QueryDOwnerWeightClick_Reg
web_production: 538
Weight: 0.115262514353577 w/k
|
QueryDOwnerOnlyClickRate_Reg
web_production: 539
Weight: 0.179216994410993 o/i
|
QueryDOwnerClickSummary_Reg
web_production: 540
Weight: 0.054680076158058 Selected formula
|
QueryDOwnerSatisfied4Rate_Reg
web_production: 541
Weight: 0.07148176099275 r_s4b/(r_k + 10)
|
XLRGeoRelevRegionNatDomain
web_production: 546
Weight: 0.013370500669584 |
QueryRefTrigramQuery
web_production: 549
Weight: 0.054926147793071 ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/opisanijafaktorov#queryreftrigrams Description))))))))))))))))))
|
QueryRefTrigramReferences
web_production: 550
Weight: -0.096496414873675 ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/opisanijafaktorov#queryreftrigrams Description))))))))))))))))))
|
IdfVariance
web_production: 551
Weight: 0.025691573951246 Dispersion of IDF words,
|
NationalLanguage
web_production: 553
The language of the document corresponds to the country's request
|
GeoCountryUrlRegionCountry
web_production: 555
|
GeoCountryUrlGeoCountry
web_production: 556
|
NumLinksFromSegmentContent
web_production: 557
Weight: 0.094045741102708 |
Locm
web_production: 558
Weight: -0.070483297609751 The order of words in exiles.
|
FiltrationSegments
web_production: 561
The share of the segments of the request present in the text
|
LanguageGoodForTurkey
web_production: 562
The language of the document is one of the permissible for Turkey (Turkish, English, German, French, Arabic, Azerbaijani) or the document has zero length. In the search stage is calculated only for Isrealgeolocal requests.
|
DBM25_2
web_production: 563
Variation of Temo ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/DBM25 dBM25), cm.
|
QueryDownerEnoughClicked
web_production: 565
Weight: -0.118870879105496 The number of clicks on the owner and the number of clicks on request more than 5
|
BM25FdPRFixed
web_production: 566
Weight: 0.058870258158539 BM25FDPR with standardization on the average length of the document, depending on the language of the document. ((http://wiki.yandex-team.ru/bm25frework test results.))
|
QueryDOwnerWeightedSumFRCAndBM25FdPRFixed
web_production: 568
Weight: 0.087850313290757 The amount of factors QueryDownerClicksFRC and BM25FDPRFIXED with scales 0.358449 and 0.184922, respectively. '565' in the name of the factor does not need to be perceived literally, it is Legashi or a typo.
|
QueryDOwnerWeightedSumMaxWHRAndOnlyClickRate
web_production: 569
Weight: 0.152953808712409 The amount of factors 192 and 341 with scales 0.298942 and 0.454625, respectively.
|
Tocm
web_production: 572
Weight: -0.005028751679547 The factor evaluates the differences in the positions of words in the heading from the posterity in the request
|
RelevGeoLinksPercent
web_production: 573
Weight: -0.069803680024687 |
HasMisspell
web_production: 575
There is a typo in the request
|
DBM30Smerch
web_production: 576
Variation of Temo ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/DBM25 dBM25), cm.
|
DssmBertDistillL2
web_production: 579
A pool of logs is marked with BERT trained on Sinsig. DSSM model is trained on this pool using BaseregionChain
|
HpDetectorPredict
web_production: 592
The value of the health detector calculated in the Hippo.
|
UrlGeoAdms
web_production: 601
The URL document corresponds to the user (http://wiki.yandex-team.ru/jandekspoisk/kacheStvopoiska/geo/regnavquerispoisk/KacheStvopoiska/GEO/RENAVAVQURIES)
|
UrlGeoCity
web_production: 602
URL document corresponds to the city of the user
|
RegNavQuery
web_production: 603
Regional and navigation request - in the user region there are one or more navigation results on it
|
DBM35
web_production: 606
Weight: 0.046757967567051 BM25 in texts and links with special. Libra in the level of coincidence (shape, lemma, synonym)
|
TRLRQuorumFm
web_production: 607
Weight: -0.062810308974889 The weight of the words of the request that is in the text in the exact form
|
TRLRQuorumLemma
web_production: 608
Weight: -0.003021983245146 The weight of the words of the request that is in the text with an accuracy to lemma
|
TRLRQuorumSyn
web_production: 609
The weight of the words of the request that is in the text
|
IsHum
web_production: 610
Weight: 0.003622338166697 It launches on the basic search under the name ISHUM the maximum weight of the enclosed object of the Hum or Hum1 category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ishum more)))))
|
IsText
web_production: 611
It launches on the basic search under the name ISTEXT the maximum weight of the TEXT or Text1 category of the category of the category met in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#istext more)))
|
IsPicture
web_production: 612
It launches on the basic search under the name Ispicture the maximum weight of the Picture or Picture1 category of the category of the category of the category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ispicture))))))))))))))))))
|
MaxOne
web_production: 613
Weight: -0.059871381556405 Returns the maximum degree of household objects in the request under the name Wmaxone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#maxone more)))))))
|
MinOne
web_production: 614
Weight: 0.113671587879567 Returns the maximum degree of household objects in the request under the name Wminone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#minone more)))))
|
OqBm25Str
web_production: 615
Weight: 0.125675707803009 BM25 on the request for Domattr index
|
OqBm25Lem
web_production: 616
Weight: 0.129668929638366 BM25 on the request for Domattr index
|
OqBm25Syn
web_production: 617
Weight: 0.112334631253023 BM25 on the request for Domattr index
|
OqBclmWeighted
web_production: 618
Weight: 0.105135837056982 BCLM for the Domattr Index
|
OqBclmPlain
web_production: 619
Weight: 0.254915495706702 BCLM on the request of the owners index
|
SmallWindow
web_production: 621
Maximum amount weight of the words of the request in the window of 50 words
|
RegexMaxClickPercent
web_production: 625
The share of clicks on this Urlu among all clicks on similar requests
|
RegexCtr
web_production: 626
Corrected CTR of this Urla for all similar requests
|
DomPhraseClickRankBi
web_production: 627
Weight: 0.209866937086235 Clicking domain on biograms (excluding thesaurus extensions of requests)
|
DomPhraseYabarBi
web_production: 628
Weight: 0.20518490511548 Transitions to the site from search engines by biograms, according to the bar (excluding thesaurus extensions of requests)
|
LastWordHostClicks
web_production: 629
Weight: 0.06275358178297 The clickableness of the host according to the latest request (excluding thesaurus extensions of requests)
|
SynSetLocm
web_production: 636
Weight: -0.070483297609751 Копия фактора ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Locm LOCM)) для((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty /Synset sinsetas)).
|
SynSetLinkBM25
web_production: 637
A copy of the LinkBM25 factor for ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushhiekomponenty/synset Sinsetov)).
|
DmozQueryBestTheme
web_production: 640
Weight: -0.000807198317231 The most likely theme of the request determined ((http://wiki.yandex-team.ru/jandekspoisk/zarubezhnyjjinternet/dmozqueryClassifier1 The rule of the sorcerer DmozTheme)), only the most popular topics are taken into account (but there are more than in the DMOZQUREMES factor). The factor contains the likelihood of a correspondence of the request of the theme, but for each topic, its own interval is taken on the segment [0..1]
|
DmozQueryThemes
web_production: 641
The theme of the request determined ((http://wiki.yandex-team.ru/jandekspoisk/zarubezhnyjjinternet/dmozqueryClassifier1 The rule of the sorcerer Dmoztheme)), only a few of the most popular topics are taken into account.
|
DiversityCategNeedPhoto
web_production: 642
0 or 1, depending on the presence in the request of the clearly expressed intent Need_photo from the variety
|
DiversityCategNeedMap
web_production: 643
0 or 1, depending on the presence in the request of the clearly expressed intent Need_map from the variety
|
LongQuerySyn
web_production: 644
Weight: 0.058415162135787 The factor is an analogue of LongQuery (the sum of the IDF words of the request), but with the 'correct' accounting of synonyms. Specifically, a minimum of IDF (i.e. the most frequent) of synonyms and words is selected.
|
UrlHasShortCountryNameToken
web_production: 645
Url contains a token that coincides with the short name of the user country. The factor is considered only on the EU stream.
|
ExpectedFound
web_production: 647
Expected number of found on request
|
ErratumLogQueryProbability
web_production: 650
Double logarithm of the probability of a request for a language model of the Erratum typo service
|
DBM40
web_production: 652
Variation of Temo ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/DBM25 dBM25), cm.
|
BM25_0
web_production: 654
Variation on the topic BM25
|
BM25_1
web_production: 655
Variation on the topic BM25
|
BM25_0123
web_production: 656
Variation on the topic BM25
|
QueryUrlCorrectedCtr
web_production: 657
'Fixed' clicks counted using REQUESTAGGRETELIB
|
QueryUrlCorrectedCtr_Reg
web_production: 658
'Fixed' clicks calculated using Requestaggregatelib. Regional version
|
DBMNumbers
web_production: 662
DBM separately by numbers
|
DBMGeo
web_production: 663
DBM separately by geo-objects of request
|
DBMSubstantive
web_production: 664
DBM separately on the noun
|
AvgSessionLen
web_production: 665
The average length of the logical session in which there was a request
|
NHopTextBclmWeighted
web_production: 666
BCLM (Weighted) by Hopes texts.
|
Bocm
web_production: 668
Evals the correspondence of the positions of words in the sentences of the document to the positions of words in the request.
|
FioMatch
web_production: 670
The document contains a name from the request.
|
XLerfGeoLRlogRelevCnt
web_production: 675
Regionalized (only links from the country of request are taken) variant of the Xlerfgeolrlogrelev factor
|
XNonCommLerfNormLRlogRelevCnt
web_production: 676
Regionalized (only links from the country of request are taken) variant of the factor XNONCOMMLERFNORMLRLOGRELAV
|
LocmCnt
web_production: 677
Regionalized (only links from the country of request are taken) Variant of Locm factor
|
XLRrelevCnt
web_production: 678
Regionalized (only links from the country of request are taken) variant of factor xlrrelev
|
XLerfLRrelev200Cnt
web_production: 679
Regionalized (only links from the country of request are taken) variant of factor Xlerflrrelev200
|
NavLinear
web_production: 680
((http://wiki.yandex-team.ru/jandekspoisk/antispam/polunavigacionnyezaprosy#faktornnostiparyurl-zapros Classifier)) pairs of vitalnikov [query Url], Url Vital for the request, if value is valuable for Ф> 0.5
|
DiversityCategDownload
web_production: 684
0 or 1 - whether the request is matured by the tickt
|
DiversityCategReview
web_production: 685
0 or 1 - whether the request is matured by the tickt
|
DiversityCategWatch
web_production: 686
0 or 1 - whether the request is matured by the tickt
|
QrTur
web_production: 687
The prediction of the share of “good” (at least two different cities and frequency> = 10) references to the request with geography in Turkey
|
QueryThEncyclopedic
web_production: 688
The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561
|
QueryThVideohosting
web_production: 689
The result of the work of the lexical classifier of requests predicting the likelihood of click on the page 3973 page
|
IsNavMxQuery
web_production: 690
Rank 'navigation'
|
QueryUrlYabarVisits_Reg
web_production: 691
Regional attendance from search engines for a specific request
|
BclmMax
web_production: 696
The proximity of the words of the request to the most difficult word.
|
RegexMaxClickPercentReg
web_production: 699
The share of clicks on this Urlu among all clicks according to similar requests, the country version, see ((http://wiki.yandex-team.ru/development/poisk/Arcadia/indexregex Indexregex)))))))))
|
RegexCtrReg
web_production: 700
Corrected CTR of this Urla for all similar requests, country version, see (http://wiki.yandex-team.ru/development/poisk/Arcadia/indexregex Indexregex))))))
|
Found
web_production: 701
The average number of found on request
|
YabarWordDepthNodesGradientMin
web_production: 702
The angle in the Depth Nodes space, counted only by words (min for all)
|
DBM15Wares
web_production: 703
|
XLRSourceRank
web_production: 707
|
XLRMainPage
web_production: 708
|
LcmVar
web_production: 711
Dispersion of the number of words in the links.
|
DBM15Wares2
web_production: 713
|
Cabm
web_production: 714
BM with attenuation in the text of catalog links.
|
BeastNqUrlMeanPos
web_production: 715
The average position of Urla for a normalized request
|
BeastNqOwnerMeanPos
web_production: 716
The average position of Domattr for a normalized request
|
UrlDomainSimilarityFixed
web_production: 724
|
QueryDOwnerClicksFRCRegGeo
web_production: 727
|
QueryURLClicksFRCRegGeo
web_production: 728
|
LanguageDistribution
web_production: 729
|
QueryURLClicksPCTRYear
web_production: 732
|
QueryURLClicksPCTRPreviousYear
web_production: 733
|
SmallWindowAttenuation
web_production: 734
|
UkrIsQueryLang
web_production: 741
Shows that a request in Ukrainian
|
QiQueryCount
web_production: 743
The number of requests in the group of frequency requests similar to a given
|
QiUrlFreqWeightedFRC
web_production: 744
FRC groups of frequency requests similar to a given, with averaging through the sum of clicks and shows
|
QiUrlFreqWeightedFRCReg
web_production: 745
FRC groups of frequency requests similar to a given, with averaging through the sum of clicks and shows, according to regional statistics
|
WordHostWikiSum
web_production: 747
The relative popularity of the Word -Host pair, where Word is the word from the Title article on Wikipedia, and the Host is the host that is referred to in this article.
|
RegWordHostClicksSum
web_production: 748
The relative clickability of the three Countryid-Word-Host according to the search in Yandex.
|
RegWordHostYabarSum
web_production: 749
The relative clickability of the three Countryid-Word-Host according to the data from popular search engines on the bar and Similargroup.
|
RegexMaxClickPercentYabarReg
web_production: 750
The share of clicks on this Urlu among all clicks on similar requests, counted according to Popular Search Engine
|
WordHostDownloadProbability
web_production: 754
The average according to the request is the probability of download the file from the host after click.
|
SynnormURLPCTR
web_production: 756
CTR according to click data, the request is normalized according to Sinsets
|
SynnormURLPCTRReg
web_production: 757
Regional CTR according to click data, the request is normalized according to Sinsets
|
HasPornoQuery
web_production: 760
The result of the work of Adult Rules for the Sorcerer.
|
QUBm15Weighted
web_production: 761
Weighed BM15 for a request for an index document - a list of requests for which they switched to it.
|
WeightedSumIsIndexPageBocm
web_production: 762
|
WeightedSumIsIndexPageIsNavMxQuery
web_production: 763
|
AuxTitleBM25
web_production: 770
TEXTBM25 is considered in the title by the text of the name of the user region - similar to the factor 268.
|
Bclmf
web_production: 771
BCLM for Annotation index, doc text and links.
|
PopularSEFRCBrowser
web_production: 773
FRC Popular Search System for Browser Logs
|
QueryUrlNhopTotalFrc
web_production: 775
The number of transitions on the request for URL, found in the Hopes chain, normalized to the general garlic of the transitions on request.
|
QueryUrlNhopIsFinal
web_production: 776
The probability of Urla to be the last upon request in the chain of Hopes.
|
GeoRelevRegionCityGeoa
web_production: 782
Factor Gorelevregions of the 1th Attichut and Geoa
|
GeoRelevRegionRegionGeoa
web_production: 783
Factor GorelevregionRegionRegion Natthew GEOA
|
GeoGeometryProximGeoa
web_production: 784
Factor Geogeetryproxim ▪ Attributu GEOA
|
GeoRelevAlienCityGeoa
web_production: 785
Factor Gorelevaliencity n Att. Att. Attibtu Geoa
|
GeoVQueryInUserCityGeoa
web_production: 786
Factor Geovqueryinusercidence n Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Att. Attfruut and Geoa
|
GeoVQueryInAlienCityGeoa
web_production: 787
Geovquery Geovqueryinieniencity n Att. Att. Attib
|
GeoRelevRegionCityAdresa
web_production: 791
GeorelevregionCity Factor on Adresa attribute
|
DoppQueryUrlSessionClicksFRC
web_production: 792
What part (on average in the session) from the clinked in this query Urlov is this URL. It is considered to be user sessions.
|
NHopTextBclmPlane
web_production: 795
BCLM (Plane) in texts from hopes.
|
SameQueryReturnFRCBrowser
web_production: 796
FRC by transitions from requests that were set by the user several times
|
QueryURLISBMCTR
web_production: 797
The average weight of the shows on the first page; Click weighs 1, non -click - according to the SBM_GAMMAS table
|
QueryURLISBMCTRReg
web_production: 798
The average weight of the shows on the first page; Click weighs 1, non -click - according to the SBM_GAMMAS table. Regional version
|
RegexBeastPositionReg
web_production: 799
Half -Summaria assessment of the position of Url with a median position for all similar queries on bisters
|
CommercialDssmOddLike
web_production: 812
Finetuned reformulations DSSM to commercial clicked bargain odd-like target from visit log
|
QueryConversionDetectorPredict
web_production: 819
The value of the conversion of the request calculated in the Hippo.
|
ShopInShopCPAUrl
web_production: 831
URL is Shopinshopcpa.
|
URLClicksMaxGeoCityFRCRatio
web_production: 839
Normalized corrected clicks maximum ratio by query with user's city(gc=) mentioned
|
URLClicksMaxGeoAlienCityFRCRatio
web_production: 840
Normalized corrected clicks maximum ratio by query with not user's city(gc=) mentioned
|
FastMx
web_production: 841
|
PurchaseTotalPredict
web_production: 842
The value of PURCHASETOTALPredict, calculated in the Hippo.
|
SerpSummarySurplusPredict
web_production: 843
The value of serpsummarysurpluspredict, calculated in the hippo.
|
RequestWith120D3ClickPartPredict
web_production: 845
Requestwith120d3ClickpartPredict value, calculated in the Hippo.
|
QueryNavParasitesDetectorPredict
web_production: 846
The value of the requester detector of the parasites calculated in the hippo.
|
HalfEcomPredict
web_production: 856
The value of Halfecompredict, calculated in the Hippo.
|
PrefixSuffixMaxClickPercentReg
web_production: 857
A factor similar to RegexmaxclickPercentreg, but calculated by Preffix-Suffix Generalization.
|
PrefixSuffixMaxClickPercentYabarReg
web_production: 858
A factor similar to REGEXMAXCLICKPERCENTYABARREG, but calculated according to PREFFIX-SUFFIX Generalization.
|
DssmNavigationL2
web_production: 859
Request and documentary navigation model.
|
QueryUrlCorrectedCtrXfactor
web_production: 861
Request-murl factor. Value is the result of the collaborative filtration of data for the QueryurlCorrectedCTR factor
|
FullMatrixNet
web_production: 862
The value of Matrixnet is a slow ranking model.
|
FastMatrixNet
web_production: 863
The value of Matrixnet with a quick ranking model.
|
FilterMatrixNet
web_production: 864
The value of the Matrixnet filter model.
|
SmallWindowAttenuationQ
web_production: 865
|
QueryDocTitleRangesMatchingScore
web_production: 866
The factor on the text of the request and heading (Title) of the document, assessment of the compliance of numerical ranges in words-markers
|
FullPolynom
web_production: 867
The value of Polynom is a slow ranking model.
|
FastPolynom
web_production: 868
The value of Polynom is a quick ranking model.
|
FilterPolynom
web_production: 869
The value of the Polynom filter ranking model.
|
SamplePeriodClickFrcSyn
web_production: 877
The share of Urla in the total number of Urlov closed for the session on request (Synnorm).
|
SamplePeriodDayFrcSyn
web_production: 878
The average share of clicks for this UrLU for this request among all clicks for this request (Synnorm) during the day.
|
SamplePeriodDayFrc
web_production: 879
The average share of clicks for this UrLU for this request among all clicks for this request (QNORM) during the day.
|
QiQueryUrlCorrectedCtrXfactor
web_production: 880
QI version of factor 861. MaxValue over the set of popular similar queries.
|
QiQueryURLISBMCTRReg
web_production: 881
QI version of factor 798. MaxValue over the set of popular similar queries.
|
SamplePeriodDayFrcXfactor
web_production: 886
Request-murl factor. Value is the result of the collaborative filtration of data for the SampleperiodDayFRC factor
|
FastFilterMatrixNet
web_production: 887
The value of Matrixnet with a fast filter model.
|
FastFilterPolynom
web_production: 888
The value of Polynom with a quick filter ranking model.
|
QiSamplePeriodDayFrc
web_production: 889
QI version of factor 879.
|
MetaMatrixNet
web_production: 890
Meet Matrixnet Meaning.
|
MetaPolynom
web_production: 891
Meeting Polynom.
|
CorrectedCtrAnnotationMatchPrediction
web_production: 895
Correctedctrreg factor in the annotation index, AnnotationMatchprediction factor
|
CorrectedCtrQueryMatchPrediction
web_production: 896
Correctedctrreg factor in the annotation index, QueryMatchpredical factor
|
CorrectedCtrValueWcmAvg
web_production: 897
Correctedctrreg factor in the annotation index, factor Valuewcmavg
|
CorrectedCtrBm15V4K5
web_production: 898
Correctedctrreg factor in the annotation index, factor BM15V4K5
|
AliceClickDssm
web_production: 900
DSSM CLOSE DISCOUNT according to data specific for Alice
|
TelFullAttributeTextBocm15K001
web_production: 901
The factor for telephone attributes Tel_Full from the original request text of the document. Algorithm for aggregation of the scales of words BOCM15. Normalization coefficient 0.01.
|
SamplePeriodDayFrcQueryMatchPrediction
web_production: 903
SampleperiodDayFRC Factor in the annotation index, QueryMatchpredical factor
|
SamplePeriodDayFrcAnnotationMatchPrediction
web_production: 904
SampleperiodDayFRC Factor in the annotation index, AnnotationMatchprediction factor
|
OneClickQueryMatchPrediction
web_production: 905
OneClick factor in the annotation index, QueryMatchpredical factor
|
OneClickAnnotationMatchPrediction
web_production: 906
OneClick factor in the annotation index, AnnotationMatchpredical factor
|
OneClickBm15AK4
web_production: 907
OneClick factor in the annotation index, factor BM15AK4
|
OneClickBocmWeightedW1K3
web_production: 908
OneClick Factor in the annotation index, Bocmweightedw1k3 factor
|
LongClickQueryMatchPrediction
web_production: 909
LongClick factor in the annotation index, Querymatchpredical factor
|
LongClickAnnotationMatchPrediction
web_production: 910
LongClick Factor in the annotation index, AnnotationMatchpredical factor
|
LongClickBm15AK4
web_production: 911
Longclick factor in the annotation index, factor BM15AK4
|
LongClickBocmWeightedW1K3
web_production: 912
LongClick factor in the annotation index, Bocmweightedw1k3 factor
|
SplitDwellTimeQueryMatchPrediction
web_production: 913
SPLITDWELLTIME Factor in the annotation index, QueryMatchpredical factor
|
SplitDwellTimeAnnotationMatchPrediction
web_production: 914
SPLITDWELLTIME Factor in the annotation index, AnnotationMatchpredical factor
|
BQPRQueryMatchPrediction
web_production: 915
BQPR factor in the annotation index, QueryMatchpredical factor
|
BQPRAnnotationMatchPrediction
web_production: 916
BQPR Factor in the annotation index, AnnotationMatchpredical factor
|
YabarVisitsQueryMatchPrediction
web_production: 917
Yabarvisits Factor in the annotation index, QueryMatchpredical factor
|
YabarVisitsAnnotationMatchPrediction
web_production: 918
Yabarvisits Factor in the annotation index, AnnotationMatchprediction factor
|
YabarTimeQueryMatchPrediction
web_production: 919
Yabartime factor in the annotation index, QueryMatchpredical factor
|
YabarTimeAnnotationMatchPrediction
web_production: 920
Yabartime Factor in the annotation index, AnnotationMatchpredical factor
|
SimpleClickQueryMatchPrediction
web_production: 921
SimpleClick factor in the annotation index, QueryMatchpredical factor
|
SimpleClickAnnotationMatchPrediction
web_production: 922
SimpleClick factor in the annotation index, AnnotationMatchprediction factor
|
LongClickBocmPlain
web_production: 923
LongClick factor in the annotation index, BOCMPLain factor
|
RandomLogDBM35XfactorFullMatchPrediction
web_production: 924
The result of collaborative filtration for the FI_DBM35 factor from Random Log in the annotation index, Fullmatchpredical factor
|
RandomLogDBM35XfactorAnnotationMatchPrediction
web_production: 925
The result of collaborative filtration for the FI_DBM35 factor from Random LOG in the annotation index, AnnotationMatchpredical factor
|
OneClickSynonymMatchPrediction
web_production: 926
OneClick Factor in the annotation index, SynonyMatchpredical factor
|
OneClickFullMatchPrediction
web_production: 927
OneClick factor in the annotation index, Fullmatchpredical factor
|
OneClickValueWcmAvg
web_production: 928
OneClick factor in the annotation index, factor Valuewcmavg
|
OneClickBocmWeightedMaxK1
web_production: 929
OneClick Factor in the annotation index, Bocmweightedmaxk1 factor
|
OneClickBm15StrictK2
web_production: 930
OneClick factor in the annotation index, factor BM15StRictk2
|
OneClickBm15MaxK3
web_production: 931
OneClick factor in the annotation index, factor BM15MAXK3
|
OneClickBclmPlainW1K3
web_production: 932
OneClick factor in the annotation index, factor BCLMPLainW1k3
|
OneClickValueWcmMax
web_production: 933
OneClick factor in the annotation index, factor Valuewcmmax
|
OneClickValueWcmPrediction
web_production: 934
OneClick factor in the annotation index, factor ValuewcMPREDION
|
OneClickBclmWeightedK3
web_production: 935
OneClick factor in the annotation index, factor BCLMWEIGHTEDK3
|
BQPRBocmWeightedW1K3
web_production: 936
BQPR Factor in the annotation index, Bocmweightedw1k3 factor
|
BQPRBm15StrictK2
web_production: 937
BQPR factor in the annotation index, factor BM15StRictk2
|
SplitDwellTimeBocmWeightedMaxK1
web_production: 938
SPLITDWELLTIME Factor in the annotation index, factor Bocmweightedmaxk1
|
SplitDwellTimeFullMatchPrediction
web_production: 939
SPLITDWELLTIME Factor in the annotation index, Fullmatchpredical factor
|
SplitDwellTimeValueWcmAvg
web_production: 940
SPLITDWELLTIME Factor in the annotation index, factor Valuewcmavg
|
CorrectedCtrBm15StrictK2
web_production: 941
Correctedctrreg factor in the annotation index, factor BM15StricTK2
|
FractionOfQueriesWithGeoPredicted
web_production: 942
Prediction of a share of requests with geography on a bag of words built for request
|
IsExactUrl
web_production: 943
The request is a Urle with an accuracy of the points and testing characters - the ISURL sorcerer's rule is used
|
RandomLogDBM35XfactorValueWcmMax
web_production: 944
The result of collaborative filtration for the FI_DBM35 factor from Random LOG in the annotation index, the factor Valuewcmmmax
|
RandomLogDBM35XfactorValueWcmAvg
web_production: 945
The result of collaborative filtration for the FI_DBM35 factor from Random Log in the annotation index, factor Valuewcmavg
|
RandomLogDBM35XfactorBm15StrictK2
web_production: 946
The result of collaborative filtration for the FI_DBM35 factor from Random LOG in the annotation index, factor BM15StricTK2
|
RandomLogDBM35XfactorBclmPlainW1K3
web_production: 947
The result of collaborative filtration for the FI_DBM35 factor from Random log in the annotation index, the BCLMPLainW1K3 factor
|
RandomLogDBM35XfactorBclmWeightedK3
web_production: 948
The result of collaborative filtration for the FI_DBM35 factor from Random LOG in the annotation index, the BCLMWEIGHTEDK3 factor
|
RandomLogDBM35XfactorBocmWeightedW1K3
web_production: 949
The result of collaborative filtration for the FI_DBM35 factor from Random log in the annotation index, the Bocmweightedw1k3 factor
|
CorrectedCtrXfactorAnnotationMatchPrediction
web_production: 950
CorrectedctrxFactor in the annotation index, AnnotationMatchprediction factor
|
CorrectedCtrXfactorQueryMatchPrediction
web_production: 951
CorrectedctrxFactor in the annotation index, QueryMatchpredical factor
|
CorrectedCtrXfactorValueWcmMax
web_production: 952
CorrectedctrxFactor in the annotation index, factor Valuewcmmax
|
CorrectedCtrXfactorValueWcmAvg
web_production: 953
CorrectedctrxFactor in the annotation index, factor Valuewcmavg
|
CorrectedCtrXfactorBocmWeightedW1K3
web_production: 954
CorrectedctrxFactor in the annotation index, Bocmweightedw1k3 factor
|
CorrectedCtrXfactorBclmPlainK3
web_production: 955
CorrectedctrxFactor in the annotation index, BCLMPLALINK3 factor
|
CorrectedCtrXfactorBclmMixPlainW1K1
web_production: 956
CorrectedctrxFactor in the annotation index, factor BCLMIXPLainW1K1
|
AliceTimespentSuffixSum
web_production: 957
The prediction of the total time spent to the end of the session, provided that this pair is implemented by the request-document
|
AliceTimespent
web_production: 958
The prediction of the contribution of this pair request-document to the timetable
|
SamplePeriodDayFrcValueWcmAvg
web_production: 959
SampleperiodDayFRC Factor in the annotation index, factor Valuewcmavg
|
SamplePeriodDayFrcBm15MaxK3
web_production: 960
SampleperiodDayFRC Factor in the annotation index, factor BM15MAXK3
|
SamplePeriodDayFrcBocmWeightedK3
web_production: 961
SampleperiodDayFRC Factor in the annotation index, Bocmweightedk3 factor
|
SamplePeriodDayFrcBocmDoubleK5
web_production: 962
SampleperiodDayFRC Factor in the annotation index, BocmDoublek5 factor
|
SplitDwellTimeBm15MaxK3
web_production: 963
SPLITDWELLTIME Factor in the annotation index, factor BM15MAXK3
|
SimpleClickBclmWeightedK3
web_production: 964
SimpleClick factor in the annotation index, BCLMWEIGHTEDK3 factor
|
AliceMaxPercentPlayed
web_production: 965
The prediction of the percentage of the length of the track, which will be lost subject to the implementation of this pair of the request
|
PopularSEFRCBrowserAnnotationMatchPrediction
web_production: 967
PopularseFrcbrowser Factor in the annotation index, AnnotationMatchprediction factor
|
PopularSEFRCBrowserSynonymMatchPrediction
web_production: 968
PopularseFrcbrowser Factor in the annotation index, SynonyMatchprediction factor
|
PopularSEFRCBrowserValueWcmPrediction
web_production: 969
PopularseFrcbrowSER Factor in the annotation index, factor ValuewcMPrediction
|
PopularSEFRCBrowserBclmWeightedV2K3
web_production: 970
PopularseFrcbrowSER Factor in the annotation index, factor BCLMWEIGHTEDV2K3
|
PopularSEFRCBrowserBclmMixPlainW1K1
web_production: 971
PopularseFrcbrowSER Factor in the annotation index, factor BCLMIXPLainW1K1
|
XLRAnnotationMatchPrediction
web_production: 972
It is considered to be a linkend index. Max (SUM (IDF)) for all links that are the subset of Query / Sum (IDF) for Query
|
OneClickAnnotationMatchPredictionWeighted
web_production: 973
OneClick Factor in the annotation index, AnnotationMatchpredictionWeighted factor
|
LongClickAnnotationMatchPredictionWeighted
web_production: 974
LongClick Factor in the annotation index, AnnotationMatchpredictionWeighted factor
|
YabarTimeAnnotationMatchPredictionWeighted
web_production: 975
Yabartime Factor in Annotacionnom Indexes, Factor AnnotationMatchpredictionWeighted
|
LongClickSPAnnotationMatchPrediction
web_production: 977
LongClicksAMPLEPEROD Factor in the annotation index, AnnotationMatchprediction factor
|
LongClickSPQueryMatchPrediction
web_production: 978
LongClicksAMPLEPEROD Factor in the annotation index, QueryMatchpredical factor
|
LongClickSPValueWcmAvg
web_production: 979
LongClicksAMPLEPEROD Factor in the annotation index, factor Valuewcmavg
|
LongClickSPValueWcmPrediction
web_production: 980
LongClicksampleperiod Factor in the annotation index, factor ValuewcMPREDION
|
LongClickSPBclmPlainW1K3
web_production: 981
LongClicksAMPLEPEROD Factor in the annotation index, factor BCLMPLainW1K3
|
LongClickSPBclmWeightedK3
web_production: 982
LongClicksampleperiod Factor in the annotation index, BCLMWEIGHTEDK3 factor
|
LongClickSPBocmWeightedW1K3
web_production: 983
LongClicksAMPLEPEROD Factor in the annotation index, factor Bocmweightedw1k3
|
LongClickSPBclmPlainK5
web_production: 984
LongClicksAMPLEPEROD Factor in the annotation index, BCLMPLAINK5 factor
|
LongClickSPBclmWeightedV2K3
web_production: 985
LongClicksAMPLEPEROD Factor in the annotation index, factor BCLMWEIGHTEDV2K3
|
LongClickSPBocmDoubleK5
web_production: 986
LongClicksampleperiod Factor in the annotation index, BocmDoublek5 factor
|
LongClickSPBm15StrictK2
web_production: 987
LongClicksAMPLEPEROD Factor in the annotation index, factor BM15StRictk2
|
URLClicksMaxGeoRegionFRCRatio
web_production: 988
Normalized corrected clicks maximum ratio by query with user's city(gc=) mentioned equal by region
|
URLClicksMaxGeoRegionOnlyFRCRatio
web_production: 989
Normalized corrected clicks maximum ratio by query with user's city(gc=) mentioned equal to user's region
|
BQPRSampleWcmCoverageMax
web_production: 990
BQPR in a minimumatic period. Annotation index. WCMCOVERAGEMAX factor
|
BQPRSampleFullMatchPrediction
web_production: 991
BQPR in a minimumatic period. Annotation index. Fullmatchprediction factor
|
BQPRSampleAnnotationMatchPredictionWeighted
web_production: 992
BQPR in a minimumatic period. Annotation index. Factor AnnotationMatchpredicalWeighted
|
BQPRSampleValuePcmAvg
web_production: 993
BQPR in a minimumatic period. Annotation index. Valuepcamavg factor
|
BQPRSampleValueWcmAvg
web_production: 994
BQPR in a minimumatic period. Annotation index. Valuewcmavg factor
|
BQPRSampleBm15V4K8
web_production: 995
BQPR in a minimumatic period. Annotation index. BM15V4K8 factor
|
BQPRSampleBocmWeightedV4K8
web_production: 996
BQPR in a minimumatic period. Annotation index. BocmweightedV4K8 factor
|
BQPRSampleWcmMax
web_production: 997
BQPR in a minimumatic period. Annotation index. Samplewcmmax factor
|
BQPRSampleSynonymMatchPrediction
web_production: 998
BQPR in a minimumatic period. Annotation index. SynonyMatchprediction factor
|
BQPRSampleAnnotationMatchPrediction
web_production: 999
BQPR in a minimumatic period. Annotation index. Factor AnnotationMatchpredical
|
BQPRSampleSuffixMatchCount
web_production: 1000
BQPR in a minimumatic period. Annotation index. SuffixMatchCount factor
|
BQPRSampleWcmCoveragePrediction
web_production: 1001
BQPR in a minimumatic period. Annotation index. WCMCOVERAGEPREDION factor
|
DoubleFrcFullMatchPrediction
web_production: 1002
DoubleFRC in the annotation index, Fullmatchpredical factor
|
DoubleFrcSynonymMatchPrediction
web_production: 1003
DoubleFRC in the annotation index, SynonyMatchpredical factor
|
DoubleFrcAnnotationMatchPrediction
web_production: 1004
DoubleFRC in the annotation index, AnnotationMatchpredical factor
|
DoubleFrcAnnotationMatchPredictionWeighted
web_production: 1005
DoubleFRC in the annotation index, AnnotationMatchpredicalWeighted factor
|
DoubleFrcQueryMatchPrediction
web_production: 1006
DoubleFRC in the annotation index, QueryMatchpredical factor
|
DoubleFrcValueWcmAvg
web_production: 1007
DoubleFRC in the annotation index, factor Valuewcmavg
|
DoubleFrcBocmWeightedMaxK1
web_production: 1008
DoubleFRC in the annotation index, factor Bocmweightedmaxk1
|
DoubleFrcBm15V4K5
web_production: 1009
DoubleFRC in the annotation index, factor BM15V4K5
|
DoubleFrcBocmWeightedV4K5
web_production: 1010
DoubleFRC in the annotation index, BocmweightedV4K5 factor
|
DoubleFrcBocmDoubleK1
web_production: 1011
DoubleFRC in the annotation index, BocmDoublek1 factor
|
XfDtShowAllMinW
web_production: 1024
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: The minimum expansion weight.
|
XfDtShowAllMaxFFieldSet2Bm15FLogK0001
web_production: 1025
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: BM15 in the group of streams 2. The maximum value of the factor for extensions.
|
XfDtShowAllMaxFFieldSet3BclmWeightedFLogW0K0001
web_production: 1026
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: BCLMWEIGHTEDFLOGW0 in the Stream group 3. The maximum value of the expansion factor.
|
XfDtShowAllMaxFFieldSetUTBm15FLogW0
web_production: 1027
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: BM15FLOGW0 for Urlu and Title. The maximum value of the expansion factor.
|
XfDtShowAllMaxFTextCosineMatchMaxPrediction
web_production: 1028
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: CosinemaxMatchprediction in text and Title. The maximum value of the expansion factor.
|
XfDtShowAllMaxFUrlBm15K01
web_production: 1029
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: BM15 on Ural. The maximum value of the expansion factor.
|
XfDtShowAllMaxWFLongClickSPFullMatchValue
web_production: 1030
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: Fullmatchvalue by stream LongClicksp. The maximum balanced value of the expansion factor.
|
XfDtShowAllMaxWFOneClickFullMatchValue
web_production: 1031
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: Fullmatchvalue according to Stream OneClick. The maximum balanced value of the expansion factor.
|
XfDtShowAllSumW2FSumWFieldSet1Bm15FLogK0001
web_production: 1032
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: BM15FLOG by the Stream group 1. The average balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) for extensions.
|
XfDtShowAllSumW2FSumWFieldSetUTBm15FLogW0
web_production: 1033
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: BM15FLOGW0 for Urlu and Title. The average balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) for extensions.
|
XfDtShowAllSumWFSumWBodyMinWindowSize
web_production: 1034
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: Minwindowsize in text. The average balanced values of the expansion factor.
|
XfDtShowBagOfWordsFieldSetBagOfWordsOriginalRequestFractionExact
web_production: 1035
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: ORIGINALREQUARY ORIGINALREKETRACTRENEXACT for a group of streams for bag factors (text, Title, annotation streams).
|
XfDtShowBagOfWordsLongClickSPCosineMatchMaxPrediction
web_production: 1036
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: CosinemaxMatchpredical bag for stream LongClicksp.
|
XfDtShowBagOfWordsLongClickSPCosineMatchWeightedValue
web_production: 1037
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: CosinematchWeightedValue bag by stream LongClicksp.
|
XfDtShowBagOfWordsSimpleClickAnnotationMatchAvgValue
web_production: 1038
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: SIMPLECLIC SIMPLECLICS bag.
|
XfDtShowBagOfWordsTitleCosineMaxMatch
web_production: 1039
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: CosinemaxMattcg bag.
|
XfDtShowTopMinWFFieldSet3BclmWeightedFLogW0K0001
web_production: 1040
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: BCLMWEIGHTEDFLOGW0 in the Stream group 3. The minimum balanced value of the factor for the expansion top.
|
XfDtShowTopMinWFLongClickSPAnnotationMatchWeightedValue
web_production: 1041
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: AnnotationMatchWeightedValue by stream LongClicksp. The minimum balanced value of the factor on the expansion top.
|
XfDtShowTopMinWFMaxWLongClickSPAnnotationMatchWeightedValue
web_production: 1042
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: AnnotationMatchWeightedValue by stream LongClicksp. The minimum balanced value of the factor for the expansion top extensions normalized for maximum weight by the Top Extensions.
|
XfDtShowTopSumW2FSumWBodyChain0Wcm
web_production: 1043
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: Chain0wcm in text. The average balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) according to the expansion top.
|
XfDtShowTopSumW2FSumWLongClickSPFullMatchValue
web_production: 1044
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: Fullmatchvalue by stream LongClicksp. The average balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) according to the expansion top.
|
XfDtShowTopSumW2FSumWOneClickFullMatchValue
web_production: 1045
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: Fullmatchvalue according to Stream OneClick. The average balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) according to the expansion top.
|
XfDtShowTopSumWFSumWFieldSet3BclmWeightedFLogW0K0001
web_production: 1046
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: BCLMWEIGHTEDFLOGW0 in the Stream group 3. The average balanced values of the factor for the expansion top.
|
OneClickFrcXfSpFullMatchPrediction
web_production: 1047
OneClickFRC, calculated by the sampled period and collaboratively expanded, Fullmatchpredical factor
|
OneClickFrcXfSpAnnotationMatchPredictionWeighted
web_production: 1048
OneClickFRC, calculated by the sampled period and collaboratively expanded, AnnotationMatchpredictionWeighted factor
|
OneClickFrcXfSpValueWcmAvg
web_production: 1049
OneClickFRC, calculated by the sampled period and collaboratively expanded, Valuewcmavg factor
|
OneClickFrcXfSpWcmMax
web_production: 1050
OneClickFRC, calculated by the sampled period and collaboratively expanded, WCMMAX factor
|
OneClickFrcXfSpWcmCoveragePrediction
web_production: 1051
OneClickFRC, calculated by the sampled period and collaboratively expanded, WCMCOVERAGEPREDION factor
|
OneClickFrcXfSpWcmCoverageMax
web_production: 1052
OneClickFRC, calculated by the sampled period and collaboratively expanded, WCMCOVERAGEMAX factor
|
OneClickFrcXfSpPcmMax
web_production: 1053
OneClickFRC, calculated by the sampled period and collaboratively expanded, PCMMAX factor
|
OneClickFrcXfSpPrefixMatchCount
web_production: 1054
OneClickFRC, calculated by the sampled period and collaboratively expanded, PrefixmatchCount factor
|
OneClickFrcXfSpSuffixMatchCount
web_production: 1055
OneClickFRC, calculated by the sampled period and collaboratively expanded, SuffixMatchcount factor
|
OneClickFrcXfSpBm15V0W1K1
web_production: 1056
OneClickFRC, calculated by the sampled period and collaboratively expanded, factor BM15V0W1K1
|
IsLocalProbability
web_production: 1057
The value of the classifier of localization for request
|
IsRelevLocaleRU
web_production: 1058
Relev_locale == ru
|
IsRelevLocaleUA
web_production: 1059
Relev_locale == ua
|
IsRelevLocaleBY
web_production: 1060
relev_locale == by
|
IsRelevLocaleKZ
web_production: 1061
relev_locale == kz
|
IsRelevLocaleTR
web_production: 1062
relev_locale == tr
|
IsRelevLocaleWORLD
web_production: 1063
relev_locale == world
|
QClassPornoVw
web_production: 1064
Porn query classification result from Wizard (iad_vw flag, based on Vowpal Wabbit)
|
FullUrlFraction
web_production: 1065
URL coating with trigrams from the request. Analogue of Urldomainfraction, Urlpathandparamsfraction factors.
|
QueryDwellTimeFullMatchPrediction
web_production: 1066
Querydwelltime, фактор full -match prediction
|
QueryDwellTimeSynonymMatchPrediction
web_production: 1067
QueryDwellTime, фактор SynonymMatchPrediction
|
QueryDwellTimeAnnotationMatchPrediction
web_production: 1068
QueryDwellTime, фактор AnnotationMatchPrediction
|
QueryDwellTimeAnnotationMatchPredictionWeighted
web_production: 1069
QueryDwellTime, фактор AnnotationMatchPredictionWeighted
|
QueryDwellTimeQueryMatchPrediction
web_production: 1070
QueryDwellTime, фактор QueryMatchPrediction
|
QueryDwellTimeValueWcmAvg
web_production: 1071
Querydwelltime, Valuewcmavg factor
|
QueryDwellTimeBclmPlainW1K3
web_production: 1072
Querydwelltime, BCLMPLainW1k3 factor
|
QueryDwellTimeBm15CoverageV4K3
web_production: 1073
Querydwelltime, BM15CoveRAGEV4K3 factor
|
QueryDwellTimeBclmPlainK4
web_production: 1074
Querydwelltime, BCLMPLAINK4 factor
|
QueryDwellTimeBocmWeightedV4K5
web_production: 1075
QuerydwellTime, factor Bocmweightedv4k5
|
UrlBm15K01
web_production: 1091
Bm15K01 factor over hits from Url
|
TitleBm15K01
web_production: 1092
Bm15K01 factor over hits from Title
|
TitleBocm15K001
web_production: 1093
Bocm15K001 factor over hits from Title
|
TextBm11Norm16384
web_production: 1094
Bm11Norm16384 factor over hits from Text
|
TextBocm11Norm256
web_production: 1095
Bocm11Norm256 factor over hits from Text
|
TextCosineMatchMaxPrediction
web_production: 1096
CosineMatchMaxPrediction factor over hits from Text
|
FieldSet1Bm15FLogK0001
web_production: 1097
Bm15FLogK0001 factor over hits from FieldSet1 stream
|
FieldSet2Bm15FLogK0001
web_production: 1098
Bm15FLogK0001 factor over hits from FieldSet2 stream
|
FieldSet3BclmWeightedFLogW0K0001
web_production: 1099
BclmWeightedFLogW0K0001 factor over hits from FieldSet3 stream
|
FieldSetUTBm15FLogW0K00001
web_production: 1100
Bm15FLogW0K00001 factor over hits from FieldSetUT stream
|
BodyChain0Wcm
web_production: 1101
Chain0Wcm factor over hits from Body
|
BodyPairMinProximity
web_production: 1102
PairMinProximity factor over hits from Body
|
BodyMinWindowSize
web_production: 1103
MinWindowSize factor over hits from Body
|
PopularSeFrcBrowserCosineMatchMaxPrediction
web_production: 1104
CosineMatchMaxPrediction factor over hits from PopularSeFrcBrowser stream
|
DoubleFrcMixMatchWeightedValue
web_production: 1105
MixMatchWeightedValue factor over hits from DoubleFrc stream
|
DoubleFrcAnnotationMaxValueWeighted
web_production: 1106
AnnotationMaxValueWeighted factor over hits from DoubleFrc stream
|
DoubleFrcAnnotationMaxValue
web_production: 1107
AnnotationMaxValue factor over hits from DoubleFrc stream
|
DoubleFrcAnnotationMatchWeightedValue
web_production: 1108
AnnotationMatchWeightedValue factor over hits from DoubleFrc stream
|
DoubleFrcAllWcmWeightedValue
web_production: 1109
AllWcmWeightedValue factor over hits from DoubleFrc stream
|
DoubleFrcAllWcmMatch95AvgValue
web_production: 1110
AllWcmMatch95AvgValue factor over hits from DoubleFrc stream
|
DoubleFrcAllWcmWeightedPrediction
web_production: 1111
AllWcmWeightedPrediction factor over hits from DoubleFrc stream
|
DoubleFrcAllWcmMatch80AvgValue
web_production: 1112
AllWcmMatch80AvgValue factor over hits from DoubleFrc stream
|
DoubleFrcFullMatchValue
web_production: 1113
FullMatchValue factor over hits from DoubleFrc stream
|
DoubleFrcFullMatchAnyValue
web_production: 1114
FullMatchAnyValue factor over hits from DoubleFrc stream
|
DoubleFrcExactQueryMatchAvgValue
web_production: 1115
ExactQueryMatchAvgValue factor over hits from DoubleFrc stream
|
OneClickFrcXfSpBclmMixPlainKE5
web_production: 1116
BclmMixPlainKE5 factor over hits from OneClickFrcXfSp stream
|
OneClickFrcXfSpBm15StrictAnnotationK01
web_production: 1117
Bm15StrictAnnotationK01 factor over hits from OneClickFrcXfSp stream
|
OneClickFrcXfSpAllWcmWeightedValue
web_production: 1118
AllWcmWeightedValue factor over hits from OneClickFrcXfSp stream
|
OneClickFrcXfSpAllWcmWeightedPrediction
web_production: 1119
AllWcmWeightedPrediction factor over hits from OneClickFrcXfSp stream
|
OneClickFrcXfSpAllWcmMatch80AvgValue
web_production: 1120
AllWcmMatch80AvgValue factor over hits from OneClickFrcXfSp stream
|
OneClickFrcXfSpMixMatchWeightedValue
web_production: 1121
MixMatchWeightedValue factor over hits from OneClickFrcXfSp stream
|
OneClickFrcXfSpAnnotationMatchWeightedValue
web_production: 1122
AnnotationMatchWeightedValue factor over hits from OneClickFrcXfSp stream
|
OneClickFrcXfSpBclmPlaneProximity1Bm15W0Size1K0001
web_production: 1123
BclmPlaneProximity1Bm15W0Size1K0001 factor over hits from OneClickFrcXfSp stream
|
OneClickFrcXfSpBclmWeightedProximity1Bm15Size1K001
web_production: 1124
BclmWeightedProximity1Bm15Size1K001 factor over hits from OneClickFrcXfSp stream
|
BQPRSampleBclmMixPlainKE5
web_production: 1125
BclmMixPlainKE5 factor over hits from BQPRSample stream
|
BQPRSampleAllWcmWeightedValue
web_production: 1126
AllWcmWeightedValue factor over hits from BQPRSample stream
|
BQPRSampleAllWcmWeightedPrediction
web_production: 1127
AllWcmWeightedPrediction factor over hits from BQPRSample stream
|
BQPRSampleAllWcmMaxPrediction
web_production: 1128
AllWcmMaxPrediction factor over hits from BQPRSample stream
|
BQPRSampleAllWcmMatch80AvgValue
web_production: 1129
AllWcmMatch80AvgValue factor over hits from BQPRSample stream
|
BQPRSampleMixMatchWeightedValue
web_production: 1130
MixMatchWeightedValue factor over hits from BQPRSample stream
|
BQPRSampleCosineMatchMaxPrediction
web_production: 1131
CosineMatchMaxPrediction factor over hits from BQPRSample stream
|
BQPRSampleAnnotationMaxValueWeighted
web_production: 1132
AnnotationMaxValueWeighted factor over hits from BQPRSample stream
|
BQPRSampleAnnotationMaxValue
web_production: 1133
AnnotationMaxValue factor over hits from BQPRSample stream
|
BQPRSampleAnnotationMatchWeightedValue
web_production: 1134
AnnotationMatchWeightedValue factor over hits from BQPRSample stream
|
BQPRSampleBocm15K001
web_production: 1135
Bocm15K001 factor over hits from BQPRSample stream
|
BQPRSampleBclmPlaneProximity1Bm15W0Size1K0001
web_production: 1136
BclmPlaneProximity1Bm15W0Size1K0001 factor over hits from BQPRSample stream
|
BQPRSampleBclmWeightedProximity1Bm15Size1K001
web_production: 1137
BclmWeightedProximity1Bm15Size1K001 factor over hits from BQPRSample stream
|
LongClickSPBclmPlaneProximity1Bm15W0Size1K0001
web_production: 1138
BclmPlaneProximity1Bm15W0Size1K0001 factor over hits from LongClickSP stream
|
LongClickSPBm15MaxAnnotationK001
web_production: 1139
Bm15MaxAnnotationK001 factor over hits from LongClickSP stream
|
LongClickSPFullMatchValue
web_production: 1140
FullMatchValue factor over hits from LongClickSP stream
|
LongClickSPMixMatchWeightedValue
web_production: 1141
MixMatchWeightedValue factor over hits from LongClickSP stream
|
LongClickSPCosineMatchMaxPrediction
web_production: 1142
CosineMatchMaxPrediction factor over hits from LongClickSP stream
|
LongClickSPAnnotationMaxValue
web_production: 1143
AnnotationMaxValue factor over hits from LongClickSP stream
|
LongClickSPAnnotationMaxValueWeighted
web_production: 1144
AnnotationMaxValueWeighted factor over hits from LongClickSP stream
|
LongClickSPAnnotationMatchWeightedValue
web_production: 1145
AnnotationMatchWeightedValue factor over hits from LongClickSP stream
|
LongClickSPAllWcmMatch95AvgValue
web_production: 1146
AllWcmMatch95AvgValue factor over hits from LongClickSP stream
|
LongClickSPAllWcmWeightedValue
web_production: 1147
AllWcmWeightedValue factor over hits from LongClickSP stream
|
LongClickSPAllWcmMaxMatch
web_production: 1148
AllWcmMaxMatch factor over hits from LongClickSP stream
|
LongClickSPAllWcmWeightedPrediction
web_production: 1149
AllWcmWeightedPrediction factor over hits from LongClickSP stream
|
LongClickSPBocm15K001
web_production: 1150
Bocm15K001 factor over hits from LongClickSP stream
|
LongClickSPQueryPrefixMatchOriginalWordValue
web_production: 1151
QueryPrefixMatchOriginalWordValue factor over hits from LongClickSP stream
|
SamplePeriodDayFrcBclmPlaneProximity1Bm15W0Size1K0001
web_production: 1152
BclmPlaneProximity1Bm15W0Size1K0001 factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcAttenV1Bm15K05
web_production: 1153
AttenV1Bm15K05 factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcFullMatchValue
web_production: 1154
FullMatchValue factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcFullMatchAnyValue
web_production: 1155
FullMatchAnyValue factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcAllWcmWeightedValue
web_production: 1156
AllWcmWeightedValue factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcAllWcmWeightedPrediction
web_production: 1157
AllWcmWeightedPrediction factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcAllWcmMatch95AvgValue
web_production: 1158
AllWcmMatch95AvgValue factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcAllWcmMatch80AvgValue
web_production: 1159
AllWcmMatch80AvgValue factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcMixMatchWeightedValue
web_production: 1160
MixMatchWeightedValue factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcAnnotationMatchWeightedValue
web_production: 1161
AnnotationMatchWeightedValue factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcAnnotationMaxValue
web_production: 1162
AnnotationMaxValue factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcAnnotationMaxValueWeighted
web_production: 1163
AnnotationMaxValueWeighted factor over hits from SamplePeriodDayFrc stream
|
SamplePeriodDayFrcBocm15K001
web_production: 1164
Bocm15K001 factor over hits from SamplePeriodDayFrc stream
|
CorrectedCtrXFactorAllWcmWeightedValue
web_production: 1165
AllWcmWeightedValue factor over hits from CorrectedCtrXFactor stream
|
CorrectedCtrXFactorAllWcmMaxPrediction
web_production: 1166
AllWcmMaxPrediction factor over hits from CorrectedCtrXFactor stream
|
CorrectedCtrXFactorAllWcmWeightedPrediction
web_production: 1167
AllWcmWeightedPrediction factor over hits from CorrectedCtrXFactor stream
|
CorrectedCtrXFactorAllWcmMatch80AvgValue
web_production: 1168
AllWcmMatch80AvgValue factor over hits from CorrectedCtrXFactor stream
|
CorrectedCtrXFactorMixMatchWeightedValue
web_production: 1169
MixMatchWeightedValue factor over hits from CorrectedCtrXFactor stream
|
CorrectedCtrXFactorAnnotationMatchWeightedValue
web_production: 1170
AnnotationMatchWeightedValue factor over hits from CorrectedCtrXFactor stream
|
CorrectedCtrXFactorBclmPlaneProximity1Bm15W0Size1K001
web_production: 1171
BclmPlaneProximity1Bm15W0Size1K001 factor over hits from CorrectedCtrXFactor stream
|
CorrectedCtrXFactorBclmWeightedProximity1Bm15Size1K001
web_production: 1172
BclmWeightedProximity1Bm15Size1K001 factor over hits from CorrectedCtrXFactor stream
|
LongClickAllWcmMaxPrediction
web_production: 1173
AllWcmMaxPrediction factor over hits from LongClick stream
|
LongClickMixMatchWeightedValue
web_production: 1174
MixMatchWeightedValue factor over hits from LongClick stream
|
LongClickAnnotationMaxValueWeighted
web_production: 1175
AnnotationMaxValueWeighted factor over hits from LongClick stream
|
LongClickFullMatchValue
web_production: 1176
FullMatchValue factor over hits from LongClick stream
|
LongClickAnnotationMatchWeightedValue
web_production: 1177
AnnotationMatchWeightedValue factor over hits from LongClick stream
|
SimpleClickAllWcmWeightedValue
web_production: 1178
AllWcmWeightedValue factor over hits from SimpleClick stream
|
SimpleClickAllWcmWeightedPrediction
web_production: 1179
AllWcmWeightedPrediction factor over hits from SimpleClick stream
|
SimpleClickAllWcmMaxPrediction
web_production: 1180
AllWcmMaxPrediction factor over hits from SimpleClick stream
|
SimpleClickMixMatchWeightedValue
web_production: 1181
MixMatchWeightedValue factor over hits from SimpleClick stream
|
SimpleClickAnnotationMatchWeightedValue
web_production: 1182
AnnotationMatchWeightedValue factor over hits from SimpleClick stream
|
BrowserPageRankAnnotationMaxValueWeighted
web_production: 1183
AnnotationMaxValueWeighted factor over hits from BrowserPageRank stream
|
BrowserPageRankAnnotationMatchWeightedValue
web_production: 1184
AnnotationMatchWeightedValue factor over hits from BrowserPageRank stream
|
BrowserPageRankAnnotationMaxValue
web_production: 1185
AnnotationMaxValue factor over hits from BrowserPageRank stream
|
BrowserPageRankBocm15K001
web_production: 1186
Bocm15K001 factor over hits from BrowserPageRank stream
|
OneClickMixMatchWeightedValue
web_production: 1187
MixMatchWeightedValue factor over hits from OneClick stream
|
OneClickFullMatchValue
web_production: 1188
FullMatchValue factor over hits from OneClick stream
|
OneClickAnnotationMatchWeightedValue
web_production: 1189
AnnotationMatchWeightedValue factor over hits from OneClick stream
|
SplitDwellTimeAllWcmWeightedPrediction
web_production: 1190
AllWcmWeightedPrediction factor over hits from SplitDwellTime stream
|
SplitDwellTimeBm15MaxAnnotationK001
web_production: 1191
Bm15MaxAnnotationK001 factor over hits from SplitDwellTime stream
|
QueryDwellTimeBclmWeightedProximity1Bm15Size1K0001
web_production: 1192
BclmWeightedProximity1Bm15Size1K0001 factor over hits from QueryDwellTime stream
|
QueryDwellTimeAttenV1Bm15K001
web_production: 1193
AttenV1Bm15K001 factor over hits from QueryDwellTime stream
|
QueryDwellTimeMixMatchWeightedValue
web_production: 1194
MixMatchWeightedValue factor over hits from QueryDwellTime stream
|
QueryDwellTimeAnnotationMaxValueWeighted
web_production: 1195
AnnotationMaxValueWeighted factor over hits from QueryDwellTime stream
|
QueryDwellTimeAnnotationMaxValue
web_production: 1196
AnnotationMaxValue factor over hits from QueryDwellTime stream
|
QueryDwellTimeAnnotationMatchWeightedValue
web_production: 1197
AnnotationMatchWeightedValue factor over hits from QueryDwellTime stream
|
QueryDwellTimeAllWcmWeightedValue
web_production: 1198
AllWcmWeightedValue factor over hits from QueryDwellTime stream
|
QueryDwellTimeAllWcmMatch80AvgValue
web_production: 1199
AllWcmMatch80AvgValue factor over hits from QueryDwellTime stream
|
RandomLogDBM35BclmPlaneProximity1Bm15W0Size1K0001
web_production: 1200
BclmPlaneProximity1Bm15W0Size1K0001 factor over hits from RandomLogDBM35 stream
|
RandomLogDBM35Bm15StrictAnnotationK001
web_production: 1201
Bm15StrictAnnotationK001 factor over hits from RandomLogDBM35 stream
|
RandomLogDBM35MixMatchWeightedValue
web_production: 1202
MixMatchWeightedValue factor over hits from RandomLogDBM35 stream
|
RandomLogDBM35AnnotationMaxValueWeighted
web_production: 1203
AnnotationMaxValueWeighted factor over hits from RandomLogDBM35 stream
|
RandomLogDBM35AnnotationMatchWeightedValue
web_production: 1204
AnnotationMatchWeightedValue factor over hits from RandomLogDBM35 stream
|
RandomLogDBM35AllWcmWeightedValue
web_production: 1205
AllWcmWeightedValue factor over hits from RandomLogDBM35 stream
|
RandomLogDBM35FullMatchValue
web_production: 1206
FullMatchValue factor over hits from RandomLogDBM35 stream
|
RandomLogDBM35ExactQueryMatchAvgValue
web_production: 1207
ExactQueryMatchAvgValue factor over hits from RandomLogDBM35 stream
|
IsRelevLocaleID
web_production: 1208
relev_locale == id
|
ForeignDomain
web_production: 1210
In those cases when fi_national_domain is 0, and Herf.NationalDomainid is filled 1
|
XfDtShowAllMaxWfQueryDwellTimeMixMatchWeightedValue
web_production: 1211
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: MixmatchweightedValue by Stream Querydwelltime. The maximum balanced value of the expansion factor.
|
XfDtShowTopSumWFSumWQueryDwellTimeMixMatchWeightedValue
web_production: 1212
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: MixmatchweightedValue by Stream Querydwelltime. The average balanced value of the expansion factor.
|
XfDtShowTopMinWFQueryDwellTimeMixMatchWeightedValue
web_production: 1213
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: MixmatchweightedValue by Stream Querydwelltime. The minimum balanced value of the factor on the expansion top.
|
XfDtShowTopMinWFQueryDwellTimeAnnotationMatchWeightedValue
web_production: 1214
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: AnnotationMatchWeightedValue by Stream Querydwelltime. The minimum balanced value of the factor on the expansion top.
|
XfDtShowAllMaxWFQueryDwellTimeAnnotationMatchWeightedValue
web_production: 1215
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: AnnotationMatchWeightedValue by Stream Querydwelltime. The maximum balanced value of the expansion factor.
|
XfDtShowTopSumWFSumWQueryDwellTimeAllWcmMatch95AvgValue
web_production: 1216
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: Allwcmmatch95Avgvalue Stream QueryDwellTime. The average balanced value of the factor on the expansion top.
|
XfDtShowAllMaxWFBQPRSampleMixMatchWeightedValue
web_production: 1217
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: MixMatchweightedValue for Stream BQPRSAMPLE. The maximum balanced value of the expansion factor.
|
XfDtShowAllMaxWFDoubleFrcMixMatchWeightedValue
web_production: 1218
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: MixMatchweightedValue in stream DoubleFrc. The maximum balanced value of the expansion factor.
|
DssmLongMiddleShortVsHardClicks
web_production: 1219
DSSM model trained on clicks.
|
DssmLongVsMiddleShortNoClicks
web_production: 1220
DSSM model trained on clicks.
|
DssmMiddleVsShortLongHardNoClicks
web_production: 1221
DSSM model trained on clicks.
|
DssmShortVsMiddleLongHardNoClicks
web_production: 1222
DSSM model trained on clicks.
|
DssmNOVsShortMiddleLongHardClicks
web_production: 1223
DSSM model trained on clicks.
|
DssmLongVsShortMiddleHardClicks
web_production: 1224
DSSM model trained on clicks.
|
DssmMiddleLongVsShortHardClicks
web_production: 1225
DSSM model trained on clicks.
|
DssmShortMiddleLongVsHardNoClicks
web_production: 1226
DSSM model trained on clicks.
|
IsDesktopRequest
web_production: 1228
request came from yandsearch (rearr.is_desktop == 1)
|
IsMobileRequest
web_production: 1229
request came from touchsearch (rearr.is_mobile == 1)
|
IsTabletRequest
web_production: 1230
request came from padsearch (rearr.is_tablet == 1)
|
RequestIsFromAndroid
web_production: 1231
request came from device with Android OS (rearr.dd_osfamily == Android)
|
RequestIsFromIOS
web_production: 1232
request came from device with iOS (rearr.dd_osfamily == iOS)
|
RequestIsFromWindows
web_production: 1233
request came from device with Windows OS (rearr.dd_osfamily == Windows)
|
RequestIsFromOtherPlatform
web_production: 1234
request does not come from devices with Android, iOS or Windows OS (rearr.dd_osfamily != [Android, iOS, Windows])
|
CorrectedCtrLongPeriodFullMatchValue
web_production: 1236
FullMatchValue factor over hits from CorrectedCtrLongPeriod stream
|
CorrectedCtrLongPeriodMixMatchWeightedValue
web_production: 1237
MixMatchWeightedValue factor over hits from CorrectedCtrLongPeriod stream
|
CorrectedCtrLongPeriodAnnotationMaxValueWeighted
web_production: 1238
AnnotationMaxValueWeighted factor over hits from CorrectedCtrLongPeriod stream
|
CorrectedCtrLongPeriodAnnotationMatchWeightedValue
web_production: 1239
AnnotationMatchWeightedValue factor over hits from CorrectedCtrLongPeriod stream
|
CorrectedCtrLongPeriodAllWcmMatch95AvgValue
web_production: 1240
AllWcmMatch95AvgValue factor over hits from CorrectedCtrLongPeriod stream
|
CorrectedCtrLongPeriodAllWcmMatch80AvgValue
web_production: 1241
AllWcmMatch80AvgValue factor over hits from CorrectedCtrLongPeriod stream
|
CorrectedCtrLongPeriodAllWcmWeightedValue
web_production: 1242
AllWcmWeightedValue factor over hits from CorrectedCtrLongPeriod stream
|
CorrectedCtrLongPeriodAllWcmWeightedPrediction
web_production: 1243
AllWcmWeightedPrediction factor over hits from CorrectedCtrLongPeriod stream
|
Medical2UrlQualityFresh
web_production: 1244
Neural model of content quality for medical subjects (for ex -)
|
NHopSumDwellTimeBclmMixPlainKE5
web_production: 1245
BclmMixPlainKE5 factor over hits from NHopSumDwellTime stream
|
NHopSumDwellTimeMatch80AvgValue
web_production: 1246
Match80AvgValue factor over hits from NHopSumDwellTime stream
|
NHopSumDwellTimeMixMatchWeightedValue
web_production: 1248
MixMatchWeightedValue factor over hits from NHopSumDwellTime stream
|
FinLawUrlQualityFresh
web_production: 1249
Neural model of content quality for financial and legal topics (for exposures)
|
FirstClickDtXfBclmMixPlainKE5
web_production: 1250
BclmMixPlainKE5 factor over hits from FirstClickDtXf stream
|
FirstClickDtXfFullMatchValue
web_production: 1251
FullMatchValue factor over hits from FirstClickDtXf stream
|
FirstClickDtXfAnnotationMaxValueWeighted
web_production: 1252
AnnotationMaxValueWeighted factor over hits from FirstClickDtXf stream
|
FirstClickDtXfAnnotationMatchWeightedValue
web_production: 1253
AnnotationMatchWeightedValue factor over hits from FirstClickDtXf stream
|
FirstClickDtXfBclmPlaneProximity1Bm15W0Size1K0001
web_production: 1254
BclmPlaneProximity1Bm15W0Size1K001 factor over hits from FirstClickDtXf stream
|
RequestWithRegionNameTextBm11Norm16384
web_production: 1255
Linguistic boosting factor. Type of extensions: Requestwithregionname. BM11 in the text and the Title of the Document
|
RequestWithRegionNameTextCosineMatchMaxPrediction
web_production: 1256
Linguistic boosting factor. Type of extensions: Requestwithregionname. Cosinematchmaxprediction on the text and dump title
|
RequestWithRegionNameLongClickAnnotationMatchWeightedValue
web_production: 1257
Linguistic boosting factor. Type of extensions: Requestwithregionname. Factor: AnnotationMatchWeightedValue by stream LongClick.
|
RequestWithRegionNameOneClickFullMatchValue
web_production: 1258
Linguistic boosting factor. Type of extensions: Requestwithregionname. Factor: Fullmatchvalue according to Stream OneClick.
|
RequestWithRegionNameOneClickAnnotationMatchValue
web_production: 1259
Linguistic boosting factor. Type of extensions: Requestwithregionname. Factor: AnnotationMatchvalue according to Stream OneClick.
|
RequestWithRegionNameLongClickSPAnnotationMatchWeightedValue
web_production: 1260
Linguistic boosting factor. Type of extensions: Requestwithregionname. Factor: AnnotationMatchWeightedValue by stream LongClicksp.
|
RequestWithRegionNameLongClickSPFullMatchValue
web_production: 1261
Linguistic boosting factor. Type of extensions: Requestwithregionname. Factor: Fullmatchvalue by stream LongClicksp.
|
RequestWithRegionNameBQPRSampleAnnotationMaxValueWeighted
web_production: 1262
Linguistic boosting factor. Type of extensions: Requestwithregionname. Factor: AnnotationMaxValueweded by Stream BQPRSAMPLE.
|
RequestWithRegionNameFieldSet1Bm15FLogK0001
web_production: 1263
Linguistic boosting factor. Type of extensions: Requestwithregionname. Factor: BM15 in the group of streams 1.
|
RequestWithRegionNameFieldSet2Bm15FLogK0001
web_production: 1264
Linguistic boosting factor. Type of extensions: Requestwithregionname. Factor: BM15 in the group of streams 2.
|
RequestWithRegionNameFieldSet3BclmWeightedFLogW0K0001
web_production: 1265
Linguistic boosting factor. Type of extensions: Requestwithregionname. Factor: BCLMWEIGHTEDFLOGW0 in the Stream group 3.
|
RequestWithRegionNameBodyChain0Wcm
web_production: 1266
Linguistic boosting factor. Type of extensions: Requestwithregionname. Chain0WCM factor on the text of the document
|
QueryDocRandom
web_production: 1267
Random float in [0,1] by user request and document
|
SosUrlQualityFresh
web_production: 1270
Neural model of content quality for SOS subjects (for ex -)
|
UrlHostFraction
web_production: 1271
Copy of Old Version No.294 Factor. Added for Use on L3 Stage Only. Coating domain three -bouqu and request. (Chelyabinsk lottery - Chelloto. We translate a request to translite, find the three -book that are covered (Che, Hel, Lot, Olo), we look at what share of all three -bouquets are covered)
|
UrlHitsCoverage
web_production: 1272
Fast version of FI_URL_DOMAIN_FRACTION
|
AliceTimespentSum
web_production: 1273
Prediction of the time of the session, provided that this pair is requested by the request-document
|
DssmSinsigL2
web_production: 1278
Request-document model Sinsiga.
|
OriginalRequestUrlCosineMatchMaxPrediction
web_production: 1279
The factor for the original request. It is considered to be toxicated by Ural. Algorithm Cosinematchmaxpredical.
|
OriginalRequestUrlAttenV1Bm15K05
web_production: 1280
The factor for the original request. It is considered to be toxicated by Ural. The weight of the hit is multiplied by 1/ (1 + the position of the word in the sentence) an algorithm for aggregation of the scales of words: BM15. Normalization coefficient 0.5.
|
OriginalRequestTitleBclmMixPlainKE5
web_production: 1281
The factor for the original request. It is considered according to the heading of the document. The algorithm for aggregation of words weights is BCLMMIXPLAIN: a linear mixture of annotation BCLM weights and balanced Positionless weights of the word, then the former meters are aggregated through BM15. Normalization coefficient 10^(-5).
|
OriginalRequestTitleCMMatchTop5AvgMatchValue
web_production: 1282
The factor for the original request. It is considered according to the heading of the document. CMMATCHTOP5AVGMATCHVALUE algorithm.
|
OriginalRequestTitleWordCoverageForm
web_production: 1283
The factor for the original request. It is considered according to the heading of the document. The degree of coating of the words of the request is accurate to the form (without synonyms).
|
OriginalRequestTitleAttenV1Bm15K05
web_production: 1284
The factor for the original request. It is considered according to the heading of the document. The weight of the hit is multiplied by 1/ (1 + the position of the word in the sentence) an algorithm for aggregation of the scales of words: BM15. Normalization coefficient 0.5.
|
OriginalRequestBodyBclmMixPlainKE5
web_production: 1285
The factor for the original request. It is considered according to the contents of the document. The algorithm for aggregation of words weights is BCLMMIXPLAIN: a linear mixture of annotation BCLM weights and balanced Positionless weights of the word, then the former meters are aggregated through BM15. Normalization coefficient 10^(-5).
|
OriginalRequestBodyCosineMatchMaxPrediction
web_production: 1286
The factor for the original request. It is considered according to the contents of the document. Algorithm Cosinematchmaxpredical.
|
OriginalRequestBodyAllWcmWeightedPrediction
web_production: 1287
The factor for the original request. It is considered according to the contents of the document. Algorithm Allwcmweightedpredical.
|
OriginalRequestBodyBocm15K001
web_production: 1288
The factor for the original request. It is considered according to the contents of the document. Algorithm for aggregation of the scales of words BOCM15. Normalization coefficient 0.01.
|
OriginalRequestBodyQueryPartMatchSumValueAny
web_production: 1289
The factor for the original request. It is considered according to the contents of the document. Algorithm: Querypartmatchsumvalueany.
|
OriginalRequestBodyWordCoverageForm
web_production: 1290
The factor for the original request. It is considered according to the contents of the document. The degree of coating of the words of the request is accurate to the form (without synonyms).
|
OriginalRequestBodyWordCoverageExact
web_production: 1291
The factor for the original request. It is considered according to the contents of the document. The degree of covering the words of the request in the exact form.
|
OriginalRequestBodyBm15MaxAnnotationK001
web_production: 1292
The factor for the original request. It is considered according to the contents of the document. Libra Agnregation algorithm: BM15Maxannotation normalization coefficient 0.01.
|
DssmFullSplitBert
web_production: 1294
|
MetaPolyGen8AllWcmMaxMatch
web_production: 1299
MetaPolyGen8
|
QueryDwellTimeCMMatch80AvgValue
web_production: 1300
CMMatch80AvgValue factor over hits from QueryDwellTime stream
|
DoubleFrcCMMatchTop5AvgMatch
web_production: 1301
CMMatchTop5AvgMatch factor over hits from DoubleFrc stream
|
OneClickFrcXfSpPerWordCMMaxMatchMin
web_production: 1302
PerWordCMMaxMatchMin factor over hits from OneClickFrcXfSp stream
|
FirstClickDtXfPerWordCMMaxMatchMin
web_production: 1303
PerWordCMMaxMatchMin factor over hits from FirstClickDtXf stream
|
XfDtShowAllMaxWFLongClickSPPerWordCMMaxMatchMin
web_production: 1304
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: PerwordcMaxMatchmin for LongClicksp Stream. The maximum balanced value of the expansion factor.
|
XfDtShowAllMaxWFOneClickPerWordCMMaxMatchMin
web_production: 1305
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: PerwordcMaxMatchmin according to Stream OneClick. The maximum balanced value of the expansion factor.
|
XfDtShowTopMinWFFirstClickDtXfPerWordCMMaxMatchMin
web_production: 1306
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: PerwordCmmaxMatchmin for stream FIRSTCLICKDTXF. The minimum balanced value of the factor on the expansion top.
|
DistanceToAnkara
web_production: 1309
The distance from the city from where the request was set to Ankara
|
DistanceToMagadan
web_production: 1310
The distance from the city from where the request was set to Magadan
|
Latitude
web_production: 1311
The geographical breadth of the city, from where a request was set
|
Longitude
web_production: 1312
Geographical longitude of the city, from where a request was set
|
LongClickMobileFullMatchValue
web_production: 1313
FullMatchValue factor over hits from LongClick stream (Mobile sessions filtered)
|
LongClickMobileCosineMatchMaxPrediction
web_production: 1314
CosineMatchMaxPrediction factor over hits from LongClick stream (Mobile sessions filtered)
|
LongClickMobileAnnotationMatchWeightedValue
web_production: 1315
AnnotationMatchWeightedValue factor over hits from LongClick stream (Mobile sessions filtered)
|
LongClickMobileAllWcmMatch95AvgValue
web_production: 1316
AllWcmMatch95AvgValue factor over hits from LongClick stream (Mobile sessions filtered)
|
LongClickMobileAllWcmWeightedValue
web_production: 1317
AllWcmWeightedValue factor over hits from LongClick stream (Mobile sessions filtered)
|
LongClickMobileAllWcmWeightedPrediction
web_production: 1318
AllWcmWeightedPrediction factor over hits from LongClick stream (Mobile sessions filtered)
|
LongClickMobileCMMatchTop5AvgValue
web_production: 1319
CMMatchTop5AvgValue factor over hits from LongClick stream (Mobile sessions filtered)
|
LongClickMobileBm15MaxAnnotationK001
web_production: 1320
Bm15MaxAnnotationK001 factor over hits from LongClick stream (Mobile sessions filtered)
|
XfDtShowAllMaxWFLinksAllPerWordCMMaxMatchMin
web_production: 1321
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: perwordcmmaxMatchmin for incoming links. The maximum balanced value of the expansion factor.
|
DssmLogDwellTimeBigrams
web_production: 1338
DSSM model trained on clicks. Takes bigrams into account.
|
FirstLastClickMobileMixMatchWeightedValue
web_production: 1339
MixMatchWeightedValue factor over hits from FirstLastClick stream (Mobile sessions filtered)
|
FirstLastClickMobileCosineMatchMaxPrediction
web_production: 1340
CosineMatchMaxPrediction factor over hits from FirstLastClick stream (Mobile sessions filtered)
|
FirstLastClickMobileFullMatchValue
web_production: 1341
FullMatchValue factor over hits from FirstLastClick stream (Mobile sessions filtered)
|
FirstLastClickMobileAllWcmMatch95AvgValue
web_production: 1342
AllWcmMatch95AvgValue factor over hits from FirstLastClick stream (Mobile sessions filtered)
|
FirstLastClickMobileCMMatchTop5AvgValue
web_production: 1343
CMMatchTop5AvgValue factor over hits from FirstLastClick stream (Mobile sessions filtered)
|
FirstLastClickMobileAllWcmWeightedValue
web_production: 1344
AllWcmWeightedValue factor over hits from FirstLastClick stream (Mobile sessions filtered)
|
IsQvoice
web_production: 1345
Was the request set in a voice
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AvgDTWeightedByRankMobileAllWcmWeightedValue
web_production: 1346
AllWcmWeightedValue factor over hits from AvgDTWeightedByRankMobile stream (Mobile sessions filtered)
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AvgDTWeightedByRankMobileAllWcmMatch95AvgValue
web_production: 1347
AllWcmMatch95AvgValue factor over hits from AvgDTWeightedByRankMobile stream (Mobile sessions filtered)
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AvgDTWeightedByRankMobileCMMatchTop5AvgValue
web_production: 1348
CMMatchTop5AvgValue factor over hits from AvgDTWeightedByRankMobile stream (Mobile sessions filtered)
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AvgDTWeightedByRankMobileAnnotationMatchWeightedValue
web_production: 1349
AnnotationMatchWeightedValue factor over hits from AvgDTWeightedByRankMobile stream (Mobile sessions filtered)
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AvgDTWeightedByRankMobileFullMatchValue
web_production: 1350
FullMatchValue factor over hits from AvgDTWeightedByRankMobile stream (Mobile sessions filtered)
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AvgDTWeightedByRankMobileMixMatchWeightedValue
web_production: 1351
MixMatchWeightedValue factor over hits from AvgDTWeightedByRankMobile stream (Mobile sessions filtered)
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XfDtShowTopSumW2FSumWFieldSet5AvgPerTrigramMaxValueAny
web_production: 1352
Linguistic boosting factor. Type of extensions: XFDTSHOW. Factor: AVGPERGRAGRAMMAXVALEANY in the Stream group 5. The average balanced values of the factor for the expansion top.
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CorrectedCtrLongPeriodAvgPerTrigramAvgValueAny
web_production: 1353
Avgpertrigramavgvalueanya Factor by CorretedctrlongPeriod Strame
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DssmLogDwelltimeBigramsL2
web_production: 1354
DSSM model trained on clicks. Takes bigrams into account. Embeddings for documents are computed offline.
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DssmBigramsQueryDerivativeMin
web_production: 1356
A minimum of gradients according to the Bigramm LogdwellTime model.
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DssmBigramsQueryDerivativeMax
web_production: 1357
Maximum from gradients according to the Bigramm Logdwelltime model.
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DssmBigramsQueryDerivativeMoment2Central
web_production: 1358
The second central moment (dispersion) from gradients according to the Bigramm Logdwelltime model.
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DssmBigramsQueryDerivativeMoment3Central
web_production: 1359
The third central moment from gradients according to the Bigramm Logdwelltime model.
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DssmVkPopularity
web_production: 1360
The probability that the VK.com host is popular for this request in accordance with the corresponding DSSM model.
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DssmOnlinerPopularity
web_production: 1361
The likelihood that the Onliner.by host is popular for this request according to the corresponding DSSM model.
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DssmRamblerPopularity
web_production: 1364
The probability that the Rambler.ru host is popular for this request in accordance with the corresponding DSSM model.
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DssmExpertcenPopularity
web_production: 1365
The likelihood that the ExpertCen.ru host is popular for this request in accordance with the corresponding DSSM model.
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DssmSunhomePopularity
web_production: 1366
The probability that the Sunhome.ru host is popular for this request according to the corresponding DSSM model.
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MisspellLmNgrYandexDirectOriginal
web_production: 1387
Summary Skorov words of a request for a language model 3GRAMS-YANDEX-DIRECT.
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MisspellLmRtlNgrWebMtOriginal
web_production: 1388
Summary of the Skorov words of the request by the Web-Mt language model.
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QfufTopSumWFSumWFieldSet3BclmWeightedFLogW0K0001
web_production: 1390
Linguistic boosting factor. Type of extensions: QFUF. Factor: BCLMWEIGHTEDFLOGW0_K0.001 FIELDSET3. The average balanced values of the TOP-10 factor by extensions.
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QueryToTextAllSumWFSumWBodyMinWindowSize
web_production: 1391
Linguistic boosting factor. Type of extensions: Querytotext. Factor: by minwindowsize according to the contents of the document. The average balanced values of the expansion factor.
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QfufAllSumWFSumWQueryDwellTimeMixMatchWeightedValue
web_production: 1393
Linguistic boosting factor. Type of extensions: QFUF. Factor: MixMatchweightedValue on Querydwelltime Stream. The average balanced values of the expansion factor.
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QueryToTextTopMinWFBodyMinWindowSize
web_production: 1394
Linguistic boosting factor. Type of extensions: Querytotext. Factor: Minwindowsize according to the contents of the document. The average balanced values of the TOP-10 factor by extensions.
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QfufAllMaxFFieldSetUTBm15FLogW0K00001
web_production: 1395
Linguistic boosting factor. Type of extensions: QFUF. Factor: BM15FLOGW0_K0.0001 on Ural and the heading. The maximum value of the expansion factor.
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QfufAllSumWFSumWFieldSet3BclmWeightedFLogW0K0001
web_production: 1396
Linguistic boosting factor. Type of extensions: QFUF. Factor: BCLMWEIGHTEDFLOGW0_K0.001 FIELDSET3. The average balanced values of the expansion factor.
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QueryToTextAllSumFCountBodyPairMinProximity
web_production: 1398
Linguistic boosting factor. Type of extensions: Querytotext. Factor: PairminProximity according to the contents of the document. The average values of the expansion factor.
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QueryToTextAllSumFCountTextBocm11Norm256
web_production: 1400
Linguistic boosting factor. Type of extensions: Querytotext. Factor: Bocm11_norm256 according to the text of the document. The average values of the expansion factor.
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QfufAllMaxFTextCosineMatchMaxPrediction
web_production: 1401
Linguistic boosting factor. Type of extensions: QFUF. Factor: COSINEMATCHMAXPRECTION on the text of the document. The maximum value of the expansion factor.
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QfufTopSumW2FSumWFieldSet1Bm15FLogK0001
web_production: 1402
Linguistic boosting factor. Type of extensions: QFUF. Factor: BM15FLOG_K0.001 according to Fieldset1. The average balanced values of the factor with a quadratic weight in the top 10 in terms of factor value by extensions.
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QfufAllMaxFTextBocm11Norm256
web_production: 1403
Linguistic boosting factor. Type of extensions: QFUF. Factor: Bocm11_norm256 according to the text of the document. The maximum value of the expansion factor.
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QfufTopSumWFSumWFieldSetUTBm15FLogW0K00001
web_production: 1404
Linguistic boosting factor. Type of extensions: QFUF. Factor: BM15FLOGW0_K0.0001 on Ural and the heading. The average balanced values of the expansion factor.
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DssmOneClickProbability
web_production: 1405
DSSM model trained on clicks, target=OneClicks/Clicks. Takes bigrams into account.
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DssmQueryDwellTime
web_production: 1406
DSSM model trained on clicks, target=QueryDwellTime stream value. Takes bigrams into account.
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AllMatchedWordWeightsSum
web_production: 1407
The normalized amount of the scales of the words of the request that met in the text of the document or links to it.
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StringMatchedWordWeightsSum
web_production: 1408
The normalized amount of the scales of the words of the request that Equal_by_String in the text of the document or links to it.
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AllMatchedWordWeightsSumText
web_production: 1409
The normalized amount of the scales of the words of the request that met in the text of the document.
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AllMatchedWordWeightsSumLink
web_production: 1410
The normalized amount of the scales of the words of the request that met in the links to the document.
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StringMatchedWordWeightsSumLink
web_production: 1411
The normalized amount of the scales of the words of the request that Equal_by_String in the links to the document.
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AllMatchedWordFiltrationModelWeightsSum
web_production: 1412
The normalized scales for the IFILTRETRATIONMODEL words of the request that met in the text of the document or links to it.
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StringMatchedWordFiltrationModelWeightsSum
web_production: 1413
The normalized scales for the IFILTRETRATIONMODEL Words of the request, which are Equal_by_String in the text of the document or links to it.
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LemmaMatchedWordFiltrationModelWeightsSum
web_production: 1414
The normalized scales for the IFILTRETRATIONMODEL Words of the request, which Equal_by_lemma in the text of the document or links to it.
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AllMatchedWordFiltrationModelWeightsSumLink
web_production: 1415
The normalized scales for the IFILTRETRATIONMODEL words of the request that met in links to the document.
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StringMatchedWordFiltrationModelWeightsSumLink
web_production: 1416
The normalized scales for the IFILTRETRATIONMODEL Words of the request, which Equal_by_String in the links to the document.
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QfufAllMaxFLinkAnnIndicatorAnnotationMaxValueWeighted
web_production: 1417
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest value of the factor. According to the stream from the lincum index of Linkannindicator. AnnotationmaxvalueWeighted algorithm - maximum weight (according to Mainweights Libra of Words) Operations coverage, weighed to the weight of the annotation
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QfufAllMaxWFLinkAnnIndicatorFullMatchValue
web_production: 1418
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest value of the factor. According to the stream from the lincum index of Linkannindicator. AnnotationmaxvalueWeighted algorithm - maximum weight (according to Mainweights Libra of Words) Operations coverage, weighed to the weight of the annotation
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XfDtShowAllMaxWFMaxWLinkAnnIndicatorPerWordCMMaxMatchMin
web_production: 1419
Linguistic boosting factor. Type of extensions: XFDTSHOW. Aggregation on all extensions. The greatest balanced value of the factor. It is normalized for the maximum weight of expansion. According to the stream from the lincum index of Linkannindicator. PerwordCmmaxMatchMin algorithm: The minimum according to CMMMAXMATCH weight.
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XfDtShowKnnAllMaxWFMetaPolyGen8BclmMixPlainKE5
web_production: 1420
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN (closest to the DSSM models trained to predict XFDTSHOW of extension). Aggregation on all extensions. The greatest balanced value of the factor. A mixture of many streams, weight is calculated by a fixed Polita component from the scales on this annotation. The algorithm for aggregation of words weights is BCLMMIXPLAIN: a linear mixture of annotation BCLM weights and balanced Positionless weights of the word, then the former meters are aggregated through BM15. Normalization coefficient 10^(-5).
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XfDtShowKnnAllMaxWFMaxWCorrectedCtrLongPeriodWordCoverageForm
web_production: 1421
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN (closest to the DSSM models trained to predict XFDTSHOW of extension). Aggregation on all extensions. The greatest balanced value of the factor. It is normalized for the maximum weight of expansion. Stream: Correctedctrlongperiod. The degree of coating of words query accurate to form (without synonyms).
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QfufAllMaxWFMaxWVpcgCorrectedClicksSLPExactQueryMatchAvgValue
web_production: 1422
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest balanced value of the factor. It is normalized for the maximum weight of expansion. The result of the VPCG for a long long period, data: CorrectedClicks. The average weight of the anntations among those in which the request was an accurate tuning.
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XfDtShowKnnAllMaxWFMaxWCorrectedCtrLongPeriodBclmPlaneProximity1Bm15W0Size1K0001
web_production: 1423
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN (closest to the DSSM models trained to predict XFDTSHOW of extension). Aggregation on all extensions. The greatest balanced value of the factor. It is normalized for the maximum weight of expansion. Stream: Correctedctrlongperiod. The BCLMPLANEPROXIMITY15W0SIZE1 algorithm: uses BCLM with free weight if there are several words of the request, if the word is one, then the sum of hits is used like a coincidence. Normalization coefficient 0.001.
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XfDtShowKnnAllAvgW
web_production: 1424
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN (closest to the DSSM models trained to predict XFDTSHOW of extension). Aggregation on all extensions. The average weight of extensions.
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alice_aramusic_dssm
web_production: 1430
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AliceMusicRelevanceDssm
web_production: 1431
DSSM Prediction to determine Alice's irrelevant answers
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RandomLogQueryAvgNews
web_production: 1432
The average value of News for the year. It is calculated in offline.
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RandomLogQueryAvgAddTime
web_production: 1433
ADDTIME average value for the year. It is calculated in offline.
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RandomLogQueryAvgTxtHiRelSy
web_production: 1434
The average value of TXTHIRELSY for the year. It is calculated in offline.
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RandomLogQueryAvgTextLike
web_production: 1435
The average TEXTLIKE value is for the year. It is calculated in offline.
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RandomLogQueryAvgHasNoAllWordsTRSy
web_production: 1436
The average Hasnoallwordstersy value for the year. It is calculated in offline.
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RandomLogQueryAvgIsForum
web_production: 1437
The average value of ISFORUM for the year. It is calculated in offline.
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RandomLogQueryAvgHasPayments
web_production: 1438
The average value of Haspayments for the year. It is calculated in offline.
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RandomLogQueryAvgYabarHostAvgTime2
web_production: 1439
The average value is Yabarhostavgtime2 for the year. It is calculated in offline.
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RandomLogQueryAvgYabarUrlVisitors
web_production: 1440
The average value of Yabarurlvisitors for the year. It is calculated in offline.
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RandomLogQueryAvgQueryDOwnerOnlyClickRate
web_production: 1441
The average value of QueryDowneronlyClickRate for the year. It is calculated in offline.
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RandomLogQueryAvgDaterAge
web_production: 1442
The average value of Dateraage for the year. It is calculated in offline.
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RandomLogQueryAvgLongestText
web_production: 1443
The average value of the LonGestText for the year. It is calculated in offline.
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RandomLogQueryAvgDifferentInternalLinks
web_production: 1444
The average value is DifferentinTernallinks for the year. It is calculated in offline.
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RandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
web_production: 1445
The average value of QueryDowneronlyClickRate_Rreg is for a year. It is calculated in offline.
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RandomLogQueryAvgIsHub
web_production: 1446
The average ISHUB value is for the year. It is calculated in offline.
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RandomLogQueryAvgBM25_0
web_production: 1448
The average value is BM25_0 on request per year. It is calculated in offline.
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RandomLogQueryAvgBocm
web_production: 1449
The average value of BOCM for the year. It is calculated in offline.
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RandomLogQueryAvgIsIndexPage
web_production: 1450
The average ISindexpage is for the year. It is calculated in offline.
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RandomLogQueryAvgQueriesAvgCM2
web_production: 1451
The average value of queriesavgcm2 for the year. It is calculated in offline.
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RandomLogQueryAvgBrowserHostDownloadProbability
web_production: 1452
The average value of BrowserhostDownloadProbabolyity for the year. It is calculated in offline.
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RandomLogQueryAvgRegBrowserUserHub
web_production: 1453
The average value of Regbrowseruserhub for the year. It is calculated in offline.
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RandomLogQueryAvgAuxTitleBM25
web_production: 1454
Auxtitlebm25 average value for the year. It is calculated in offline.
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RandomLogQueryAvgQueryUrlCorrectedCtrXfactor
web_production: 1455
The average value of QuryurlCorrectedctrxFactor for the year. It is calculated in offline.
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RandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
web_production: 1456
The average value is QueryTodocallsumfcountTextbM11Norm16384 for the year. It is calculated in offline.
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RandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
web_production: 1457
The average value of the XFDTSHOWALLSUMWFSUMWBODYMINWIDESIZE for the year. It is calculated in offline.
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RandomLogQueryClicksWeightedAvgIsMainPage
web_production: 1458
Maintened by clicks ISMainPage value for the year. It is calculated in offline.
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RandomLogQueryClicksWeightedAvgYabarUrlAvgTime
web_production: 1459
Main -heated clicks of the Yabarurlavgtime value for the year. It is calculated in offline.
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RandomLogQueryClicksWeightedAvgDifferentInternalLinks
web_production: 1460
Maintened by clicks DifferentinTernallinks for the year. It is calculated in offline.
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RandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
web_production: 1461
Malpanized Dwelltime-AMI Value of Urldomainfraction for the year. It is calculated in offline.
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BM25FdPRFixedNoLinks
web_production: 1462
BM25FDPR with standardization on the average length of the document, depending on the language of the document. Only texts are used.
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NoApproxSmallWindowAttenuation
web_production: 1470
|
NoApproxSmallWindowAttenuationQ
web_production: 1471
|
DssmMainContentKeywords
web_production: 1472
Query-MainContentKeywords similarity, target: logDwellTime
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DssmBoostingXfWeightQuerySelfSimilarity
web_production: 1477
Dssm Boosting query self similarity for XfWeight model.
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DssmBoostingXfWeightKMeans5AvgTop02Score
web_production: 1478
Dssm Boosting AvgTop02Score aggregation for XfWeight model over 5-means centroids.
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DssmBoostingXfWeightKMeans5AvgTop04Score
web_production: 1479
Dssm Boosting AvgTop04Score aggregation for XfWeight model over 5-means centroids.
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DssmBoostingXfWeightKMeans5AvgTop02ScoreAvgClusterTop3Weighted
web_production: 1480
Dssm Boosting AvgTop02ScoreAvgClusterTop3Weighted aggregation for XfWeight model over 5-means centroids.
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DssmBoostingXfWeightKMeans5AvgTop02ScoreQE
web_production: 1481
Dssm Boosting AvgTop02Score aggregation for XfWeight model over 5-means centroids (query as expansion).
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DssmBoostingXfWeightKMeans5AvgTop02ScoreAvgClusterTop3WeightedQE
web_production: 1482
Dssm Boosting AvgTop02ScoreAvgClusterTop3Weighted aggregation for XfWeight model over 5-means centroids (query as expansion).
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DssmBoostingXfOneQuerySelfSimilarity
web_production: 1483
Dssm Boosting query self similarity for XfOne model.
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DssmBoostingXfOneKMeans1Score
web_production: 1484
Dssm Boosting Score aggregation for XfOne model over 1-means centroids.
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DssmBoostingXfOneKMeans1ScaledSumWeight
web_production: 1485
Dssm Boosting ScaledSumWeight aggregation for XfOne model over 1-means centroids.
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DssmBoostingXfOneKMeans1ScoreQE
web_production: 1486
Dssm Boosting Score aggregation for XfOne model over 1-means centroids (query as expansion).
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DssmBoostingXfOneKMeans1ScoreAvgNearest1WeightedQE
web_production: 1487
Dssm Boosting ScoreAvgNearest1Weighted aggregation for XfOne model over 1-means centroids (query as expansion).
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DssmBoostingXfOneKMeans1ScoreAvgNearest5WeightedQE
web_production: 1488
Dssm Boosting ScoreAvgNearest5Weighted aggregation for XfOne model over 1-means centroids (query as expansion).
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DssmBoostingXfOneSeKMeans1Score
web_production: 1489
Dssm Boosting Score aggregation for XfOneSe model over 1-means centroids.
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DssmBoostingXfOneSeKMeans1ScoreScaledSumWeighted
web_production: 1490
Dssm Boosting ScoreScaledSumWeighted aggregation for XfOneSe model over 1-means centroids.
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DssmBoostingXfOneSeKMeans1ScoreAvgNearest5Weighted
web_production: 1491
Dssm Boosting ScoreAvgNearest5Weighted aggregation for XfOneSe model over 1-means centroids.
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DssmBoostingCtrQuerySelfSimilarity
web_production: 1492
Dssm Boosting query self similarity for Ctr model.
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DssmBoostingCtrKMeans1Score
web_production: 1493
Dssm Boosting Score aggregation for Ctr model over 1-means centroids.
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DssmBoostingCtrKMeans1ScoreQE
web_production: 1494
Dssm Boosting Score aggregation for Ctr model over 1-means centroids (query as expansion).
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DssmBoostingCtrKMeans1ScoreScaledSumWeightedQE
web_production: 1495
Dssm Boosting ScoreScaledSumWeighted aggregation for Ctr model over 1-means centroids (query as expansion).
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DssmBoostingCtrKMeans1ScoreAvgNearest1WeightedQE
web_production: 1496
Dssm Boosting ScoreAvgNearest1Weighted aggregation for Ctr model over 1-means centroids (query as expansion).
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VpcgCorrectedClicksSLPPerWordCMMaxPredictionMin
web_production: 1498
The result of the VPCG for a long long period, data: CorrectedClicks. Fullmatchprediction factor
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VpcgCorrectedClicksSLPAllWcmMatch95AvgValue
web_production: 1499
The result of the VPCG for a long long period, data: CorrectedClicks. ALLWCMMATCH95AVGVALUE factor
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VpcgCorrectedClicksSLPCMMatchTop5AvgValue
web_production: 1500
The result of the VPCG for a long long period, data: CorrectedClicks. CMMATCHTOP5AVGVALUE factor
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VpcgCorrectedClicksSLPAnnotationMaxValueWeighted
web_production: 1501
The result of the VPCG for a long long period, data: CorrectedClicks. Factor AnnotationmaxValueWeighted
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VpcgCorrectedClicksSLPMixMatchWeightedValue
web_production: 1502
The result of the VPCG for a long long period, data: CorrectedClicks. MixmatchweightedValue factor
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VpcgCorrectedClicksSLPCMMatchTop5AvgPrediction
web_production: 1503
The result of the VPCG for a long long period, data: CorrectedClicks. CMMATCHTOP5AVGPREDION factor
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DssmCtrNoMiner
web_production: 1504
DSSM model trained on CTRs without miner.
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DssmQueryUrlTitleRegChainClicksOdd
web_production: 1513
DSSM model trained on click odd pool
|
DssmQueryUrlTitleRegChainClicksPers
web_production: 1514
DSSM model trained on click personalization pool
|
DssmQueryUrlTitleRegChainClicksTrFull
web_production: 1515
DSSM model trained on click triangle pool
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RequestWithRegionNameLinkAnnFloatMultiplicityCMMatchTop5AvgMatchValue
web_production: 1516
Linguistic boosting factor. Type of extensions: Requestwithregionname. Factor: CMMATCHTOP5AVGMATCHVAVALU on Stream Floatmultiplicity Linkann index
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LinkAnnLinkAnnFloatMultiplicityPerWordAMMaxValueMin
web_production: 1518
Linguistic boosting factor. Factor: Perwordammaxvaluemin for stream Floatmultiplicity Linkann index
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LinkAnnFloatMultiplicityAttenV1Bm15K001
web_production: 1519
Linguistic boosting factor. Factor: Attenv1bm15K001 according to the stream Floatmultiplicity of the Linkann index
|
LinkAnnLinkExternalBocm11Norm256
web_production: 1520
Linguistic boosting factor. Factor: BOCM11NORM256 according to the stream of the ISEXTERNAL Linkann index
|
RequestWithRegionNameLinkAnnFloatMultiplicityAnnotationMaxValue
web_production: 1522
Linguistic boosting factor. Type of extensions: Requestwithregionname. Factor: Annotationmaxvalue Stream Floatmultiplicity Linkann index
|
DssmLogDtBigramsAMHardQueriesNoClicks
web_production: 1523
DSSM model trained on clicks without miner (with no-clicks and AM-hard negatives). Takes bigrams into account.
|
DssmQueryCountryToUrlEstimatedDistance
web_production: 1542
Predicted by demand and country, using a DSSM model, the length of the click from this country.
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DssmRandomLogQueryAvgNews
web_production: 1543
The average for the year for the year predicted using the neural network.
|
DssmRandomLogQueryAvgAddTime
web_production: 1544
ADDTIME ADDTIME is predicted using a neural network for a year.
|
DssmRandomLogQueryAvgTxtHiRelSy
web_production: 1545
The average Txthirelesy value predicted using a neural network for the year.
|
DssmRandomLogQueryAvgTextLike
web_production: 1546
The average Textlike is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgHasNoAllWordsTRSy
web_production: 1547
The average HasnoallwordStrsy is predicted using a neural network for a year.
|
DssmRandomLogQueryAvgIsForum
web_production: 1548
The average ISFORUM is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgHasPayments
web_production: 1549
The average Haspayments is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgYabarHostAvgTime2
web_production: 1550
The average value of Yabarhostavgtime2 for the year for the year.
|
DssmRandomLogQueryAvgYabarUrlVisitors
web_production: 1551
The average yabarurlvisitors is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate
web_production: 1552
The average value of QueryDowneronlyClickRate for the year for the year.
|
DssmRandomLogQueryAvgDaterAge
web_production: 1553
The average Dateraage value for the year for a year predicted using a neural network.
|
DssmRandomLogQueryAvgLongestText
web_production: 1554
The average LonGestText is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgDifferentInternalLinks
web_production: 1555
The average DifferentinTernallinks for the year for the year.
|
DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
web_production: 1556
The average value of QueryDowneronlyClickRate_Rreg is predicted using a neural network for a year.
|
DssmRandomLogQueryAvgBocm
web_production: 1560
The average BOCM value predicted using a neural network for the year.
|
DssmRandomLogQueryAvgIsIndexPage
web_production: 1561
The average ISindEXPAGE is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgQueriesAvgCM2
web_production: 1562
The average value of QueriesavGCM2 for the year for the year predicted using a neural network.
|
DssmRandomLogQueryAvgBrowserHostDownloadProbability
web_production: 1563
The average BrowserhostdowLoadProbabolyity for the year for the year.
|
DssmRandomLogQueryAvgRegBrowserUserHub
web_production: 1564
The average value of Regbrowseruserhub for the year for a year predicted using a neural network.
|
DssmRandomLogQueryAvgAuxTitleBM25
web_production: 1565
The average AuxtitlebM25 average value for the year for the year.
|
DssmRandomLogQueryAvgQueryUrlCorrectedCtrXfactor
web_production: 1566
The average value of QuryurlCorrededCTRXFACTOR for the year for the year.
|
DssmRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
web_production: 1567
The average value of QueryTodoCallsumfcountTextbM11Norm16384 for the year for the year.
|
DssmRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
web_production: 1568
The average value of the XFDTSHOWALSUMWFSUMWBODYMINWINDOWSIZE for the year for the year.
|
DssmRandomLogQueryClicksWeightedAvgIsMainPage
web_production: 1569
The value of the ISMAINPAGE with clicks predicted using the neural network with clicks on request for the year.
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DssmRandomLogQueryClicksWeightedAvgYabarUrlAvgTime
web_production: 1570
A mid Yabarurlavgtime value predicted using a neural network with clicks for a year.
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DssmRandomLogQueryClicksWeightedAvgDifferentInternalLinks
web_production: 1571
DiffferentinTernallinks, which is predicted using a neural network, is a weighted net with clicks for a year.
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DssmRandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
web_production: 1572
The Malue Network DwellTime-AMI predicted using the neural network is the value of Urldomainfraction for the year.
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XfDtShowKnnAllMaxWFFieldSet3BclmWeightedFLogW0K0001
web_production: 1573
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: BCLMWEIGHTEDFLOGW0 in the Stream group 3. The maximum balanced value of the factor.
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XfDtShowKnnAllMaxWFFieldSet2Bm15FLogK0001
web_production: 1574
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: BM15FLOG in the group of streams 2. The maximum balanced value of the factor.
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XfDtShowKnnBagOfWordsFieldSetBagOfWordsOriginalRequestFraction
web_production: 1575
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: ORIGINALREQUENTFRACTFRACTION OF THE FIELDSETBAGOFWORDS Stream.
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XfDtShowKnnAllMaxWFSumWQueryDwellTimeMixMatchWeightedValue
web_production: 1576
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: MixmatchweightedValue by Stream Querydwelltime. The maximum balanced value of the factor is normalized for the total weight.
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XfDtShowKnnAllSumW2FSumWTitleBm15K01
web_production: 1577
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: BM15 according to Stream Title. The total balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) normalized for total weight.
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XfDtShowKnnTopMinFFieldSet3BclmWeightedFLogW0K0001
web_production: 1578
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: BCLMWEIGHTEDFLOGW0 in the Stream group 3. The minimum value of the factor for the expansion top.
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XfDtShowKnnAllSumW2FSumWFieldSet3BclmWeightedFLogW0K0001
web_production: 1579
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: BCLMWEIGHTEDFLOGW0 in the Stream group 3. The total balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) normalized for the total weight.
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XfDtShowKnnAllMaxWFFieldSet1Bm15FLogK0001
web_production: 1580
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: BM15FLOG in the Stream group 1. The maximum balanced value of the factor.
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XfDtShowKnnAllSumWFSumWFieldSet1Bm15FLogK0001
web_production: 1581
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: BM15FLOG in the Stream group 1. The total balanced value of the factor is normalized for the total weight.
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XfDtShowKnnBagOfWordsLongClickSPAnnotationMatchAvgValue
web_production: 1582
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: Bag AnnotationMatChavgvalue by Stream LongClicksp.
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XfDtShowKnnTopSumW2FSumWFieldSet1Bm15FLogK0001
web_production: 1583
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: BM15FLOG for the Stream group 1. The total balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) for expansion top extensions, standardized for the total weight of the expansion top.
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XfDtShowKnnTopMinWFMaxWFieldSet1Bm15FLogK0001
web_production: 1584
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: BM15FLOG in the Stream group 1. The minimum balanced value of the factor for the expansion top extensions normalized for the maximum weight by the expansion top.
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XfDtShowKnnAllMaxWFSumWBodyPairMinProximity
web_production: 1585
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: PairminProximity according to Stream Body. The maximum balanced value of the factor is normalized for the total weight.
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XfDtShowKnnAllSumW2FSumWFieldSet1Bm15FLogK0001
web_production: 1586
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: BM15FLOG for the Stream group 1. The total balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) normalized for total weight.
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XfDtShowKnnBagOfWordsSimpleClickAnnotationMatchAvgValue
web_production: 1587
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: SIMPLECLIC SIMPLECLICS bag.
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XfDtShowKnnBagOfWordsTitleCosineMaxMatch
web_production: 1588
Linguistic boosting factor. Type of extensions: XFDTSHOWKNN. Factor: CosinemaxMatch bag according to Title Stream.
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Regionality5LocalizationProbability
web_production: 1589
The prediction of the probability that the request is localized in accordance with the regionality5 rule.
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DocumentHasFioFromOriginalRequest
web_production: 1594
Document has Fio from original request
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DssmLogDtBigramsAMHardQueriesNoClicksMixed
web_production: 1596
DSSM model trained on clicks without miner (with no-clicks and am_hard negatives 50/50 and then on am_hard negatives only). Takes bigrams into account.
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DssmBoostingXfOneSeAmSsHardKMeans1Score
web_production: 1597
Dssm Boosting Score aggregation for XfOneSeAmSsHard model over 1-means centroids.
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DssmBoostingXfOneSeAmSsHardKMeans1ScoreAvgClusterTop3Weighted
web_production: 1598
Dssm Boosting ScoreAvgClusterTop3Weighted aggregation for XfOneSeAmSsHard model over 1-means centroids.
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QueryToTextByXfDtShowKnnAllSumW2FSumWTextBocm11Norm256
web_production: 1615
Linguistic boosting factor. Type of extensions: Querytotextbyxfdtshowknn. Factor: Norm256 by stream BOCM11. The total balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}).
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QueryToTextByXfDtShowKnnTopSumW2FSumWBodyMinWindowSize
web_production: 1616
Linguistic boosting factor. Type of extensions: Querytotextbyxfdtshowknn. Factor: Minwindowsize by Stream Body. The total balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) by the expansion top, normalized for the total weight according to the expansion top.
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QueryToTextByXfDtShowKnnAllSumW2FSumWBodyMinWindowSize
web_production: 1617
Linguistic boosting factor. Type of extensions: Querytotextbyxfdtshowknn. Factor: Minwindowsize by Stream Body. The total balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) normalized for total weight.
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QueryToTextByXfDtShowKnnTopSumW2FSumWTextBocm11Norm256
web_production: 1618
Linguistic boosting factor. Type of extensions: Querytotextbyxfdtshowknn. Factor: Norm256 by stream BOCM11. The total balanced values of the factor multiplied by weight (\ frac {\ sum w_i * (w_i * f_i)} {\ sum w_i}) according to the expansion top.
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QueryToTextByXfDtShowKnnAllMinW
web_production: 1619
Linguistic boosting factor. Type of extensions: Querytotextbyxfdtshowknn. The minimum expansion weight.
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QueryToTextByXfDtShowKnnAllAvgW
web_production: 1620
Linguistic boosting factor. Type of extensions: Querytotextbyxfdtshowknn. The arithmetic mean of expansion weights.
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QueryToTextByXfDtShowKnnAllTotalW
web_production: 1621
Linguistic boosting factor. Type of extensions: Querytotextbyxfdtshowknn. The total weight of the extensions.
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QueryToTextByXfDtShowKnnBagOfWordsFieldSetBagOfWordsOriginalRequestFraction
web_production: 1622
Linguistic boosting factor. Type of extensions: Querytotextbyxfdtshowknn. Factor: ORIGINALREQUENTFRACTFRACTION OF THE FIELDSETBAGOFWORDS Stream.
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DssmBoostingXfOneSeAmSsHardQueryMutationAddFixedYearWordRenormedDistance
web_production: 1624
Characterizes the request for the degree of change from the addition of a fixed word (number of some year), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
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DssmBoostingXfOneSeAmSsHardQueryMutationAddOnlineWordRenormedDistance
web_production: 1625
Characterizes a request for the degree of change from the addition of a fixed word ('online' for Kirilitsa), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
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DssmBoostingXfOneSeAmSsHardQueryMutationDelSiteWordRenormedDistance
web_production: 1626
Characterizes the request for the degree of change from removing a fixed word ('site' for Kirilitsa), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
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RandomLogWordMaxHasNoTr
web_production: 1628
For each word offline, the average Hasnotr meaning is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMaxIsLJ
web_production: 1629
For each word offline, the average ISLJ value is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMinBclmLite
web_production: 1631
For each word offline, the average BCLMLITE value is calculated for 3 months. Further, in all words of the request, a minimum of this value is taken.
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RandomLogWordSkipStopWordsMaxDBM40
web_production: 1632
For each word offline, the average DBM40 value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
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RandomLogWordSkipStopWordsMaxIsDesktopRequest
web_production: 1633
For each word offline, the average ISDESKTOPREQUEST value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
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RandomLogWordMaxRLQAvgHasNoAllWordsTrSyn
web_production: 1634
For each word offline, the average value of RLQAVGHASNOLLWORDSTRSYN is calculated at the request for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMaxDssmAggregatedAnnReg
web_production: 1635
For each word offline, the average DSSMAGGRETEDANNREG value is calculated at the request for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMaxMetaNumUrlsPerHostFixed
web_production: 1636
For each word offline, the average meaning of MetanumurlSperhostfixed is calculated in demands in 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordSkipStopWordsMaxSDIsNavMxQueryMax
web_production: 1637
For each word offline, the average value of MaxsdisnavmxqueryMax is calculated at the request for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
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DssmGoogleSpecificity
web_production: 1674
DSSM prediction of google specificity for query
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KnnRandomLogQueryAvgAddTime
web_production: 1683
The average value of Randomlogqueryavgaddtime of the closest KNN queries.
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KnnRandomLogQueryAvgTxtHiRelSy
web_production: 1684
The average value of RandomlogqueryavgtXthirelsy nearest KNN queries.
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KnnRandomLogQueryAvgTextLike
web_production: 1685
The average value of Randomlogqueryavgtextlike nearest KNN queries.
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KnnRandomLogQueryAvgIsForum
web_production: 1686
The average value of Randomlogqueryavgisforum of the closest KNN queries.
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KnnRandomLogQueryAvgHasPayments
web_production: 1687
The average value of Randomlogqueryavghaspayments closest to KNN queries.
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KnnRandomLogQueryAvgDifferentInternalLinks
web_production: 1688
The average value of Randomlogqueryavgdiferentinternallinks of the nearest KNN queries.
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KnnRandomLogQueryAvgIsTargetBussinessCard
web_production: 1689
The average value of RandomlogqueryavgistargetbussinessCard of the nearest KNN queries.
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KnnRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
web_production: 1690
The average value is RandomlogqueryavgquerytododoCallsumfcountTextBM11NORM16384 of the nearest KNN queries.
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KnnRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
web_production: 1691
The average value is Randomlogqueryavgxfdtshowallsumwfsumwbodyminwindowsize closest KNN queries.
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WebVideoPCtrNewAllWcmMaxMatch
web_production: 1705
Stream PCtrNew from yandex video
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WebVideoPCtrNewCMMatchTop5AvgMatch
web_production: 1706
Stream PCtrNew from yandex video
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WebVideoPCtrNewAnnotationMaxValueWeighted
web_production: 1707
Stream PCtrNew from yandex video
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WebVideoPCtrNewCMMatchTop5AvgPrediction
web_production: 1708
Stream PCtrNew from yandex video
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WebVideoPCtrNewFullMatchValue
web_production: 1709
Stream PCtrNew from yandex video
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WebVideoPCtrNewPerWordCMMaxMatchMin
web_production: 1710
Stream PCtrNew from yandex video
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RequestWithoutVerbsTitleBm15K01
web_production: 1713
The initial request with the removal of verbs. It is considered according to the heading of the document. The algorithm for aggregation of the scales of words: BM15. Normalization coefficient 0.1.
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RequestWithoutVerbsFieldSetUTBm15FLogW0K00001
web_production: 1714
The initial request with the removal of verbs. It is considered to be composational stream, consisting of an tokenized Url and a title of a document. The algorithm for aggregation of the scales of words: BM15FLOGW0. Normalization coefficient 0.0001.
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RequestWithoutVerbsSumWBodyMinWindowSize
web_production: 1715
The initial request with the removal of verbs. It is considered according to the contents of the document. The minimum window size, which includes all the words of the request. It is normalized for the number of words in the request.
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RequestWithoutVerbsAllMaxFUrlBm15K01
web_production: 1716
The initial request with the removal of verbs. It is considered to be toxicated by Ural. The algorithm for aggregation of the scales of words: BM15. Normalization coefficient 0.1.
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QueryUrlEditDistNormalizedByMaxlen
web_production: 1765
Levenstein’s distance between the request and Url of the type of YouTubecom/Watch normalized to the maximum of the length of the request and Url
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QueryUrlLCSNormalizedByQuery
web_production: 1766
The length of the largest total setting between Url and the request normalized for the length of the request
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TolokaBasedPornQueryClassificationSigmoid
web_production: 1767
Sigmoid rationed the value of a textual classifier of porn according to Toloka Porn
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TolokaBasedPornQueryClassificationBinary
web_production: 1768
Binarized value of a textual classifier text classifier according to Toloka estimates
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WebClassificationBasedPornQueryClassification
web_production: 1769
The value of the text classifier of porn according to the classifier of the web and add. dictionaries
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WebClassificationBasedPornQueryClassificationBinary
web_production: 1770
Binarized with the use of networks, the value of a textual classifier of porn according to the estimates of the web and additional classifier. dictionaries
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DirtyLanguageInQuery
web_production: 1771
The presence of obscene vocabulary in the request. 0 - absent, 0.5 - non -seated, 1 - hard
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PornMarkersInQuery
web_production: 1772
The presence of porn markers in the request (0 - is, 1/3 - no, 1 - request 'gray')
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DssmPantherTerms
web_production: 1773
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QueryDoppMedianDwelltime
web_production: 1797
Median dwelltai request in history. Dwelltaym is cut to 6000. The request is normalized by doppelgangers
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QueryDoppMultipleClicksShows
web_production: 1798
The number of shows of the request with more than one click in history. The request is normalized by doppelgangers
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QueryDoppMultipleClicksProbability
web_production: 1799
The share of shows with more than one click from all shows in history. The request is normalized by doppelgangers
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QueryToTextAllAvg
web_production: 1832
The average value for the query factor according to Querytotext linguosting data is calculated in the LingBoostqueryFeatures Hotemaway Rules
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QueryToTextKnnAllAvg
web_production: 1833
The average value for the query factor according to Querytotextbyxfdtshowknn linguosting data is calculated in the LingBoostqueryFeatures Hotemail Rules
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XfDtShowAllTotalW
web_production: 1834
SUM / (SUM + 10) for the requested factor according to the XFDTSHOW linguosting data, is calculated in the LingBoostqueryFeatures Hotemaura
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XfDtShowQuantile01
web_production: 1835
Quantile 0.1 for the request factor according to the XFDTSHOW linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
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XfDtShowKnnQuantile10
web_production: 1836
Quantile 0.1 for the request factor according to the XFDTSHOWKNN linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
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XfDtShowKnnQuantile09
web_production: 1837
Quantile 0.9 for the quantity factor according to the XFDTSHOWKNN linguosting data, is calculated in the LingBoostqueryFeatures Hotemail Rules
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QfufAllTotalWeight
web_production: 1838
SUM / (SUM + 10) for the requested factor according to QFUF linguosting data, is calculated in the LingBoostqueryFeatures Hotemaura
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QfufAllAvg
web_production: 1839
The average value for the quoted factor according to QFUF lingvobusting data is calculated in the LingBoostqueryFeatures Hotemail Rules
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DssmBoostingSerpSimilarityHardKMeans1Score
web_production: 1841
Dssm Boosting Score for SerpSimilarityHard model over 1-means centroids.
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IsRelevLocaleUZ
web_production: 1843
Relev_locale == Us
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QueryDoppTimeFromPreviousPercentile25
web_production: 1844
25% time quantile from the previous request to the current one. The request is normalized by doppelgangers
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NeuroTextModelLongClickPredictorByWordAndBigramCountersWithSSHards
web_production: 1845
The result of the use of a neural model, trained to distinguish long clicks from other events, the input of the model is the ambassadors and bigram meters, calculated by text streams (Title, Body, URL).
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QfufFilteredByXfOneSeAllMaxFFieldSet2Bm15FLogK0001
web_production: 1847
Linguistic boosting factor. Type of extensions: QFUFFILTEDBYXFONSE (QFUF, filtered on the DSSM models Xfonese). Aggregation on all extensions. The greatest value of the factor. Into aircraft association of the URLs, Title, Body, Correctedctr, Longclick, OneClick, Browserpagerank, Splitdwelltime, SampleperiodDayFrc, SimpleClick, Yabarvisits, Yabartime. The algorithm for aggregation of the scales of words: BM15FLOG (BM15 Aggregation of Logarithm of Construction of Words). Normalization coefficient 0.001.
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QfufFilteredByXfOneSeAllMaxFFieldSet3BclmWeightedFLogW0K0001
web_production: 1848
Linguistic boosting factor. Type of extensions: QFUFFILTEDBYXFONSE (QFUF, filtered on the DSSM models Xfonese). Aggregation on all extensions. The greatest value of the factor. Rebelled association of streams Title, Body, LongClick, LongClicksp, OneClick. The algorithm for aggregation of the scales of words: BCLMWEIGHTEDFLOGW0. Normalization coefficient 0.001.
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QfufFilteredByXfOneSeAllMaxFFieldSetUTBm15FLogW0K00001
web_production: 1849
Linguistic boosting factor. Type of extensions: QFUFFILTEDBYXFONSE (QFUF, filtered on the DSSM models Xfonese). Aggregation on all extensions. The greatest value of the factor. It is considered to be composational stream, consisting of an tokenized Url and a title of a document. The algorithm for aggregation of the scales of words: BM15FLOGW0. Normalization coefficient 0.0001.
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QfufFilteredByXfOneSeAllMaxFTitleBm15K01
web_production: 1850
Linguistic boosting factor. Type of extensions: QFUFFILTEDBYXFONSE (QFUF, filtered on the DSSM models Xfonese). Aggregation on all extensions. The greatest value of the factor. It is considered according to the heading of the document. The algorithm for aggregation of the scales of words: BM15. Normalization coefficient 0.1.
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QfufFilteredByXfOneSeTopSumWFSumWFieldSet2Bm15FLogK0001
web_production: 1851
Linguistic boosting factor. Type of extensions: QFUFFILTEDBYXFONSE (QFUF, filtered on the DSSM models Xfonese). Aggregation by TOP-10 (by the value of the factor) extensions. A suspended sum of the Libra of factors. Normalized for the total weight of extensions. Into aircraft association of the URLs, Title, Body, Correctedctr, Longclick, OneClick, Browserpagerank, Splitdwelltime, SampleperiodDayFrc, SimpleClick, Yabarvisits, Yabartime. The algorithm for aggregation of the scales of words: BM15FLOG (BM15 Aggregation of Logarithm of Construction of Words). Normalization coefficient 0.001.
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QfufFilteredByXfOneSeTopSumWFSumWBodyMinWindowSize
web_production: 1852
Linguistic boosting factor. Type of extensions: QFUFFILTEDBYXFONSE (QFUF, filtered on the DSSM models Xfonese). Aggregation by TOP-10 (by the value of the factor) extensions. A suspended sum of the Libra of factors. Normalized for the total weight of extensions. It is considered according to the contents of the document. The minimum window size, which includes all the words of the request. It is normalized for the number of words in the request.
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OriginalRequestWordsFilteredByDssmSSHardFieldSet1Bm15FLogK0001
web_production: 1853
The factor for the filtered original request: the DSSM state from the request is calculated without words to the initial request, after which the threshold is cut off. Into aircraft association of the URLs, Title, Body, Links, Correctedctr, LongClick, OneClick, Browserpagerank, Splitdwelltime, SampleperiodDayFrc, SimpleClick, Yabarvisits, Yabartime. The algorithm for aggregation of the scales of words: BM15FLOG (BM15 Aggregation of Logarithm of Construction of Words). Normalization coefficient 0.001.
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OriginalRequestWordsFilteredByDssmSSHardFieldSetUTBm15FLogW0K00001
web_production: 1854
The factor for the filtered original request: the DSSM state from the request is calculated without words to the initial request, after which the threshold is cut off. It is considered to be composational stream, consisting of an tokenized Url and a title of a document. The algorithm for aggregation of the scales of words: BM15FLOGW0. Normalization coefficient 0.0001.
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DssmCtrEngSsHard
web_production: 1855
DSSM model trained on cross language CTRs using serp similarity hard miner.
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FractionOfPresentedInTitleWordsWithWeightsByDssmSSHardModel
web_production: 1857
For all words of the request, the weight is calculated by the Query-Mutation method (the distance between the requests in nash and there is no word). The sum of the scales of the words found in the title is taken, divided by the sum of the scales of all words.
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MaxWeightOfAbsentInTitleWordsWithWeightsByDssmSSHardModel
web_production: 1858
For all words of the request, the weight is calculated by the Query-Mutation method (the distance between the requests in nash and there is no word). Maximum weight is taken among words absent in the title of the document.
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NeuroTextModelLongClickPredictorByWordAndBigramCountersWithoutTitleWithSSHards
web_production: 1859
The result of the use of a neural model, trained to distinguish long clicks from other events, the input of the model is the ambassadors and bigram meters calculated by text streams (Body, URL).
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XfOneSeKnnAllMaxWFMaxWFieldSet1Bm15FLogK0001
web_production: 1864
Linguistic boosting factor. Type of extensions: XFONESEKNN (closest to the DSSM models trained to predict XFDTSHOW of extension). Aggregation on all extensions. The greatest balanced value of the factor. It is normalized for the maximum weight of expansion. Into aircraft association of the URLs, Title, Body, Links, Correctedctr, LongClick, OneClick, Browserpagerank, Splitdwelltime, SampleperiodDayFrc, SimpleClick, Yabarvisits, Yabartime. The algorithm for aggregation of the scales of words: BM15FLOG (BM15 Aggregation of Logarithm of Construction of Words). Normalization coefficient 0.001.
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XfOneSeKnnAllMaxWFMaxWOneClickFullMatchValue
web_production: 1865
Linguistic boosting factor. Type of extensions: XFONESEKNN (closest to the DSSM models trained to predict XFDTSHOW of extension). Aggregation on all extensions. The greatest balanced value of the factor. It is normalized for the maximum weight of expansion. Todo Algorithm: The maximum weight of the completely coincided with the request of the annotation. It is considered according to Stream OneClick.
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QueryToTextByXfOneSeKnnTopSumWFSumWBodyMinWindowSize
web_production: 1866
Linguistic boosting factor. Type of extensions: QuerytotextByxfoneKnn (Querytotext extensions of Xfoneeseknn extensions). Aggregation by TOP-10 (by the value of the factor) extensions. A suspended sum of the Libra of factors. Normalized for the total weight of extensions. It is considered according to the contents of the document. The minimum window size, which includes all the words of the request. It is normalized for the number of words in the request.
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QueryToTextByXfOneSeKnnAllSumWFSumWFieldSet3BclmWeightedFLogW0K0001
web_production: 1867
Linguistic boosting factor. Type of extensions: QuerytotextByxfoneKnn (Querytotext extensions of Xfoneeseknn extensions). Aggregation on all extensions. A suspended sum of the Libra of factors. Normalized for the total weight of extensions. Rebelled association of streams Title, Body, LongClick, LongClicksp, OneClick. The algorithm for aggregation of the scales of words: BCLMWEIGHTEDFLOGW0. Normalization coefficient 0.001.
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ReformulationsLongestClickLogDt
web_production: 1885
DSSM model that predicts the logarithm of the longest click on the Serpa. As negative examples, select Urla from past requests of the same user, and the maximum time between requests is no more than 7 minutes (super -cords for reformulations)
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ReformulationsLongestClickLogDtEarlyBindingDssm
web_production: 1892
DSSM model with early binding, trained in reformulations, which predicts the logarithm of the longest click on the Serpa.
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WeekdayQueryProbability
web_production: 1894
Weekday query probability
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HitContextsDssm
web_production: 1896
Neural network value for contexts of query hits in document text. Predicts relevance-all-8-years. Uses formula ussr-dump-20190719 prs-20190720 all-8-years [t > 0.25] CrossEntropy 20k 0.25 -S 0.8 -Z 1 predictions for learning.
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DssmReformulationsWithExtensions
web_production: 1898
DSSM model trained on a reformal pool, which in the request, in addition to the request itself, receives 4 extensions of the XFDT with the largest weight
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RandomLogQueryAvgIsBlog
web_production: 1903
The average ISBLOG value for the year. It is calculated in offline.
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DssmFomula8YearsCe25Prediction
web_production: 1906
A model trained to predict an assessment of the USSR-DUMP-20190719 PRS-20190720 ALL-8-YEARS [T> 0.25] Crossentropy 20K 0.25 -s 0.8 -z 1.
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UnexpectedTrashUrlQualityFresh
web_production: 1909
Neuron document model for finding unexpected tin (for ex -)
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RequestMultitokensAllMaxFUrlBclmMixPlainKE5
web_production: 1910
Features calculated on url with request multitokens expansion
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RequestMultitokensAllSumW2FSumWUrlExactQueryMatchAvgValue
web_production: 1911
Features calculated on url with request multitokens expansion
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DssmFomula8YearsCe25PredictionRatings
web_production: 1912
A model trained to predict an assessment of the USSR-DUMP-20190719 PRS-20190720 ALL-8-YEARS [T> 0.25] Crossentropy 20K 0.25 -s 0.8 -z 1 and an educational study on assessments of relevance.
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FreshDetectorPredict
web_production: 1920
The value of the freshness detector calculated in the hippo. Always 0 with a detector value less than the threshold.
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AsrHypothesisCount
alice_asr_factors: 0
Count of utterance hypothesises from ASR
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MaxAsrHypothesisWordsCount
alice_asr_factors: 1
Max count of words in utterance hypothesises from ASR
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MinAsrHypothesisWordsCount
alice_asr_factors: 2
Min count of words in utterance hypothesises from ASR
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AvgAsrHypothesisWordsCount
alice_asr_factors: 3
Average count of words in utterance hypothesises from ASR
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StddevAsrHypothesisWordsCount
alice_asr_factors: 4
Standard deviation of words count in utterance hypothesises from ASR
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WinnerAsrHypothesisWordsCount
alice_asr_factors: 5
Count of words in winner utterance hypothesis from ASR
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MaxAsrHypothesisUtteranceLength
alice_asr_factors: 6
Max length of utterance hypothesises from ASR
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MinAsrHypothesisUtteranceLength
alice_asr_factors: 7
Min length of utterance hypothesises from ASR
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AvgAsrHypothesisUtteranceLength
alice_asr_factors: 8
Average length of utterance hypothesises from ASR
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StddevAsrHypothesisUtteranceLength
alice_asr_factors: 9
Standard deviation of utterance hypothesises lengths from ASR
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WinnerAsrHypothesisUtteranceLength
alice_asr_factors: 10
Length of winner utterance hypothesis from ASR
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AsrSpeakersNumber
alice_asr_factors: 11
Number of speakers deduced from ASR hypothesises
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AsrHypothesisDistanceMean
alice_asr_factors: 12
Mean distance to winner ASR hypothesis from other hypothesises
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AsrHypothesisDistanceStddev
alice_asr_factors: 13
Standard Deviation of distances to winner ASR hypothesis from other hypothesises
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ChildConfidence
alice_asr_factors: 14
Probability of user being a child
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IsChild
alice_asr_factors: 15
Prediction of the user being a child
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MaxAsrAcousticScore
alice_asr_factors: 16
Maximum acoustic score
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MinAsrAcousticScore
alice_asr_factors: 17
Minimum acoustic score
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AvgAsrAcousticScore
alice_asr_factors: 18
Average acoustic score
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StddevAsrAcousticScore
alice_asr_factors: 19
Standard deviation of the acoustic score
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MedianAsrAcousticScore
alice_asr_factors: 20
Median of the acoustic score
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WinnerAsrAcousticScore
alice_asr_factors: 21
Winner's acoustic score
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AcousticModelType
alice_asr_factors: 22
ASR acoustic model type (0 == undefined, 1 == seq2seq, 2 == grapheme)
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DurationProcessedAudio
alice_asr_factors: 23
Duration of the audio request
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GenericScenariosAlarmsTimers
alice_begemot_nlu_factors: 0
Word LSTM trained on quasar toloka data (alarms_timers prediction)
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GenericScenariosCommands
alice_begemot_nlu_factors: 1
Word LSTM trained on quasar toloka data (commands prediction)
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GenericScenariosFairyTails
alice_begemot_nlu_factors: 2
Word LSTM trained on quasar toloka data (fairy_tails prediction)
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GenericScenariosGamesSkills
alice_begemot_nlu_factors: 3
Word LSTM trained on quasar toloka data (games_skills prediction)
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GenericScenariosGeo
alice_begemot_nlu_factors: 4
Word LSTM trained on quasar toloka data (geo prediction)
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GenericScenariosInfoRequest
alice_begemot_nlu_factors: 5
Word LSTM trained on quasar toloka data (info_request prediction)
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GenericScenariosIot
alice_begemot_nlu_factors: 6
Word LSTM trained on quasar toloka data (iot prediction)
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GenericScenariosMarket
alice_begemot_nlu_factors: 7
Word LSTM trained on quasar toloka data (market prediction)
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GenericScenariosMusic
alice_begemot_nlu_factors: 8
Word LSTM trained on quasar toloka data (music prediction)
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GenericScenariosNewFunctionality
alice_begemot_nlu_factors: 9
Word LSTM trained on quasar toloka data (new_functionality prediction)
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GenericScenariosNews
alice_begemot_nlu_factors: 10
Word LSTM trained on quasar toloka data (news prediction)
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GenericScenariosOntofacts
alice_begemot_nlu_factors: 11
Word LSTM trained on quasar toloka data (ontofacts prediction)
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GenericScenariosOther
alice_begemot_nlu_factors: 12
Word LSTM trained on quasar toloka data (other prediction)
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GenericScenariosRadio
alice_begemot_nlu_factors: 13
Word LSTM trained on quasar toloka data (radio prediction)
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GenericScenariosSearch
alice_begemot_nlu_factors: 14
Word LSTM trained on quasar toloka data (search prediction)
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GenericScenariosTaxi
alice_begemot_nlu_factors: 15
Word LSTM trained on quasar toloka data (taxi prediction)
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GenericScenariosTellSomething
alice_begemot_nlu_factors: 16
Word LSTM trained on quasar toloka data (tell_something prediction)
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GenericScenariosTimeTables
alice_begemot_nlu_factors: 17
Word LSTM trained on quasar toloka data (time_tables prediction)
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GenericScenariosTolokaGc
alice_begemot_nlu_factors: 18
Word LSTM trained on quasar toloka data (toloka_gc prediction)
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GenericScenariosTranslate
alice_begemot_nlu_factors: 19
Word LSTM trained on quasar toloka data (translate prediction)
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GenericScenariosVideo
alice_begemot_nlu_factors: 20
Word LSTM trained on quasar toloka data (video prediction)
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GenericScenariosWeather
alice_begemot_nlu_factors: 21
Word LSTM trained on quasar toloka data (weather prediction)
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GenericScenariosV2QuasarAlarmsTimers
alice_begemot_nlu_factors: 22
Word LSTM trained on quasar toloka data (alarms_timers prediction)
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GenericScenariosV2QuasarCommands
alice_begemot_nlu_factors: 23
Word LSTM trained on quasar toloka data (commands prediction)
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GenericScenariosV2QuasarFairyTails
alice_begemot_nlu_factors: 24
Word LSTM trained on quasar toloka data (fairy_tails prediction)
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GenericScenariosV2QuasarGamesSkills
alice_begemot_nlu_factors: 25
Word LSTM trained on quasar toloka data (games_skills prediction)
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GenericScenariosV2QuasarGeo
alice_begemot_nlu_factors: 26
Word LSTM trained on quasar toloka data (geo prediction)
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GenericScenariosV2QuasarInfoRequest
alice_begemot_nlu_factors: 27
Word LSTM trained on quasar toloka data (info_request prediction)
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GenericScenariosV2QuasarIot
alice_begemot_nlu_factors: 28
Word LSTM trained on quasar toloka data (iot prediction)
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GenericScenariosV2QuasarMarket
alice_begemot_nlu_factors: 29
Word LSTM trained on quasar toloka data (market prediction)
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GenericScenariosV2QuasarMusic
alice_begemot_nlu_factors: 30
Word LSTM trained on quasar toloka data (music prediction)
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GenericScenariosV2QuasarNewFunctionality
alice_begemot_nlu_factors: 31
Word LSTM trained on quasar toloka data (new_functionality prediction)
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GenericScenariosV2QuasarNews
alice_begemot_nlu_factors: 32
Word LSTM trained on quasar toloka data (news prediction)
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GenericScenariosV2QuasarOntofacts
alice_begemot_nlu_factors: 33
Word LSTM trained on quasar toloka data (ontofacts prediction)
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GenericScenariosV2QuasarOther
alice_begemot_nlu_factors: 34
Word LSTM trained on quasar toloka data (other prediction)
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GenericScenariosV2QuasarPlayerCommands
alice_begemot_nlu_factors: 35
Word LSTM trained on quasar toloka data (player_commands prediction)
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GenericScenariosV2QuasarRadio
alice_begemot_nlu_factors: 36
Word LSTM trained on quasar toloka data (radio prediction)
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GenericScenariosV2QuasarSoundCommands
alice_begemot_nlu_factors: 37
Word LSTM trained on quasar toloka data (sound_commands prediction)
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GenericScenariosV2QuasarTaxi
alice_begemot_nlu_factors: 38
Word LSTM trained on quasar toloka data (taxi prediction)
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GenericScenariosV2QuasarTellJoke
alice_begemot_nlu_factors: 39
Word LSTM trained on quasar toloka data (tell_joke prediction)
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GenericScenariosV2QuasarTellSomething
alice_begemot_nlu_factors: 40
Word LSTM trained on quasar toloka data (tell_something prediction)
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GenericScenariosV2QuasarTolokaGc
alice_begemot_nlu_factors: 41
Word LSTM trained on quasar toloka data (toloka_gc prediction)
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GenericScenariosV2QuasarTranslate
alice_begemot_nlu_factors: 42
Word LSTM trained on quasar toloka data (translate prediction)
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GenericScenariosV2QuasarTvIntents
alice_begemot_nlu_factors: 43
Word LSTM trained on quasar toloka data (tv_intents prediction)
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GenericScenariosV2QuasarVideo
alice_begemot_nlu_factors: 44
Word LSTM trained on quasar toloka data (video prediction)
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GenericScenariosV2QuasarVinsIntents
alice_begemot_nlu_factors: 45
Word LSTM trained on quasar toloka data (vins_intents prediction)
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GenericScenariosV2QuasarWeather
alice_begemot_nlu_factors: 46
Word LSTM trained on quasar toloka data (weather prediction)
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TolokaMisicWordLSTM
alice_begemot_query_factors: 0
Word LSTM traind on toloka data (music_play prediction)
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TolokaVideoWordLSTM
alice_begemot_query_factors: 1
Word LSTM traind on toloka data (video_play prediction)
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ScenariosMusicWordLSTM
alice_begemot_query_factors: 2
Word LSTM traind on scenarios (VINS) data (music_play prediction)
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ScenariosVideoWordLSTM
alice_begemot_query_factors: 3
Word LSTM traind on scenarios (VINS) data (video_play prediction)
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HasVideoAction
alice_begemot_query_factors: 4
Result of CustomEntities rule has video_action entity
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HasTVGenre
alice_begemot_query_factors: 5
Result of CustomEntities rule has tv_genere entity
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HasMarketVendor
alice_begemot_query_factors: 6
Result of CustomEntities rule has market_vendor entity
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HasTVChannelSuggest
alice_begemot_query_factors: 7
Result of CustomEntities rule has channel_suggest entity
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HasRewindType
alice_begemot_query_factors: 8
Result of CustomEntities rule has rewind_type entity
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HasVideoProvider
alice_begemot_query_factors: 9
Result of CustomEntities rule has video_provider entity
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HasLanguage
alice_begemot_query_factors: 10
Result of CustomEntities rule has language entity
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HasNewsTopic
alice_begemot_query_factors: 11
Result of CustomEntities rule has news_topic entity
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HasRouteActionType
alice_begemot_query_factors: 12
Result of CustomEntities rule has route_action_type entity
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HasNum
alice_begemot_query_factors: 13
Result of FstNum rule is not empty
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HasAlbum
alice_begemot_query_factors: 14
Result of FstAlbum rule is not empty
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HasPlayerType
alice_begemot_query_factors: 15
Result of CustomEntities rule has player_type entity
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HasVideoFilmGenre
alice_begemot_query_factors: 16
Result of CustomEntities rule has video_film_genre entity
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HasSoft
alice_begemot_query_factors: 17
Result of FstSoft rule is not empty
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HasAmbientSound
alice_begemot_query_factors: 18
Result of CustomEntities rule has ambient_sound entity
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HasEntityFilmSubject
alice_begemot_query_factors: 19
Result of EntityFinder rule has fb:film.film_subject entity
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HasEntityAwardWinningWork
alice_begemot_query_factors: 20
Result of EntityFinder rule has fb:award.award_winning_work entity
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HasEntityFilm
alice_begemot_query_factors: 21
Result of EntityFinder rule has film entity
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HasEntityMusicArtist
alice_begemot_query_factors: 22
Result of EntityFinder rule has fb:music.artist entity
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GotoVideoScreenIsRecognizable
alice_begemot_query_factors: 23
Result of Granet rule has form for goto_video_screen intent
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PaymentConfirmedIsRecognizable
alice_begemot_query_factors: 24
Result of Granet rule has form for payment_confirmed intent
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OpenCurrentVideoIsRecognizable
alice_begemot_query_factors: 26
Result of Granet rule has form for open_current_video intent
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TolokaSearchWordLSTM
alice_begemot_query_factors: 27
Word LSTM traind on toloka data (search prediction)
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ScenariosSearchWordLSTM
alice_begemot_query_factors: 28
Word LSTM traind on scenarios (VINS) data (search prediction)
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TolokaFairyTaleWordLSTM
alice_begemot_query_factors: 29
Word LSTM trained on toloka data (music_fairy_tale prediction)
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ScenariosFairyTaleWordLSTM
alice_begemot_query_factors: 30
Word LSTM trained on scenarios (VINS) data (music_fairy_tale prediction)
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FairyTaleIsRecognizable
alice_begemot_query_factors: 31
Result of Granet rule has form for music_fairy_tale intent
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TolokaAmbientSoundWordLSTM
alice_begemot_query_factors: 32
Word LSTM trained on toloka data (music_ambient_sound prediction)
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ScenariosAmbientSoundWordLSTM
alice_begemot_query_factors: 33
Word LSTM trained on scenarios (VINS) data (music_ambient_sound prediction)
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AmbientSoundIsRecognizable
alice_begemot_query_factors: 34
Result of Granet rule has form for music_ambient_sound intent
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TolokaRadioWordLSTM
alice_begemot_query_factors: 35
Word LSTM trained on toloka data (radio_play prediction)
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ScenariosRadioWordLSTM
alice_begemot_query_factors: 36
Word LSTM trained on scenarios (VINS) data (radio_play prediction)
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RadioIsRecognizable
alice_begemot_query_factors: 37
Result of Granet rule has form for radio_play intent
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AlarmGeneralIsRecognizable
alice_begemot_query_factors: 38
Result of Granet rule has form for alarm_general intent
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AlarmSetSoundIsRecognizable
alice_begemot_query_factors: 39
Result of Granet rule has form for alarm_set_sound intent
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AlarmSetWithSoundIsRecognizable
alice_begemot_query_factors: 40
Result of Granet rule has form for alarm_set_with_sound intent
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TranslationIsRecognizable
alice_begemot_query_factors: 41
Result of Granet rule has form for translation intent
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HowMuchIsRecognizable
alice_begemot_query_factors: 42
Result of Granet rule has form for how_much intent
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TvStreamIsRecognizable
alice_begemot_query_factors: 43
Result of Granet rule has form for tv_stream intent
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PlayerRewindIsRecognizable
alice_begemot_query_factors: 44
Result of Granet rule has form for player_rewind intent
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PlayerShuffleIsRecognizable
alice_begemot_query_factors: 45
Result of Granet rule has form for player_shuffle intent
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PlayerReplayIsRecognizable
alice_begemot_query_factors: 46
Result of Granet rule has form for player_replay intent
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GetNewsIsRecognizable
alice_begemot_query_factors: 47
Result of Granet rule has form for get_news intent
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GetFreeNewsIsRecognizable
alice_begemot_query_factors: 48
Result of Granet rule has form for get_free_news intent
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CreateReminderIsRecognizable
alice_begemot_query_factors: 49
Result of Granet rule has form for create_reminder intent
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GetWeatherIsRecognizable
alice_begemot_query_factors: 50
Result of Granet rule has form for get_weather intent
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SelectVideoByNumIsRecognizable
alice_begemot_query_factors: 51
Result of Granet rule has form for select_video_by_number
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MusicPodcastIsRecognizable
alice_begemot_query_factors: 52
Result of Granet rule has form for music_podcast intent
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MusicKeyWordsDetected
alice_begemot_query_factors: 53
Result of Granet rule has form for music key words
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SingSongIsRecognizable
alice_begemot_query_factors: 54
Result of Granet rule has form for music_sing_song
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ScenariosSingSongWordLSTM
alice_begemot_query_factors: 55
Word LSTM trained on scenarios (VINS) data (music_sing_song prediction)
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TolokaSingSongWordLSTM
alice_begemot_query_factors: 56
Word LSTM trained on toloka data (music_sing_song prediction)
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ScenariosFindPoiWordLSTM
alice_begemot_query_factors: 57
Word LSTM trained on scenarios (VINS) data (find_poi prediction)
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TolokaFindPoiWordLSTM
alice_begemot_query_factors: 58
Word LSTM trained on toloka data (find_poi prediction)
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ScenariosOpenSiteOrAppWordLSTM
alice_begemot_query_factors: 59
Word LSTM trained on scenarios (VINS) data (open_site_or_app prediction)
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TolokaOpenSiteOrAppWordLSTM
alice_begemot_query_factors: 60
Word LSTM trained on toloka data (open_site_or_app prediction)
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ScenariosHowMuchWordLSTM
alice_begemot_query_factors: 61
Word LSTM trained on scenarios (VINS) data (how_much prediction)
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TolokaHowMuchWordLSTM
alice_begemot_query_factors: 62
Word LSTM trained on toloka data (how_much prediction)
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ScenariosTranslateWordLSTM
alice_begemot_query_factors: 63
Word LSTM trained on scenarios (VINS) data (translate prediction)
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TolokaTranslateWordLSTM
alice_begemot_query_factors: 64
Word LSTM trained on toloka data (translate prediction)
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ScenariosTvBroadcastWordLSTM
alice_begemot_query_factors: 65
Word LSTM trained on scenarios (VINS) data (tv_broadcast prediction)
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TolokaTvBroadcastWordLSTM
alice_begemot_query_factors: 66
Word LSTM trained on toloka data (tv_broadcast prediction)
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ScenariosConvertWordLSTM
alice_begemot_query_factors: 67
Word LSTM trained on scenarios (VINS) data (convert prediction)
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TolokaConvertWordLSTM
alice_begemot_query_factors: 68
Word LSTM trained on toloka data (convert prediction)
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ScenariosPlayerDislikeWordLSTM
alice_begemot_query_factors: 69
Word LSTM trained on scenarios (VINS) data (player_dislike prediction)
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ScenariosCreateReminderWordLSTM
alice_begemot_query_factors: 70
Word LSTM trained on scenarios (VINS) data (create_reminder prediction)
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TolokaCreateReminderWordLSTM
alice_begemot_query_factors: 71
Word LSTM trained on toloka data (create_reminder prediction)
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ScenariosTvStreamWordLSTM
alice_begemot_query_factors: 72
Word LSTM trained on scenarios (VINS) data (tv_stream prediction)
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TolokaTvStreamWordLSTM
alice_begemot_query_factors: 73
Word LSTM trained on toloka data (tv_stream prediction)
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ScenariosReciteAPoemWordLSTM
alice_begemot_query_factors: 74
Word LSTM trained on scenarios (VINS) data (recite_a_poem prediction)
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TolokaReciteAPoemWordLSTM
alice_begemot_query_factors: 75
Word LSTM trained on toloka data (recite_a_poem prediction)
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MusicPlayTrustedSlotValue
alice_begemot_query_factors: 76
Result has frame containing slots with trusted values only and no other unexpected slots
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GcDssmClassifier
alice_begemot_query_factors: 77
Gc DSSM classifier distilled from BERT
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PlayerDislikeIsRecognizable
alice_begemot_query_factors: 78
Result of Granet rule has form for player_dislike
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FactsBinaryClassifier
alice_begemot_query_factors: 79
Word LSTM trained on factoid markup from toloka
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Microintents
alice_begemot_query_factors: 80
Filled frames found useful for classification
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MoovieSuggestDecline
alice_begemot_query_factors: 81
Filled frames found useful for classification
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MusicContinue
alice_begemot_query_factors: 82
Filled frames found useful for classification
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MusicDiscuss
alice_begemot_query_factors: 83
Filled frames found useful for classification
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QuasarViseoPlayText
alice_begemot_query_factors: 84
Filled frames found useful for classification
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GetWeatherPressureEllipsis
alice_begemot_query_factors: 85
Filled frames found useful for classification
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GetWeatherTemperature
alice_begemot_query_factors: 86
Filled frames found useful for classification
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GetWeatherTemperatureEllipsis
alice_begemot_query_factors: 87
Filled frames found useful for classification
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GetWeatherWindEllipsis
alice_begemot_query_factors: 88
Filled frames found useful for classification
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SearchRelatedAgree
alice_begemot_query_factors: 89
Filled frames found useful for classification
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TimeCapsuleInterruptConfirm
alice_begemot_query_factors: 90
Filled frames found useful for classification
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VideoRaterQuit
alice_begemot_query_factors: 91
Filled frames found useful for classification
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VideoRaterRate
alice_begemot_query_factors: 92
Filled frames found useful for classification
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WiaDetectionShinyserpUnethical
alice_begemot_query_factors: 93
Filled frames found useful for classification
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ZenContextSearch
alice_begemot_query_factors: 94
Filled frames found useful for classification
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PaAlarmAskTime
alice_begemot_query_factors: 95
Filled frames found useful for classification
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PaAlarmCancelEllipsis
alice_begemot_query_factors: 96
Filled frames found useful for classification
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PaAlarmFallback
alice_begemot_query_factors: 97
Filled frames found useful for classification
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PaAlarmStopPlaying
alice_begemot_query_factors: 98
Filled frames found useful for classification
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PaFastCommandFastContinue
alice_begemot_query_factors: 99
Filled frames found useful for classification
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PaFastCommandFastNextTrack
alice_begemot_query_factors: 100
Filled frames found useful for classification
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PaGetNewsPrevious
alice_begemot_query_factors: 101
Filled frames found useful for classification
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PaGetWeatherEllipsis
alice_begemot_query_factors: 102
Filled frames found useful for classification
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PaMorningShowGoodMorning
alice_begemot_query_factors: 103
Filled frames found useful for classification
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PaPlayerContinue
alice_begemot_query_factors: 104
Filled frames found useful for classification
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PaPlayerLike
alice_begemot_query_factors: 105
Filled frames found useful for classification
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PaPlayerNextTrack
alice_begemot_query_factors: 106
Filled frames found useful for classification
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PaPlayerOpenOrContinue
alice_begemot_query_factors: 107
Filled frames found useful for classification
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PaPlayerPause
alice_begemot_query_factors: 108
Filled frames found useful for classification
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PaPlayerRepeat
alice_begemot_query_factors: 109
Filled frames found useful for classification
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PaSoundQuiterInContext
alice_begemot_query_factors: 110
Filled frames found useful for classification
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PaSoundLouderInContext
alice_begemot_query_factors: 111
Filled frames found useful for classification
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PaSoundSetLevelInContext
alice_begemot_query_factors: 112
Filled frames found useful for classification
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BannedDirect
alice_begemot_query_factors: 113
Filled frames found useful for classification
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ExternalSkillFlashBriefingNext
alice_begemot_query_factors: 114
Filled frames found useful for classification
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FixlistGcRequestBanlist
alice_begemot_query_factors: 115
Filled frames found useful for classification
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GameSuggestConfirm
alice_begemot_query_factors: 116
Filled frames found useful for classification
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GeneralConversationForceExit
alice_begemot_query_factors: 117
Filled frames found useful for classification
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GenerativeTaleStop
alice_begemot_query_factors: 118
Filled frames found useful for classification
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GoodsBestPricesReaskTagger
alice_begemot_query_factors: 119
Filled frames found useful for classification
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ActivatedBySpotter
alice_device_state: 25
Client was activated by spotter
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ActivatedByButton
alice_device_state: 26
Client was activated by button
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ActivatedByAutoListening
alice_device_state: 27
Client was activated by auto listening
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ActivatedByDirective
alice_device_state: 28
Client was activated by directive
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ActivatedByAutoActivation
alice_device_state: 29
Client was activated by auto activation ## TODO(flimsywhimsy): Figure out what 'auto activation' is
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QueryInDirectOfferMax
alice_direct_scenario: 0
Max percent of query words in DirectOffer
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QueryInDirectOfferMean
alice_direct_scenario: 1
Mean percent of query words in DirectOffer
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QueryInDirectOfferMin
alice_direct_scenario: 2
Min percent of query words in DirectOffer
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DirectOfferInQueryMax
alice_direct_scenario: 3
Max percent of DirectOffer words in query
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DirectOfferInQueryMean
alice_direct_scenario: 4
Mean percent of DirectOffer words in query
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DirectOfferInQueryMin
alice_direct_scenario: 5
Min percent of DirectOffer words in query
|
QueryInDirectOfferPrefixMax
alice_direct_scenario: 6
Max percent of query words in DirectOffer prefix (query length)
|
QueryInDirectOfferPrefixMean
alice_direct_scenario: 7
Mean percent of query words in DirectOffer prefix (query length)
|
QueryInDirectOfferPrefixMin
alice_direct_scenario: 8
Min percent of query words in DirectOffer prefix (query length)
|
QueryInDirectOfferDoublePrefixMax
alice_direct_scenario: 9
Max percent of query words in DirectOffer prefix (2X query length)
|
QueryInDirectOfferDoublePrefixMean
alice_direct_scenario: 10
Mean percent of query words in DirectOffer prefix (2X query length)
|
QueryInDirectOfferDoublePrefixMin
alice_direct_scenario: 11
Min percent of query words in DirectOffer prefix (2X query length)
|
QueryInDirectTitleMax
alice_direct_scenario: 12
Max percent of query words in DirectTitle
|
QueryInDirectTitleMean
alice_direct_scenario: 13
Mean percent of query words in DirectTitle
|
QueryInDirectTitleMin
alice_direct_scenario: 14
Min percent of query words in DirectTitle
|
DirectTitleInQueryMax
alice_direct_scenario: 15
Max percent of DirectTitle words in query
|
DirectTitleInQueryMean
alice_direct_scenario: 16
Mean percent of DirectTitle words in query
|
DirectTitleInQueryMin
alice_direct_scenario: 17
Min percent of DirectTitle words in query
|
QueryInDirectTitlePrefixMax
alice_direct_scenario: 18
Max percent of query words in DirectTitle prefix (query length)
|
QueryInDirectTitlePrefixMean
alice_direct_scenario: 19
Mean percent of query words in DirectTitle prefix (query length)
|
QueryInDirectTitlePrefixMin
alice_direct_scenario: 20
Min percent of query words in DirectTitle prefix (query length)
|
QueryInDirectTitleDoublePrefixMax
alice_direct_scenario: 21
Max percent of query words in DirectTitle prefix (2X query length)
|
QueryInDirectTitleDoublePrefixMean
alice_direct_scenario: 22
Mean percent of query words in DirectTitle prefix (2X query length)
|
QueryInDirectTitleDoublePrefixMin
alice_direct_scenario: 23
Min percent of query words in DirectTitle prefix (2X query length)
|
QueryInDirectInfoMax
alice_direct_scenario: 24
Max percent of query words in DirectInfo
|
QueryInDirectInfoMean
alice_direct_scenario: 25
Mean percent of query words in DirectInfo
|
QueryInDirectInfoMin
alice_direct_scenario: 26
Min percent of query words in DirectInfo
|
DirectInfoInQueryMax
alice_direct_scenario: 27
Max percent of DirectInfo words in query
|
DirectInfoInQueryMean
alice_direct_scenario: 28
Mean percent of DirectInfo words in query
|
DirectInfoInQueryMin
alice_direct_scenario: 29
Min percent of DirectInfo words in query
|
QueryInDirectInfoPrefixMax
alice_direct_scenario: 30
Max percent of query words in DirectInfo prefix (query length)
|
QueryInDirectInfoPrefixMean
alice_direct_scenario: 31
Mean percent of query words in DirectInfo prefix (query length)
|
QueryInDirectInfoPrefixMin
alice_direct_scenario: 32
Min percent of query words in DirectInfo prefix (query length)
|
QueryInDirectInfoDoublePrefixMax
alice_direct_scenario: 33
Max percent of query words in DirectInfo prefix (2X query length)
|
QueryInDirectInfoDoublePrefixMean
alice_direct_scenario: 34
Mean percent of query words in DirectInfo prefix (2X query length)
|
QueryInDirectInfoDoublePrefixMin
alice_direct_scenario: 35
Min percent of query words in DirectInfo prefix (2X query length)
|
GCDssmScoreFactor
alice_gc_scenario: 0
query-reply dssm score from gc
|
GCIsSeq2SeqReplyFactor
alice_gc_scenario: 1
is seq2seq reply from gc
|
MusicWizardPosDCG
alice_music_scenario: 0
DCG of music wizard position
|
QueryInResultTrackNameRatio
alice_music_scenario: 1
Percent of query words in result track name
|
ResultTrackNameInQueryRatio
alice_music_scenario: 2
Percent of result track name words in query
|
QueryInResultAlbumNameRatio
alice_music_scenario: 3
Percent of query words in result album name
|
ResultAlbumNameInQueryRatio
alice_music_scenario: 4
Percent of result album name words in query
|
QueryInResultArtistNameRatio
alice_music_scenario: 5
Percent of query words in result artist name
|
ResultArtistNameInQueryRatio
alice_music_scenario: 6
Percent of result artist name words in query
|
QueryInWizardTitleRatio
alice_music_scenario: 7
Percent of query words in wizard title
|
WizardTitleInQueryRatio
alice_music_scenario: 8
Percent of wizard title words in query
|
QueryInWizardTrackNameRatio
alice_music_scenario: 9
Percent of query words in wizard track name
|
WizardTrackNameInQueryRatio
alice_music_scenario: 10
Percent of wizard track name words in query
|
QueryInWizardAlbumNameRatio
alice_music_scenario: 11
Percent of query words in wizard album name
|
WizardAlbumNameInQueryRatio
alice_music_scenario: 12
Percent of wizard album name words in query
|
QueryInWizardArtistNameRatio
alice_music_scenario: 13
Percent of query words in wizard artist name
|
WizardArtistNameInQueryRatio
alice_music_scenario: 14
Percent of wizard artist name words in query
|
QueryInWizardTrackLyricsRatio
alice_music_scenario: 15
Percent of query words in wizard track lyrics
|
WizardTrackLyricsInQueryRatio
alice_music_scenario: 16
Percent of wizard track lyrics words in query
|
QueryInDocumentsTitleRatioMin
alice_music_scenario: 17
Min percent of query words in documents title
|
QueryInDocumentsTitleRatioMean
alice_music_scenario: 18
Mean percent of query words in documents title
|
QueryInDocumentsTitleRatioMax
alice_music_scenario: 19
Max percent of query words in documents title
|
DocumentsTitleInQueryRatioMin
alice_music_scenario: 20
Min percent of documents title words in query
|
DocumentsTitleInQueryRatioMean
alice_music_scenario: 21
Mean percent of documents title words in query
|
DocumentsTitleInQueryRatioMax
alice_music_scenario: 22
Max percent of documents title words in query
|
QueryInDocumentsSnippetRatioMin
alice_music_scenario: 23
Min percent of query words in documents snippet
|
QueryInDocumentsSnippetRatioMean
alice_music_scenario: 24
Mean percent of query words in documents snippet
|
QueryInDocumentsSnippetRatioMax
alice_music_scenario: 25
Max percent of query words in documents snippet
|
DocumentsSnippetInQueryRatioMin
alice_music_scenario: 26
Min percent of documents snippet words in query
|
DocumentsSnippetInQueryRatioMean
alice_music_scenario: 27
Mean percent of documents snippet words in query
|
DocumentsSnippetInQueryRatioMax
alice_music_scenario: 28
Max percent of documents snippet words in query
|
QueryTokenMaxFreqMusic
alice_query_tokens_factors: 0
Max tokens frequency in music scenarios
|
QueryTokenMaxFreqVideo
alice_query_tokens_factors: 1
Max tokens frequency in video scenarios
|
QueryTokenAvgFreqMusic
alice_query_tokens_factors: 2
Average tokens frequency in music scenarios
|
QueryTokenAvgFreqVideo
alice_query_tokens_factors: 3
Average tokens frequency in video scenarios
|
QueryTokenMaxFreqMusicWHF
alice_query_tokens_factors: 4
Max tokens frequency in music scenarios (without high frequency tokens)
|
QueryTokenMaxFreqVideoWHF
alice_query_tokens_factors: 5
Max tokens frequency in video scenarios (without high frequency tokens)
|
QueryTokenAvgFreqMusicWHF
alice_query_tokens_factors: 6
Average tokens frequency in music scenarios (without high frequency tokens)
|
QueryTokenAvgFreqVideoWHF
alice_query_tokens_factors: 7
Average tokens frequency in video scenarios (without high frequency tokens)
|
QueryTokenMaxFreqVideoSelectFromGallery
alice_query_tokens_factors: 8
Max tokens frequency in video select from gallery scenario
|
QueryTokenAvgFreqVideoSelectFromGallery
alice_query_tokens_factors: 9
Avg tokens frequency in video select from gallery scenario
|
QueryTokenMaxFreqGC
alice_query_tokens_factors: 10
Max tokens frequency in general conversation scenarios
|
QueryTokenAvgFreqGC
alice_query_tokens_factors: 11
Avg tokens frequency in general conversation scenarios
|
QueryTokenMaxFreqSearch
alice_query_tokens_factors: 12
Max tokens frequency in search scenarios
|
QueryTokenAvgFreqSearch
alice_query_tokens_factors: 13
Avg tokens frequency in search scenarios
|
QueryTokenMaxFreqOther
alice_query_tokens_factors: 14
Max tokens frequency in other scenarios
|
QueryTokenAvgFreqOther
alice_query_tokens_factors: 15
Avg tokens frequency in other scenarios
|
QueryTokenBigramsMaxFreqMusic
alice_query_tokens_factors: 16
Max tokens bigrams frequency in music scenarios
|
QueryTokenBigramsMaxFreqVideo
alice_query_tokens_factors: 17
Max tokens bigrams frequency in video scenarios
|
QueryTokenBigramsAvgFreqMusic
alice_query_tokens_factors: 18
Average tokens bigrams frequency in music scenarios
|
QueryTokenBigramsAvgFreqVideo
alice_query_tokens_factors: 19
Average tokens bigrams frequency in video scenarios
|
QueryTokenBigramsMaxFreqMusicWHF
alice_query_tokens_factors: 20
Max tokens bigrams frequency in music scenarios (without high frequency tokens)
|
QueryTokenBigramsMaxFreqVideoWHF
alice_query_tokens_factors: 21
Max tokens bigrams frequency in video scenarios (without high frequency tokens)
|
QueryTokenBigramsAvgFreqMusicWHF
alice_query_tokens_factors: 22
Average tokens bigrams frequency in music scenarios (without high frequency tokens)
|
QueryTokenBigramsAvgFreqVideoWHF
alice_query_tokens_factors: 23
Average tokens bigrams frequency in video scenarios (without high frequency tokens)
|
QueryTokenBigramsMaxFreqVideoSelectFromGallery
alice_query_tokens_factors: 24
Max tokens bigrams frequency in video select from gallery scenario
|
QueryTokenBigramsAvgFreqVideoSelectFromGallery
alice_query_tokens_factors: 25
Avg tokens bigrams frequency in video select from gallery scenario
|
QueryTokenBigramsMaxFreqGC
alice_query_tokens_factors: 26
Max tokens bigrams frequency in general conversation scenarios
|
QueryTokenBigramsAvgFreqGC
alice_query_tokens_factors: 27
Avg tokens bigrams frequency in general conversation scenarios
|
QueryTokenBigramsMaxFreqSearch
alice_query_tokens_factors: 28
Max tokens bigrams frequency in search scenarios
|
QueryTokenBigramsAvgFreqSearch
alice_query_tokens_factors: 29
Avg tokens bigrams frequency in search scenarios
|
QueryTokenBigramsMaxFreqOther
alice_query_tokens_factors: 30
Max tokens bigrams frequency in other scenarios
|
QueryTokenBigramsAvgFreqOther
alice_query_tokens_factors: 31
Avg tokens bigrams frequency in other scenarios
|
MusicWizardPosDCG
alice_search_scenario: 0
DCG of music wizard position
|
LyricsWizardPosDCG
alice_search_scenario: 1
DCG of lyrics wizard position
|
VideoWizardPosDCG
alice_search_scenario: 2
DCG of video wizard position
|
ImageWizardPosDCG
alice_search_scenario: 3
DCG of image wizard position
|
MusicHostsCount
alice_search_scenario: 4
Count of music hosts in search results
|
VideoHostsCount
alice_search_scenario: 5
Count of video hosts in search results
|
MusicHostsDCGAt1
alice_search_scenario: 6
DCG@1 of music hosts positions
|
VideoHostsDCGAt1
alice_search_scenario: 7
DCG@1 of video hosts positions
|
MusicHostsDCGAt5
alice_search_scenario: 8
DCG@5 of music hosts positions
|
VideoHostsDCGAt5
alice_search_scenario: 9
DCG@5 of music hosts positions
|
MusicHostsDCG
alice_search_scenario: 10
Overall DCG of music hosts positions
|
VideoHostsDCG
alice_search_scenario: 11
Overall DCG of video hosts positions
|
KinopoiskDCG
alice_search_scenario: 12
DCG of www.kinopoisk.ru site
|
IviDCG
alice_search_scenario: 13
DCG of www.ivi.ru site
|
RutubeDCG
alice_search_scenario: 14
DCG of rutube.ru site
|
ZvooqDCG
alice_search_scenario: 15
DCG of zvuch.com site
|
ZaycevDCG
alice_search_scenario: 16
DCG of zaycev.net site
|
YoutubeDCG
alice_search_scenario: 17
DCG of www.youtube.com site
|
WikipediaDCG
alice_search_scenario: 18
DCG of ru.wikipedia.org site
|
QueryInTitleMax
alice_search_scenario: 19
Max percent of query words in title
|
QueryInTitleMean
alice_search_scenario: 20
Mean percent of query words in title
|
QueryInTitleMin
alice_search_scenario: 21
Min percent of query words in title
|
TitleInQueryMax
alice_search_scenario: 22
Max percent of title words in query
|
TitleInQueryMean
alice_search_scenario: 23
Mean percent of title words in query
|
TitleInQueryMin
alice_search_scenario: 24
Min percent of title words in query
|
PrefixMax
alice_search_scenario: 25
Max percent of query words in title prefix (query length)
|
PrefixMean
alice_search_scenario: 26
Mean percent of query words in title prefix (query length)
|
PrefixMin
alice_search_scenario: 27
Min percent of query words in title prefix (query length)
|
DoublePrefixMax
alice_search_scenario: 28
Max percent of query words in title prefix (2X query length)
|
DoublePrefixMean
alice_search_scenario: 29
Mean percent of query words in title prefix (2X query length)
|
DoublePrefixMin
alice_search_scenario: 30
Min percent of query words in title prefix (2X query length)
|
QueryInHeadlineMax
alice_search_scenario: 31
Max percent of query words in headline
|
QueryInHeadlineMean
alice_search_scenario: 32
Mean percent of query words in headline
|
QueryInHeadlineMin
alice_search_scenario: 33
Min percent of query words in headline
|
HeadlineInQueryMax
alice_search_scenario: 34
Max percent of headline words in query
|
HeadlineInQueryMean
alice_search_scenario: 35
Mean percent of headline words in query
|
HeadlineInQueryMin
alice_search_scenario: 36
Min percent of headline words in query
|
HeadlinePrefixMax
alice_search_scenario: 37
Max percent of query words in headline prefix (query length)
|
HeadlinePrefixMean
alice_search_scenario: 38
Mean percent of query words in headline prefix (query length)
|
HeadlinePrefixMin
alice_search_scenario: 39
Min percent of query words in headline prefix (query length)
|
DoubleHeadlinePrefixMax
alice_search_scenario: 40
Max percent of query words in headline prefix (2X query length)
|
DoubleHeadlinePrefixMean
alice_search_scenario: 41
Mean percent of query words in headline prefix (2X query length)
|
DoubleHeadlinePrefixMin
alice_search_scenario: 42
Min percent of query words in headline prefix (2X query length)
|
FoundCalculatorFact
alice_search_scenario: 43
Search scenario will answer with calculator factoid
|
FoundSuggestFact
alice_search_scenario: 44
Search scenario will answer with suggest factoid
|
FoundEntityFact
alice_search_scenario: 45
Search scenario will answer with entity factoid
|
FoundCaloriesFact
alice_search_scenario: 46
Search scenario will answer with calories factoid
|
FoundConverterFact
alice_search_scenario: 47
Search scenario will answer with converter factoid
|
FoundTimeDifferenceFact
alice_search_scenario: 48
Search scenario will answer with time difference factoid
|
FoundDistanceFact
alice_search_scenario: 49
Search scenario will answer with distance factoid
|
FoundZipCodeFact
alice_search_scenario: 50
Search scenario will answer with zip code factoid
|
FoundSportLiveScoreFact
alice_search_scenario: 51
Search scenario will answer with sport live score factoid
|
FoundObjectAsFact
alice_search_scenario: 52
Search scenario will answer with object as factoid
|
FactFromWizplaces
alice_search_scenario: 53
Factoid for answer was taken from wizplaces
|
FactFromRightDocs
alice_search_scenario: 54
Factoid for answer was taken from right docs
|
FactFromDocs
alice_search_scenario: 55
Factoid for answer was taken from docs
|
ResponseWithSerp
alice_search_scenario: 56
Scenario will answer with serp
|
FactoidPosition
alice_search_scenario: 57
Position of factoid in docs
|
FoundTimeFact
alice_search_scenario: 58
Search scenario will answer with current time factoid
|
FoundSuggestFactDate
alice_search_scenario: 59
Search scenario will answer with current date factoid
|
TranslateWizardPosDCG
alice_search_scenario: 60
DCG of translate wizard position
|
WeatherWizardPosDCG
alice_search_scenario: 61
DCG of weather wizard position
|
ConverterWizardPosDCG
alice_search_scenario: 62
DCG of converter wizard position
|
MapsWizardPosDCG
alice_search_scenario: 63
DCG of maps wizard position
|
RoutesWizardPosDCG
alice_search_scenario: 64
DCG of routes wizard position
|
NewsWizardPosDCG
alice_search_scenario: 65
DCG of news wizard position
|
MarketWizardPosDCG
alice_search_scenario: 66
DCG of market wizard position
|
GeovWizardPosDCG
alice_search_scenario: 67
DCG of geov wizard position
|
TVHostDCG
alice_search_scenario: 68
DCG of tv.yandex.ru site
|
TVHostDCG5
alice_search_scenario: 69
DCG5 of tv.yandex.ru site
|
KinopoiskDCG5
alice_search_scenario: 70
DCG5 of www.kinopoisk.ru site
|
IviDCG5
alice_search_scenario: 71
DCG5 of www.ivi.ru site
|
RutubeDCG5
alice_search_scenario: 72
DCG5 of rutube.ru site
|
ZvooqDCG5
alice_search_scenario: 73
DCG5 of zvuch.com site
|
ZaycevDCG5
alice_search_scenario: 74
DCG5 of zaycev.net site
|
YoutubeDCG5
alice_search_scenario: 75
DCG5 of www.youtube.com site
|
WikipediaDCG5
alice_search_scenario: 76
DCG5 of ru.wikipedia.org site
|
MusicSnippetPosDCG
alice_search_scenario: 77
DCG of music snippet position
|
CompaniesSnippetPosDCG
alice_search_scenario: 78
DCG of companies snippet position
|
EntitySnippetPosDCG
alice_search_scenario: 79
DCG of entity snippet position
|
IsSearchVideo
alice_video_scenario: 0
SEARCH_VIDEO was selected by video scenario
|
IsSelectVideoFromGallery
alice_video_scenario: 1
SELECT_VIDEO_FROM_GALLERY was selected by video scenario
|
IsPaymentConfirmed
alice_video_scenario: 2
PAYMENT_CONFIRMED was selected by video scenario
|
IsAuthorizeProvider
alice_video_scenario: 3
AUTHORIZE_PROVIDER_CONFIRMED was selected by video scenario
|
IsOpenCurrentVideo
alice_video_scenario: 4
OPEN_CURRENT_VIDEO was selected by video scenario
|
IsGoToVideoScreen
alice_video_scenario: 5
GO_TO_VIDEO_SCREEN was selected by video scenario
|
IsGalleryEmpty
alice_video_scenario: 6
EMPTY_GALLERY attention from Bass
|
HasGoodResult
alice_video_scenario: 7
HAS_GOOD_RESULT attention from Bass
|
AreAllResultsFiltered
alice_video_scenario: 8
ARE_ALL_RESULTS_FILTERED attention from Bass
|
Autoplay
alice_video_scenario: 9
AUTOPLAY attention from Bass
|
Autoselect
alice_video_scenario: 10
AUTOSELECT attention from Bass
|
NoSuchSeason
alice_video_scenario: 11
NO_SUCH_SEASON attention from Bass
|
NoSuchEpisode
alice_video_scenario: 12
NO_SUCH_EPISODE attention from Bass
|
NonAuthorizedUser
alice_video_scenario: 13
NON_AUTHORIZED_USER attention from Bass
|
ItemSelectorConfidence
alice_video_scenario: 14
Confidence of item selector in current gallery
|
QueryInItemNameMax
alice_video_scenario: 15
Max percent of query words in ItemName
|
QueryInItemNameMean
alice_video_scenario: 16
Mean percent of query words in ItemName
|
QueryInItemNameMin
alice_video_scenario: 17
Min percent of query words in ItemName
|
ItemNameInQueryMax
alice_video_scenario: 18
Max percent of ItemName words in query
|
ItemNameInQueryMean
alice_video_scenario: 19
Mean percent of ItemName words in query
|
ItemNameInQueryMin
alice_video_scenario: 20
Min percent of ItemName words in query
|
QueryInItemNamePrefixMax
alice_video_scenario: 21
Max percent of query words in ItemName prefix (query length)
|
QueryInItemNamePrefixMean
alice_video_scenario: 22
Mean percent of query words in ItemName prefix (query length)
|
QueryInItemNamePrefixMin
alice_video_scenario: 23
Min percent of query words in ItemName prefix (query length)
|
QueryInItemNameDoublePrefixMax
alice_video_scenario: 24
Max percent of query words in ItemName prefix (2X query length)
|
QueryInItemNameDoublePrefixMean
alice_video_scenario: 25
Mean percent of query words in ItemName prefix (2X query length)
|
QueryInItemNameDoublePrefixMin
alice_video_scenario: 26
Min percent of query words in ItemName prefix (2X query length)
|
QueryInItemDescriptionMax
alice_video_scenario: 27
Max percent of query words in ItemDescription
|
QueryInItemDescriptionMean
alice_video_scenario: 28
Mean percent of query words in ItemDescription
|
QueryInItemDescriptionMin
alice_video_scenario: 29
Min percent of query words in ItemDescription
|
ItemDescriptionInQueryMax
alice_video_scenario: 30
Max percent of ItemDescription words in query
|
ItemDescriptionInQueryMean
alice_video_scenario: 31
Mean percent of ItemDescription words in query
|
ItemDescriptionInQueryMin
alice_video_scenario: 32
Min percent of ItemDescription words in query
|
QueryInItemDescriptionPrefixMax
alice_video_scenario: 33
Max percent of query words in ItemDescription prefix (query length)
|
QueryInItemDescriptionPrefixMean
alice_video_scenario: 34
Mean percent of query words in ItemDescription prefix (query length)
|
QueryInItemDescriptionPrefixMin
alice_video_scenario: 35
Min percent of query words in ItemDescription prefix (query length)
|
QueryInItemDescriptionDoublePrefixMax
alice_video_scenario: 36
Max percent of query words in ItemDescription prefix (2X query length)
|
QueryInItemDescriptionDoublePrefixMean
alice_video_scenario: 37
Mean percent of query words in ItemDescription prefix (2X query length)
|
QueryInItemDescriptionDoublePrefixMin
alice_video_scenario: 38
Min percent of query words in ItemDescription prefix (2X query length)
|
IsResponseEntity
alice_video_scenario: 39
Bass return entity response
|
ItemSelectorConfidenceByName
alice_video_scenario: 40
Confidence of item selector by name in current gallery
|
ItemSelectorConfidenceByNumber
alice_video_scenario: 41
Confidence of item selector by number in current gallery
|
FreshDetectorPredict
begemot_model_factors: 0
The value of the freshness detector calculated in the hippo. Always 0 with a detector value less than the threshold.
|
FreshNewsDetectorPredict
begemot_model_factors: 1
The value of the news detector calculated in the Hippo. Always 0 with a detector value less than the threshold.
|
PiracyDetectorPredict
begemot_model_factors: 2
The value of the pirate detector calculated in the hippo.
|
PayDetectorPredict
begemot_model_factors: 3
The value of the commerce detector calculated in the Hippo.
|
PayAppDetectorPredict
begemot_model_factors: 4
The value of the chopped commerce detector calculated in the hippo.
|
HpDetectorPredict
begemot_model_factors: 5
The value of the health detector calculated in the Hippo.
|
PurchaseTotalPredict
begemot_model_factors: 6
The value of Purchasetotalpredict, calculated in the Hippo.
|
SerpSummarySurplusPredict
begemot_model_factors: 7
The value of serpsummarysurpluspredict, calculated in the hippo.
|
RequestWith120D3ClickPartPredict
begemot_model_factors: 8
Requestwith120d3ClickpartPredict value, calculated in the Hippo.
|
HalfEcomPredict
begemot_model_factors: 9
The value of Halfecompredict, calculated in the Hippo.
|
QueryConversionDetectorPredict
begemot_model_factors: 10
The value of the conversion of the request calculated in the Hippo.
|
QueryNavParasitesDetectorPredict
begemot_model_factors: 11
The value of the requester detector of the parasites calculated in the hippo.
|
QueryAboutOneProductPredict
begemot_model_factors: 12
Classifier of one product in the request
|
QueryAboutManyProductsPredict
begemot_model_factors: 13
Classifier of several goods in the request
|
ProximaQueryDcg5Predict
begemot_model_factors: 14
The value of the Proxima DCG-5, calculated in the hippo.
|
IsFreshFlow
begemot_model_factors: 15
The request is fresh
|
DmozQueryThemes
begemot_query_factors: 1
The theme of the request determined ((http://wiki.yandex-team.ru/jandekspoisk/zarubezhnyjjinternet/dmozqueryClassifier1 The rule of the sorcerer Dmoztheme)), only a few of the most popular topics are taken into account.
|
DmozQueryBestTheme
begemot_query_factors: 2
The most likely theme of the request determined ((http://wiki.yandex-team.ru/jandekspoisk/zarubezhnyjjinternet/dmozqueryClassifier1 The rule of the sorcerer DmozTheme)), only the most popular topics are taken into account (but there are more than in the DMOZQUREMES factor). The factor contains the likelihood of a correspondence of the request of the theme, but for each topic, its own interval is taken on the segment [0..1]
|
PopularQ
begemot_query_factors: 3
The popularity of the request
|
QDiversity
begemot_query_factors: 4
The degree of centralization of the points from which the request is set
|
Diversity2
begemot_query_factors: 5
Geographical distribution of the request
|
HourDiversity
begemot_query_factors: 6
The severity of the querial tasks at different times of the day
|
AvgSessionLen
begemot_query_factors: 7
The average length of the logical session in which there was a request
|
Found
begemot_query_factors: 8
The average number of found on request
|
NightQuery
begemot_query_factors: 9
The request is set mainly at night
|
MorningQuery
begemot_query_factors: 10
The request is set mainly in the morning
|
DayQuery
begemot_query_factors: 11
The request is given mainly in the afternoon
|
EveningQuery
begemot_query_factors: 12
The request is set mainly in the evening
|
CountryPopularQ
begemot_query_factors: 13
The popularity of the request within the country
|
CountryQDiversity
begemot_query_factors: 14
The degree of centralization of the points from which the request is set (inside the country)
|
CountryQDiversity2
begemot_query_factors: 15
Geographical distribution of the request within the country
|
CountryHour
begemot_query_factors: 16
The hour at which this request is given the most
|
CountryHourDiversity
begemot_query_factors: 17
The degree of severity of the querial tasks at different times of the day (inside the country)
|
MusicQ
begemot_query_factors: 18
The musicality of the request. The results of the sorcerer Anton Konygin.
|
QueryNonCommerciality
begemot_query_factors: 19
The commercial request for the dictionary of phrases from Direct: 0 - maximum commercial, 1 - minimal.
|
QueryCommercialityMx
begemot_query_factors: 20
The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))
|
IsNavMxQuery
begemot_query_factors: 21
Rank 'navigation'
|
NonCommercialQuery
begemot_query_factors: 22
Binar non -profit request: Querynoncommerciality> 0.965.
|
PornoQuery
begemot_query_factors: 23
Are there any words from Yweb/Pornofilter/Porno.query.
|
XPornoQuery
begemot_query_factors: 24
Classifier of Porn Causions, another dictionary than Pornoquery
|
QBlog
begemot_query_factors: 25
Whether the request of blog vocabulary contains
|
IsNavQuery
begemot_query_factors: 26
Is the request for navigation, on the clicking of the answers
|
IsForeignQuery
begemot_query_factors: 27
Request is not in Russian
|
VideoQuery
begemot_query_factors: 28
Request about the video
|
GeoRegionalityU
begemot_query_factors: 29
Requestful factors - the result of work ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/georegionality classifier of geolocalization of the request)))))))))))))
|
GeoRegionalityR
begemot_query_factors: 30
R- Georelevan - regional results in the issuance could be useful, but nothing more
|
GeoRegionalityV
begemot_query_factors: 31
V- geovital - regional issuance is of fundamental importance
|
GeoRegionalityUNew
begemot_query_factors: 32
Requestful factors - the result of the work ((http://wiki.yandex-team.ru/poiskovajaplatforma/lingvistika/zaprosnyjefefactory/localizovannyjezaprosya classifier of the request of the request)) - a new version of factors [328] - [328] - [328]: u - u - u - u - u - u - uceleless sites the request is meaningless;
|
GeoRegionalityRNew
begemot_query_factors: 33
Запросные факторы - результат работы ((http://wiki.yandex-team.ru/PoiskovajaPlatforma/Lingvistika/ZaprosnyjeFactory/LocalizovannyjeZaprosy классификатора геолокализованности запроса)) - новая версия факторов [328]-[330]: R - георелевантные - региональные результаты в issuing could be useful, but nothing more;
|
GeoRegionalityVNew
begemot_query_factors: 34
Requestful factors - the result of the work ((http://wiki.yandex-team.ru/poiskovajaplatforma/lingvistika/zaprosnyjefefactory/localizovannyjezaprosy classifier of the request of the request)) - a new version of factors [328]: Vegetable fundamental importance.
|
RegNavQuery
begemot_query_factors: 35
Regional and navigation request - in the user region there are one or more navigation results on it
|
QueryThVideohosting
begemot_query_factors: 36
The result of the work of the lexical classifier of requests predicting the likelihood of click on the page 3973 page
|
QueryThEncyclopedic
begemot_query_factors: 37
The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561
|
QrTur
begemot_query_factors: 38
The prediction of the share of “good” (at least two different cities and frequency> = 10) references to the request with geography in Turkey
|
NearbyQuery
begemot_query_factors: 39
When responding to a request, the results are important in close proximity ([pharmacies], [children's clinic])
|
CityQuery
begemot_query_factors: 40
When answering a request, the results within the city are important (the bulk of localized queries)
|
AdmQuery
begemot_query_factors: 41
When responding to a request, the results from the region, the region of the user ([airport], [dairy]) are important
|
IsGeo
begemot_query_factors: 42
It launches on the basic search under the name ISGEO the maximum weight of the meters of the gelator in the request. A geo-object is understood as an object of the category GEO, Geo1, Geoaddr, Geoaddr1, Landmark, Landmark1 (see ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects kaovsky allocation))))))))))))))))))))))))))))))). wiki.yandex-team.ru/arsengadzhikurbanov/wares Read more))
|
IsMusic
begemot_query_factors: 43
It launches on the basic searches under the name ISMUSIC the maximum weight of the Music or Music1 category met in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees more))))))))))))))))))))))
|
IsOrg
begemot_query_factors: 44
The request is the name of the organization (example: Gazprom, Gazprom) ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees Description))
|
IsHum
begemot_query_factors: 45
It launches on the basic search under the name ISHUM the maximum weight of the enclosed object of the Hum or Hum1 category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ishum more)))))
|
IsText
begemot_query_factors: 46
It launches on the basic search under the name ISTEXT the maximum weight of the TEXT or Text1 category of the category of the category met in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#istext more)))
|
IsPicture
begemot_query_factors: 47
It launches on the basic search under the name Ispicture the maximum weight of the Picture or Picture1 category of the category of the category of the category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ispicture))))))))))))))))))
|
MinOne
begemot_query_factors: 48
Returns the maximum degree of household objects in the request under the name Wminone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#minone more)))))
|
MaxOne
begemot_query_factors: 49
Returns the maximum degree of household objects in the request under the name Wmaxone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#maxone more)))))))
|
CountryQueryRegionality
begemot_query_factors: 50
Country classifier of localization - how much the request implies the context of the country
|
QClassDownload
begemot_query_factors: 51
= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen
|
QClassBrandnames
begemot_query_factors: 52
The result of the classifier of the request - in the request there are words from the corresponding dictionary. brand
|
QClassDisease
begemot_query_factors: 53
Medication Dictionary
|
QClassKak
begemot_query_factors: 54
question
|
QClassMoscow
begemot_query_factors: 55
Specific request for Moscow
|
QClassOAO
begemot_query_factors: 56
organization
|
QClassPorno
begemot_query_factors: 57
porn
|
QClassTravel
begemot_query_factors: 58
trips
|
DiversityCategNeedPhoto
begemot_query_factors: 59
0 or 1, depending on the presence in the request of the clearly expressed intent Need_photo from the variety
|
DiversityCategNeedMap
begemot_query_factors: 60
0 or 1, depending on the presence in the request of the clearly expressed intent Need_map from the variety
|
DiversityCategDownload
begemot_query_factors: 61
0 or 1 - whether the request is matured by the tickt
|
DiversityCategReview
begemot_query_factors: 62
0 or 1 - whether the request is matured by the tickt
|
DiversityCategWatch
begemot_query_factors: 63
0 or 1 - whether the request is matured by the tickt
|
HasMisspell
begemot_query_factors: 64
There is a typo in the request
|
ErratumLogQueryProbability
begemot_query_factors: 65
Double logarithm of the probability of a request for a language model of the Erratum typo service
|
MisspellLmNgrYandexDirectOriginal
begemot_query_factors: 66
Summary Skorov words of a request for a language model 3GRAMS-YANDEX-DIRECT.
|
MisspellLmRtlNgrWebMtOriginal
begemot_query_factors: 67
Summary of the Skorov words of the request by the Web-Mt language model.
|
YabarWordDepthNodesGradientMin
begemot_query_factors: 68
The angle in the Depth Nodes space, counted only by words (min for all)
|
FractionOfQueriesWithGeoPredicted
begemot_query_factors: 69
Prediction of a share of requests with geography on a bag of words built for request
|
IsLocalProbability
begemot_query_factors: 70
The value of the classifier of localization for request
|
IsExactUrl
begemot_query_factors: 71
The request is a Urle with an accuracy of the points and testing characters - the ISURL sorcerer's rule is used
|
IsRelevLocaleRU
begemot_query_factors: 72
Relev_locale == ru
|
IsRelevLocaleUA
begemot_query_factors: 73
Relev_locale == ua
|
IsRelevLocaleBY
begemot_query_factors: 74
relev_locale == by
|
IsRelevLocaleKZ
begemot_query_factors: 75
relev_locale == kz
|
IsRelevLocaleTR
begemot_query_factors: 76
relev_locale == tr
|
IsRelevLocaleID
begemot_query_factors: 77
relev_locale == id
|
IsRelevLocaleWORLD
begemot_query_factors: 78
relev_locale == world
|
HasPornoQuery
begemot_query_factors: 79
The result of the work of Adult Rules for the Sorcerer.
|
QClassPornoVw
begemot_query_factors: 80
Porn query classification result from Wizard (iad_vw flag, based on Vowpal Wabbit)
|
DssmVkPopularity
begemot_query_factors: 81
The probability that the VK.com host is popular for this request in accordance with the corresponding DSSM model.
|
DssmOnlinerPopularity
begemot_query_factors: 82
The probability that the Onliner.by host is popular for this request according to the corresponding DSSM model.
|
DssmRamblerPopularity
begemot_query_factors: 83
The probability that the Rambler.ru host is popular for this request in accordance with the corresponding DSSM model.
|
DssmExpertcenPopularity
begemot_query_factors: 84
The likelihood that the ExpertCen.ru host is popular for this request in accordance with the corresponding DSSM model.
|
DssmSunhomePopularity
begemot_query_factors: 85
The probability that the Sunhome.ru host is popular for this request according to the corresponding DSSM model.
|
RandomLogQueryAvgNews
begemot_query_factors: 86
The average value of News for the year. It is calculated in offline.
|
RandomLogQueryAvgAddTime
begemot_query_factors: 87
ADDTIME average value for the year. It is calculated in offline.
|
RandomLogQueryAvgTxtHiRelSy
begemot_query_factors: 88
The average value of TXTHIRELSY for the year. It is calculated in offline.
|
RandomLogQueryAvgTextLike
begemot_query_factors: 89
The average TEXTLIKE value is for the year. It is calculated in offline.
|
RandomLogQueryAvgHasNoAllWordsTRSy
begemot_query_factors: 90
The average Hasnoallwordstersy value for the year. It is calculated in offline.
|
RandomLogQueryAvgIsForum
begemot_query_factors: 91
The average value of ISFORUM for the year. It is calculated in offline.
|
RandomLogQueryAvgHasPayments
begemot_query_factors: 92
The average value of Haspayments for the year. It is calculated in offline.
|
RandomLogQueryAvgYabarHostAvgTime2
begemot_query_factors: 93
The average value is Yabarhostavgtime2 for the year. It is calculated in offline.
|
RandomLogQueryAvgYabarUrlVisitors
begemot_query_factors: 94
The average value of Yabarurlvisitors for the year. It is calculated in offline.
|
RandomLogQueryAvgQueryDOwnerOnlyClickRate
begemot_query_factors: 95
The average value of QueryDowneronlyClickRate for the year. It is calculated in offline.
|
RandomLogQueryAvgDaterAge
begemot_query_factors: 96
The average value of Dateraage for the year. It is calculated in offline.
|
RandomLogQueryAvgLongestText
begemot_query_factors: 97
The average value of the LonGestText for the year. It is calculated in offline.
|
RandomLogQueryAvgDifferentInternalLinks
begemot_query_factors: 98
The average value is DifferentinTernallinks for the year. It is calculated in offline.
|
RandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
begemot_query_factors: 99
The average value of QueryDowneronlyClickRate_Rreg is for a year. It is calculated in offline.
|
RandomLogQueryAvgIsHub
begemot_query_factors: 100
The average ISHUB value is for the year. It is calculated in offline.
|
RandomLogQueryAvgIsTargetBussinessCard
begemot_query_factors: 101
The average ISTARGETBUSSINESSCARD for the year. It is calculated in offline.
|
RandomLogQueryAvgBM25_0
begemot_query_factors: 102
The average value is BM25_0 on request per year. It is calculated in offline.
|
RandomLogQueryAvgBocm
begemot_query_factors: 103
The average value of BOCM for the year. It is calculated in offline.
|
RandomLogQueryAvgIsIndexPage
begemot_query_factors: 104
The average ISindexpage is for the year. It is calculated in offline.
|
RandomLogQueryAvgQueriesAvgCM2
begemot_query_factors: 105
The average value of queriesavgcm2 for the year. It is calculated in offline.
|
RandomLogQueryAvgBrowserHostDownloadProbability
begemot_query_factors: 106
The average value of BrowserhostDownloadProbabolyity for the year. It is calculated in offline.
|
RandomLogQueryAvgRegBrowserUserHub
begemot_query_factors: 107
The average value of Regbrowseruserhub for the year. It is calculated in offline.
|
RandomLogQueryAvgAuxTitleBM25
begemot_query_factors: 108
Auxtitlebm25 average value for the year. It is calculated in offline.
|
RandomLogQueryAvgQueryUrlCorrectedCtrXfactor
begemot_query_factors: 109
The average value of QuryurlCorrectedctrxFactor for the year. It is calculated in offline.
|
RandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
begemot_query_factors: 110
The average value is QueryTodocallsumfcountTextbM11Norm16384 for the year. It is calculated in offline.
|
RandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
begemot_query_factors: 111
The average value of the XFDTSHOWALLSUMWFSUMWBODYMINWIDESIZE for the year. It is calculated in offline.
|
RandomLogQueryClicksWeightedAvgIsMainPage
begemot_query_factors: 112
Maintened by clicks ISMainPage value for the year. It is calculated in offline.
|
RandomLogQueryClicksWeightedAvgYabarUrlAvgTime
begemot_query_factors: 113
Main -heated clicks of the Yabarurlavgtime value for the year. It is calculated in offline.
|
RandomLogQueryClicksWeightedAvgDifferentInternalLinks
begemot_query_factors: 114
Maintened by clicks DifferentinTernallinks for the year. It is calculated in offline.
|
RandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
begemot_query_factors: 115
Malpanized Dwelltime-AMI Value of Urldomainfraction for the year. It is calculated in offline.
|
DssmQueryCountryToUrlEstimatedDistance
begemot_query_factors: 122
Predicted by demand and country, using a DSSM model, the length of the click from this country.
|
DssmRandomLogQueryAvgNews
begemot_query_factors: 123
The average for the year for the year predicted using the neural network.
|
DssmRandomLogQueryAvgAddTime
begemot_query_factors: 124
ADDTIME ADDTIME is predicted using a neural network for a year.
|
DssmRandomLogQueryAvgTxtHiRelSy
begemot_query_factors: 125
The average Txthirelesy value predicted using a neural network for the year.
|
DssmRandomLogQueryAvgTextLike
begemot_query_factors: 126
The average Textlike is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgHasNoAllWordsTRSy
begemot_query_factors: 127
The average HasnoallwordStrsy is predicted using a neural network for a year.
|
DssmRandomLogQueryAvgIsForum
begemot_query_factors: 128
The average ISFORUM is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgHasPayments
begemot_query_factors: 129
The average Haspayments is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgYabarHostAvgTime2
begemot_query_factors: 130
The average value of Yabarhostavgtime2 for the year for the year.
|
DssmRandomLogQueryAvgYabarUrlVisitors
begemot_query_factors: 131
The average yabarurlvisitors is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate
begemot_query_factors: 132
The average value of QueryDowneronlyClickRate for the year for the year.
|
DssmRandomLogQueryAvgDaterAge
begemot_query_factors: 133
The average Dateraage value for the year for a year predicted using a neural network.
|
DssmRandomLogQueryAvgLongestText
begemot_query_factors: 134
The average LonGestText is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgDifferentInternalLinks
begemot_query_factors: 135
The average DifferentinTernallinks for the year for the year.
|
DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
begemot_query_factors: 136
The average value of QueryDowneronlyClickRate_Rreg is predicted using a neural network for a year.
|
DssmRandomLogQueryAvgIsTargetBussinessCard
begemot_query_factors: 137
The average ISTARGETBUSSINESSCARD is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgBocm
begemot_query_factors: 138
The average BOCM value predicted using a neural network for the year.
|
DssmRandomLogQueryAvgIsIndexPage
begemot_query_factors: 139
The average ISindEXPAGE is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgQueriesAvgCM2
begemot_query_factors: 140
The average value of QueriesavGCM2 for the year for the year predicted using a neural network.
|
DssmRandomLogQueryAvgBrowserHostDownloadProbability
begemot_query_factors: 141
The average BrowserhostdowLoadProbabolyti is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgRegBrowserUserHub
begemot_query_factors: 142
The average value of Regbrowseruserhub for the year for a year predicted using a neural network.
|
DssmRandomLogQueryAvgAuxTitleBM25
begemot_query_factors: 143
The average AuxtitlebM25 average value for the year for the year.
|
DssmRandomLogQueryAvgQueryUrlCorrectedCtrXfactor
begemot_query_factors: 144
The average value of QueryurlCorrectrxFactor for the year for the year.
|
DssmRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
begemot_query_factors: 145
The average value of QueryTodoCallsumfcountTextbM11Norm16384 for the year for the year.
|
DssmRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
begemot_query_factors: 146
The average value of the XFDTSHOWALSUMWFSUMWBODYMINWINDOWSIZE for the year for the year.
|
DssmRandomLogQueryClicksWeightedAvgIsMainPage
begemot_query_factors: 147
The value of the ISMAINPAGE with clicks predicted using the neural network with clicks on request for the year.
|
DssmRandomLogQueryClicksWeightedAvgYabarUrlAvgTime
begemot_query_factors: 148
A mid Yabarurlavgtime value predicted using a neural network with clicks for a year.
|
DssmRandomLogQueryClicksWeightedAvgDifferentInternalLinks
begemot_query_factors: 149
DiffferentinTernallinks, which is predicted using a neural network, is a weighted net with clicks for a year.
|
DssmRandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
begemot_query_factors: 150
The Malue Network DwellTime-AMI predicted using the neural network is the value of Urldomainfraction for the year.
|
Regionality5LocalizationProbability
begemot_query_factors: 151
The prediction of the probability that the request is localized in accordance with the regionality5 rule.
|
LongQuerySyn
begemot_query_factors: 152
The factor is an analogue of LongQuery (the sum of the IDF words of the request), but with the 'correct' accounting of synonyms. Specifically, a minimum of IDF (i.e. the most frequent) of synonyms and words is selected.
|
DssmBoostingXfOneSeAmSsHardQueryMutationDelSiteWordRenormedDistance
begemot_query_factors: 153
Characterizes the request for the degree of change from removing a fixed word ('site' for Kirilitsa), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
|
DssmBoostingXfOneSeAmSsHardQueryMutationAddFixedYearWordRenormedDistance
begemot_query_factors: 154
Characterizes the request for the degree of change from the addition of a fixed word (number of some year), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
|
DssmBoostingXfOneSeAmSsHardQueryMutationAddOnlineWordRenormedDistance
begemot_query_factors: 155
Characterizes a request for the degree of change from the addition of a fixed word ('online' for Kirilitsa), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
|
RandomLogWordMaxHasNoTr
begemot_query_factors: 156
For each word offline, the average Hasnotr meaning is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.
|
RandomLogWordMaxIsLJ
begemot_query_factors: 157
For each word offline, the average ISLJ value is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.
|
RandomLogWordMinBclmLite
begemot_query_factors: 159
For each word offline, the average BCLMLITE value is calculated for 3 months. Further, in all words of the request, a minimum of this value is taken.
|
RandomLogWordSkipStopWordsMaxDBM40
begemot_query_factors: 160
For each word offline, the average DBM40 value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
|
RandomLogWordSkipStopWordsMaxIsDesktopRequest
begemot_query_factors: 161
For each word offline, the average ISDESKTOPREQUEST value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
|
RandomLogWordMaxRLQAvgHasNoAllWordsTrSyn
begemot_query_factors: 162
For each word offline, the average value of RLQAVGHASNOLLWORDSTRSYN is calculated at the request for 3 months. Further, in all words of the request, the maximum of this value is taken.
|
RandomLogWordMaxDssmAggregatedAnnReg
begemot_query_factors: 163
For each word offline, the average DSSMAGGRETEDANNREG value is calculated at the request for 3 months. Further, in all words of the request, the maximum of this value is taken.
|
RandomLogWordMaxMetaNumUrlsPerHostFixed
begemot_query_factors: 164
For each word offline, the average meaning of MetanumurlSperhostfixed is calculated in demands in 3 months. Further, in all words of the request, the maximum of this value is taken.
|
RandomLogWordSkipStopWordsMaxSDIsNavMxQueryMax
begemot_query_factors: 165
For each word offline, the average value of MaxsdisnavmxqueryMax is calculated at the request for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
|
DssmGoogleSpecificity
begemot_query_factors: 166
DSSM prediction of google specificity for query
|
KnnRandomLogQueryAvgAddTime
begemot_query_factors: 167
The average value of Randomlogqueryavgaddtime of the closest KNN queries.
|
KnnRandomLogQueryAvgTxtHiRelSy
begemot_query_factors: 168
The average value of RandomlogqueryavgtXthirelsy nearest KNN queries.
|
KnnRandomLogQueryAvgTextLike
begemot_query_factors: 169
The average value of Randomlogqueryavgtextlike nearest KNN queries.
|
KnnRandomLogQueryAvgIsForum
begemot_query_factors: 170
The average value of Randomlogqueryavgisforum of the closest KNN queries.
|
KnnRandomLogQueryAvgHasPayments
begemot_query_factors: 171
The average value of Randomlogqueryavghaspayments closest to KNN queries.
|
KnnRandomLogQueryAvgDifferentInternalLinks
begemot_query_factors: 172
The average value of Randomlogqueryavgdiferentinternallinks of the nearest KNN queries.
|
KnnRandomLogQueryAvgIsTargetBussinessCard
begemot_query_factors: 173
The average value of RandomlogqueryavgistargetbussinessCard of the nearest KNN queries.
|
KnnRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
begemot_query_factors: 174
The average value is RandomlogqueryavgquerytododoCallsumfcountTextbM11NORM16384 of the nearest KNN queries.
|
KnnRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
begemot_query_factors: 175
The average value is Randomlogqueryavgxfdtshowallsumwfsumwbodyminwindowsize closest KNN queries.
|
IsDesktopRequest
begemot_query_factors: 176
request came from yandsearch (rearr.is_desktop == 1) (https://wiki.yandex-team.ru/users/lpshka/platformfeatures)
|
IsMobileRequest
begemot_query_factors: 177
request came from touchsearch (rearr.is_mobile == 1) (https://wiki.yandex-team.ru/users/lpshka/platformfeatures)
|
IsTabletRequest
begemot_query_factors: 178
request came from padsearch (rearr.is_tablet == 1) (https://wiki.yandex-team.ru/users/lpshka/platformfeatures)
|
QueryDoppMedianDwelltime
begemot_query_factors: 179
Median dwelltai request in history. Dwelltaym is cut to 6000. The request is normalized by doppelgangers
|
QueryDoppMultipleClicksShows
begemot_query_factors: 180
The number of shows of the request with more than one click in history. The request is normalized by doppelgangers
|
QueryDoppMultipleClicksProbability
begemot_query_factors: 181
The share of shows with more than one click from all shows in history. The request is normalized by doppelgangers
|
QueryToTextAllAvg
begemot_query_factors: 182
The average value for the query factor according to Querytotext linguosting data is calculated in the LingBoostqueryFeatures Hotemaway Rules
|
QueryToTextKnnAllAvg
begemot_query_factors: 183
The average value for the query factor according to Querytotextbyxfdtshowknn linguosting data is calculated in the LingBoostqueryFeatures Hotemail Rules
|
XfDtShowAllTotalW
begemot_query_factors: 184
SUM / (SUM + 10) for the requested factor according to the XFDTSHOW linguosting data, is calculated in the LingBoostqueryFeatures Hotemaura
|
XfDtShowQuantile01
begemot_query_factors: 185
Quantile 0.1 For the request factor according to the XFDTSHOW linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
|
XfDtShowKnnQuantile10
begemot_query_factors: 186
Quantile 0.1 for the request factor according to the XFDTSHOWKNN linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
|
XfDtShowKnnQuantile09
begemot_query_factors: 187
Quantile 0.9 for the quantity factor according to the XFDTSHOWKNN linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
|
QfufAllTotalWeight
begemot_query_factors: 188
SUM / (SUM + 10) for the requested factor according to QFUF linguosting data, is calculated in the LingBoostqueryFeatures Hotemaura
|
QfufAllAvg
begemot_query_factors: 189
The average value for the quoted factor according to QFUF lingvobusting data is calculated in the LingBoostqueryFeatures Hotemail Rules
|
IsRelevLocaleUZ
begemot_query_factors: 190
Relev_locale == Us
|
QueryDoppTimeFromPreviousPercentile25
begemot_query_factors: 191
25% time quantile from the previous request to the current one. The request is normalized by doppelgangers
|
FreshReportGlobalNearestTimeAfterFinish
begemot_query_factors: 201
Time has passed after a sporting event in the request
|
FreshReportGlobalNearestTimeBeforeStart
begemot_query_factors: 202
Time remaining before the sporting event from the request
|
FreshReportPairwiseNearestTimeAfterFinish
begemot_query_factors: 203
Time has passed after a sports event between several teams
|
FreshReportPairwiseNearestTimeBeforeStart
begemot_query_factors: 204
Time remaining before a sports event between several teams
|
FreshDaysBeforeQuery
begemot_query_factors: 205
The difference between the current date, and the date in the request (1 - request about today's date, 0 - about the date 10 days ago and younger)
|
FreshDaysAfterQuery
begemot_query_factors: 206
The difference between the current date, and the date in the request (1 - a request for today's date, 0 - about the date after 10 days and older)
|
FreshDatePresentedInQuery
begemot_query_factors: 207
There is one date in the request
|
WeekDayQueryProbability
begemot_query_factors: 208
Weekday query probability
|
RandomLogQueryAvgIsBlog
begemot_query_factors: 209
The average ISBLOG value for the year. It is calculated in offline.
|
IsSerialQuery
begemot_query_factors: 210
The request has the name of the series and a serial marker (series, series, all seasons).
|
IsExactSerialQuery
begemot_query_factors: 211
Is serial query with season and episode specified
|
DistanceToLastEpisode
begemot_query_factors: 212
Function from number of episodes between requested and last released episodes
|
QueryWorldStability
begemot_query_factors: 213
|
Top11WorstKernelClusters
begemot_query_factors: 214
The query getting into the TOP 11 clusters on Kernel metric based on DSSM proximity.
|
TovarCategoryQuery
begemot_query_factors: 215
The request mentions the product category. Not used (depreded)
|
TovarCategoryVendor
begemot_query_factors: 216
The request mentions a vendor. Not used (depreded)
|
AlbumInQuery
begemot_query_factors: 217
The presence of an album in a lemmetized request
|
QueryWordDistanceToWordMatch
begemot_query_factors: 218
DSSM distance from request to word match
|
QueryWordDistanceToWordHokkey
begemot_query_factors: 219
DSSM distance from request to word hockey
|
QueryWordDistanceToWordTranslyaciya
begemot_query_factors: 220
DSSM distance from request to word broadcast
|
QueryWordDistanceToWordChempionat
begemot_query_factors: 221
DSSM distance from request to word championship
|
QueryWordDistanceToWordSerial
begemot_query_factors: 222
DSSM distance from request to word series
|
QueryWordDistanceToWordSegodnya
begemot_query_factors: 223
DSSM distance from request to word today
|
QueryWordDistanceToWordPosledniy
begemot_query_factors: 224
DSSM distance from request to word last
|
QueryWordDistanceToWordAvariya
begemot_query_factors: 225
DSSM Distance from request to the word accident
|
QueryWordDistanceToWordNovosti
begemot_query_factors: 226
DSSM distance from request to word news
|
QueryWordDistanceToWordSmert
begemot_query_factors: 227
DSSM distance from request to word death
|
QueryWordDistanceToWordFytbol
begemot_query_factors: 228
DSSM distance from request to word football
|
QueryWordDistanceToWordDen
begemot_query_factors: 229
DSSM distance from request to word day
|
QueryWordDistanceToWordOtkritka
begemot_query_factors: 230
DSSM distance from request to word postcard
|
QueryWordDistanceToWordKhl
begemot_query_factors: 231
DSSM distance from request to word khl
|
QueryWordDistanceToWordUfc
begemot_query_factors: 232
DSSM distance from request to word UFC
|
QueryWordDistanceToWordRezultati
begemot_query_factors: 233
DSSM distance from request to word results
|
QueryWordDistanceToWordRaspisanie
begemot_query_factors: 234
DSSM distance from request to word schedule
|
QueryWordDistanceToWordSvezhie
begemot_query_factors: 235
DSSM distance from request to word fresh
|
QueryWordDistanceToWordBiographiya
begemot_query_factors: 236
DSSM distance from request to word biography
|
QueryWordDistanceToWordVcherashniy
begemot_query_factors: 237
DSSM distance from request to word yesterday
|
QueryWordDistanceToWordPrognoz
begemot_query_factors: 238
DSSM distance from request to word forecast
|
IsCtrDssmClusterNumber34
begemot_query_factors: 239
Requests got into the 34th cluster based on CTR-DSSM.
|
QueryWordDistanceToWordCoronavirus
begemot_query_factors: 240
DSSM distance from request to word coronavirus
|
QueryWordDistanceToWordKupit
begemot_query_factors: 241
DSSM distance from request to word buy
|
QueryWordDistanceToWordCena
begemot_query_factors: 242
DSSM distance from request to word price
|
QueryWordDistanceToWordTovar
begemot_query_factors: 243
DSSM distance from request to word product
|
QueryWordDistanceToWordHarakteristiki
begemot_query_factors: 244
DSSM distance from the request to the word description
|
QueryWordDistanceToWordDostavka
begemot_query_factors: 245
DSSM distance from request to word delivery
|
QueryWordDistanceToWordPlatno
begemot_query_factors: 246
DSSM distance from request to word is paid
|
QueryWordDistanceToWordAnalog
begemot_query_factors: 247
DSSM distance from request to word analogue
|
QueryWordDistanceToWordRasprodazha
begemot_query_factors: 248
DSSM distance from request to word sale
|
QueryWordDistanceToWordRassrochka
begemot_query_factors: 249
DSSM distance from the request to the word installment
|
QueryWordDistanceToWordArenda
begemot_query_factors: 250
DSSM distance from request to word rent
|
QueryWordDistanceToWordKatalog
begemot_query_factors: 251
DSSM distance from request to word catalog
|
QueryWordDistanceToWordMagazin
begemot_query_factors: 252
DSSM distance from request to word store
|
QueryWordDistanceToWordSmotret
begemot_query_factors: 253
Dssm distance from request to word watch
|
QueryWordDistanceToWordFilm
begemot_query_factors: 254
DSSM distance from request to word movie
|
QueryWordDistanceToWordSezon
begemot_query_factors: 255
DSSM distance from request to word season
|
QueryWordDistanceToWordBesplatno
begemot_query_factors: 256
DSSM distance from request to word free
|
DssmCategoryPopularityConstruction
begemot_query_factors: 257
The likelihood that the selected hosts from the Construction category are popular for this request according to the corresponding DSSM model
|
DssmCategoryPopularityWear
begemot_query_factors: 258
The likelihood that the selected hosts from the Wear category are popular for this request according to the corresponding DSSM model
|
DssmCategoryPopularityHealth
begemot_query_factors: 259
The likelihood that the selected hosth hosts category are popular for this request in accordance with the corresponding DSSM model
|
DssmCategoryPopularityFood
begemot_query_factors: 260
The likelihood that the selected hosts from the Food category are popular for this request in accordance with the corresponding DSSM model
|
DssmCategoryPopularityFurniture
begemot_query_factors: 261
The likelihood that the selected hosts from the Furniture category are popular for this request according to the corresponding DSSM model
|
DssmCategoryPopularityTravel
begemot_query_factors: 262
The likelihood that the selected hosts from the Travel category are popular for this request in accordance with the corresponding DSSM model
|
DssmCategoryPopularityMarketplace
begemot_query_factors: 263
The likelihood that the selected hostplace hostplace category are popular for this request according to the corresponding DSSM model
|
DssmCategoryPopularityBook
begemot_query_factors: 264
The likelihood that the selected hosts from the Book category are popular for this request in accordance with the corresponding DSSM model
|
DssmCategoryPopularityElectron
begemot_query_factors: 265
The likelihood that the selected hosts from the Electron category are popular for this request in accordance with the corresponding DSSM model
|
DssmCategoryPopularityBoard
begemot_query_factors: 266
The likelihood that the selected hosts from the Board category are popular for this request in accordance with the corresponding DSSM model
|
DssmCategoryPopularityService
begemot_query_factors: 267
The likelihood that the selected hosts from the Service category are popular for this request in accordance with the corresponding DSSM model
|
DssmCategoryPopularityAuto
begemot_query_factors: 268
The likelihood that the selected hosto hosto are popular for this request in accordance with the corresponding DSSM model
|
DssmCategoryPopularityCinema
begemot_query_factors: 269
The likelihood that the selected hosts from the Cinema category are popular for this request in accordance with the corresponding DSSM model
|
QueryCoverageBySerialDict
begemot_query_factors: 270
Matter coating of the request of the dictionary with the names of the series
|
QueryCoverageByFilmDict
begemot_query_factors: 271
Matter coating of a request from a dictionary with films names
|
QueryWordDistanceToWordLechenie
begemot_query_factors: 272
DSSM distance from request to word treatment
|
QueryWordDistanceToWordApteka
begemot_query_factors: 273
DSSM distance from request to word pharmacy
|
QueryWordDistanceToWordProstuda
begemot_query_factors: 274
DSSM distance from request to the word cold
|
QueryWordDistanceToWordDieta
begemot_query_factors: 275
DSSM distance from request to word diet
|
QueryWordDistanceToWordMaz
begemot_query_factors: 276
DSSM distance from request to word ointment
|
QueryWordDistanceToWordSredstvo
begemot_query_factors: 277
DSSM distance from request to word means
|
QueryWordDistanceToWordRecept
begemot_query_factors: 278
DSSM distance from request to word recipe
|
QueryWordDistanceToWordZivot
begemot_query_factors: 279
DSSM distance from request to word belly
|
QueryPurchasePrediction
begemot_query_factors: 280
DSSM Prediction of money spent on a request
|
IsMedicalQuery
begemot_query_factors: 281
Prediction of the classifier that the request is a medical
|
IsLawQuery
begemot_query_factors: 282
Prediction of the classifier that the request is a legal
|
IsFinancialQuery
begemot_query_factors: 283
Prediction of the classifier that the request is financial
|
IsSosQuery
begemot_query_factors: 284
The prediction of the classifier is that the request of SOS topics
|
IsNavigationalQuery
begemot_query_factors: 285
The prediction of the classifier that the request is navigation
|
IsRelevLocaleXUSSR
begemot_query_factors: 286
|
IsExpectedSafeAnswerQuery
begemot_query_factors: 287
The prediction of the classifier is that the request is white (that is, it is not worth showing tin on it)
|
QueryComplexity
begemot_query_factors: 288
DSSM prediction of the complexity of the request
|
IsQueryContainsQuotes
begemot_query_factors: 289
Are there any quotes in the request
|
IsQueryContainsMinusWords
begemot_query_factors: 290
Is there a minus
|
IsQueryContainsPlusWords
begemot_query_factors: 291
Is there a plus word in the request
|
IsQueryWholeQuoted
begemot_query_factors: 292
Is the request completely with a quote
|
IsSeoQuery
begemot_query_factors: 293
Indicator - is the request of the SEO -request
|
IsSeoQueryList1
begemot_query_factors: 294
Indicator - is the request of the SEO -request from the list No. 1
|
IsSeoQueryList2
begemot_query_factors: 295
Indicator - is the request of the SEO request from the list No. 2
|
HasFioInQuery
begemot_query_factors: 297
Request contains full name from FIO Rules
|
HasTrackInQuery
begemot_query_factors: 298
Request contains a word song or track
|
IsAliceMusicQuery
begemot_query_factors: 299
Musical request from Alice
|
IsMobileStoreQuery
begemot_query_factors: 300
The prediction of the classifier is that upon request you need to show URL from a mobile market
|
IsServicePlusQuery
begemot_query_factors: 301
Prediction of the classifier to especially commercial requests
|
IsCPQuery
begemot_query_factors: 302
Prediction of the CP Classifier Requests
|
IsCSQueryV2
begemot_query_factors: 303
Requested classifier of programmatic queries V2
|
IsApplianceRepairQuery
begemot_query_factors: 304
Classifier of a request for equipment repair services: office, household, computers, phones
|
ExpertProGoogleQuery
begemot_query_factors: 306
Request classifier to Pro-Hoogle Expertise.
|
LatinisticQuery
begemot_query_factors: 307
The request is Latinic.
|
DssmIsPornoQuery
begemot_query_factors: 308
Whether the request is porn.
|
Const1
begemot_query_factors: 309
Constant 1
|
BegemotFactorReserve0
begemot_query_factors: 310
Spare factor for the rapid adding functionality
|
BegemotFactorReserve1
begemot_query_factors: 311
Spare factor for the rapid adding functionality
|
BegemotFactorReserve2
begemot_query_factors: 312
Spare factor for the rapid adding functionality
|
BegemotFactorReserve3
begemot_query_factors: 313
Spare factor for the rapid adding functionality
|
BegemotFactorReserve4
begemot_query_factors: 314
Spare factor for the rapid adding functionality
|
BegemotFactorReserve5
begemot_query_factors: 315
Spare factor for the rapid adding functionality
|
IsCPQueryV2
begemot_query_factors: 316
Prediction of the CP Classifier Requests
|
IsViolentQuery
begemot_query_factors: 317
Prediction of the requesting classifier of violence
|
IsAboutWeaponsOrDrugsQuery
begemot_query_factors: 318
Prediction of the requesting classifier of weapons or drugs
|
IsCookingQuery
begemot_query_factors: 319
The prediction of the classifier is that a culinary request request
|
IsStrongInterCookingQuery
begemot_query_factors: 320
The prediction of the classifier is that the request is strong international and culinary
|
IsArabicAliceMusicQuery
begemot_query_factors: 325
Musical request for the script of Arab Alice
|
InvWordCount
begemot_query_factors: 326
1/(1 + number of words of the request), attributes are not taken into account
|
HasAttrs
begemot_query_factors: 327
Is an attribute request (looks at rearr = attrs)
|
IndonesianPornQuery
begemot_query_factors: 328
Classifier of a request for pornographic for Indonesian
|
QueryLanguageEng
begemot_query_factors: 329
Classifier of requests for the requirement only English -speaking pages
|
QueryLanguageMix
begemot_query_factors: 330
Classifier of requests for the requirement of mixed English -speaking and Russian -speaking pages
|
QueryLanguageEngMix
begemot_query_factors: 331
The classifier of requests for the requirement of either only English -speaking pages, or English -speaking and Russian -speaking pages together
|
FreshPairsContrastDesktop
begemot_query_rt_factors: 0
The maximum ratio of the amount of the request for the request and its bigrams per day, to the same amount in 30 days
|
FreshPairsContrastMobile
begemot_query_rt_factors: 1
The maximum ratio of the amount of the request for the request and its bigrams per day, to the same amount in 30 days (mobile version)
|
FreshQueryContrastDesktop
begemot_query_rt_factors: 2
The ratio of shows in the stream per day and for 30 days, provided that it was more than 5 shows in 30 days
|
FreshQueryContrastMobile
begemot_query_rt_factors: 3
The ratio of the shows in the stream per day and for 30 days, provided that it was more than 5 shows in 30 days (mobile version)
|
NewsDocLength
begemot_query_rt_factors: 4
|
NewsDocDeviationSum
begemot_query_rt_factors: 5
|
NewsDocCountSum
begemot_query_rt_factors: 6
|
NewsDocSpikeSum
begemot_query_rt_factors: 7
|
NewsDocDeviationMax
begemot_query_rt_factors: 8
|
NewsDocCountMax
begemot_query_rt_factors: 9
|
NewsDocSpikeMax
begemot_query_rt_factors: 10
|
NewsDocCoverage
begemot_query_rt_factors: 11
|
TitleNewsContrastShowsAvgDecay5XShowsAvgDecay120
begemot_query_rt_factors: 12
|
TitleNewsContrastShowsAvgDecay30XShowsAvgDecay120
begemot_query_rt_factors: 13
|
TitleNewsContrastShowsQ95Decay5XShowsQ95Decay120
begemot_query_rt_factors: 14
|
TitleNewsContrastShowsQ95Decay30XShowsQ95Decay60
begemot_query_rt_factors: 15
|
TextNewsContrastShowsQ95Decay30
begemot_query_rt_factors: 16
|
TextNewsContrastShowsAvgDecay30XShowsAvgDecay60
begemot_query_rt_factors: 17
|
TextNewsContrastShowsQ75Decay1XShowsQ75Decay3
begemot_query_rt_factors: 18
|
TextNewsContrastShowsQ75Decay60XShowsQ75Decay120
begemot_query_rt_factors: 19
|
TextNewsContrastShowsQ95Decay5XShowsQ95Decay120
begemot_query_rt_factors: 20
|
TextNewsContrastShowsMaxDecay5XShowsQ99Decay120
begemot_query_rt_factors: 21
|
ClusterizationShowsDecay01XShowsDecay7
begemot_query_rt_factors: 24
|
ClusterizationShowsDecay025XShowsDecay1
begemot_query_rt_factors: 25
|
ClusterizationShowsDecay05XShowsDecay14
begemot_query_rt_factors: 26
|
ClusterizationShowsDecay1XShowsDecay3
begemot_query_rt_factors: 27
|
ClusterizationShowsDecay3XShowsDecay7
begemot_query_rt_factors: 28
|
ClusterizationShowsDecay7XShowsDecay30
begemot_query_rt_factors: 29
|
DnormRapidClicksShowsDecay1XShowsDecay3V2
begemot_query_rt_factors: 30
|
DnormRapidClicksShowsDecay3XShowsDecay30V2
begemot_query_rt_factors: 31
|
FreshPairsContrastDesktopL2
begemot_query_rt_l2_factors: 0
The maximum ratio of the amount of the request for the request and its bigram per day, to the same amount in 30 days. With the value of the detector freshness below the threshold, the factor value is canonized
|
FreshPairsContrastMobileL2
begemot_query_rt_l2_factors: 1
The maximum ratio of the amount of the request for the request and its bigrams per day, to the same amount in 30 days (mobile version). With the value of the detector freshness below the threshold, the factor value is canonized
|
FreshQueryContrastDesktopL2
begemot_query_rt_l2_factors: 2
The ratio of shows in the stream per day and for 30 days, provided that it was more than 5 shows in 30 days. With the value of the detector freshness below the threshold, the factor value is canonized
|
FreshQueryContrastMobileL2
begemot_query_rt_l2_factors: 3
The ratio of shows in the stream per day and for 30 days, provided that it was more than 5 shows in 30 days (mobile version). With the value of the detector freshness below the threshold, the factor value is canonized
|
NewsDocLengthL2
begemot_query_rt_l2_factors: 4
|
NewsDocDeviationSumL2
begemot_query_rt_l2_factors: 5
|
NewsDocCountSumL2
begemot_query_rt_l2_factors: 6
|
NewsDocSpikeSumL2
begemot_query_rt_l2_factors: 7
|
NewsDocDeviationMaxL2
begemot_query_rt_l2_factors: 8
|
NewsDocCountMaxL2
begemot_query_rt_l2_factors: 9
|
NewsDocSpikeMaxL2
begemot_query_rt_l2_factors: 10
|
NewsDocCoverageL2
begemot_query_rt_l2_factors: 11
|
TitleNewsContrastShowsAvgDecay5XShowsAvgDecay120
begemot_query_rt_l2_factors: 12
|
TitleNewsContrastShowsAvgDecay30XShowsAvgDecay120
begemot_query_rt_l2_factors: 13
|
TitleNewsContrastShowsQ95Decay5XShowsQ95Decay120
begemot_query_rt_l2_factors: 14
|
TitleNewsContrastShowsQ95Decay30XShowsQ95Decay60
begemot_query_rt_l2_factors: 15
|
TextNewsContrastShowsQ95Decay30
begemot_query_rt_l2_factors: 16
|
TextNewsContrastShowsAvgDecay30XShowsAvgDecay60
begemot_query_rt_l2_factors: 17
|
TextNewsContrastShowsQ75Decay1XShowsQ75Decay3
begemot_query_rt_l2_factors: 18
|
TextNewsContrastShowsQ75Decay60XShowsQ75Decay120
begemot_query_rt_l2_factors: 19
|
TextNewsContrastShowsQ95Decay5XShowsQ95Decay120
begemot_query_rt_l2_factors: 20
|
TextNewsContrastShowsMaxDecay5XShowsQ99Decay120
begemot_query_rt_l2_factors: 21
|
ClusterizationShowsDecay01XShowsDecay7
begemot_query_rt_l2_factors: 24
|
ClusterizationShowsDecay025XShowsDecay1
begemot_query_rt_l2_factors: 25
|
ClusterizationShowsDecay05XShowsDecay14
begemot_query_rt_l2_factors: 26
|
ClusterizationShowsDecay1XShowsDecay3
begemot_query_rt_l2_factors: 27
|
ClusterizationShowsDecay3XShowsDecay7
begemot_query_rt_l2_factors: 28
|
ClusterizationShowsDecay7XShowsDecay30
begemot_query_rt_l2_factors: 29
|
DnormRapidClicksShowsDecay1XShowsDecay3V2
begemot_query_rt_l2_factors: 30
|
DnormRapidClicksShowsDecay3XShowsDecay30V2
begemot_query_rt_l2_factors: 31
|
MedQueryDetector
begemot_uslugi_query_factors: 0
Wizdeteration Detector on top of DSSM Multiclick
|
UslugiQueryMulticlickDetector
begemot_uslugi_query_factors: 1
WizDeteration service request detector on top of DSSM Multiclick
|
UslugiQueryReformulationsDetector
begemot_uslugi_query_factors: 2
Wizdeteration Detector on top of DSSM ReformulationslonGestClicklogdt
|
UslugiMedQueryDetector
begemot_uslugi_query_factors: 3
Wizdeteration Detector on top of DSSM Multiclick on the cuts of the Docdoc.ru service shows
|
TelemedQueryDetector
begemot_uslugi_query_factors: 4
Telemedical Request detector from WizDeteration on top of DSSM Multiclick
|
PureMedQueryDetector
begemot_uslugi_query_factors: 5
Wizdeteration Detector on top of DSSM Multiclick
|
PureUslugiQueryMulticlickDetector
begemot_uslugi_query_factors: 6
WizDeteration service request detector on top of DSSM Multiclick
|
PureUslugiQueryReformulationsDetector
begemot_uslugi_query_factors: 7
Wizdeteration Detector on top of DSSM ReformulationslonGestClicklogdt
|
PureUslugiMedQueryDetector
begemot_uslugi_query_factors: 8
Wizdeteration Detector on top of DSSM Multiclick on the cuts of the Docdoc.ru service shows
|
PureTelemedQueryDetector
begemot_uslugi_query_factors: 9
Telemedical Request detector from WizDeteration on top of DSSM Multiclick
|
LongQuery
collections_production: 0
|
InvWordCount
collections_production: 1
|
TLen
collections_production: 2
|
AbsolutePLM
collections_production: 3
|
Bclm
collections_production: 4
|
TxtBm25Sy
collections_production: 5
|
Bclm2
collections_production: 7
|
Tocm
collections_production: 8
|
TitleTrigramsTitle
collections_production: 9
|
TextBM25_Fm_W1
collections_production: 10
|
TxtBm25Ex
collections_production: 11
|
TextBM25
collections_production: 12
|
TextBM25_Sy_W1
collections_production: 13
|
TxtHeadSy
collections_production: 14
|
YmwFull2
collections_production: 15
|
TxtHeadEx
collections_production: 16
|
TxtHead
collections_production: 17
|
TxtBreakSy
collections_production: 18
|
TxtBreakEx
collections_production: 19
|
ANN_title_bclm_plain
collections_production: 33
|
ANN_title_bclm_weighted
collections_production: 34
|
ANN_img_clicks_bclm_plain
collections_production: 35
|
ANN_img_clicks_bclm_weight
collections_production: 36
|
ANN_img_clicks_bocm_plain
collections_production: 37
|
ANN_img_clicks_annotation_match_prediction
collections_production: 38
|
ANN_img_clicks_bm_15_strict_k_4
collections_production: 39
|
ANN_img_clicks_bocm_weighted_k_9
collections_production: 40
|
ANN_img_clicks_value_wcm_max
collections_production: 41
|
ANN_img_clicks_word_1_pos_shift
collections_production: 42
|
ANN_img_clicks_word_2_pos_shift
collections_production: 43
|
ANN_img_clicks_min_word_pos_shift
collections_production: 44
|
ANN_img_clicks_min_word_pos_variance
collections_production: 46
|
ANN_img_clicks_word_1_exact_ratio
collections_production: 47
|
ANN_img_clicks_word_2_exact_ratio
collections_production: 48
|
ANN_img_clicks_global_exact_ratio
collections_production: 49
|
ANN_img_clicks_word_1_tf_ratio
collections_production: 50
|
ANN_img_clicks_word_2_tf_ratio
collections_production: 51
|
ANN_img_clicks_min_word_tf_ratio
collections_production: 52
|
ANN_img_clicks_annotation_match_prediction_max_word_tf_abs_value
collections_production: 53
|
ANN_img_clicks_max_prefix_len_str
collections_production: 54
|
ANN_img_clicks_contains_whole_query_str
collections_production: 55
|
ANN_img_clicks_avg_dist_12_syn
collections_production: 56
|
ANN_img_clicks_max_avg_dist_syn
collections_production: 57
|
ANN_img_clicks_max_prefix_len_syn
collections_production: 58
|
QueryHasFIO
collections_production: 76
|
t2t_bundle_title
collections_production: 78
|
t2t_bundle_text
collections_production: 79
|
img_cards_bundle_i2t_v9
collections_production: 80
|
img_cards_bundle_i2t_v9_weighted
collections_production: 81
|
t2t_query_top_text
collections_production: 84
|
img_cards_t2t_v1
collections_production: 87
|
img_cards_i2t_v9_weighted
collections_production: 89
|
img_cards_weighted_i2t_variation
collections_production: 90
|
img_cards_t2t_v1_dispersion
collections_production: 91
|
img_cards_i2t_v9
collections_production: 92
|
img_cards_i2t_dispersion
collections_production: 93
|
t2q_query_title
collections_production: 96
|
t2t_query_title
collections_production: 97
|
i2t_avg_img_query
collections_production: 98
|
t2t_query_text
collections_production: 99
|
MatrixNet
collections_production: 100
|
ANN_ann_img_google_clicks_bclm_plain
collections_production: 160
|
ANN_ann_img_google_clicks_bclm_weighted
collections_production: 161
|
ANN_ann_img_google_clicks_bocm_plain
collections_production: 162
|
ANN_ann_img_google_clicks_ya_bm_15_strict_k_4
collections_production: 163
|
ANN_ann_img_google_clicks_ya_bocm_weighted_k_9
collections_production: 164
|
ANN_ann_img_google_clicks_ya_value_wcm_max
collections_production: 165
|
ANN_owner_bclm_plain
collections_production: 166
|
ANN_owner_bclm_weighted
collections_production: 167
|
ANN_owner_bocm_plain
collections_production: 168
|
ANN_owner_1st_word
collections_production: 169
|
ANN_owner_max_weight_inv
collections_production: 170
|
ANN_owner_hits
collections_production: 171
|
ANN_title_phrase_str_avg_dist_12
collections_production: 172
|
ANN_title_phrase_str_avg_dist_max
collections_production: 173
|
ANN_title_phrase_str_max_prefix
collections_production: 174
|
ANN_title_phrase_str_has_query
collections_production: 175
|
ANN_title_phrase_syn_avg_dist_12
collections_production: 176
|
ANN_title_phrase_syn_avg_dist_max
collections_production: 177
|
ANN_title_phrase_syn_max_prefix
collections_production: 178
|
ANN_title_phrase_syn_has_query
collections_production: 179
|
ANN_title_word_1pos_shift
collections_production: 180
|
ANN_title_word_max_pos_shift
collections_production: 181
|
ANN_title_word_min_pos_variance
collections_production: 182
|
ANN_title_word_max_weighed_pos_variance
collections_production: 183
|
ANN_title_word1_exact_ratio
collections_production: 184
|
ANN_title_word_global_exact_ratio
collections_production: 185
|
ANN_title_word1_tf_ratio
collections_production: 186
|
ANN_title_word2_tf_ratio
collections_production: 187
|
ANN_title_word3_tf_ratio
collections_production: 188
|
ANN_title_word_min_tf_ratio
collections_production: 189
|
ANN_title_word_max_tfabs_value
collections_production: 190
|
ANN_board_clicks_bclm_weight
collections_production: 191
|
ANN_board_clicks_bclm_plain
collections_production: 192
|
ANN_board_clicks_bocm_plain
collections_production: 193
|
ANN_board_clicks_annotation_match_prediction
collections_production: 194
|
ANN_board_clicks_bm_15_strict_k_4
collections_production: 195
|
ANN_board_clicks_bocm_weighted_k_9
collections_production: 196
|
ANN_board_clicks_value_wcm_max
collections_production: 197
|
ANN_board_clicks_word_1_pos_shift
collections_production: 198
|
ANN_board_clicks_word_2_pos_shift
collections_production: 199
|
ANN_board_clicks_min_word_pos_shift
collections_production: 200
|
ANN_board_clicks_min_word_pos_variance
collections_production: 201
|
ANN_board_clicks_word_1_exact_ratio
collections_production: 202
|
ANN_board_clicks_word_2_exact_ratio
collections_production: 203
|
ANN_board_clicks_global_exact_ratio
collections_production: 204
|
ANN_board_clicks_word_1_tf_ratio
collections_production: 205
|
ANN_board_clicks_word_2_tf_ratio
collections_production: 206
|
ANN_board_clicks_min_word_tf_ratio
collections_production: 207
|
ANN_board_clicks_annotation_match_prediction_max_word_tf_abs_value
collections_production: 208
|
ANN_board_clicks_max_prefix_len_str
collections_production: 209
|
ANN_board_clicks_contains_whole_query_str
collections_production: 210
|
ANN_board_clicks_avg_dist_12_syn
collections_production: 211
|
ANN_board_clicks_max_avg_dist_syn
collections_production: 212
|
ANN_board_clicks_max_prefix_len_syn
collections_production: 213
|
RadiusNear
geo_production: 21
|
IsOrgQuery
geo_production: 23
|
DssmLogDwellTimeBigrams
geo_production: 112
|
DssmCtr
geo_production: 113
|
DSSM0
geo_production: 114
|
DSSM1
geo_production: 115
|
DSSM2
geo_production: 116
|
DSSM3
geo_production: 117
|
DSSM4
geo_production: 118
|
DSSM5
geo_production: 119
|
DSSM6
geo_production: 120
|
DSSM7
geo_production: 121
|
DSSM8
geo_production: 122
|
LongClickBocmPlain
geo_production: 129
|
LongClickAnnotationMatchPredictionWeighted
geo_production: 130
|
DoubleFrcAnnotationMatchPredictionWeighted
geo_production: 131
|
DoubleFrcFullMatchPrediction
geo_production: 132
|
DoubleFrcSynonymMatchPrediction
geo_production: 133
|
DoubleFrcValueWcmAvg
geo_production: 134
|
IsOrg
geo_production: 157
|
QueryCommercialityMx
geo_production: 158
|
IsGeo
geo_production: 159
|
LongQuerySyn
geo_production: 160
|
IsNavMxQuery
geo_production: 162
|
Found
geo_production: 163
|
ExpectedFound
geo_production: 165
|
ClickQfrcAllWcmMatch80AvgValue
geo_production: 186
|
ClickQfrcAnnotationMatchWeightedValue
geo_production: 187
|
ClickQfrcAnnotationMaxValue
geo_production: 188
|
ClickQfrcAnnotationMaxValueWeighted
geo_production: 189
|
ClickQfrcCMMatch80AvgValue
geo_production: 190
|
ClickQfrcExactQueryMatchAvgValue
geo_production: 191
|
ClickQfrcPerWordCMMaxPredictionMin
geo_production: 192
|
ShowQfrcAllWcmMatch80AvgValue
geo_production: 193
|
ShowQfrcAllWcmMatch95AvgValue
geo_production: 194
|
ShowQfrcAllWcmMaxPrediction
geo_production: 195
|
ShowQfrcAllWcmWeightedPrediction
geo_production: 196
|
ShowQfrcAllWcmWeightedValue
geo_production: 197
|
ShowQfrcAnnotationMatchWeightedValue
geo_production: 198
|
ShowQfrcAnnotationMaxValueWeighted
geo_production: 199
|
ShowQfrcCMMatch80AvgValue
geo_production: 200
|
ShowQfrcCMMatchTop5AvgValue
geo_production: 201
|
ShowQfrcExactQueryMatchAvgValue
geo_production: 202
|
ShowQfrcFullMatchValue
geo_production: 203
|
ShowQfrcQueryPrefixMatchOriginalWordValue
geo_production: 204
|
DssmQueryLogDTPrincipalComponents2
geo_production: 206
|
DssmQueryLogDTPrincipalComponents3
geo_production: 207
|
DssmQueryLogDTPrincipalComponents4
geo_production: 208
|
DssmQueryLogDTPrincipalComponents5
geo_production: 209
|
DssmQueryLogDTPrincipalComponents6
geo_production: 210
|
DssmQueryLogDTPrincipalComponents7
geo_production: 211
|
DssmQueryLogDTPrincipalComponents8
geo_production: 212
|
DssmQueryLogDTPrincipalComponents11
geo_production: 213
|
OrgAddressWCMWeihtedPrediction
geo_production: 224
|
OrgNameMaxValueWeighted
geo_production: 228
|
OrgNameBM15MaxAnnot
geo_production: 230
|
MMapClickQFRCAnnotationMatchWeightedValue
geo_production: 248
|
MMapClickQFRCAllWcmMatch80AvgValue
geo_production: 249
|
MMapClickQFRCAllWcmWeightedValue
geo_production: 250
|
MMapClickSQFRCAnnotationMaxValueWeighted
geo_production: 251
|
MMapClickSQFRCAnnotationMatchWeightedValue
geo_production: 252
|
MMapClickCTRAnnotationMatchWeightedValue
geo_production: 253
|
PhoneMatch
geo_production: 254
|
AbbreviationMatch
geo_production: 261
|
PersonalUserRubricQuery
geo_production: 264
P+K+user's DC in the Request section. Suspended
|
PersonalUserChainQuery
geo_production: 266
P+K+user DC in the network in the request. Suspended
|
ReadDistanceToULL
geo_production: 279
[0-1] distance from DOC to Ull /500 km
|
SerpMapsClickQFRCAnnotationMatchWeightedValue
geo_production: 289
|
SerpMapsClickSOFRCBm15K0_01
geo_production: 290
|
SerpMapsClickSQFRCAnnotationMaxValueWeighted
geo_production: 291
|
SerpMapsClickSQFRCAnnotationMatchWeightedValue
geo_production: 292
|
SerpMapsClickSQFRCAllWcmWeightedValue
geo_production: 293
|
SerpMapsClickSQFRCBm15K0_01
geo_production: 297
|
LevenshteinTranslit
geo_production: 300
The maximum similarity of the request to one of the names from the point of view of the distance of Levenstein.
|
HasHouseNumberInQuery
geo_production: 331
The presence of a house number in a request
|
HasSteeetInQuery
geo_production: 332
The presence of the street in the request
|
HasDistrictInQuery
geo_production: 333
The presence of a district in a request
|
HasLocalityInQuery
geo_production: 334
The presence of a settlement in a request
|
HasAreaInQuery
geo_production: 335
The presence of a quarter in a request
|
HasProvinceInQuery
geo_production: 336
The presence of a region in a request
|
HasCountryInQuery
geo_production: 337
The presence of a country in a request
|
HasVegetationInQuery
geo_production: 338
The presence of parks in the request
|
HasHydrosInQuery
geo_production: 339
The presence of water bodies in the request
|
MatchHouseNumberInQuery
geo_production: 340
Coincidence of a house number with a number in a request
|
MatchStreetInQuery
geo_production: 341
The coincidence of the street with the street in the request
|
MatchDistrictInQuery
geo_production: 342
Coincidence of the district with the district in the request
|
MatchLocalityInQuery
geo_production: 343
Coincidence of a settlement with a settlement in a request
|
LocatedAtOrgNameAnnotationMaxValueWeighted
geo_production: 360
|
OrgSummaryBclmMixPlain_K1e_05
geo_production: 368
|
OrgSummaryAnnotationMaxValueWeighted
geo_production: 369
|
OrgSummaryAllWcmWeightedPrediction
geo_production: 370
|
OrgSummaryBocm11_Norm256
geo_production: 371
|
SerpMapsClickQFRCAllWcmWeightedValue
geo_production: 377
|
HospitalInQuery
geo_production: 387
|
HospitalDepartmentInQuery
geo_production: 388
|
CanBeRubricRequest
geo_production: 389
Whether the request is disassembled as a rubric in at least one of the verticals
|
GeosearchDSSMSerpClicksFps
geo_production: 391
DSSM learned on serp clicks with fps loss
|
RubricQueryClassifierResult
geo_production: 392
Result of rubric query classifier that is based on geosearch dssm
|
QueryDssmClassifierToponym
geo_production: 423
Result of query classifier that is based on geosearch dssm
|
QueryDssmClassifierRubric
geo_production: 424
Result of query classifier that is based on geosearch dssm
|
QueryDssmClassifierOrg1Chain
geo_production: 425
Result of query classifier that is based on geosearch dssm
|
QueryDssmClassifierOther
geo_production: 426
Result of query classifier that is based on geosearch dssm
|
FeaturesQuorum
geo_production: 483
Quorum values for hits in attributes of signs
|
SearchWindowOriginIsLlSpn
geo_production: 485
The search window is completely set
|
SearchWindowOriginIsPoint
geo_production: 486
The search window was obtained from a given point
|
SearchWindowOriginIsRegion
geo_production: 487
The search window was received from a given region
|
IsMapsRequest
geo_production: 490
Request with Byak
|
IsTouchMapsRequest
geo_production: 491
Request from the plug
|
IsMobiRequest
geo_production: 492
Request from mobile cards
|
IsNaviRequest
geo_production: 493
Request from the navigator
|
IsSerpRequest
geo_production: 494
A request from a sickle
|
OriginalRequestHasGeo
geo_production: 497
There is some geography in the request
|
OriginalRequestNoWhat
geo_production: 498
The request is exclusively geography
|
OriginalRequestNWords
geo_production: 499
The number of words in the original request
|
WhatOnlyRequestNWords
geo_production: 500
The number of words when deleting geography
|
OriginalRequestIdfSum
geo_production: 501
Full IDF in the original request
|
WhatOnlyRequestIdfSum
geo_production: 502
Full IDF when deleting geography
|
OriginalRequestNWordsNoStop
geo_production: 503
The number of words in the original request (excluding stop words)
|
WhatOnlyRequestNWordsNoStop
geo_production: 504
The number of words when deleting geography (excluding stop words)
|
OriginalRequestIdfSumNoStop
geo_production: 505
Full IDF in the original request (excluding stop words)
|
WhatOnlyRequestIdfSumNoStop
geo_production: 506
Full IDF when deleting geography (excluding stop-words)
|
OriginalRequestIsRubricQuery
geo_production: 507
The original request is completely undergoing rubric analysis
|
WhatOnlyRequestIsRubricQuery
geo_production: 508
The request is completely undergoing rubric analysis after removing geography from the request
|
OriginalRequestIsPChainQuery
geo_production: 509
The original request is partially coated by the name Chain
|
WhatOnlyRequestIsPChainQuery
geo_production: 510
The request is partially coated by the name of Chain after removing geography from the request
|
OriginalRequestIsFChainQuery
geo_production: 511
The original request consists entirely of the name of Chain
|
WhatOnlyRequestIsFChainQuery
geo_production: 512
The request consists entirely of the name of Chain after removing geography from the request
|
OriginalRequestMainRubricExactMatch
geo_production: 513
The main section of the document is highlighted in full section
|
WhatOnlyRequestMainRubricExactMatch
geo_production: 514
The main section of the document is highlighted in full section
|
OriginalRequestPercRubricExactMatch
geo_production: 515
The share of the headings of the document in full section
|
WhatOnlyRequestPercRubricExactMatch
geo_production: 516
The share of the headings of the document in full section
|
OriginalRequestPChainMatch
geo_production: 517
The document refers to one of the networks, often. Covering the request
|
WhatOnlyRequestPChainMatch
geo_production: 518
The document refers to one of the networks, often. Covering the request
|
OriginalRequestFChainMatch
geo_production: 519
The document refers to one of the networks, full. Covering the request
|
WhatOnlyRequestFChainMatch
geo_production: 520
The document refers to one of the networks, full. Covering the request
|
OriginalRequestNumberCount
geo_production: 521
The number of numbers in the original request
|
WhatOnlyRequestNumberCount
geo_production: 522
Number of numbers when deleting geography
|
OriginalRequestNumberMatch
geo_production: 524
Number of numbers in the original request that coincided with the numbers of D-te
|
WhatOnlyRequestNumberMatch
geo_production: 525
Number of numbers in the original request that coincided with the numbers of D-te
|
DistanceFromRWWindowCenter
geo_production: 526
Distance to the window center of user request (in meters)
|
DistanceFromWWWindowCenter
geo_production: 527
Distance to the window center of the selected geography (in meters)
|
DistanceFromGeometryCenter
geo_production: 528
Distance to a good center of selected geography (in meters)
|
DistanceFromLinearGeometry
geo_production: 529
The distance to the road, as a highlighted geography (in meters). If the geography is not linear, then the factor is equal to fi_distance_from_geometry_center
|
MinimumOfRelevantDistances
geo_production: 530
Minimum from FI_DISTANCE_FROM_LINEAR_GEOMETRY, FI_DISTANCE_FROM_RW_WINDOW_Center. This factor does not include fi_distance_from_ww_window_center
|
MinimumOfPossibleDistances
geo_production: 531
The minimum among all 3 possible distances: fi_distance_from_linear_geometry, fi_distance_from_rw_window_center and fi_distance_from_ww_window_center
|
RWWindowDiameter
geo_production: 532
User request window diameter (in meters)
|
WWWindowDiameter
geo_production: 533
Diameter of the highlighted geography window (in meters)
|
DistanceFromRWWindowCenterByRWWindowDiameter
geo_production: 534
The ratio of the distance to the window center of the user request to the diameter of the user request window
|
DistanceFromWWWindowCenterByWWWindowDiameter
geo_production: 535
The ratio of the distance to the window center of the selected geography to the diameter of the highlighted geography window
|
DistanceFromGeometryCenterByWWWindowDiameter
geo_production: 536
The ratio of the distance to a good center of the selected geography to the diameter of the highlighted geography window
|
RWWindowAutoscaleMulFactor
geo_production: 537
Minimum coefficient> 0, when multiplying on which the user request window contains a document
|
WWWindowAutoscaleMulFactor
geo_production: 538
The minimum coefficient> 0, when multiplying on which the highlighted geography window contains a document
|
IsOutsideRequestedGeometry
geo_production: 539
The fact that the document is outside the polygonal geography
|
WebRubricQueryClassifierResult
geo_production: 540
Result of rubric query classifier that is based on geosearch web dssm
|
OriginalRequestTextHiRelevExact
geo_production: 541
|
OriginalRequestTextHiRelev
geo_production: 542
|
OriginalRequestTextHiRelevSynonym
geo_production: 543
|
WhatOnlyRequestTextHiRelevExact
geo_production: 544
|
WhatOnlyRequestTextHiRelev
geo_production: 545
|
WhatOnlyRequestTextHiRelevSynonym
geo_production: 546
|
OriginalRequestMaxNameCoverageExact
geo_production: 547
|
OriginalRequestMaxNameCoverageSynonym
geo_production: 548
|
OriginalRequestMaxQueryCoverageExact
geo_production: 549
|
OriginalRequestMaxQueryCoverageSynonym
geo_production: 550
|
OriginalRequestMaxNameAltCoverageExact
geo_production: 551
|
OriginalRequestMaxNameAltCoverageSynonym
geo_production: 552
|
WhatOnlyRequestMaxNameCoverageExact
geo_production: 553
|
WhatOnlyRequestMaxNameCoverageSynonym
geo_production: 554
|
WhatOnlyRequestMaxQueryCoverageExact
geo_production: 555
|
WhatOnlyRequestMaxQueryCoverageSynonym
geo_production: 556
|
WhatOnlyRequestMaxNameAltCoverageExact
geo_production: 557
|
WhatOnlyRequestMaxNameAltCoverageSynonym
geo_production: 558
|
OriginalRequestCompanyNamesBocm
geo_production: 559
|
OriginalRequestChainNamesBocm
geo_production: 560
|
OriginalRequestRubricBocm
geo_production: 561
|
WhatOnlyRequestCompanyNamesBocm
geo_production: 562
|
WhatOnlyRequestChainNamesBocm
geo_production: 563
|
WhatOnlyRequestRubricBocm
geo_production: 564
|
OriginalRequestNameRubQueryCoverageExact
geo_production: 565
|
OriginalRequestNameRubQueryCoverageSyn
geo_production: 566
|
WhatOnlyRequestNameRubQueryCoverageExact
geo_production: 567
|
WhatOnlyRequestNameRubQueryCoverageSyn
geo_production: 568
|
OriginalRequestNameRubQueryCoverageNoTrashExact
geo_production: 569
|
OriginalRequestNameRubQueryCoverageNoTrashSyn
geo_production: 570
|
WhatOnlyRequestNameRubQueryCoverageNoTrashExact
geo_production: 571
|
WhatOnlyRequestNameRubQueryCoverageNoTrashSyn
geo_production: 572
|
OriginalRequestQuorumValue
geo_production: 573
|
WhatOnlyRequestQuorumValue
geo_production: 574
|
OriginalRequestNeedNavUrl
geo_production: 575
|
WhatOnlyRequestNeedNavUrl
geo_production: 576
|
OriginalRequestQuorumWithNoAttrs
geo_production: 577
|
WhatOnlyRequestQuorumWithNoAttrs
geo_production: 578
|
OriginalRequestQuorumWithNoPosRubrics
geo_production: 579
|
WhatOnlyRequestQuorumWithNoPosRubrics
geo_production: 580
|
OriginalRequestFeaturesQuorum
geo_production: 581
Kvorum values for hits in attributes of signs for the vertical Request Window
|
WhatOnlyRequestFeaturesQuorum
geo_production: 582
Kvorum values for hits in attributes of signs for the vertical What Were
|
OriginalRequestRatingDistanceRubricTradeoffV2
geo_production: 583
Function of the exchange of rating at a distance
|
WhatOnlyRequestRatingDistanceRubricTradeoffV2
geo_production: 584
Function of the exchange of rating at a distance
|
BoostingRequestRatingDistanceRubricTradeoffV2
geo_production: 585
Function of the exchange of rating at a distance
|
OriginalRequestAttrsQuorum
geo_production: 586
|
WhatOnlyRequestAttrsQuorum
geo_production: 587
|
OriginalRequestAcceptDoc
geo_production: 588
|
WhatOnlyRequestAcceptDoc
geo_production: 589
|
GeosearchDssmRubrics
geo_production: 590
|
DistilledNewRelevBert
geo_production: 591
Predicated by reviews relevance, https://st.yandex-team.ru/geosearch-6912#62972343E692CC36F87B142C
|
TopListScore
geo_production: 593
|
DistilledRelevBertUrls
geo_production: 594
|
OrgToRegularCoordsMinDistance
geo_personal: 1
The distance from the organization to the nearest regular user coordinates, normalized by 500 km. Equal 2. if regular coordinates are unknown
|
MetaDocStatusWorseThenOther
geo_experiment: 19
The organization is not OK, but we find better
|
MetaDocStatusWorseThenOtherInVertical
geo_experiment: 20
The organization is not OK, but we find better inside the vertical
|
RatingDistanceRubricTradeoffExperimental
geo_experiment: 21
Function of the exchange of rating at a distance.
|
RatingDistanceRubricExperimental
geo_experiment: 22
Flag boost Lee Category
|
RubricTimePopularity
geo_recommendations: 0
The popularity of the heading depending on the time
|
RecommendationsUserRubricQuery
geo_recommendations: 92
P+K+user's DC in the Request section. Suspended
|
RecommendationsUserChainQuery
geo_recommendations: 94
P+K+user DC in the network in the request. Suspended
|
RealDistanceCut
geo_recommendations: 105
Cuttled distance to the organization
|
MmCtrTimed
geo_recommendations_experiment: 8
Rubric Ctr on Metrika Mobile
|
PriceRate
geo_hotels: 25
Price rating for sorting by price (more expensive)
|
MARKET_CLICK_SIM_QS_BOW
goods_production: 2793
Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector
|
MARKET_CLICK_SIM_QS
goods_production: 2794
Query-to-doc click similarity factor (query-side)
|
MARKET_CLICK_SIM_QS_QFUF
goods_production: 2795
Query-to-doc click similarity factor (query-side), with query vector initialized from qfuf expansions
|
MARKET_CLICK_SIM_BOW_MIN_ANN_WEIGHT
goods_production: 2796
Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector, min ann weight
|
MARKET_CLICK_SIM_MAX_NOT_MATCHED_QUERY_WORD_WEIGHT
goods_production: 2797
Max weight of a word from click similarity query vector which is not found in CS document vector
|
MARKET_CLICK_SIM_MAX_NOT_MATCHED_QFUF_QUERY_WORD_WEIGHT
goods_production: 2798
Max weight of a word from click similarity qfuf query vector which is not found in CS document vector
|
GeometricFeaturesIntersectionSize
images_cbir: 39
|
LeastFacesDistV2
images_cbir: 44
|
WorstFacesDistV2
images_cbir: 45
|
CropToRespDist
images_cbir: 47
|
ArgMinDist
images_cbir: 49
|
LeastFacesDistV3
images_cbir: 53
|
CropToRespDistV5
images_cbir: 56
|
I2TDistanceV7
images_cbir: 57
|
V6TolokaEncoderDistance
images_cbir: 58
|
CropToRespDistV6
images_cbir: 60
|
I2TDistanceV8
images_cbir: 61
|
LeastFacesDistV4
images_cbir: 64
|
FacesCosDistV4
images_cbir: 65
|
V7TolokaEncoderDistance
images_cbir: 66
|
CropToRespDistV7
images_cbir: 68
|
I2TDistanceV9
images_cbir: 69
|
GeomIntersectionBigSize
images_cbir: 74
|
GeomIntersectionValidSize
images_cbir: 75
|
OcrAreaDiff
images_cbir: 81
|
OcrI2TV8
images_cbir: 82
|
OcrI2TV9
images_cbir: 83
|
V8TolokaEncoderDistance
images_cbir: 103
|
CropToRespDistV8
images_cbir: 105
|
I2TDistanceV10
images_cbir: 106
|
OcrI2TV10
images_cbir: 107
|
V9TolokaEncoderDistance
images_cbir: 108
|
CropToRespDistV9
images_cbir: 110
|
I2TDistanceV11
images_cbir: 111
|
OcrI2TV11
images_cbir: 112
|
BigClickCluster
images_cbir: 113
|
IndexClusterDistance
images_cbir: 115
|
V10TolokaEncoderDistance
images_cbir: 118
|
CropToRespDistV10
images_cbir: 120
|
V10MarketEncoderDistance
images_cbir: 121
|
LeastFacesDistV5
images_cbir: 124
|
FacesCosDistV5
images_cbir: 125
|
ClothesColorHue
images_cbir: 130
|
ClothesColorSaturation
images_cbir: 131
|
ClothesColorValue
images_cbir: 132
|
ClothesRequestColorHue
images_cbir: 133
|
ClothesRequestColorSaturation
images_cbir: 134
|
ClothesRequestColorValue
images_cbir: 135
|
ClothesDiffColorHue
images_cbir: 136
|
ClothesDiffColorSaturation
images_cbir: 137
|
ClothesDiffColorValue
images_cbir: 138
|
ClothesV8Distance
images_cbir: 139
|
ClothesV9Distance
images_cbir: 140
|
ClothesCategoryDiff
images_cbir: 149
|
ClothesQvsBIFemale
images_cbir: 151
|
ClothesQvsBIInfant
images_cbir: 152
|
ClothesQvsIIFemale
images_cbir: 153
|
ClothesQvsIIInfant
images_cbir: 154
|
CbirDup
images_cbir: 167
|
CbirRelP
images_cbir: 168
|
CbirRelM
images_cbir: 169
|
CbirRelDiff
images_cbir: 170
|
CbirINormDup
images_cbir: 171
|
CbirINormRelM
images_cbir: 172
|
CbirMobile
images_cbir: 179
|
CbirMarket
images_cbir: 180
|
CbirClothesLook
images_cbir: 181
|
LeastFacesDistV6
images_cbir: 185
|
FacesCosDistV6
images_cbir: 186
|
QueryTextI2TDistanceV11
images_cbir: 192
|
V10_1MarketEncoderDistance
images_cbir: 291
|
ClothesV10Distance
images_cbir: 292
|
ClothesNNCategoryQTop1
images_cbir: 293
|
ClothesNNCategoryMatchTop4
images_cbir: 295
|
ClothesNNCategoryQTop1ITop4
images_cbir: 296
|
ClothesNNCategoryITop1QTop4
images_cbir: 297
|
ClothesColorDistance
images_cbir: 298
|
I2TDistanceV12
images_cbir: 299
|
QueryTextI2TDistanceV12
images_cbir: 300
|
OcrI2TV12
images_cbir: 301
|
I2TDistanceV13
images_cbir: 302
|
QueryTextI2TDistanceV13
images_cbir: 303
|
BigClickClusterV12
images_cbir: 304
|
IndexClusterDistanceV12
images_cbir: 306
|
BigClickClusterV13
images_cbir: 309
|
IndexClusterDistanceV13
images_cbir: 311
|
V12TolokaEncoderDistance
images_cbir: 314
|
V12MarketEncoderDistance
images_cbir: 315
|
CropToRespDistV12
images_cbir: 317
|
CbirDupV12
images_cbir: 318
|
CbirRelPV12
images_cbir: 319
|
CbirRelMV12
images_cbir: 320
|
CbirRelDiffV12
images_cbir: 321
|
CbirINormDupV12
images_cbir: 322
|
CbirINormRelMV12
images_cbir: 323
|
OcrI2TV13
images_cbir: 324
|
I2TDistanceV12V13
images_cbir: 325
|
QueryTextI2TDistanceV12V13
images_cbir: 326
|
ImageQueryShowsRequests
images_l1: 7
|
QueryClusterInterior
images_l1: 9
The proximity of the request to the interiors Classm based on T2T DSSM
|
QueryClusterErotic
images_l1: 10
The proximity of the request to the Erotic Claus based on T2T DSSM
|
QueryClusterVectorImages
images_l1: 13
The proximity of the request to the Clauster [interesting vector drawings] based on T2T DSSM
|
ImageQueryWallpaperProbGivenNoClick
images_l1: 14
|
ImageQueryClipartProbGivenNoClick
images_l1: 16
|
ImageQueryLineartProbGivenNoClick
images_l1: 18
|
ImageQueryPhotoProbGivenClick
images_l1: 19
|
ImageQueryPhotoProbGivenNoClick
images_l1: 20
|
ImageQueryDoppFaceProbGivenClick
images_l1: 21
|
QueryClusterCassiManer
images_l1: 22
The proximity of the request to [Cassi Maner] (probably a generalized female name) based on i2T dSSM
|
QueryClusterTajik
images_l1: 23
BLACES Naproese KlamaCter districts of the country of domestic and Mir Said Ali Khamadoni Bobuy] on the Osney I2T DSSM
|
ImageQueryDoppPhotoProbGivenClick
images_l1: 24
|
ImageQueryDoppPhotoProbGivenNoClick
images_l1: 25
|
QueryClusterTvSeries
images_l1: 26
The proximity of the request to the cluster of TV shows based on i2t dssm
|
ImageQueryDoppTolokaAverageOK
images_l1: 32
Average probability of OK judgment on all urls for query in toloka cleaning top queries (dopp)
|
QueryWord1Weight
images_l1: 41
Word weight from TRIterator->GetHitInfo() for first word
|
QueryWord2Weight
images_l1: 42
Word weight from TRIterator->GetHitInfo() for second word
|
QueryWord3Weight
images_l1: 43
Word weight from TRIterator->GetHitInfo() for third word
|
QueryMaxWordWeight
images_l1: 44
Max word weight from TRIterator->GetHitInfo() for all words
|
QueryMinWordWeight
images_l1: 45
Min word weight from TRIterator->GetHitInfo() for all words
|
PantherWordCount
images_l1: 46
Word count in panther request (wordCount / (wordCount + 1.0))
|
PantherMatchedWordCountRation
images_l1: 47
(matchedWordCount + 1.0) / (wordCount + 1.0)
|
ImageClickSimQs
images_l1: 48
Query-to-doc click similarity factor (query-side)
|
QueryVcomm
images_l1: 52
Query commerce classifier vcomm
|
ImageQueryDlRelevanceV11
images_l1: 53
Relevance of the image based on dl features Version 11
|
PantherMatchedWordWeightRation
images_l1: 54
(matchedWordWeight + 1.0) / (allWordWeight + 1.0)
|
ImageClickSimQsBow
images_l1: 55
Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector
|
QueryWideness1vs23
images_l1: 56
Widespread request 1 category versus 2.3
|
QueryWideness12vs3
images_l1: 57
Widespread request 1.2 Category versus 3
|
ImageQueryDlRelevanceV10
images_l1: 58
Relevance of the image based on dl features Version 10
|
ImageText2TextRelevanceV2
images_l1: 59
Relevance of the image based on DSSM query + features of selected links
|
ImageWallpaperQuery
images_l1: 62
|
DssmRandomLogQueryAvgDifferentInternalLinks
images_l1: 63
The average DifferentinTernallinks for the year for the year.
|
CountryQueryRegionality
images_l1: 64
Country classifier of localization - how much the request implies the context of the country
|
RandomLogQueryAvgDifferentInternalLinks
images_l1: 73
The average value is DifferentinTernallinks for the year. It is calculated in offline.
|
LongQuery
images_l1: 75
The amount of IDF words of the request. The name does not reflect the essence: for example, for the request of 'Gadyach' this factor will be more than for the request of 'Moscow Peter Yekaterinburg Samara'.
|
IsRelevLocaleRu
images_l1: 76
Relev_locale == ru
|
ReqBundleDocSimI2T
images_l1: 77
Similarity of doc and query expansions (image to text)
|
ImageText2TextBundleRelevanceV2
images_l1: 78
Relevance of the image based on dssm query extensions + features of selected links
|
ImageClickSimQFuf
images_l1: 79
Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector from Qfuf lb extensions
|
CountrySpecificQueryFromFixlist
images_l1: 80
Request from the list of Nursericulus requests
|
ImageClickSimQsIsRegional
images_l1: 81
Fi_Image_Click_SIM_QS factor is calculated on request + user region (or country)
|
QueryLongestDigitSequenceLength
images_l1: 82
|
QueryClusterNature
images_l1: 83
The proximity of the request to [Nature of the world photo] based on i2t dssm
|
QueryThEncyclopedic
images_l1: 84
The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561
|
RandomLogQueryAvgHasNoAllWordsTRSy
images_l1: 86
The average Hasnoallwordstersy value for the year. It is calculated in offline.
|
ImageQuery
images_l1: 89
|
QueryWithPhotoMarker
images_l1: 90
Query Has Photo Marker (photo, Photo, Foto, etc.)
|
ImageEngQuery
images_l1: 91
|
QueryClusterFood
images_l1: 92
The proximity of the cluster request [Barukov’s food with impregnation] based on i2t dssm
|
QueryClusterUnknownPerson
images_l1: 94
The proximity of the request to the Clauster [Chukraev Yuri village Bulanash] based on i2t DSSM
|
QueryClusterHaircut
images_l1: 95
The proximity of the request to the cluster of haircuts based on T2T DSSM
|
QueryClusterCraftworks
images_l1: 96
The proximity of the query cluster based on T2T DSSM
|
QueryClusterTools
images_l1: 97
The proximity of the Clauster of T2T DSSM -based clicter
|
IsForeignQuery
images_l1: 98
Request is not in Russian
|
VideoQuery
images_l1: 99
Request about the video
|
ImagesIntent
images_l1: 100
Shows if query is specific for images according to quotient of web and images pure frequencies
|
IsOrg
images_l1: 101
The request is the name of the organization (example: Gazprom, Gazprom) ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees Description))
|
IsRelevLocaleKZ
images_l1: 102
relev_locale == kz
|
IsPicture
images_l1: 103
It launches on the basic search under the name Ispicture the maximum weight of the Picture or Picture1 category of the category of the category of the category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ispicture))))))))))))))))))
|
MaxOne
images_l1: 104
Returns the maximum degree of household objects in the request under the name Wmaxone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#maxone more)))))))
|
MinOne
images_l1: 105
Returns the maximum degree of household objects in the request under the name Wminone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#minone more)))))
|
IsHum
images_l1: 106
It launches on the basic search under the name ISHUM the maximum weight of the enclosed object of the Hum or Hum1 category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ishum more)))))
|
YabarWordDepthNodesGradientMin
images_l1: 107
The angle in the Depth Nodes space, counted only by words (min for all)
|
WaresGeo
images_l1: 108
Wares geo feature
|
WaresSoft
images_l1: 109
Wares soft feature
|
WaresIntent
images_l1: 110
Wares intent feature
|
QClassDownload
images_l1: 112
= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen
|
ImagesMaxAge
images_l1: 115
Maximum age of images
|
IsRelevLocaleUA
images_l1: 122
Relev_locale == ua
|
RandomLogWordMaxHasNoTr
images_l1: 130
For each word offline, the average Hasnotr meaning is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.
|
MisspellLmRtlNgrWebMtOriginal
images_l1: 131
Summary of the Skorov words of the request by the Web-Mt language model.
|
DssmRandomLogQueryAvgRegBrowserUserHub
images_l1: 136
The average value of Regbrowseruserhub for the year for a year predicted using a neural network.
|
DssmRandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
images_l1: 137
The Malue Network DwellTime-AMI predicted using the neural network is the value of Urldomainfraction for the year.
|
DssmRandomLogQueryAvgTextLike
images_l1: 138
The average Textlike is predicted using a neural network for the year.
|
DssmBoostingXfOneSeAmSsHardQueryMutationAddFixedYearWordRenormedDistance
images_l1: 139
Characterizes the request for the degree of change from the addition of a fixed word (number of some year), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
|
DssmRandomLogQueryAvgIsForum
images_l1: 140
The average ISFORUM is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgAddTime
images_l1: 141
ADDTIME ADDTIME is predicted using a neural network for a year.
|
RandomLogWordSkipStopWordsMaxDBM40
images_l1: 142
For each word offline, the average DBM40 value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
|
DssmRandomLogQueryAvgIsIndexPage
images_l1: 143
The average ISindEXPAGE is predicted using a neural network for the year.
|
ImageClickSimBowMinAnnWeight
images_l1: 144
Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector, min ann weight
|
ImageClickSimMaxNotMatchedQueryWordWeight
images_l1: 145
Max weight of a word from click similarity query vector which is not found in CS document vector
|
ImageClickSimMaxNotMatchedQfufQueryWordWeight
images_l1: 146
Max weight of a word from click similarity qfuf query vector which is not found in CS document vector
|
QueryMeanShownPages
images_l1: 147
The average number of viewed pages on request / (average number of pages + 100)
|
ImageQueryDlBundleRelevanceV10
images_l1: 149
Relevance of the image based on dl features Version 10
|
RealImagesMaxAgeFromRequestFull
images_l1: 150
(images age over request) / (iamges age over request + 1440). Used only in fresh search
|
GeometricFeaturesIntersectionSize
images_market_l4: 1
|
ArgMinDist
images_market_l4: 5
|
FacesCosDistV4
images_market_l4: 8
|
V7TolokaEncoderDistance
images_market_l4: 9
|
CropToRespDistV7
images_market_l4: 11
|
I2TDistanceV9
images_market_l4: 12
|
GeomIntersectionBigSize
images_market_l4: 17
|
GeomIntersectionValidSize
images_market_l4: 18
|
OcrAreaDiff
images_market_l4: 24
|
OcrI2TV8
images_market_l4: 25
|
OcrI2TV9
images_market_l4: 26
|
ImageTitleDistance
images_market_l4: 35
|
V8TolokaEncoderDistance
images_market_l4: 36
|
CropToRespDistV8
images_market_l4: 38
|
I2TDistanceV10
images_market_l4: 39
|
ImageTitleDistanceI2Tv10
images_market_l4: 40
|
OcrTitleDistance
images_market_l4: 41
|
OcrTitleTokensIntersection
images_market_l4: 42
|
OcrTitleTokensIntersectionNormalized
images_market_l4: 43
|
TopTokenEntry
images_market_l4: 44
|
TopTokenEntryDistance
images_market_l4: 45
|
ClothesL2DistV3
images_market_l4: 46
|
ClothesQvsTGenderF
images_market_l4: 59
|
ClothesQvsTCat0
images_market_l4: 61
|
ClothesQvsTCat1
images_market_l4: 62
|
ClothesQvsTCat2
images_market_l4: 63
|
ClothesQvsTCat3
images_market_l4: 64
|
ClothesQvsTCat4
images_market_l4: 65
|
ClothesQvsTCat5
images_market_l4: 66
|
ClothesQvsTCat6
images_market_l4: 67
|
ClothesQvsTCat7
images_market_l4: 68
|
ClothesQvsTCat8
images_market_l4: 69
|
ClothesQvsTCat9
images_market_l4: 70
|
ClothesQvsTCat10
images_market_l4: 71
|
ClothesQvsTCat11
images_market_l4: 72
|
ClothesQvsIGenderF
images_market_l4: 73
|
ClothesQvsICat0
images_market_l4: 75
|
ClothesQvsICat1
images_market_l4: 76
|
ClothesQvsICat2
images_market_l4: 77
|
ClothesQvsICat3
images_market_l4: 78
|
ClothesQvsICat4
images_market_l4: 79
|
ClothesQvsICat5
images_market_l4: 80
|
ClothesQvsICat6
images_market_l4: 81
|
ClothesQvsICat7
images_market_l4: 82
|
ClothesQvsICat8
images_market_l4: 83
|
ClothesQvsICat9
images_market_l4: 84
|
ClothesQvsICat10
images_market_l4: 85
|
ClothesQvsICat11
images_market_l4: 86
|
ClothesTvsIGenderF
images_market_l4: 87
|
ClothesTvsICat0
images_market_l4: 89
|
ClothesTvsICat1
images_market_l4: 90
|
ClothesTvsICat2
images_market_l4: 91
|
ClothesTvsICat3
images_market_l4: 92
|
ClothesTvsICat4
images_market_l4: 93
|
ClothesTvsICat5
images_market_l4: 94
|
ClothesTvsICat6
images_market_l4: 95
|
ClothesTvsICat7
images_market_l4: 96
|
ClothesTvsICat8
images_market_l4: 97
|
ClothesTvsICat9
images_market_l4: 98
|
ClothesTvsICat10
images_market_l4: 99
|
ClothesTvsICat11
images_market_l4: 100
|
ClothesIBoxProbability
images_market_l4: 101
|
ClothesColorHue
images_market_l4: 102
|
ClothesColorSaturation
images_market_l4: 103
|
ClothesColorValue
images_market_l4: 104
|
ClothesRequestColorHue
images_market_l4: 105
|
ClothesRequestColorSaturation
images_market_l4: 106
|
ClothesRequestColorValue
images_market_l4: 107
|
ClothesDiffColorHue
images_market_l4: 108
|
ClothesDiffColorSaturation
images_market_l4: 109
|
ClothesDiffColorValue
images_market_l4: 110
|
OcrI2TV10
images_market_l4: 111
|
OcrI2TV11
images_market_l4: 112
|
ImageTitleDistanceI2Tv11
images_market_l4: 113
|
V9TolokaEncoderDistance
images_market_l4: 114
|
CropToRespDistV9
images_market_l4: 116
|
I2TDistanceV11
images_market_l4: 117
|
ClothesCosDist
images_market_l4: 118
|
V10TolokaEncoderDistance
images_market_l4: 119
|
CropToRespDistV10
images_market_l4: 121
|
V10MarketEncoderDistance
images_market_l4: 122
|
ClothesV9Distance
images_market_l4: 123
|
ClothesCategoryDiff
images_market_l4: 128
|
ClothesQvsIIFemale
images_market_l4: 129
|
ClothesQvsIIInfant
images_market_l4: 130
|
MarketCategoryNameI2TDist
images_market_l4: 137
|
MarketCategoryFullNameI2TDist
images_market_l4: 138
|
DescriptionI2TDist
images_market_l4: 139
|
MarketDocumentAndDetectedNearestCommonCategoryPathDist
images_market_l4: 140
|
MarketDocumentAndDetectedNearestCommonCategory
images_market_l4: 141
|
MarketNearestDetectedCategoryNameI2TDist
images_market_l4: 142
|
MarketNearestDetectedCategoryFullNameI2TDist
images_market_l4: 143
|
MarketNearestCommonCategoryNameI2TDist
images_market_l4: 144
|
MarketNearestCommonCategoryFullNameI2TDist
images_market_l4: 145
|
MarketDocumentAndDetectedNearestCommonCategoryCommonPathDist
images_market_l4: 148
|
MarketDocumentAndDetectedNearestCommonCategoryPathDistRel
images_market_l4: 149
|
MarketDocumentAndDetectedNearestCommonCategoryCommonPathDistRel
images_market_l4: 150
|
ClothesI2TDistMax
images_market_l4: 158
|
ClothesI2TDistMin
images_market_l4: 159
|
ClothesI2TDistMean
images_market_l4: 160
|
ClothesHueDistMax
images_market_l4: 161
|
ClotehsHueDistMin
images_market_l4: 162
|
ClothesHueDistMean
images_market_l4: 163
|
ClothesSaturationDistMax
images_market_l4: 164
|
ClothesSaturationDistMin
images_market_l4: 165
|
ClothesSaturationDistMean
images_market_l4: 166
|
ClothesValueDistMax
images_market_l4: 167
|
ClothesValueDistMin
images_market_l4: 168
|
ClothesValueDistMean
images_market_l4: 169
|
ClothesPriceDistMax
images_market_l4: 170
|
ClothesPriceDistMin
images_market_l4: 171
|
ClothesPriceDistMean
images_market_l4: 172
|
ClothesTitleDistMax
images_market_l4: 173
|
ClothesTitleDistMin
images_market_l4: 174
|
ClothesTitleDistMean
images_market_l4: 175
|
ClothesDescDistMax
images_market_l4: 176
|
ClothesDescDistMin
images_market_l4: 177
|
ClothesDescDistMean
images_market_l4: 178
|
ClothesI2TDistBest
images_market_l4: 179
|
ClothesTitleDistBest
images_market_l4: 180
|
ClothesDescDistBest
images_market_l4: 181
|
QueryCropArea
images_market_l4: 190
|
ClothesTopCategory
images_market_l4: 191
|
ClothesTopCategoryCount
images_market_l4: 192
|
ClothesI2TDistMaxSmallTop
images_market_l4: 193
|
ClothesI2TDistMinSmallTop
images_market_l4: 194
|
ClothesI2TDistMeanSmallTop
images_market_l4: 195
|
ClothesHueDistMaxSmallTop
images_market_l4: 196
|
ClotehsHueDistMinSmallTop
images_market_l4: 197
|
ClothesHueDistMeanSmallTop
images_market_l4: 198
|
ClothesSaturationDistMaxSmallTop
images_market_l4: 199
|
ClothesSaturationDistMinSmallTop
images_market_l4: 200
|
ClothesSaturationDistMeanSmallTop
images_market_l4: 201
|
ClothesValueDistMaxSmallTop
images_market_l4: 202
|
ClothesValueDistMinSmallTop
images_market_l4: 203
|
ClothesValueDistMeanSmallTop
images_market_l4: 204
|
ClothesPriceDistMaxSmallTop
images_market_l4: 205
|
ClothesPriceDistMinSmallTop
images_market_l4: 206
|
ClothesPriceDistMeanSmallTop
images_market_l4: 207
|
ClothesTitleDistMaxSmallTop
images_market_l4: 208
|
ClothesTitleDistMinSmallTop
images_market_l4: 209
|
ClothesTitleDistMeanSmallTop
images_market_l4: 210
|
ClothesDescDistMaxSmallTop
images_market_l4: 211
|
ClothesDescDistMinSmallTop
images_market_l4: 212
|
ClothesDescDistMeanSmallTop
images_market_l4: 213
|
ClothesI2TDistBestSmallTop
images_market_l4: 214
|
ClothesTitleDistBestSmallTop
images_market_l4: 215
|
ClothesDescDistBestSmallTop
images_market_l4: 216
|
ClothesTopCategorySmallTop
images_market_l4: 217
|
ClothesTopCategoryCountSmallTop
images_market_l4: 218
|
MarketPassageCount
images_market_l4: 269
Number of passage links with market url in document
|
PokupkiPassageCount
images_market_l4: 270
Number of passage links with pokupki url in document
|
I2TDistanceV12
images_market_l4: 309
|
OcrI2TV12
images_market_l4: 310
|
V10_1MarketEncoderDistance
images_market_l4: 311
|
ImageTitleDistanceI2TV13
images_market_l4: 312
|
MarketFullImage4TitleDistanceI2TV13
images_market_l4: 313
|
TopTokenEntryV13Distance
images_market_l4: 314
|
MarketTopTokenEntryFullImageV13Dist
images_market_l4: 315
|
OcrTitleDistanceV13
images_market_l4: 316
|
V12TolokaEncoderDistance
images_market_l4: 317
|
V12MarketEncoderDistance
images_market_l4: 318
|
CropToRespDistV12
images_market_l4: 320
|
OcrI2TV13
images_market_l4: 321
|
I2TDistanceV12V13
images_market_l4: 322
|
QueryTextI2TDistanceV12V13
images_market_l4: 323
|
ClothesTitleV13DistMax
images_market_l4: 324
|
ClothesTitleV13DistMin
images_market_l4: 325
|
ClothesTitleV13DistMean
images_market_l4: 326
|
ClothesDescV13DistMax
images_market_l4: 327
|
ClothesDescV13DistMin
images_market_l4: 328
|
ClothesDescV13DistMean
images_market_l4: 329
|
ClothesI2TV12DistBest
images_market_l4: 330
|
ClothesTitleV12DistBest
images_market_l4: 331
|
ClothesDescV12DistBest
images_market_l4: 332
|
ClothesTitleV13DistMaxSmallTop
images_market_l4: 333
|
ClothesTitleV13DistMinSmallTop
images_market_l4: 334
|
ClothesTitleV13DistMeanSmallTop
images_market_l4: 335
|
ClothesDescV13DistMaxSmallTop
images_market_l4: 336
|
ClothesDescV13DistMinSmallTop
images_market_l4: 337
|
ClothesDescV13DistMeanSmallTop
images_market_l4: 338
|
ClothesI2TV12DistBestSmallTop
images_market_l4: 339
|
ClothesTitleV13DistBestSmallTop
images_market_l4: 340
|
ClothesDescV13DistBestSmallTop
images_market_l4: 341
|
MarketCategoryNameI2TV13Dist
images_market_l4: 342
|
MarketCategoryFullNameI2TV13Dist
images_market_l4: 343
|
DescriptionI2TV13Dist
images_market_l4: 344
|
MarketNearestDetectedCategoryNameI2TV13Dist
images_market_l4: 345
|
MarketNearestDetectedCategoryFullNameI2TV13Dist
images_market_l4: 346
|
MarketNearestCommonCategoryNameI2TV13Dist
images_market_l4: 347
|
MarketNearestCommonCategoryFullNameI2TV13Dist
images_market_l4: 348
|
MarketCategoryFullNameI2TFullImageV13Dist
images_market_l4: 349
|
MarketCategoryNameI2TFullImageV13Dist
images_market_l4: 350
|
MarketFullImageDescriptionI2TV13Dist
images_market_l4: 351
|
ClothesI2TV12DistMax
images_market_l4: 352
|
ClothesV12I2TDistMin
images_market_l4: 353
|
ClothesI2TV12DistMean
images_market_l4: 354
|
ClothesI2TV12DistMaxSmallTop
images_market_l4: 355
|
ClothesI2TV12DistMinSmallTop
images_market_l4: 356
|
ClothesI2TV12DistMeanSmallTop
images_market_l4: 357
|
CbirDup
images_market_l4: 408
|
CbirRelP
images_market_l4: 409
|
CbirRelM
images_market_l4: 410
|
CbirINormDup
images_market_l4: 411
|
CbirINormRelM
images_market_l4: 412
|
CbirMobile
images_market_l4: 415
|
CbirMarket
images_market_l4: 416
|
CbirClothesLook
images_market_l4: 417
|
BigClickClusterV13
images_market_l4: 423
|
ClothesQFullImageGenderM
images_market_l4: 427
|
ClothesQFulLImageGenderF
images_market_l4: 428
|
ClothesQFullImageAgeI
images_market_l4: 429
|
ClothesQFullImageAgeA
images_market_l4: 430
|
ClothesQVsTFullImageGender
images_market_l4: 431
|
ClothesQVsTFullImageAge
images_market_l4: 432
|
ClothesQVsIFullFullImageGender
images_market_l4: 433
|
ClothesQVsIFullCropImageGender
images_market_l4: 434
|
ClothesQVsIFullFullImageAge
images_market_l4: 435
|
ClothesQVsIFullCropImageAge
images_market_l4: 436
|
MarketCategoryNameI2TFullImageDist
images_market_l4: 437
|
MarketCategoryFullNameI2TFullImageDist
images_market_l4: 438
|
MarketTopTokenEntryFullImageDist
images_market_l4: 439
|
MarketFullImage4TitleDistanceI2TV11
images_market_l4: 440
|
MarketFullImageDescriptionI2TDist
images_market_l4: 441
|
GeometricFeaturesIntersectionSize
images_market: 1
|
ArgMinDist
images_market: 5
|
FacesCosDistV4
images_market: 8
|
V7TolokaEncoderDistance
images_market: 9
|
CropToRespDistV7
images_market: 11
|
I2TDistanceV9
images_market: 12
|
GeomIntersectionBigSize
images_market: 17
|
GeomIntersectionValidSize
images_market: 18
|
OcrAreaDiff
images_market: 24
|
OcrI2TV8
images_market: 25
|
OcrI2TV9
images_market: 26
|
ImageTitleDistance
images_market: 35
|
V8TolokaEncoderDistance
images_market: 36
|
CropToRespDistV8
images_market: 38
|
I2TDistanceV10
images_market: 39
|
ImageTitleDistanceI2Tv10
images_market: 40
|
OcrTitleDistance
images_market: 41
|
OcrTitleTokensIntersection
images_market: 42
|
OcrTitleTokensIntersectionNormalized
images_market: 43
|
TopTokenEntry
images_market: 44
|
TopTokenEntryDistance
images_market: 45
|
ClothesL2DistV3
images_market: 46
|
ClothesQvsTGenderF
images_market: 59
|
ClothesQvsTCat0
images_market: 61
|
ClothesQvsTCat1
images_market: 62
|
ClothesQvsTCat2
images_market: 63
|
ClothesQvsTCat3
images_market: 64
|
ClothesQvsTCat4
images_market: 65
|
ClothesQvsTCat5
images_market: 66
|
ClothesQvsTCat6
images_market: 67
|
ClothesQvsTCat7
images_market: 68
|
ClothesQvsTCat8
images_market: 69
|
ClothesQvsTCat9
images_market: 70
|
ClothesQvsTCat10
images_market: 71
|
ClothesQvsTCat11
images_market: 72
|
ClothesQvsIGenderF
images_market: 73
|
ClothesQvsICat0
images_market: 75
|
ClothesQvsICat1
images_market: 76
|
ClothesQvsICat2
images_market: 77
|
ClothesQvsICat3
images_market: 78
|
ClothesQvsICat4
images_market: 79
|
ClothesQvsICat5
images_market: 80
|
ClothesQvsICat6
images_market: 81
|
ClothesQvsICat7
images_market: 82
|
ClothesQvsICat8
images_market: 83
|
ClothesQvsICat9
images_market: 84
|
ClothesQvsICat10
images_market: 85
|
ClothesQvsICat11
images_market: 86
|
ClothesTvsIGenderF
images_market: 87
|
ClothesTvsICat0
images_market: 89
|
ClothesTvsICat1
images_market: 90
|
ClothesTvsICat2
images_market: 91
|
ClothesTvsICat3
images_market: 92
|
ClothesTvsICat4
images_market: 93
|
ClothesTvsICat5
images_market: 94
|
ClothesTvsICat6
images_market: 95
|
ClothesTvsICat7
images_market: 96
|
ClothesTvsICat8
images_market: 97
|
ClothesTvsICat9
images_market: 98
|
ClothesTvsICat10
images_market: 99
|
ClothesTvsICat11
images_market: 100
|
ClothesIBoxProbability
images_market: 101
|
ClothesColorHue
images_market: 102
|
ClothesColorSaturation
images_market: 103
|
ClothesColorValue
images_market: 104
|
ClothesRequestColorHue
images_market: 105
|
ClothesRequestColorSaturation
images_market: 106
|
ClothesRequestColorValue
images_market: 107
|
ClothesDiffColorHue
images_market: 108
|
ClothesDiffColorSaturation
images_market: 109
|
ClothesDiffColorValue
images_market: 110
|
OcrI2TV10
images_market: 111
|
OcrI2TV11
images_market: 112
|
ImageTitleDistanceI2Tv11
images_market: 113
|
V9TolokaEncoderDistance
images_market: 114
|
CropToRespDistV9
images_market: 116
|
I2TDistanceV11
images_market: 117
|
ClothesCosDist
images_market: 118
|
V10TolokaEncoderDistance
images_market: 119
|
CropToRespDistV10
images_market: 121
|
V10MarketEncoderDistance
images_market: 122
|
ClothesV9Distance
images_market: 123
|
ClothesCategoryDiff
images_market: 128
|
ClothesQvsIIFemale
images_market: 129
|
ClothesQvsIIInfant
images_market: 130
|
MarketCategoryNameI2TDist
images_market: 137
|
MarketCategoryFullNameI2TDist
images_market: 138
|
DescriptionI2TDist
images_market: 139
|
MarketDocumentAndDetectedNearestCommonCategoryPathDist
images_market: 140
|
MarketDocumentAndDetectedNearestCommonCategory
images_market: 141
|
MarketNearestDetectedCategoryNameI2TDist
images_market: 142
|
MarketNearestDetectedCategoryFullNameI2TDist
images_market: 143
|
MarketNearestCommonCategoryNameI2TDist
images_market: 144
|
MarketNearestCommonCategoryFullNameI2TDist
images_market: 145
|
MarketDocumentAndDetectedNearestCommonCategoryCommonPathDist
images_market: 148
|
MarketDocumentAndDetectedNearestCommonCategoryPathDistRel
images_market: 149
|
MarketDocumentAndDetectedNearestCommonCategoryCommonPathDistRel
images_market: 150
|
ClothesI2TDistMax
images_market: 158
|
ClothesI2TDistMin
images_market: 159
|
ClothesI2TDistMean
images_market: 160
|
ClothesHueDistMax
images_market: 161
|
ClotehsHueDistMin
images_market: 162
|
ClothesHueDistMean
images_market: 163
|
ClothesSaturationDistMax
images_market: 164
|
ClothesSaturationDistMin
images_market: 165
|
ClothesSaturationDistMean
images_market: 166
|
ClothesValueDistMax
images_market: 167
|
ClothesValueDistMin
images_market: 168
|
ClothesValueDistMean
images_market: 169
|
ClothesPriceDistMax
images_market: 170
|
ClothesPriceDistMin
images_market: 171
|
ClothesPriceDistMean
images_market: 172
|
ClothesTitleDistMax
images_market: 173
|
ClothesTitleDistMin
images_market: 174
|
ClothesTitleDistMean
images_market: 175
|
ClothesDescDistMax
images_market: 176
|
ClothesDescDistMin
images_market: 177
|
ClothesDescDistMean
images_market: 178
|
ClothesI2TDistBest
images_market: 179
|
ClothesTitleDistBest
images_market: 180
|
ClothesDescDistBest
images_market: 181
|
QueryCropArea
images_market: 190
|
ClothesTopCategory
images_market: 191
|
ClothesTopCategoryCount
images_market: 192
|
ClothesI2TDistMaxSmallTop
images_market: 193
|
ClothesI2TDistMinSmallTop
images_market: 194
|
ClothesI2TDistMeanSmallTop
images_market: 195
|
ClothesHueDistMaxSmallTop
images_market: 196
|
ClotehsHueDistMinSmallTop
images_market: 197
|
ClothesHueDistMeanSmallTop
images_market: 198
|
ClothesSaturationDistMaxSmallTop
images_market: 199
|
ClothesSaturationDistMinSmallTop
images_market: 200
|
ClothesSaturationDistMeanSmallTop
images_market: 201
|
ClothesValueDistMaxSmallTop
images_market: 202
|
ClothesValueDistMinSmallTop
images_market: 203
|
ClothesValueDistMeanSmallTop
images_market: 204
|
ClothesPriceDistMaxSmallTop
images_market: 205
|
ClothesPriceDistMinSmallTop
images_market: 206
|
ClothesPriceDistMeanSmallTop
images_market: 207
|
ClothesTitleDistMaxSmallTop
images_market: 208
|
ClothesTitleDistMinSmallTop
images_market: 209
|
ClothesTitleDistMeanSmallTop
images_market: 210
|
ClothesDescDistMaxSmallTop
images_market: 211
|
ClothesDescDistMinSmallTop
images_market: 212
|
ClothesDescDistMeanSmallTop
images_market: 213
|
ClothesI2TDistBestSmallTop
images_market: 214
|
ClothesTitleDistBestSmallTop
images_market: 215
|
ClothesDescDistBestSmallTop
images_market: 216
|
ClothesTopCategorySmallTop
images_market: 217
|
ClothesTopCategoryCountSmallTop
images_market: 218
|
ClothesQFullImageGenderM
images_market: 219
|
ClothesQFulLImageGenderF
images_market: 220
|
ClothesQFullImageAgeI
images_market: 221
|
ClothesQFullImageAgeA
images_market: 222
|
ClothesQVsTFullImageGender
images_market: 223
|
ClothesQVsTFullImageAge
images_market: 224
|
ClothesQVsIFullFullImageGender
images_market: 225
|
ClothesQVsIFullCropImageGender
images_market: 226
|
ClothesQVsIFullFullImageAge
images_market: 227
|
ClothesQVsIFullCropImageAge
images_market: 228
|
MarketCategoryNameI2TFullImageDist
images_market: 229
|
MarketCategoryFullNameI2TFullImageDist
images_market: 230
|
MarketTopTokenEntryFullImageDist
images_market: 231
|
MarketFullImage4TitleDistanceI2TV11
images_market: 232
|
MarketFullImageDescriptionI2TDist
images_market: 233
|
MarketPassageCount
images_market: 281
Number of passage links with market url in document
|
PokupkiPassageCount
images_market: 282
Number of passage links with pokupki url in document
|
V10_1MarketEncoderDistance
images_market: 321
|
I2TDistanceV12
images_market: 322
|
OcrI2TV12
images_market: 323
|
ImageTitleDistanceI2TV13
images_market: 324
|
MarketFullImage4TitleDistanceI2TV13
images_market: 325
|
TopTokenEntryV13Distance
images_market: 326
|
MarketTopTokenEntryFullImageV13Dist
images_market: 327
|
OcrTitleDistanceV13
images_market: 328
|
V12TolokaEncoderDistance
images_market: 329
|
V12MarketEncoderDistance
images_market: 330
|
CropToRespDistV12
images_market: 332
|
OcrI2TV13
images_market: 333
|
I2TDistanceV12V13
images_market: 334
|
QueryTextI2TDistanceV12V13
images_market: 335
|
ClothesTitleV13DistMax
images_market: 336
|
ClothesTitleV13DistMin
images_market: 337
|
ClothesTitleV13DistMean
images_market: 338
|
ClothesDescV13DistMax
images_market: 339
|
ClothesDescV13DistMin
images_market: 340
|
ClothesDescV13DistMean
images_market: 341
|
ClothesI2TV12DistBest
images_market: 342
|
ClothesTitleV12DistBest
images_market: 343
|
ClothesDescV12DistBest
images_market: 344
|
ClothesTitleV13DistMaxSmallTop
images_market: 345
|
ClothesTitleV13DistMinSmallTop
images_market: 346
|
ClothesTitleV13DistMeanSmallTop
images_market: 347
|
ClothesDescV13DistMaxSmallTop
images_market: 348
|
ClothesDescV13DistMinSmallTop
images_market: 349
|
ClothesDescV13DistMeanSmallTop
images_market: 350
|
ClothesI2TV12DistBestSmallTop
images_market: 351
|
ClothesTitleV13DistBestSmallTop
images_market: 352
|
ClothesDescV13DistBestSmallTop
images_market: 353
|
MarketCategoryNameI2TV13Dist
images_market: 354
|
MarketCategoryFullNameI2TV13Dist
images_market: 355
|
DescriptionI2TV13Dist
images_market: 356
|
MarketNearestDetectedCategoryNameI2TV13Dist
images_market: 357
|
MarketNearestDetectedCategoryFullNameI2TV13Dist
images_market: 358
|
MarketNearestCommonCategoryNameI2TV13Dist
images_market: 359
|
MarketNearestCommonCategoryFullNameI2TV13Dist
images_market: 360
|
MarketCategoryFullNameI2TFullImageV13Dist
images_market: 361
|
MarketCategoryNameI2TFullImageV13Dist
images_market: 362
|
MarketFullImageDescriptionI2TV13Dist
images_market: 363
|
ClothesI2TV12DistMax
images_market: 364
|
ClothesV12I2TDistMin
images_market: 365
|
ClothesI2TV12DistMean
images_market: 366
|
ClothesI2TV12DistMaxSmallTop
images_market: 367
|
ClothesI2TV12DistMinSmallTop
images_market: 368
|
ClothesI2TV12DistMeanSmallTop
images_market: 369
|
CbirDup
images_market: 414
|
CbirRelP
images_market: 415
|
CbirRelM
images_market: 416
|
CbirINormDup
images_market: 417
|
CbirINormRelM
images_market: 418
|
CbirMobile
images_market: 421
|
CbirMarket
images_market: 422
|
CbirClothesLook
images_market: 423
|
BigClickClusterV13
images_market: 429
|
DmozQueryThemes
images_new_l1: 1
The theme of the request determined ((http://wiki.yandex-team.ru/jandekspoisk/zarubezhnyjjinternet/dmozqueryClassifier1 The rule of the sorcerer Dmoztheme)), only a few of the most popular topics are taken into account.
|
DmozQueryBestTheme
images_new_l1: 2
The most likely theme of the request determined ((http://wiki.yandex-team.ru/jandekspoisk/zarubezhnyjjinternet/dmozqueryClassifier1 The rule of the sorcerer DmozTheme)), only the most popular topics are taken into account (but there are more than in the DMOZQUREMES factor). The factor contains the likelihood of a correspondence of the request of the theme, but for each topic, its own interval is taken on the segment [0..1]
|
PopularQ
images_new_l1: 3
The popularity of the request
|
QDiversity
images_new_l1: 4
The degree of centralization of the points from which the request is set
|
Diversity2
images_new_l1: 5
Geographical distribution of the request
|
HourDiversity
images_new_l1: 6
The severity of the querial tasks at different times of the day
|
AvgSessionLen
images_new_l1: 7
The average length of the logical session in which there was a request
|
Found
images_new_l1: 8
The average number of found on request
|
NightQuery
images_new_l1: 9
The request is set mainly at night
|
MorningQuery
images_new_l1: 10
The request is set mainly in the morning
|
DayQuery
images_new_l1: 11
The request is given mainly in the afternoon
|
EveningQuery
images_new_l1: 12
The request is set mainly in the evening
|
CountryPopularQ
images_new_l1: 13
The popularity of the request within the country
|
CountryQDiversity
images_new_l1: 14
The degree of centralization of the points from which the request is set (inside the country)
|
CountryQDiversity2
images_new_l1: 15
Geographical distribution of the request within the country
|
CountryHour
images_new_l1: 16
The hour at which this request is given the most
|
CountryHourDiversity
images_new_l1: 17
The degree of severity of the querial tasks at different times of the day (inside the country)
|
MusicQ
images_new_l1: 18
The musicality of the request. The results of the sorcerer Anton Konygin.
|
QueryNonCommerciality
images_new_l1: 19
The commercial request for the dictionary of phrases from Direct: 0 - maximum commercial, 1 - minimal.
|
QueryCommercialityMx
images_new_l1: 20
The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))
|
IsNavMxQuery
images_new_l1: 21
Rank 'navigation'
|
NonCommercialQuery
images_new_l1: 22
Binar non -profit request: Querynoncommerciality> 0.965.
|
PornoQuery
images_new_l1: 23
Are there any words from Yweb/Pornofilter/Porno.query.
|
XPornoQuery
images_new_l1: 24
Classifier of Porn Causions, another dictionary than Pornoquery
|
QBlog
images_new_l1: 25
Whether the request of blog vocabulary contains
|
IsNavQuery
images_new_l1: 26
Is the request for navigation, on the clicking of the answers
|
IsForeignQuery
images_new_l1: 27
Request is not in Russian
|
VideoQuery
images_new_l1: 28
Request about the video
|
GeoRegionalityU
images_new_l1: 29
Requestful factors - the result of work ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/georegionality classifier of geolocalization of the request)))))))))))))
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GeoRegionalityR
images_new_l1: 30
R- Georelevan - regional results in the issuance could be useful, but nothing more
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GeoRegionalityV
images_new_l1: 31
V- geovital - regional issuance is of fundamental importance
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GeoRegionalityUNew
images_new_l1: 32
Requestful factors - the result of the work ((http://wiki.yandex-team.ru/poiskovajaplatforma/lingvistika/zaprosnyjefefactory/localizovannyjezaprosya classifier of the request of the request)) - a new version of factors [328] - [328] - [328]: u - u - u - u - u - u - uceleless sites the request is meaningless;
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GeoRegionalityRNew
images_new_l1: 33
Запросные факторы - результат работы ((http://wiki.yandex-team.ru/PoiskovajaPlatforma/Lingvistika/ZaprosnyjeFactory/LocalizovannyjeZaprosy классификатора геолокализованности запроса)) - новая версия факторов [328]-[330]: R - георелевантные - региональные результаты в issuing could be useful, but nothing more;
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GeoRegionalityVNew
images_new_l1: 34
Requestful factors - the result of the work ((http://wiki.yandex-team.ru/poiskovajaplatforma/lingvistika/zaprosnyjefefactory/localizovannyjezaprosy classifier of the request of the request)) - a new version of factors [328]: Vegetable fundamental importance.
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RegNavQuery
images_new_l1: 35
Regional and navigation request - in the user region there are one or more navigation results on it
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QueryThVideohosting
images_new_l1: 36
The result of the work of the lexical classifier of requests predicting the likelihood of click on the page 3973 page
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QueryThEncyclopedic
images_new_l1: 37
The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561
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QrTur
images_new_l1: 38
The prediction of the share of “good” (at least two different cities and frequency> = 10) references to the request with geography in Turkey
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NearbyQuery
images_new_l1: 39
When responding to a request, the results are important in close proximity ([pharmacies], [children's clinic])
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CityQuery
images_new_l1: 40
When answering a request, the results within the city are important (the bulk of localized queries)
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AdmQuery
images_new_l1: 41
When responding to a request, the results from the region, the region of the user ([airport], [dairy]) are important
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IsGeo
images_new_l1: 42
It launches on the basic search under the name ISGEO the maximum weight of the meters of the gelator in the request. A geo-object is understood as an object of the category GEO, Geo1, Geoaddr, Geoaddr1, Landmark, Landmark1 (see ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects kaovsky allocation))))))))))))))))))))))))))))))). wiki.yandex-team.ru/arsengadzhikurbanov/wares Read more))
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IsMusic
images_new_l1: 43
It launches on the basic searches under the name ISMUSIC the maximum weight of the Music or Music1 category met in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees more))))))))))))))))))))))
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IsOrg
images_new_l1: 44
The request is the name of the organization (example: Gazprom, Gazprom) ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees Description))
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IsHum
images_new_l1: 45
It launches on the basic search under the name ISHUM the maximum weight of the enclosed object of the Hum or Hum1 category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ishum more)))))
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IsText
images_new_l1: 46
It launches on the basic search under the name ISTEXT the maximum weight of the TEXT or Text1 category of the category of the category met in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#istext more)))
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IsPicture
images_new_l1: 47
It launches on the basic search under the name Ispicture the maximum weight of the Picture or Picture1 category of the category of the category of the category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ispicture))))))))))))))))))
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MinOne
images_new_l1: 48
Returns the maximum degree of household objects in the request under the name Wminone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#minone more)))))
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MaxOne
images_new_l1: 49
Returns the maximum degree of household objects in the request under the name Wmaxone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#maxone more)))))))
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CountryQueryRegionality
images_new_l1: 50
Country classifier of localization - how much the request implies the context of the country
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QClassDownload
images_new_l1: 51
= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen
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QClassBrandnames
images_new_l1: 52
The result of the classifier of the request - in the request there are words from the corresponding dictionary. brand
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QClassDisease
images_new_l1: 53
Medication Dictionary
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QClassKak
images_new_l1: 54
question
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QClassMoscow
images_new_l1: 55
Specific request for Moscow
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QClassOAO
images_new_l1: 56
organization
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QClassPorno
images_new_l1: 57
porn
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QClassTravel
images_new_l1: 58
trips
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DiversityCategNeedPhoto
images_new_l1: 59
0 or 1, depending on the presence in the request of the clearly expressed intent Need_photo from the variety
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DiversityCategNeedMap
images_new_l1: 60
0 or 1, depending on the presence in the request of the clearly expressed intent Need_map from the variety
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DiversityCategDownload
images_new_l1: 61
0 or 1 - whether the request is matured by the tickt
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DiversityCategReview
images_new_l1: 62
0 or 1 - whether the request is matured by the tickt
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DiversityCategWatch
images_new_l1: 63
0 or 1 - whether the request is matured by the tickt
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HasMisspell
images_new_l1: 64
There is a typo in the request
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ErratumLogQueryProbability
images_new_l1: 65
Double logarithm of the probability of a request for a language model of the Erratum typo service
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MisspellLmNgrYandexDirectOriginal
images_new_l1: 66
Summary Skorov words of a request for a language model 3GRAMS-YANDEX-DIRECT.
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MisspellLmRtlNgrWebMtOriginal
images_new_l1: 67
Summary of the Skorov words of the request by the Web-Mt language model.
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YabarWordDepthNodesGradientMin
images_new_l1: 68
The angle in the Depth Nodes space, counted only by words (min for all)
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FractionOfQueriesWithGeoPredicted
images_new_l1: 69
Prediction of a share of requests with geography on a bag of words built for request
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IsLocalProbability
images_new_l1: 70
The value of the classifier of localization for request
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IsExactUrl
images_new_l1: 71
The request is a Urle with an accuracy of the points and testing characters - the ISURL sorcerer's rule is used
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IsRelevLocaleRU
images_new_l1: 72
Relev_locale == ru
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IsRelevLocaleUA
images_new_l1: 73
Relev_locale == ua
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IsRelevLocaleBY
images_new_l1: 74
relev_locale == by
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IsRelevLocaleKZ
images_new_l1: 75
relev_locale == kz
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IsRelevLocaleTR
images_new_l1: 76
relev_locale == tr
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IsRelevLocaleID
images_new_l1: 77
relev_locale == id
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IsRelevLocaleWORLD
images_new_l1: 78
relev_locale == world
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HasPornoQuery
images_new_l1: 79
The result of the work of Adult Rules for the Sorcerer.
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QClassPornoVw
images_new_l1: 80
Porn query classification result from Wizard (iad_vw flag, based on Vowpal Wabbit)
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DssmVkPopularity
images_new_l1: 81
The probability that the VK.com host is popular for this request in accordance with the corresponding DSSM model.
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DssmOnlinerPopularity
images_new_l1: 82
The probability that the Onliner.by host is popular for this request according to the corresponding DSSM model.
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DssmRamblerPopularity
images_new_l1: 83
The probability that the Rambler.ru host is popular for this request in accordance with the corresponding DSSM model.
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DssmExpertcenPopularity
images_new_l1: 84
The likelihood that the ExpertCen.ru host is popular for this request in accordance with the corresponding DSSM model.
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DssmSunhomePopularity
images_new_l1: 85
The probability that the Sunhome.ru host is popular for this request according to the corresponding DSSM model.
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RandomLogQueryAvgNews
images_new_l1: 86
The average value of News for the year. It is calculated in offline.
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RandomLogQueryAvgAddTime
images_new_l1: 87
ADDTIME average value for the year. It is calculated in offline.
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RandomLogQueryAvgTxtHiRelSy
images_new_l1: 88
The average value of TXTHIRELSY for the year. It is calculated in offline.
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RandomLogQueryAvgTextLike
images_new_l1: 89
The average TEXTLIKE value is for the year. It is calculated in offline.
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RandomLogQueryAvgHasNoAllWordsTRSy
images_new_l1: 90
The average Hasnoallwordstersy value for the year. It is calculated in offline.
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RandomLogQueryAvgIsForum
images_new_l1: 91
The average value of ISFORUM for the year. It is calculated in offline.
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RandomLogQueryAvgHasPayments
images_new_l1: 92
The average value of Haspayments for the year. It is calculated in offline.
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RandomLogQueryAvgYabarHostAvgTime2
images_new_l1: 93
The average value is Yabarhostavgtime2 for the year. It is calculated in offline.
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RandomLogQueryAvgYabarUrlVisitors
images_new_l1: 94
The average value of Yabarurlvisitors for the year. It is calculated in offline.
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RandomLogQueryAvgQueryDOwnerOnlyClickRate
images_new_l1: 95
The average value of QueryDowneronlyClickRate for the year. It is calculated in offline.
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RandomLogQueryAvgDaterAge
images_new_l1: 96
The average value of Dateraage for the year. It is calculated in offline.
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RandomLogQueryAvgLongestText
images_new_l1: 97
The average value of the LonGestText for the year. It is calculated in offline.
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RandomLogQueryAvgDifferentInternalLinks
images_new_l1: 98
The average value is DifferentinTernallinks for the year. It is calculated in offline.
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RandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
images_new_l1: 99
The average value of QueryDowneronlyClickRate_Rreg is for a year. It is calculated in offline.
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RandomLogQueryAvgIsHub
images_new_l1: 100
The average ISHUB value is for the year. It is calculated in offline.
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RandomLogQueryAvgIsTargetBussinessCard
images_new_l1: 101
The average ISTARGETBUSSINESSCARD for the year. It is calculated in offline.
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RandomLogQueryAvgBM25_0
images_new_l1: 102
The average value is BM25_0 on request per year. It is calculated in offline.
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RandomLogQueryAvgBocm
images_new_l1: 103
The average value of BOCM for the year. It is calculated in offline.
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RandomLogQueryAvgIsIndexPage
images_new_l1: 104
The average ISindexpage is for the year. It is calculated in offline.
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RandomLogQueryAvgQueriesAvgCM2
images_new_l1: 105
The average value of queriesavgcm2 for the year. It is calculated in offline.
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RandomLogQueryAvgBrowserHostDownloadProbability
images_new_l1: 106
The average value of BrowserhostDownloadProbabolyity for the year. It is calculated in offline.
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RandomLogQueryAvgRegBrowserUserHub
images_new_l1: 107
The average value of Regbrowseruserhub for the year. It is calculated in offline.
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RandomLogQueryAvgAuxTitleBM25
images_new_l1: 108
Auxtitlebm25 average value for the year. It is calculated in offline.
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RandomLogQueryAvgQueryUrlCorrectedCtrXfactor
images_new_l1: 109
The average value of QuryurlCorrectedctrxFactor for the year. It is calculated in offline.
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RandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
images_new_l1: 110
The average value is QueryTodocallsumfcountTextbM11Norm16384 for the year. It is calculated in offline.
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RandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
images_new_l1: 111
The average value of the XFDTSHOWALLSUMWFSUMWBODYMINWIDESIZE for the year. It is calculated in offline.
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RandomLogQueryClicksWeightedAvgIsMainPage
images_new_l1: 112
Maintened by clicks ISMainPage value for the year. It is calculated in offline.
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RandomLogQueryClicksWeightedAvgYabarUrlAvgTime
images_new_l1: 113
Main -heated clicks of the Yabarurlavgtime value for the year. It is calculated in offline.
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RandomLogQueryClicksWeightedAvgDifferentInternalLinks
images_new_l1: 114
Maintened by clicks DifferentinTernallinks for the year. It is calculated in offline.
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RandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
images_new_l1: 115
Malpanized Dwelltime-AMI Value of Urldomainfraction for the year. It is calculated in offline.
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DssmQueryCountryToUrlEstimatedDistance
images_new_l1: 122
Predicted by demand and country, using a DSSM model, the length of the click from this country.
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DssmRandomLogQueryAvgNews
images_new_l1: 123
The average for the year for the year predicted using the neural network.
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DssmRandomLogQueryAvgAddTime
images_new_l1: 124
ADDTIME ADDTIME is predicted using a neural network for a year.
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DssmRandomLogQueryAvgTxtHiRelSy
images_new_l1: 125
The average Txthirelesy value predicted using a neural network for the year.
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DssmRandomLogQueryAvgTextLike
images_new_l1: 126
The average Textlike is predicted using a neural network for the year.
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DssmRandomLogQueryAvgHasNoAllWordsTRSy
images_new_l1: 127
The average HasnoallwordStrsy is predicted using a neural network for a year.
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DssmRandomLogQueryAvgIsForum
images_new_l1: 128
The average ISFORUM is predicted using a neural network for the year.
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DssmRandomLogQueryAvgHasPayments
images_new_l1: 129
The average Haspayments is predicted using a neural network for the year.
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DssmRandomLogQueryAvgYabarHostAvgTime2
images_new_l1: 130
The average value of Yabarhostavgtime2 for the year for the year.
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DssmRandomLogQueryAvgYabarUrlVisitors
images_new_l1: 131
The average yabarurlvisitors is predicted using a neural network for the year.
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DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate
images_new_l1: 132
The average value of QueryDowneronlyClickRate for the year for the year.
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DssmRandomLogQueryAvgDaterAge
images_new_l1: 133
The average Dateraage value for the year for a year predicted using a neural network.
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DssmRandomLogQueryAvgLongestText
images_new_l1: 134
The average LonGestText is predicted using a neural network for the year.
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DssmRandomLogQueryAvgDifferentInternalLinks
images_new_l1: 135
The average DifferentinTernallinks for the year for the year.
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DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
images_new_l1: 136
The average value of QueryDowneronlyClickRate_Rreg is predicted using a neural network for a year.
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DssmRandomLogQueryAvgIsTargetBussinessCard
images_new_l1: 137
The average ISTARGETBUSSINESSCARD is predicted using a neural network for the year.
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DssmRandomLogQueryAvgBocm
images_new_l1: 138
The average BOCM value predicted using a neural network for the year.
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DssmRandomLogQueryAvgIsIndexPage
images_new_l1: 139
The average ISindEXPAGE is predicted using a neural network for the year.
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DssmRandomLogQueryAvgQueriesAvgCM2
images_new_l1: 140
The average value of QueriesavGCM2 for the year for the year predicted using a neural network.
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DssmRandomLogQueryAvgBrowserHostDownloadProbability
images_new_l1: 141
The average BrowserhostdowLoadProbabolyti is predicted using a neural network for the year.
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DssmRandomLogQueryAvgRegBrowserUserHub
images_new_l1: 142
The average value of Regbrowseruserhub for the year for a year predicted using a neural network.
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DssmRandomLogQueryAvgAuxTitleBM25
images_new_l1: 143
The average AuxtitlebM25 average value for the year for the year.
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DssmRandomLogQueryAvgQueryUrlCorrectedCtrXfactor
images_new_l1: 144
The average value of QueryurlCorrectrxFactor for the year for the year.
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DssmRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
images_new_l1: 145
The average value of QueryTodoCallsumfcountTextbM11Norm16384 for the year for the year.
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DssmRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
images_new_l1: 146
The average value of the XFDTSHOWALSUMWFSUMWBODYMINWINDOWSIZE for the year for the year.
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DssmRandomLogQueryClicksWeightedAvgIsMainPage
images_new_l1: 147
The value of the ISMAINPAGE with clicks predicted using the neural network with clicks on request for the year.
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DssmRandomLogQueryClicksWeightedAvgYabarUrlAvgTime
images_new_l1: 148
A mid Yabarurlavgtime value predicted using a neural network with clicks for a year.
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DssmRandomLogQueryClicksWeightedAvgDifferentInternalLinks
images_new_l1: 149
DiffferentinTernallinks, which is predicted using a neural network, is a weighted net with clicks for a year.
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DssmRandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
images_new_l1: 150
The Malue Network DwellTime-AMI predicted using the neural network is the value of Urldomainfraction for the year.
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Regionality5LocalizationProbability
images_new_l1: 151
The prediction of the probability that the request is localized in accordance with the regionality5 rule.
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LongQuerySyn
images_new_l1: 152
The factor is an analogue of LongQuery (the sum of the IDF words of the request), but with the 'correct' accounting of synonyms. Specifically, a minimum of IDF (i.e. the most frequent) of synonyms and words is selected.
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DssmBoostingXfOneSeAmSsHardQueryMutationDelSiteWordRenormedDistance
images_new_l1: 153
Characterizes the request for the degree of change from removing a fixed word ('site' for Kirilitsa), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
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DssmBoostingXfOneSeAmSsHardQueryMutationAddFixedYearWordRenormedDistance
images_new_l1: 154
Characterizes the request for the degree of change from the addition of a fixed word (number of some year), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
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DssmBoostingXfOneSeAmSsHardQueryMutationAddOnlineWordRenormedDistance
images_new_l1: 155
Characterizes a request for the degree of change from the addition of a fixed word ('online' for Kirilitsa), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
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RandomLogWordMaxHasNoTr
images_new_l1: 156
For each word offline, the average Hasnotr meaning is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMaxIsLJ
images_new_l1: 157
For each word offline, the average ISLJ value is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMinBclmLite
images_new_l1: 159
For each word offline, the average BCLMLITE value is calculated for 3 months. Further, in all words of the request, a minimum of this value is taken.
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RandomLogWordSkipStopWordsMaxDBM40
images_new_l1: 160
For each word offline, the average DBM40 value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
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RandomLogWordSkipStopWordsMaxIsDesktopRequest
images_new_l1: 161
For each word offline, the average ISDESKTOPREQUEST value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
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RandomLogWordMaxRLQAvgHasNoAllWordsTrSyn
images_new_l1: 162
For each word offline, the average value of RLQAVGHASNOLLWORDSTRSYN is calculated at the request for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMaxDssmAggregatedAnnReg
images_new_l1: 163
For each word offline, the average DSSMAGGRETEDANNREG value is calculated at the request for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMaxMetaNumUrlsPerHostFixed
images_new_l1: 164
For each word offline, the average meaning of MetanumurlSperhostfixed is calculated in demands in 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordSkipStopWordsMaxSDIsNavMxQueryMax
images_new_l1: 165
For each word offline, the average value of MaxsdisnavmxqueryMax is calculated at the request for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
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DssmGoogleSpecificity
images_new_l1: 166
DSSM prediction of google specificity for query
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KnnRandomLogQueryAvgAddTime
images_new_l1: 167
The average value of Randomlogqueryavgaddtime of the closest KNN queries.
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KnnRandomLogQueryAvgTxtHiRelSy
images_new_l1: 168
The average value of RandomlogqueryavgtXthirelsy nearest KNN queries.
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KnnRandomLogQueryAvgTextLike
images_new_l1: 169
The average value of Randomlogqueryavgtextlike nearest KNN queries.
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KnnRandomLogQueryAvgIsForum
images_new_l1: 170
The average value of Randomlogqueryavgisforum of the closest KNN queries.
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KnnRandomLogQueryAvgHasPayments
images_new_l1: 171
The average value of Randomlogqueryavghaspayments closest to KNN queries.
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KnnRandomLogQueryAvgDifferentInternalLinks
images_new_l1: 172
The average value of Randomlogqueryavgdiferentinternallinks of the nearest KNN queries.
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KnnRandomLogQueryAvgIsTargetBussinessCard
images_new_l1: 173
The average value of RandomlogqueryavgistargetbussinessCard of the nearest KNN queries.
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KnnRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
images_new_l1: 174
The average value is RandomlogqueryavgquerytododoCallsumfcountTextbM11NORM16384 of the nearest KNN queries.
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KnnRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
images_new_l1: 175
The average value is Randomlogqueryavgxfdtshowallsumwfsumwbodyminwindowsize closest KNN queries.
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IsDesktopRequest
images_new_l1: 176
request came from yandsearch (rearr.is_desktop == 1) (https://wiki.yandex-team.ru/users/lpshka/platformfeatures)
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IsMobileRequest
images_new_l1: 177
request came from touchsearch (rearr.is_mobile == 1) (https://wiki.yandex-team.ru/users/lpshka/platformfeatures)
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IsTabletRequest
images_new_l1: 178
request came from padsearch (rearr.is_tablet == 1) (https://wiki.yandex-team.ru/users/lpshka/platformfeatures)
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QueryDoppMedianDwelltime
images_new_l1: 179
Median dwelltai requests in history. Dwelltaym is cut to 6000. The request is normalized by doppelgangers
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QueryDoppMultipleClicksShows
images_new_l1: 180
The number of shows of the request with more than one click in history. The request is normalized by doppelgangers
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QueryDoppMultipleClicksProbability
images_new_l1: 181
The share of shows with more than one click from all shows in history. The request is normalized by doppelgangers
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QueryToTextAllAvg
images_new_l1: 182
The average value of the request factor according to lingvobusting - Querytotext is calculated in the Hippo rule LingBoostqueryFeatures
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QueryToTextKnnAllAvg
images_new_l1: 183
The average value of the request factor according to lingvobusting - Querytotextbyxfdtshowknn, is calculated in the Hippo rule LingBoostqueryFeatures
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XfDtShowAllTotalW
images_new_l1: 184
SUM / (SUM + 10) for the requested factor according to linguobosting - XFDTSHOW, is calculated in the Hippo rule LingBoostqueryFeatures
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XfDtShowQuantile01
images_new_l1: 185
Quantile 0.1 For the request factor according to the XFDTSHOW linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
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XfDtShowKnnQuantile10
images_new_l1: 186
Quantile 0.1 for the request factor according to the XFDTSHOWKNN linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
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XfDtShowKnnQuantile09
images_new_l1: 187
Quantile 0.9 for the quantity factor according to the XFDTSHOWKNN linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
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QfufAllTotalWeight
images_new_l1: 188
SUM / (SUM + 10) for the requested factor according to QFUF linguosting data, is calculated in the LingBoostqueryFeatures Hotemaura
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QfufAllAvg
images_new_l1: 189
The average value for the quoted factor according to QFUF lingvobusting data is calculated in the LingBoostqueryFeatures Hotemail Rules
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NnOverDssmDotProduct
images_new_l1: 190
Newest runtime factor nn_over_dssm_dot_product
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Mask100RelevanceSum
images_new_l1: 191
Newest runtime factor mask_100_relevance_sum
|
Mask100RelevanceAvg
images_new_l1: 192
Newest runtime factor mask_100_relevance_avg
|
Mask100RelevanceMin
images_new_l1: 193
Newest runtime factor mask_100_relevance_min
|
Mask100RelevanceMax
images_new_l1: 194
Newest runtime factor mask_100_relevance_max
|
Mask100RelevanceSumNormed
images_new_l1: 195
Newest runtime factor mask_100_relevance_sum_normed
|
Mask100RelevanceSumToTermCount
images_new_l1: 196
Newest runtime factor mask_100_relevance_sum_to_term_count
|
Mask100RelevanceSumToWordCount
images_new_l1: 197
Newest runtime factor mask_100_relevance_sum_to_word_count
|
Mask100RelevanceSumToMatchedWordCount
images_new_l1: 198
Newest runtime factor mask_100_relevance_sum_to_matched_word_count
|
Mask100MatchedTermCountNormed
images_new_l1: 199
Newest runtime factor mask_100_matched_term_count_normed
|
Mask100MatchedTermCountToTotalTermCount
images_new_l1: 200
Newest runtime factor mask_100_matched_term_count_to_total_term_count
|
Mask100MatchedWordCountToTotalWordCount
images_new_l1: 201
Newest runtime factor mask_100_matched_word_count_to_total_word_count
|
Mask100MatchedWordCountNormed
images_new_l1: 202
Newest runtime factor mask_100_matched_word_count_normed
|
Mask100WordWeightsSum
images_new_l1: 203
Newest runtime factor mask_100_word_weights_sum
|
Mask100WordWeightsAvg
images_new_l1: 204
Newest runtime factor mask_100_word_weights_avg
|
Mask100WordWeightsMin
images_new_l1: 205
Newest runtime factor mask_100_word_weights_min
|
Mask100WordWeightsMax
images_new_l1: 206
Newest runtime factor mask_100_word_weights_max
|
Mask100WordWeightsSumToTotalWordCount
images_new_l1: 207
Newest runtime factor mask_100_word_weights_sum_to_total_word_count
|
Mask010RelevanceSum
images_new_l1: 208
Newest runtime factor mask_010_relevance_sum
|
Mask010RelevanceAvg
images_new_l1: 209
Newest runtime factor mask_010_relevance_avg
|
Mask010RelevanceMin
images_new_l1: 210
Newest runtime factor mask_010_relevance_min
|
Mask010RelevanceMax
images_new_l1: 211
Newest runtime factor mask_010_relevance_max
|
Mask010RelevanceSumNormed
images_new_l1: 212
Newest runtime factor mask_010_relevance_sum_normed
|
Mask010RelevanceSumToTermCount
images_new_l1: 213
Newest runtime factor mask_010_relevance_sum_to_term_count
|
Mask010RelevanceSumToWordCount
images_new_l1: 214
Newest runtime factor mask_010_relevance_sum_to_word_count
|
Mask010RelevanceSumToMatchedWordCount
images_new_l1: 215
Newest runtime factor mask_010_relevance_sum_to_matched_word_count
|
Mask010MatchedTermCountNormed
images_new_l1: 216
Newest runtime factor mask_010_matched_term_count_normed
|
Mask010MatchedTermCountToTotalTermCount
images_new_l1: 217
Newest runtime factor mask_010_matched_term_count_to_total_term_count
|
Mask010MatchedWordCountToTotalWordCount
images_new_l1: 218
Newest runtime factor mask_010_matched_word_count_to_total_word_count
|
Mask010MatchedWordCountNormed
images_new_l1: 219
Newest runtime factor mask_010_matched_word_count_normed
|
Mask010WordWeightsSum
images_new_l1: 220
Newest runtime factor mask_010_word_weights_sum
|
Mask010WordWeightsAvg
images_new_l1: 221
Newest runtime factor mask_010_word_weights_avg
|
Mask010WordWeightsMin
images_new_l1: 222
Newest runtime factor mask_010_word_weights_min
|
Mask010WordWeightsMax
images_new_l1: 223
Newest runtime factor mask_010_word_weights_max
|
Mask010WordWeightsSumToTotalWordCount
images_new_l1: 224
Newest runtime factor mask_010_word_weights_sum_to_total_word_count
|
Mask001RelevanceSum
images_new_l1: 225
Newest runtime factor mask_001_relevance_sum
|
Mask001RelevanceAvg
images_new_l1: 226
Newest runtime factor mask_001_relevance_avg
|
Mask001RelevanceMin
images_new_l1: 227
Newest runtime factor mask_001_relevance_min
|
Mask001RelevanceMax
images_new_l1: 228
Newest runtime factor mask_001_relevance_max
|
Mask001RelevanceSumNormed
images_new_l1: 229
Newest runtime factor mask_001_relevance_sum_normed
|
Mask001RelevanceSumToTermCount
images_new_l1: 230
Newest runtime factor mask_001_relevance_sum_to_term_count
|
Mask001RelevanceSumToWordCount
images_new_l1: 231
Newest runtime factor mask_001_relevance_sum_to_word_count
|
Mask001RelevanceSumToMatchedWordCount
images_new_l1: 232
Newest runtime factor mask_001_relevance_sum_to_matched_word_count
|
Mask001MatchedTermCountNormed
images_new_l1: 233
Newest runtime factor mask_001_matched_term_count_normed
|
Mask001MatchedTermCountToTotalTermCount
images_new_l1: 234
Newest runtime factor mask_001_matched_term_count_to_total_term_count
|
Mask001MatchedWordCountToTotalWordCount
images_new_l1: 235
Newest runtime factor mask_001_matched_word_count_to_total_word_count
|
Mask001MatchedWordCountNormed
images_new_l1: 236
Newest runtime factor mask_001_matched_word_count_normed
|
Mask001WordWeightsSum
images_new_l1: 237
Newest runtime factor mask_001_word_weights_sum
|
Mask001WordWeightsAvg
images_new_l1: 238
Newest runtime factor mask_001_word_weights_avg
|
Mask001WordWeightsMin
images_new_l1: 239
Newest runtime factor mask_001_word_weights_min
|
Mask001WordWeightsMax
images_new_l1: 240
Newest runtime factor mask_001_word_weights_max
|
Mask001WordWeightsSumToTotalWordCount
images_new_l1: 241
Newest runtime factor mask_001_word_weights_sum_to_total_word_count
|
Mask110RelevanceSum
images_new_l1: 242
Newest runtime factor mask_110_relevance_sum
|
Mask110RelevanceAvg
images_new_l1: 243
Newest runtime factor mask_110_relevance_avg
|
Mask110RelevanceMin
images_new_l1: 244
Newest runtime factor mask_110_relevance_min
|
Mask110RelevanceMax
images_new_l1: 245
Newest runtime factor mask_110_relevance_max
|
Mask110RelevanceSumNormed
images_new_l1: 246
Newest runtime factor mask_110_relevance_sum_normed
|
Mask110RelevanceSumToTermCount
images_new_l1: 247
Newest runtime factor mask_110_relevance_sum_to_term_count
|
Mask110RelevanceSumToWordCount
images_new_l1: 248
Newest runtime factor mask_110_relevance_sum_to_word_count
|
Mask110RelevanceSumToMatchedWordCount
images_new_l1: 249
Newest runtime factor mask_110_relevance_sum_to_matched_word_count
|
Mask110MatchedTermCountNormed
images_new_l1: 250
Newest runtime factor mask_110_matched_term_count_normed
|
Mask110MatchedTermCountToTotalTermCount
images_new_l1: 251
Newest runtime factor mask_110_matched_term_count_to_total_term_count
|
Mask110MatchedWordCountToTotalWordCount
images_new_l1: 252
Newest runtime factor mask_110_matched_word_count_to_total_word_count
|
Mask110MatchedWordCountNormed
images_new_l1: 253
Newest runtime factor mask_110_matched_word_count_normed
|
Mask110WordWeightsSum
images_new_l1: 254
Newest runtime factor mask_110_word_weights_sum
|
Mask110WordWeightsAvg
images_new_l1: 255
Newest runtime factor mask_110_word_weights_avg
|
Mask110WordWeightsMin
images_new_l1: 256
Newest runtime factor mask_110_word_weights_min
|
Mask110WordWeightsMax
images_new_l1: 257
Newest runtime factor mask_110_word_weights_max
|
Mask110WordWeightsSumToTotalWordCount
images_new_l1: 258
Newest runtime factor mask_110_word_weights_sum_to_total_word_count
|
Mask011RelevanceSum
images_new_l1: 259
Newest runtime factor mask_011_relevance_sum
|
Mask011RelevanceAvg
images_new_l1: 260
Newest runtime factor mask_011_relevance_avg
|
Mask011RelevanceMin
images_new_l1: 261
Newest runtime factor mask_011_relevance_min
|
Mask011RelevanceMax
images_new_l1: 262
Newest runtime factor mask_011_relevance_max
|
Mask011RelevanceSumNormed
images_new_l1: 263
Newest runtime factor mask_011_relevance_sum_normed
|
Mask011RelevanceSumToTermCount
images_new_l1: 264
Newest runtime factor mask_011_relevance_sum_to_term_count
|
Mask011RelevanceSumToWordCount
images_new_l1: 265
Newest runtime factor mask_011_relevance_sum_to_word_count
|
Mask011RelevanceSumToMatchedWordCount
images_new_l1: 266
Newest runtime factor mask_011_relevance_sum_to_matched_word_count
|
Mask011MatchedTermCountNormed
images_new_l1: 267
Newest runtime factor mask_011_matched_term_count_normed
|
Mask011MatchedTermCountToTotalTermCount
images_new_l1: 268
Newest runtime factor mask_011_matched_term_count_to_total_term_count
|
Mask011MatchedWordCountToTotalWordCount
images_new_l1: 269
Newest runtime factor mask_011_matched_word_count_to_total_word_count
|
Mask011MatchedWordCountNormed
images_new_l1: 270
Newest runtime factor mask_011_matched_word_count_normed
|
Mask011WordWeightsSum
images_new_l1: 271
Newest runtime factor mask_011_word_weights_sum
|
Mask011WordWeightsAvg
images_new_l1: 272
Newest runtime factor mask_011_word_weights_avg
|
Mask011WordWeightsMin
images_new_l1: 273
Newest runtime factor mask_011_word_weights_min
|
Mask011WordWeightsMax
images_new_l1: 274
Newest runtime factor mask_011_word_weights_max
|
Mask011WordWeightsSumToTotalWordCount
images_new_l1: 275
Newest runtime factor mask_011_word_weights_sum_to_total_word_count
|
Mask111RelevanceSum
images_new_l1: 276
Newest runtime factor mask_111_relevance_sum
|
Mask111RelevanceAvg
images_new_l1: 277
Newest runtime factor mask_111_relevance_avg
|
Mask111RelevanceMin
images_new_l1: 278
Newest runtime factor mask_111_relevance_min
|
Mask111RelevanceMax
images_new_l1: 279
Newest runtime factor mask_111_relevance_max
|
Mask111RelevanceSumNormed
images_new_l1: 280
Newest runtime factor mask_111_relevance_sum_normed
|
Mask111RelevanceSumToTermCount
images_new_l1: 281
Newest runtime factor mask_111_relevance_sum_to_term_count
|
Mask111RelevanceSumToWordCount
images_new_l1: 282
Newest runtime factor mask_111_relevance_sum_to_word_count
|
Mask111RelevanceSumToMatchedWordCount
images_new_l1: 283
Newest runtime factor mask_111_relevance_sum_to_matched_word_count
|
Mask111MatchedTermCountNormed
images_new_l1: 284
Newest runtime factor mask_111_matched_term_count_normed
|
Mask111MatchedTermCountToTotalTermCount
images_new_l1: 285
Newest runtime factor mask_111_matched_term_count_to_total_term_count
|
Mask111MatchedWordCountToTotalWordCount
images_new_l1: 286
Newest runtime factor mask_111_matched_word_count_to_total_word_count
|
Mask111MatchedWordCountNormed
images_new_l1: 287
Newest runtime factor mask_111_matched_word_count_normed
|
Mask111WordWeightsSum
images_new_l1: 288
Newest runtime factor mask_111_word_weights_sum
|
Mask111WordWeightsAvg
images_new_l1: 289
Newest runtime factor mask_111_word_weights_avg
|
Mask111WordWeightsMin
images_new_l1: 290
Newest runtime factor mask_111_word_weights_min
|
Mask111WordWeightsMax
images_new_l1: 291
Newest runtime factor mask_111_word_weights_max
|
Mask111WordWeightsSumToTotalWordCount
images_new_l1: 292
Newest runtime factor mask_111_word_weights_sum_to_total_word_count
|
ImagesMinAge
images_new_runtime_doc_features: 121
Minimum age of images
|
ImagesMaxAge
images_new_runtime_doc_features: 122
Maximum age of images
|
RealImagesMaxAgeFromRequestFull
images_nn_over_dssm_doc_features: 202
(images age over request) / (iamges age over request + 1440). Used only in fresh search
|
ImageWallpaperQuery
images_production: 3
|
ImageQuery
images_production: 5
|
NotImageQuery
images_production: 6
|
ImagePornoQuery
images_production: 7
|
LongQuery
images_production: 8
The amount of IDF words of the request. The name does not reflect the essence: for example, for the request of 'Gadyach' this factor will be more than for the request of 'Moscow Peter Yekaterinburg Samara'.
|
ImageLangsFound
images_production: 12
|
QueryWithPhotoMarker
images_production: 16
Query Has Photo Marker (photo, Photo, Foto, etc.)
|
ImageQueryDlRelevanceV8AvgMeta
images_production: 18
Relevance of the image based on dl features Version 8 - top avg
|
AnnYaValueWcmMaxMeta
images_production: 19
Value wcm max base on queries from yandex sessions - top max
|
ImageNearbyTextBm15MaxK3MaxMeta
images_production: 31
Feature from utracker
|
WordCount
images_production: 33
Min (number of words of request/10, 1.f)
|
InvWordCount
images_production: 34
1 / quantity_lov_v_
|
ImageOwnersWithAllWords
images_production: 35
|
ImageOwnersWithHitsShare
images_production: 36
|
ImageOwnersWithAllWordsShare
images_production: 37
|
ImageRusQuery
images_production: 39
|
ImageEngQuery
images_production: 40
|
ImageText2TextRelevanceV2
images_production: 43
Relevance of the image based on dssm query + features of selected links
|
QueryClusterFood
images_production: 44
The proximity of the cluster request [Barukov’s food with impregnation] based on i2t dssm
|
PornQueryProbability
images_production: 46
Combined value of 2 requesting porn classifiers
|
BFexact
images_production: 47
There is an exact form of all words of the request in the text/lincers
|
PopularQ
images_production: 48
|
ImageClickSimQsBow
images_production: 49
Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector
|
NonCommercialQuery
images_production: 51
|
HasNoQueryURLShows
images_production: 52
by pair (Query, URL) there are no shows
|
HasNoQueryShows
images_production: 53
the request has no shows
|
PornoQuery
images_production: 55
Are there any words from (http://wiki.yandex-team.ru//h.yandex.net/?https%3A%2F%2FTREE.YANDEX.ru%2FCGI-BIN%2FCVSweb.cgi%2FARCADIA% 2FYWEB%2FPornofilter%2FPorno.Query Yweb/Pornofilter/Porno.query))
|
HasAllWordsTRSy
images_production: 56
The document has all the words of the request (with an accuracy to a synonym)
|
ImageQueryDlRelevanceV9
images_production: 60
Relevance of the image based on dl features Version 9
|
QClassPornoVw
images_production: 64
Porn query classification result from Wizard (iad_vw flag, based on Vowpal Wabbit)
|
QueryClusterUnknownPerson
images_production: 66
The proximity of the request to the Clauster [Chukraev Yuri village Bulanash] based on i2t DSSM
|
ImageQueryRequests
images_production: 69
|
ImageQueryShowsRequests
images_production: 70
|
ImageQueryClicks
images_production: 71
|
QueryClusterLove
images_production: 77
The proximity of the request to the Clauster [your love is inspired by my beloved] based on i2t dssm
|
IsNavQuery
images_production: 81
Is the request for navigation ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushhiekomponenty/isnav!/Isnav)))))))))
|
QueryClusterHaircut
images_production: 83
The proximity of the request to the cluster of haircuts based on T2T DSSM
|
QueryClusterCraftworks
images_production: 84
The proximity of the query cluster based on T2T DSSM
|
ImageLinksWithAllWords
images_production: 85
|
QueryClusterTools
images_production: 86
The proximity of the Clauster of T2T DSSM -based clicter
|
IsForeignQuery
images_production: 88
Request is not in Russian
|
Diversity2
images_production: 91
Geographical distribution of the request
|
NightQuery
images_production: 92
The request is set mainly at a certain time of the day. Examples of such requests are GDZ, SMS good night, porn requests.
|
MorningQuery
images_production: 93
|
DayQuery
images_production: 94
|
EveningQuery
images_production: 95
|
HourDiversity
images_production: 96
The severity of factors 276-279
|
XPornoQuery
images_production: 97
Classifier of Porn Causions, another dictionary than Pornoquery
|
VideoQuery
images_production: 98
Request about the video
|
LargestSyInexactGroup
images_production: 99
The share of the request, covered by the longest group consisting of any hits (including word forms and synonyms). Possibly with a pass, addition or replacement of a word
|
ImageDBM
images_production: 102
BM25 - like factor, but with custom coefficients
|
ImagesIntent
images_production: 103
Shows if query is specific for images according to quotient of web and images pure frequencies
|
IsOrg
images_production: 107
The request is the name of the organization (example: Gazprom, Gazprom) ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees Description))
|
QClassDisease
images_production: 108
Medication Dictionary
|
CountryQueryRegionality
images_production: 109
Country classifier of localization - how much the request implies the context of the country
|
QueryCommercialityMx
images_production: 110
The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))
|
QfufAllMaxFTitleBclmMixPlainKE5
images_production: 111
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest value of the factor. It is considered according to the heading of the document. The algorithm for aggregation of words weights is BCLMMIXPLAIN: a linear mixture of annotation BCLM weights and balanced Positionless weights of the word, then the former meters are aggregated through BM15. Normalization coefficient 10^(-5).
|
AnnOcrV2BocmPlain
images_production: 112
Bocm plain for OCR
|
AnnOcrV2BclmPlain
images_production: 113
Bclm plain for OCR
|
AnnOcrV2AnnotationMatchPrediction
images_production: 114
Annotation match prediction base on OCR
|
QueryClusterInterior
images_production: 116
The proximity of the request to the interiors Classm based on T2T DSSM
|
PornQueryByFixlist
images_production: 117
Request from the Porn Carriage Club
|
ImageQueryDlRelevanceV12AvgMeta
images_production: 120
Relevance of the image based on dl features Version 12 - top avg
|
ImageClickSimQsIsRegional
images_production: 123
Fi_Image_Click_SIM_QS factor is calculated on request + user region (or country)
|
ImageMaxWordsPairShare
images_production: 126
|
ImageMinLemmaWordsShare
images_production: 127
|
ImageMaxLemmaAndSynonymWordsShare
images_production: 128
|
FractionOfQueriesWithGeoPredicted
images_production: 129
Prediction of a share of requests with geography on a bag of words built for request
|
ImageClickSimQs
images_production: 130
Query-to-doc click similarity factor (query-side)
|
ImageMaxWordsPairSumExpWeight
images_production: 131
|
MaxLeftAndRightBigramsWeight
images_production: 132
|
ImageDBM25
images_production: 133
|
ImageQueryCommercialProbGivenNoClick
images_production: 134
|
ImageQueryNewsProbGivenClick
images_production: 135
|
ImageQueryNewsProbGivenNoClick
images_production: 136
|
ImageQueryFaceProbGivenClick
images_production: 137
|
ImageQueryFaceProbGivenNoClick
images_production: 138
|
ImageQueryWallpaperProbGivenClick
images_production: 139
|
ImageQueryWallpaperProbGivenNoClick
images_production: 140
|
ImageQueryClipartProbGivenClick
images_production: 141
|
ImageQueryClipartProbGivenNoClick
images_production: 142
|
ImageQueryLineartProbGivenClick
images_production: 143
|
ImageQueryLineartProbGivenNoClick
images_production: 144
|
ImageQueryDemotivatorProbGivenClick
images_production: 145
|
ImageQueryPhotoProbGivenClick
images_production: 146
|
ImageQueryPhotoProbGivenNoClick
images_production: 147
|
ImageQueryCommercialProbGivenClick
images_production: 148
|
QueryClusterErotic
images_production: 151
The proximity of the request to the Erotic Claus based on T2T DSSM
|
QueryClusterCities
images_production: 152
The proximity of the request to the cities based on T2T DSSM
|
ImageIBocm
images_production: 153
|
ImageQueryDoppFaceProbGivenClick
images_production: 154
|
ImageQueryDoppFaceProbGivenNoClick
images_production: 155
|
ImageQueryDocUsedToCalcAttrsFactors
images_production: 156
|
QueryClusterTajik
images_production: 157
BLACES Naproese KlamaCter districts of the country of domestic and Mir Said Ali Khamadoni Bobuy] on the Osney I2T DSSM
|
ImageQueryDoppPhotoProbGivenClick
images_production: 158
|
ImageQueryDoppPhotoProbGivenNoClick
images_production: 159
|
MatrixNet
images_production: 160
Matrixnet is applied to all factors - formula
|
QueryClusterPresents
images_production: 162
The proximity of the request to the Clauster [DIY Birthday Gifts] based on T2T DSSM
|
QueryClusterVectorImages
images_production: 163
The proximity of the request to the Clauster [interesting vector drawings] based on T2T DSSM
|
NumWordsTRSy
images_production: 164
The percentage of the words of the request in the document (with an accuracy to a synonym)
|
ImagePhraseLRSyn
images_production: 165
|
QueryClusterAutoTuning
images_production: 167
The proximity of the request to the Clauster [tuning of domestic cars photo] based on T2T DSSM
|
QueryClusterTvSeries
images_production: 174
The proximity of the request to the cluster of TV shows based on i2t dssm
|
QueryClusterElectronics
images_production: 175
The proximity of the cluster request [GSM dimensions Teleofis RX 608 L 4 U V 2] based on i2T dSSM
|
IsRelevLocaleKZ
images_production: 178
relev_locale == kz
|
DiversityCategReview
images_production: 179
0 or 1 - whether the request is matured by the tickt
|
ExpectedFound
images_production: 180
Expected number of found on request
|
GeoRegionalityV
images_production: 181
V- geovital - regional issuance is of fundamental importance
|
QueryUrlSimilarity
images_production: 182
|
MatchedToUrlTrigrams
images_production: 183
|
MatchedToQueryTrigrams
images_production: 184
|
HasAllWordsTRSyAvgMeta
images_production: 186
The document has all the words of the request (accurate to synonym) - Top Average
|
TextWord1TFRatioAvgMeta
images_production: 187
Ratio of word_1 hits to all hits - top average
|
TextWord2TFRatioAvgMeta
images_production: 188
Ratio of word_2 hits to all hits - top average
|
IsText
images_production: 191
It launches on the basic search under the name ISTEXT the maximum weight of the TEXT or Text1 category of the category of the category met in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#istext more)))
|
QueryThEncyclopedic
images_production: 192
The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561
|
QueryThVideohosting
images_production: 193
The result of the work of the lexical classifier of requests predicting the likelihood of click on the page 3973 page
|
IsPicture
images_production: 194
It launches on the basic search under the name Ispicture the maximum weight of the Picture or Picture1 category of the category of the category of the category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ispicture))))))))))))))))))
|
QClassPorno
images_production: 195
porn
|
IsNavMxQuery
images_production: 196
Rank 'navigation'
|
AvgSessionLen
images_production: 197
The average length of the logical session in which there was a request
|
TovarCategoryQuery
images_production: 198
The request mentions the product category.
|
MaxOne
images_production: 199
Returns the maximum degree of household objects in the request under the name Wmaxone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#maxone more)))))))
|
MinOne
images_production: 200
Returns the maximum degree of household objects in the request under the name Wminone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#minone more)))))
|
AnnYaBclmPlain
images_production: 203
Plane bclm based on queries from yandex sessions
|
AnnYaBclmWeighted
images_production: 204
Weighted bclm based on queries from yandex sessions
|
ImageIBocmDouble
images_production: 206
|
QueryUrlPCTR2
images_production: 207
the CTR of the url given query
|
QueryUrlPCTR_Reg2
images_production: 208
the CTR of the url given query and region
|
DoppUrlPCTR2
images_production: 209
the CTR of the url given doppelganger-normalized query
|
DoppUrlPCTR_Reg2
images_production: 210
the CTR of the url given doppelganger-normalized query and region
|
TextWord3TFRatioAvgMeta
images_production: 216
Ratio of word_3 hits to all hits - top avg
|
QueryDocFRC_Reg
images_production: 217
The ratio of the number of clicks by the document to the total number of clicks for this request
|
DoppQueryDocFRC_Reg
images_production: 218
The ratio of the number of clicks by the document to the total number of clicks on a normalized request
|
QueryDocClicksCount
images_production: 219
(Number of clicks on the picture for this request) / (number of clicks + 100)
|
DoppQueryDocClicksCount
images_production: 220
(Number of clicks on the picture for a normalized request) / (number of clicks + 100)
|
AnnYaBocmPlain
images_production: 221
Plain Bocm base on queries from yandex sessions
|
QueryLongestDigitSequenceLength
images_production: 222
|
IsHum
images_production: 223
It launches on the basic search under the name ISHUM the maximum weight of the enclosed object of the Hum or Hum1 category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ishum more)))))
|
QueryClusterPorn
images_production: 224
The proximity of the request to the cluster porn based on i2t dssm
|
AnnGoFrcBclmPlain
images_production: 225
Bclm plain with frcs based on queries from popular search engine sessions
|
AnnTitleBclmPlain
images_production: 226
Plane bclm based on titles
|
AnnTitleBclmWeighted
images_production: 227
Weighted bclm based on titles
|
AnnGoBocmPlain
images_production: 228
Non-weighted plain Bocm based on queries from popular search engine sessions
|
AnnTitleBocmPlain
images_production: 229
Bocm plain for titles
|
YabarWordDepthNodesGradientMin
images_production: 230
The angle in the Depth Nodes space, counted only by words (min for all)
|
QueryWideness1vs23
images_production: 231
Widespread request 1 category versus 2.3
|
QueryWideness12vs3
images_production: 232
Widespread request 1.2 Category versus 3
|
QueryClusterCassiManer
images_production: 233
The proximity of the request to [Cassi Maner] (probably a generalized female name) based on i2T dSSM
|
AnnYaBclmPlainMaxMeta
images_production: 234
Plane bclm based on queries from yandex sessions - top max
|
QueryHasFIO
images_production: 239
FIO Wizard FIO Wizard
|
QfufTopSumWFSumWImagesTitlePerWordCMMaxPredictionMin
images_production: 241
Linguistic boosting factor. Type of extensions: QFUF. Aggregation by TOP-10 (by the value of the factor) extensions. A suspended sum of the Libra of factors. Normalized for the total weight of extensions. Title pages with pictures. PerwordCmmaxMatchMin algorithm: At least according to the maximum of the CMMAXMATCH weight abstracts.
|
QfufAllTotalW
images_production: 242
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. Transferred the total weight of the extensions.
|
QfufAllMaxWFImagesTitleExactQueryMatchAvgValue
images_production: 243
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest balanced value of the factor. Title pages with pictures. The average weight of the anntations among those in which the request was an accurate tuning.
|
ImageText2TextBundleRelevanceV2
images_production: 244
Relevance of the image based on dssm query extensions + features of selected links
|
ImageClickSimQFuf
images_production: 245
Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector from Qfuf lb extensions
|
QfufTopMinFImagesClickSimilarityPerWordAMMaxValueMin
images_production: 246
Linguistic boosting factor. Type of extensions: QFUF. Aggregation by TOP-10 (by the value of the factor) extensions. The smallest value of the factor. Words from the Click-Similarity vector of the Pictures document. At least in all words from the size of 'maximum weight of annotations completely covered with a request and containing a given word.'
|
QueryMeanShownPages
images_production: 247
The average number of viewed pages on request / (average number of pages + 100)
|
QueryLength
images_production: 249
Request length in symbols - min (Len/200, 1)
|
ImageTrQuery
images_production: 251
Query is turkish (qmpl)
|
AnnOcrBclmPlain
images_production: 252
Bclm plain for OCR
|
AnnOcrBocmPlain
images_production: 253
Bocm plain for OCR
|
WordPairsWeight
images_production: 254
|
DoppQueryDocImagesSessionsFRC
images_production: 258
QueryDoc images sessions FRC
|
AnnTagsBM15StrictK4AvgMeta
images_production: 259
BM15 k4 base on tags from computer vision - top avg
|
TextWord1PosShiftAvgMeta
images_production: 260
Distance from average position of word 1 to position 1 - top avg
|
ImageQueryDlRelevanceV12VarMeta
images_production: 261
Relevance of the image based on dl features Version 12 - top variance
|
AnnOcrAnnotationMatchPredictionVarMeta
images_production: 262
Annotation match prediction base on OCR - top variance
|
DoppQueryDocRightClicksFRC
images_production: 264
QueryDoc right clicks FRC
|
DoppQueryDocDwellTimeFRC
images_production: 265
QueryDoc dwell time FRC
|
WaresGeo
images_production: 266
Wares geo feature
|
WaresSoft
images_production: 267
Wares soft feature
|
WaresMusic
images_production: 268
Wares music feature
|
WaresBand
images_production: 269
Wares band feature
|
WaresAuto
images_production: 270
Wares auto feature
|
WaresIntent
images_production: 271
Wares intent feature
|
AnnOcrAnnotationMatchPredictionAvgMeta
images_production: 272
Annotation match prediction base on OCR - top avg
|
FrcXfactor
images_production: 273
Request-murl factor. Meaning - the result of collaborative filtration of data for FRC factor
|
QfufTopSumW2FSumWImagesYaClicksPerWordCMMaxMatchMin
images_production: 282
Linguistic boosting factor. Type of extensions: QFUF. Aggregation by TOP-10 (by the value of the factor) extensions. The amount by the square of the expansion, multiplied by the value of the factor. Normalized for the total weight of extensions. Requests on which they click on the document in the pictures. PerwordCmmaxMatchMin algorithm: The minimum according to CMMMAXMATCH weight.
|
QfufAllSumWFSumWImagesYaClicksExactQueryMatchAvgValue
images_production: 283
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. A suspended sum of the Libra of factors. Normalized for the total weight of extensions. Requests on which they click on the document in the pictures. The average weight of the anntations among those in which the request was an accurate tuning.
|
QfufAllMaxWFSumWImagesYaClicksBclmMixPlainKE5
images_production: 284
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest balanced value of the factor. Normalized for the total weight of extensions. Requests on which they click on the document in the pictures. The algorithm for aggregation of words weights is BCLMMIXPLAIN: a linear mixture of annotation BCLM weights and balanced Positionless weights of the word, then the former meters are aggregated through BM15. Normalization coefficient 10^(-5).
|
AnnYaAnnotationMatchPrediction
images_production: 288
Annotation match prediction base on queries from yandex sessions
|
AnnYaBM15StrictK4
images_production: 289
BM15 k4 base on queries from yandex sessions
|
AnnYaValueWcmMax
images_production: 290
Value wcm max base on queries from yandex sessions
|
AnnBocmWeightedK9
images_production: 291
Weighted bocm k9 base on queries from yandex sessions
|
QueryWord1Weight
images_production: 292
Word weight from TRIterator->GetHitInfo() for first word
|
QueryWord2Weight
images_production: 293
Word weight from TRIterator->GetHitInfo() for second word
|
QueryWord3Weight
images_production: 294
Word weight from TRIterator->GetHitInfo() for third word
|
QueryMaxWordWeight
images_production: 295
Max word weight from TRIterator->GetHitInfo() for all words
|
QueryMinWordWeight
images_production: 296
Min word weight from TRIterator->GetHitInfo() for all words
|
QueryMaxQuorumWordWeight
images_production: 297
Max quorum word weight from TRIterator->GetHitInfo() for all words
|
QueryMinQuorumWordWeight
images_production: 298
Min quorum word weight from TRIterator->GetHitInfo() for all words
|
TextWord1PosShift
images_production: 306
Distance from average position of word 1 to position 1
|
TextWord2PosShift
images_production: 307
Distance from average position of word 2 to position 2
|
TextMinWordPosShift
images_production: 308
Min of distances of average position of word_i to prosition i
|
TextMaxWeightedWordPosVariance
images_production: 309
Max weighted variance of position of word_i for all i
|
TextWord1ExactRatio
images_production: 310
Ratio of EQUAL_BY_STRING hits of word_1 to all hits of word_2
|
TextWord2ExactRatio
images_production: 311
Ratio of EQUAL_BY_STRING hits of word_2 to all hits of word_2
|
TextWord3ExactRatio
images_production: 312
Ratio of EQUAL_BY_STRING hits of word_3 to all hits of word_3
|
TextGlobalExactRatio
images_production: 313
Ratio of EQUAL_BY_STRING hits to all hits for all words
|
TextWord1TFRatio
images_production: 314
Ratio of word_1 hits to all hits
|
TextWord2TFRatio
images_production: 315
Ratio of word_2 hits to all hits
|
TextWord3TFRatio
images_production: 316
Ratio of word_3 hits to all hits
|
TextAvgDistForTwoImportantStr
images_production: 317
Average distance between EQUAL_BY_STRING hits of two max-weighted words in one break
|
TextMaxPrefixLenStr
images_production: 318
Max prefix length(in words) of exact(by position and form) match
|
TextAvgDist12Syn
images_production: 319
Average distance between word_1 and word_2 in a break
|
TextMaxAvgDistSyn
images_production: 320
Max average distance between word_i and word_i+1 in a break
|
TextMaxPrefixLenSyn
images_production: 321
Max prefix length(in words) of exact(by position) matches
|
AnnYaWord1PosShift
images_production: 322
Distance between average position of word_1 and 1
|
AnnYaWord2PosShift
images_production: 323
Distance between average position of word_2 and 2
|
AnnYaMinWordPosShift
images_production: 324
Min distance between average position of word_i and i
|
AnnYaMinWordPosVariance
images_production: 325
Min variance of position of word_i for all i
|
AnnYaWord1ExactRatio
images_production: 326
Ratio of word_1 EQUAL_BY_STRING hits to all word_1 hits
|
AnnYaWord2ExactRatio
images_production: 327
Ratio of word_2 EQUAL_BY_STRING hits to all word_2 hits
|
AnnYaGlobalExactRatio
images_production: 328
Ratio of EQUAL_BY_STRING hits to all hits for all words
|
AnnYaWord1TFRatio
images_production: 329
Ratio of word_1 hits to all hits
|
AnnYaWord2TFRatio
images_production: 330
Ratio of word_2 hits to all hits
|
AnnYaMinWordTFRatio
images_production: 331
Min of ratios of word_i hits to all hits
|
AnnYaMaxWordTFAbsValue
images_production: 332
Max of word_i hits for all i
|
AnnYaMaxPrefixLenStr
images_production: 333
Max prefix length(in words) of exact(by position and form) hits
|
AnnYaContainsWholeQueryStr
images_production: 334
Number of exact query-matches
|
AnnYaAvgDist12Syn
images_production: 335
Average distance between word_1 and word_2 exact matches in a break
|
AnnYaMaxAvgDistSyn
images_production: 336
Max average distance between word_i and word_i+1 any-form matches in a break
|
AnnYaMaxPrefixLenSyn
images_production: 337
Max prefix length(in words) of exact(by position) hits
|
QClassDownload
images_production: 345
= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen
|
AnnOcrAnnotationMatchPrediction
images_production: 349
Annotation match prediction base on OCR
|
AnnTagsBclmPlain
images_production: 353
Plane bclm based on tags from computer vision
|
AnnTagsBclmWeighted
images_production: 354
Weighted bclm based on tags from computer vision
|
AnnTagsBocmPlain
images_production: 355
Plain Bocm base on tags from computer vision
|
AnnTagsAnnotationMatchPrediction
images_production: 356
Annotation match prediction base on tags from computer vision
|
AnnTagsBM15StrictK4
images_production: 357
BM15 k4 base on tags from computer vision
|
AnnTagsBocmWeightedK9
images_production: 358
Weighted bocm k9 base on tags from computer vision
|
ImageAltTitleBocm
images_production: 361
|
ImageAltTitleBocmDouble
images_production: 362
|
ImageNonAltTitleBocm
images_production: 363
|
ImageNonAltTitleBocmDouble
images_production: 364
|
ImageQueryDlRelevanceV10
images_production: 365
Relevance of the image based on dl features Version 10
|
ImageAltTitleValueWcmAvg
images_production: 366
Feature from utracker
|
ImageAltTitleValueWcmPrediction
images_production: 367
Feature from utracker
|
ImageAltTitleBm15MaxK3
images_production: 368
Feature from utracker
|
ImageAltTitleBclmPlainW1K3
images_production: 369
Feature from utracker
|
ImageAltTitleBclmWeightedK3
images_production: 370
Feature from utracker
|
ImageAltTitleBocmWeightedW1K3
images_production: 371
Feature from utracker
|
ImageAltTitleBocmWeightedMaxK1
images_production: 372
Feature from utracker
|
ImageAltTitleBm15CoverageK3
images_production: 373
Feature from utracker
|
ImageAltTitleBclmWeightedV2K3
images_production: 374
Feature from utracker
|
ImageAltTitleBocmDoubleK5
images_production: 375
Feature from utracker
|
ImageNearbyTextValueWcmAvg
images_production: 376
Feature from utracker
|
ImageNearbyTextValueWcmPrediction
images_production: 377
Feature from utracker
|
ImageNearbyTextBm15MaxK3
images_production: 378
Feature from utracker
|
ImageNearbyTextBclmPlainW1K3
images_production: 379
Feature from utracker
|
ImageNearbyTextBclmWeightedK3
images_production: 380
Feature from utracker
|
ImageNearbyTextBocmWeightedW1K3
images_production: 381
Feature from utracker
|
ImageNearbyTextBocmWeightedMaxK1
images_production: 382
Feature from utracker
|
ImageNearbyTextBocmDoubleK5
images_production: 383
Feature from utracker
|
ImageTextAnnotationMatchPredictionWeighted
images_production: 384
Feature from utracker
|
ImageTextValueWcmAvg
images_production: 385
Feature from utracker
|
ImageTextValueWcmPrediction
images_production: 386
Feature from utracker
|
ImageTextBm15StrictK2
images_production: 387
Feature from utracker
|
ImageTextBm15MaxK3
images_production: 388
Feature from utracker
|
ImageTextBclmPlainW1K3
images_production: 389
Feature from utracker
|
ImageTextBclmWeightedK3
images_production: 390
Feature from utracker
|
ImageTextBocmWeightedW1K3
images_production: 391
Feature from utracker
|
ImageTextBocmWeightedMaxK1
images_production: 392
Feature from utracker
|
ImageTextBm15K9
images_production: 393
Feature from utracker
|
ImageTextBm15CoverageK3
images_production: 394
Feature from utracker
|
ImageTextBm15CoverageV2K3
images_production: 395
Feature from utracker
|
ImageTextBm15CoverageV4K3
images_production: 396
Feature from utracker
|
ImageTextBclmPlainK5
images_production: 397
Feature from utracker
|
ImageTextBclmWeightedV2K3
images_production: 398
Feature from utracker
|
ImageTextBclmMixPlainW1K1
images_production: 399
Feature from utracker
|
ImageTextBocmPlain
images_production: 400
Feature from utracker
|
ImageTextBocmWeightedK5
images_production: 401
Feature from utracker
|
ImageTextBocmWeightedK7
images_production: 402
Feature from utracker
|
ImageTextBocmWeightedK9
images_production: 403
Feature from utracker
|
ImageTextBocmWeightedV4W1K2
images_production: 404
Feature from utracker
|
ImageTextBocmDoubleK5
images_production: 405
Feature from utracker
|
AnnL1BocmPlain
images_production: 406
Bocm plain used in fastrank for all ann hits
|
AnnL1BocmDouble
images_production: 407
Bocm double used in fastrank for all ann hits
|
AnnL1BfExact
images_production: 408
BfExact used in fastrank for all ann hits
|
AnnL1ImageDbm25
images_production: 409
ImageDbm25 used in fastrank for all ann hits
|
AnnL1LargestSyInexactGroup
images_production: 410
LargestSyInexactGroup used in fastrank for all ann hits
|
LbXfImgClicksBowImagesYaClicksAnnotationMatchAvgValueAvgMeta
images_production: 423
LingvoBoosting features from XfImgClicks expansion - top avg
|
ImageOwnersWithHitsShareAvgMeta
images_production: 425
|
AnnGxfrcBclmPlain
images_production: 427
Plane bclm based on collaborative filtering of google frc
|
AnnGxfrcBclmWeighted
images_production: 428
Weighted bclm based on collaborative filtering of google frc
|
AnnGxfrcBocmPlain
images_production: 429
Plain Bocm base on collaborative filtering of google frc
|
AnnGxfrcAnnotationMatchPrediction
images_production: 430
Annotation match prediction base on collaborative filtering of google frc
|
AnnGxfrcBM15StrictK4
images_production: 431
BM15 k4 base on collaborative filtering of google frc
|
AnnGxfrcBocmWeightedK9
images_production: 432
Weighted bocm k9 base on collaborative filtering of google frc
|
AnnGxfrcValueWcmMax
images_production: 433
Value wcm max base on collaborative filtering of google frc
|
AnnRightXfrccBclmPlain
images_production: 434
Plane bclm based on collaborative filtering of right frc
|
AnnRightXfrcBclmWeighted
images_production: 435
Weighted bclm based on collaborative filtering of right frc
|
AnnRightXfrcBocmPlain
images_production: 436
Plain Bocm base on collaborative filtering of right frc
|
AnnRightXfrcBocmDouble
images_production: 437
Double Bocm base on collaborative filtering of right frc
|
AnnRightXfrcAnnotationMatchPrediction
images_production: 438
Annotation match prediction base on collaborative filtering of right frc
|
TextWordWeightSum
images_production: 439
Sum of weights for found words in indexkey/inv
|
AnnWordWeightSum
images_production: 440
Sum of weights for found words in indexannkey/inv
|
AnnTolokaBadValueWcmMaxAvgMeta
images_production: 441
Value wcm max base on BAD toloka ratings - top avg
|
ImageQueryDoppTolokaAverageOK
images_production: 442
Average probability of OK judgment on all urls for query in toloka cleaning top queries (dopp)
|
AnnTolokaOkBocmDouble
images_production: 443
Double Bocm base on OK toloka ratings
|
AnnTolokaBadBocmDouble
images_production: 444
Double Bocm base on BAD toloka ratings
|
AnnTolokaOkBocmWeightedK9
images_production: 445
Weighted bocm k9 base on OK toloka ratings
|
AnnTolokaBadBocmWeightedK9
images_production: 446
Weighted bocm k9 base on BAD toloka ratings
|
AnnTolokaOkBocmPlain
images_production: 447
Plain Bocm base on OK toloka ratings
|
AnnTolokaBadBocmPlain
images_production: 448
Plain Bocm base on BAD toloka ratings
|
AnnTolokaOkAnnotationMatchPrediction
images_production: 449
Annotation match prediction base on OK toloka ratings
|
AnnTolokaBadAnnotationMatchPrediction
images_production: 450
Annotation match prediction base on BAD toloka ratings
|
AnnTolokaOkValueWcmMax
images_production: 451
Value wcm max base on OK toloka ratings
|
AnnTolokaBadValueWcmMax
images_production: 452
Value wcm max base on BAD toloka ratings
|
AnnTolokaOkBM15StrictK4
images_production: 453
BM15 k4 base on OK toloka ratings
|
AnnTolokaBadBM15StrictK4
images_production: 454
BM15 k4 base on BAD toloka ratings
|
AnnTolokaOkValueWcmMaxAvgMeta
images_production: 455
Value wcm max base on OK toloka ratings - top avg
|
AnnTolokaBadBclmPlain
images_production: 456
Plane bclm based on BAD toloka ratings
|
AnnTolokaOkBclmWeighted
images_production: 457
Weighted bclm based on OK toloka ratings
|
AnnTolokaBadBclmWeighted
images_production: 458
Weighted bclm based on BAD toloka ratings
|
QueryClusterNature
images_production: 466
The proximity of the request to [Nature of the world photo] based on i2t dssm
|
RequestWithRegionNameImagesOCRWordCoverageExact
images_production: 467
The initial request with the addition of the name of the region. Text in the picture, recognized OCR. The degree of covering the words of the request in the exact form.
|
XfImgClicksAllMaxFTitleWordCoverageForm
images_production: 468
Linguistic boosting factor. Type of extensions: XFIMGCLICS. Aggregation on all extensions. The greatest value of the factor. It is considered according to the heading of the document. The degree of coating of the words of the request is accurate to the form (without synonyms).
|
XfImgClicksAllMaxWFTitleExactQueryMatchAvgValue
images_production: 469
Linguistic boosting factor. Type of extensions: XFIMGCLICS. Aggregation on all extensions. The greatest balanced value of the factor. It is considered according to the heading of the document. The average weight of the anntations among those in which the request was an accurate tuning.
|
XfDtShowTopSumW2FSumWImagesCVTagsPerWordAMMaxValueMin
images_production: 470
Linguistic boosting factor. Type of extensions: XFDTSHOW. Aggregation by TOP-10 (by the value of the factor) extensions. The amount by the square of the expansion, multiplied by the value of the factor. Normalized for the total weight of extensions. Tags to pictures from computer vision. At least in all words from the size of 'maximum weight of annotations completely covered with a request and containing a given word.'
|
XfDtShowAllMaxFImagesOCRv2WordCoverageExact
images_production: 473
Linguistic boosting factor. Type of extensions: XFDTSHOW. Aggregation on all extensions. The greatest value of the factor. The text in the picture recognized by OCR (2nd version). The degree of covering the words of the request in the exact form.
|
RequestWithRegionNameImagesRightXFRCPerWordCMMaxPredictionMin
images_production: 474
The initial request with the addition of the name of the region. Stream ImageSrightxFRC. PerwordCmmaxMatchMin algorithm: At least according to the maximum of the CMMAXMATCH weight abstracts.
|
LinearModelPredictionL2
images_production: 479
Prediction of a linear model at L2 Stages
|
LinearModelPredictionL3
images_production: 480
Prediction of a linear model at L3 Stages
|
QueryDoppMedianDwelltime
images_production: 481
Median dwelltai requests in history. Dwelltaym is cut to 6000. The request is normalized by doppelgangers
|
QueryDoppMultipleClicksProbability
images_production: 482
The share of shows with more than one click from all shows in history. The request is normalized by doppelgangers
|
RandomLogWordSkipStopWordsMaxIsDesktopRequest
images_production: 483
For each word offline, the average ISDESKTOPREQUEST value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
|
QueryCM2
images_production: 484
Query commerce classifier cm2
|
QueryVcomm
images_production: 485
Query commerce classifier vcomm
|
ImagesMinAge
images_production: 488
Minimum age of images
|
ImagesMaxAge
images_production: 489
Maximum age of images
|
AnnShowsTimeXfrccBclmPlain
images_production: 492
Plane bclm based on collaborative filtering of showstime frc
|
AnnShowstTmeXfrcBclmWeighted
images_production: 493
Weighted bclm based on collaborative filtering of showstime frc
|
AnnShowsTimeXfrcBocmPlain
images_production: 494
Plain Bocm base on collaborative filtering of showstime frc
|
AnnShowsTimeXfrcBocmDouble
images_production: 495
Double Bocm base on collaborative filtering of showstime frc
|
AnnShowsTimeXfrcAnnotationMatchPrediction
images_production: 496
Annotation match prediction base on collaborative filtering of showstime frc
|
ImageText2TextRelevance
images_production: 497
Relevance of the image based on dssm query + top5 links features
|
AnnCommercialClicksBclmPlain
images_production: 499
Plane bclm based on commercial clicks
|
AnnCommercialClicksBclmWeighted
images_production: 500
Weighted bclm based on commercial clicks
|
AnnCommercialClicksBocmPlain
images_production: 501
Plain Bocm base on commercial clicks
|
AnnCommercialClicksBocmDouble
images_production: 502
Double Bocm base on commercial clicks
|
AnnCommercialClicksAnnotationMatchPrediction
images_production: 503
Annotation match prediction base on commercial clicks
|
AnnTouchClicksBocmPlain
images_production: 504
Plain Bocm base on touch queries from yandex sessions
|
AnnTouchClicksCtrBclmPlain
images_production: 505
Bclm plane on ctr based on touch queries from yandex sessions
|
AnnTouchClicksAnnotationMatchPrediction
images_production: 506
Annotation match prediction base on touch queries from yandex sessions
|
AnnTouchClicksBM15StrictK4
images_production: 507
BM15 k4 base on touch queries from yandex sessions
|
AnnTouchClicksBocmWeightedK9
images_production: 508
Weighted bocm k9 base on touch queries from yandex sessions
|
AnnTouchClicksValueWcmMax
images_production: 509
Value wcm max base on touch queries from yandex sessions
|
AnnTouchClicksBclmWeighted
images_production: 510
Weighted bclm based on touch queries from yandex sessions
|
AnnTouchClicksBclmPlain
images_production: 511
Plane bclm based on touch queries from yandex sessions
|
QueryUrlTouchPCTR
images_production: 513
The touch CTR of the url given query
|
DoppUrlTouchPCTR
images_production: 514
The touch CTR of the url given doppelganger-normalized query
|
AnnYaWord1TFRatioVarMeta
images_production: 515
Ratio of word_1 hits to all hits - top variance
|
LbXfImgClicksAllSumfCountImagesYaClicksFullMatchValueVarMeta
images_production: 517
LingvoBoosting features from XfImgClicks expansion - top variance
|
LbXfImgClicksAllMaxfTitle
images_production: 518
LingvoBoosting features from XfImgClicks expansion
|
LbXfImgClicksAllMaxfImagesTitleBm15
images_production: 519
LingvoBoosting features from XfImgClicks expansion
|
LbXfImgClicksAllMaxwfImagesCvTagsBm15
images_production: 520
LingvoBoosting features from XfImgClicks expansion
|
LbXfImgClicksAllSumfCountImagesYaClicksFullMatchValue
images_production: 521
LingvoBoosting features from XfImgClicks expansion
|
LbXfImgClicksAllAvgw
images_production: 522
LingvoBoosting features from XfImgClicks expansion
|
LbXfImgClicksAllTotalw
images_production: 523
LingvoBoosting features from XfImgClicks expansion
|
LbXfImgClicksAllMinw
images_production: 524
LingvoBoosting features from XfImgClicks expansion
|
LbXfImgClicksTopSumwfSumwBodyPairMinProximity
images_production: 525
LingvoBoosting features from XfImgClicks expansion
|
LbXfImgClicksBowImagesYaClicksAnnotationMatchAvgValue
images_production: 526
LingvoBoosting features from XfImgClicks expansion
|
LbXfImgClicksBowTextOriginalRequestFractionExact
images_production: 527
LingvoBoosting features from XfImgClicks expansion
|
RealImagesMaxAgeFromRequest
images_production: 533
Maximum age of images from crcdb in minuties over request timestamp. Used only in fresh search
|
RealImagesMaxAgeFromRequestFull
images_production: 534
(images age over request) / (iamges age over request + 1440). Used only in fresh search
|
ReqBundleDocSimI2T
images_production: 537
Similarity of doc and query expansions (image to text)
|
QueryActuality
images_production: 552
The relevance of the request for the classifier
|
AnnShareClicksBclmPlain
images_production: 553
Plane bclm based on share clicks
|
AnnShareClicksBclmWeighted
images_production: 554
Weighted bclm based on share clicks
|
AnnShareClicksBocmPlain
images_production: 555
Plain Bocm base on share clicks
|
AnnShareClicksBocmDouble
images_production: 556
Double Bocm base on share clicks
|
AnnShareClicksAnnotationMatchPrediction
images_production: 557
Annotation match prediction base on share clicks
|
AnnDownloadClicksBclmPlain
images_production: 558
Plane bclm based on download clicks
|
AnnDownloadClicksBclmWeighted
images_production: 559
Weighted bclm based on download clicks
|
AnnDownloadClicksBocmPlain
images_production: 560
Plain Bocm base on download clicks
|
AnnDownloadClicksBocmDouble
images_production: 561
Double Bocm base on download clicks
|
AnnDownloadClicksAnnotationMatchPrediction
images_production: 562
Annotation match prediction base on download clicks
|
AnnGreenUrlClicksBclmPlain
images_production: 563
Plane bclm based on greenurl clicks
|
AnnGreenUrlClicksBclmWeighted
images_production: 564
Weighted bclm based on greenurl clicks
|
AnnGreenUrlClicksBocmPlain
images_production: 565
Plain Bocm base on greenurl clicks
|
AnnGreenUrlClicksBocmDouble
images_production: 566
Double Bocm base on greenurl clicks
|
AnnGreenUrlClicksAnnotationMatchPrediction
images_production: 567
Annotation match prediction base on greenurl clicks
|
ImageQuickShows10min30min
images_production: 569
10 mins shows count to 30 mins shows count
|
ImageQuickClicks10min30min
images_production: 570
10 mins clicks count to 30 mins clicks count
|
ImageQuickShows10min
images_production: 571
10 mins shows count
|
ImageQuickClicks10min
images_production: 572
10 mins clicks count
|
ImageQuickCtr10min
images_production: 573
10 mins ctr
|
ImageQuickPageSum1h8h
images_production: 574
1h page sum of the doc to 8h page sum of the doc
|
ImageLocalQueryDlRelevanceV8
images_production: 575
Relevance of the image based on dl features Version 8 for request with country name
|
ImageText2TextLocalRelevanceV2
images_production: 576
Relevance of the image based on dssm query + features of selected links for request with country name
|
AnnYaWord1PosShiftAvgMeta
images_production: 581
Distance between average position of word_1 and 1 - top avg
|
AnnClickSimLemma
images_production: 583
|
AnnClickSimLemmaW
images_production: 584
|
IsRelevLocaleUA
images_production: 601
Relev_locale == ua
|
DssmRandomLogQueryAvgDifferentInternalLinks
images_production: 609
The average DifferentinTernallinks for the year for the year.
|
RandomLogWordMaxHasNoTr
images_production: 610
For each word offline, the average Hasnotr meaning is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.
|
MisspellLmRtlNgrWebMtOriginal
images_production: 611
Summary of the Skorov words of the request by the Web-Mt language model.
|
DssmRandomLogQueryAvgRegBrowserUserHub
images_production: 617
The average value of Regbrowseruserhub for the year for a year predicted using a neural network.
|
DssmRandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
images_production: 618
The Malue Network DwellTime-AMI predicted using the neural network is the value of Urldomainfraction for the year.
|
RandomLogQueryAvgDifferentInternalLinks
images_production: 619
The average value is DifferentinTernallinks for the year. It is calculated in offline.
|
RandomLogQueryAvgHasNoAllWordsTRSy
images_production: 620
The average Hasnoallwordstersy value for the year. It is calculated in offline.
|
DssmRandomLogQueryAvgTextLike
images_production: 621
The average Textlike is predicted using a neural network for the year.
|
DssmBoostingXfOneSeAmSsHardQueryMutationAddFixedYearWordRenormedDistance
images_production: 622
Characterizes the request for the degree of change from the addition of a fixed word (number of some year), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
|
DssmRandomLogQueryAvgIsForum
images_production: 623
The average ISFORUM is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgAddTime
images_production: 624
ADDTIME ADDTIME is predicted using a neural network for a year.
|
RandomLogWordSkipStopWordsMaxDBM40
images_production: 625
For each word offline, the average DBM40 value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
|
DssmRandomLogQueryAvgIsIndexPage
images_production: 626
The average ISindEXPAGE is predicted using a neural network for the year.
|
CountrySpecificQueryFromFixlist
images_production: 629
Request from the list of Nursericulus requests
|
IsRelevLocaleRu
images_production: 630
Relev_locale == ru
|
QfufAllMaxWFTitleBclmPlaneProximity1Bm15W0Size1K0001
images_production: 631
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest balanced value of the factor. It is considered according to the heading of the document. The BCLMPLANEPROXIMITY15W0SIZE1 algorithm: uses BCLM with free weighing if there are several words, if the word is one, then the sum of hits is used as a type of coincidence. Normalization coefficient 0.001.
|
QfufTopMinWFSumWTitleBclmMixPlainKE5
images_production: 632
Linguistic boosting factor. Type of extensions: QFUF. Aggregation by TOP-10 (by the value of the factor) extensions. Nimenest, balanced meaning of the factor. Normalized for the total weight of extensions. It is considered according to the heading of the document. The algorithm for aggregation of words weights is BCLMMIXPLAIN: a linear mixture of annotation BCLM weights and balanced Positionless weights of the word, then the former meters are aggregated through BM15. Normalization coefficient 10^(-5).
|
QfufAllMaxWFMaxWTitleExactQueryMatchAvgValue
images_production: 634
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest balanced value of the factor. It is normalized for the maximum weight of expansion. It is considered according to the heading of the document. The average weight of the anntations among those in which the request was an accurate tuning.
|
ImageClickSimBowMinAnnWeight
images_production: 655
Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector, min ann weight
|
ImageClickSimMaxNotMatchedQueryWordWeight
images_production: 656
Max weight of a word from click similarity query vector which is not found in CS document vector
|
XfDtShowAllMaxWFMaxWTitleExactQueryMatchAvgValue
images_production: 657
Linguistic boosting factor. Type of extensions: XFDTSHOW. Aggregation on all extensions. The greatest balanced value of the factor. It is normalized for the maximum weight of expansion. It is considered according to the heading of the document. The average weight of the anntations among those in which the request was an accurate tuning.
|
ImageClickSimMaxNotMatchedQfufQueryWordWeight
images_production: 658
Max weight of a word from click similarity qfuf query vector which is not found in CS document vector
|
QueryDateFromRequest
images_production: 659
Blender Factor QueryhasDate. There is a date in the request; It is considered to be 1 / (1 + the difference between the date of the query task and the date in the request in full days)
|
QfufAllMaxWFImagesTitleExactQueryMatchAvgValueAvgMeta
images_production: 671
Top avg meta-factor for QfufAllMaxWFImagesTitleExactQueryMatchAvgValue.
|
MatchedToUrlTrigramsVarMeta
images_production: 675
MatchedToUrlTrigrams variance
|
ImageClickSimBowMinAnnWeightVarMeta
images_production: 676
Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector, min ann weight - variance
|
ImageQueryDlRelevanceV11
images_production: 677
Relevance of the image based on dl features Version 11
|
ImageQueryDlBundleRelevanceV10
images_production: 678
Relevance of the image based on dl features Version 10
|
LinearModelPredictionL2Desktop
images_production: 681
Prediction of a linear model at L2 Stages
|
LinearModelPredictionL2Touch
images_production: 682
Prediction of a linear model at L2 Stages
|
LinearModelPredictionL3Desktop
images_production: 683
Prediction of a linear model at L3 Stages
|
LinearModelPredictionL3Touch
images_production: 684
Prediction of a linear model at L3 Stages
|
AllMatchedWordWeightsSumText
images_production: 686
The normalized amount of the scales of the words of the request that met in the text of the document.
|
AllMatchedWordWeightsSumAnn
images_production: 687
The normalized amount of the scales of the words of the request that met in the annotations to the document.
|
StringMatchedWordWeightsSumText
images_production: 688
The normalized amount of the scales of the words of the request that Equal_by_String in the text of the document.
|
StringMatchedWordWeightsSumAnn
images_production: 689
The normalized amount of the scales of the words of the request that Equal_by_String in the annotations to the document.
|
AllMatchedWordFiltrationModelWeightsSumText
images_production: 690
The normalized scales for the IFILTRETRATIONMODEL words of the request that met in the text of the document.
|
AllMatchedWordFiltrationModelWeightsSumAnn
images_production: 691
The normalized scales for the IFILTRETRATIONMODEL words of the request that met in anotages to the document.
|
StringMatchedWordFiltrationModelWeightsSumText
images_production: 692
The normalized scales for the IFILTRETRATIONMODEL Words of the request, which Equal_by_String in the text of the document.
|
StringMatchedWordFiltrationModelWeightsSumAnn
images_production: 693
The normalized scales for the IFILTRETRATIONMODEL Words of the request, which Equal_by_String in the annotations to the document.
|
IsSite
images_production: 701
Query is site (Moscow zoo Official website, tax.ru, Kinopoisk, ETC)
|
QueryReformulationProb
images_production: 702
The probability of reforming a request for a classifier
|
QueryCommercialProb
images_production: 703
The probability of a classifier trained on data from sessions that a commercial request
|
QueryCommercialProbV2
images_production: 704
The probability of a classifier trained on marking that a commercial request
|
IsShopInCountry
images_production: 713
passage link with IsShop and home src tld exists in doc
|
IsShopWithMainContentInCountry
images_production: 714
passage link with IsShop, MainContent and home src tld exists in doc
|
RegionPassageCount
images_production: 716
Number of regional passage links in document
|
RegionPassageShare
images_production: 717
Share of regional passage links in document
|
ImageQueryDlRelevanceV12
images_production: 719
Relevance of the image based on dl features Version 12
|
IsRelevLocaleUZ
images_production: 723
Relev_locale == Us
|
IsRelevLocaleBY
images_production: 724
relev_locale == by
|
IsRelevLocaleID
images_production: 725
relev_locale == id
|
IsRelevLocaleWorld
images_production: 726
relev_locale == world
|
DssmWordSegodnya
images_production: 743
Web DSSM Distance to Word Segodnya
|
DssmWordSmert
images_production: 744
Web dssm distance to word smert
|
DssmWordBiographiya
images_production: 745
Web dssm distance to word biographiya
|
DssmWordTovar
images_production: 746
Web dssm distance to word tovar
|
DssmWordKatalog
images_production: 747
Web dssm distance to word katalog
|
DssmWordSmotret
images_production: 748
Web dssm distance to word smotret
|
DssmWordSezon
images_production: 749
Web dssm distance to word sezon
|
CommCatTravel
images_production: 750
Web commercial query category travel
|
CommCatMarketplace
images_production: 751
Web commercial query category marketplace
|
QueryCommercialProbV3
images_production: 810
The probability of a classifier trained on the marking queries_mining_2020_summer, that the request is commercial
|
ConveyorRandomLogQueryAvgQfufAllMaxWFLinkAnnIndicatorFullMatchValue
images_production: 842
Hippo factor KnnrandomlogqueryFactors-> Conveorrandomlogqueryavgqfuflmaxwflinkannindicatorfullmatchvalue
|
ConveyorRandomLogQueryAvgDifferentInternalLinks
images_production: 843
Hippo factor KNNRANDOMLOGQURYAFACTORS-> ConveyorrandomlogqueryavgdiferentinTernallinks
|
XfDtShowQuantile01
images_production: 844
Quantile 0.1 For the request factor according to the XFDTSHOW linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
|
QueryDoppTimeFromPreviousPercentile25
images_production: 845
25% time quantile from the previous request to the current one. The request is normalized by doppelgangers
|
ImageText2TextRelevanceV3
images_production: 846
Relevance of the image based on dssm t2tv3 query + features of selected links
|
ImageText2TextBundleRelevanceV3
images_production: 847
Relevance of the image based on dssm query extensions + features of selected links, t2tv3
|
ImageBertDistillRelevance
images_production: 864
Relevance of the image based on dssm bert distillation query
|
QueryPayDetectorPredict
images_production: 868
query commercial predict from cgi &relev=pay_detector_predict
|
QueryInteriorProbV1
images_production: 870
The likelihood of a classifier trained in the marking Shows, Conversions_pic, Conversions_web, which is a request about Home_House_Building
|
WizDetectionFurniture
images_production: 871
Requested classifier for furniture from WizDeteration
|
WizDetectionBuildingMaterials
images_production: 872
Requested classifier on the theme of building materials from WizDeteration
|
WizDetectionBuildingInstruments
images_production: 873
Requested classifier on the theme of construction tools from WizDetections
|
QueryPositionsProbV1
images_production: 874
Requested position classifier for relevance
|
WizDetectionQueryCommercialProbV4
images_production: 875
The probability of a classifier trained on the marking queries_mining_2020_summer, that the request is commercial
|
WizDetectionQueryClothesProbV1
images_production: 876
The likelihood of a classifier trained in the marking Shows, Conversions_pic, Conversions_web, which is a request about clothing_shoes_accessories
|
QueryHolidaysCardProb
images_production: 879
The probability of a classifier that a request on the topic of postcards and holidays
|
AnnRTClicksBocmPlain
images_production: 888
Plain Bocm base on queries from runtime yandex sessions
|
AnnRTClicksAnnotationMatchPrediction
images_production: 889
Annotation match prediction base on queries from runtime yandex sessions
|
AnnRTClicksBM15StrictK4
images_production: 890
BM15 k4 base on queries from runtime yandex sessions
|
AnnRTClicksBocmWeightedK9
images_production: 891
Weighted bocm k9 base on queries from runtime yandex sessions
|
AnnRTClicksValueWcmMax
images_production: 892
Value wcm max base on queries from runtime yandex sessions
|
AnnRTClicksBclmWeighted
images_production: 893
Weighted bclm based on queries from runtime yandex sessions
|
AnnRTClicksBclmPlain
images_production: 894
Plane bclm based on queries from runtime yandex sessions
|
QueryInteriorProbV2
images_production: 896
The probability of a classifier trained in marking product categories that a request about Home_House_Building
|
QueryIsCP
images_production: 897
query cp predict from cgi &relev=class_query_is_cp
|
ImageLikesSimilarityMax
images_production: 901
The similarity of the document on the like minus is the similarity of the document to the dizlaiki (maximum)
|
ImageLikesSimilarityAvg
images_production: 902
The similarity of the document on the like minus is the similarity of the document to the dizlaiki (average)
|
ImageQueryDlRelevanceV13
images_production: 904
Relevance of the image based on dl features Version 13
|
WizDetectionGoodsHomeEcom
images_production: 921
Requesty Classifier of the Home Category from WizDeteration
|
WizDetectionGoodsFashionEcom
images_production: 922
Requesty Classifier of the Fashion Category from WizDeteration
|
ImagesGoodsQueryType
images_production: 923
Flag indicating the inclusion of TV by the category of request in the pictures
|
FreshDetectorPredict
images_production: 924
Prediction of the requesting classifier of freshness
|
KinopoiskSuggestAllMaxWFMaxWTitleExactQueryMatchAvgValue
kp_text_machine: 0
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. Type of aggregation for extensions: the greatest balanced value of the factor; It is normalized for the maximum weight of expansion. It is considered according to the heading of the document. The average weight of the anntations among those in which the request was an accurate tuning.
|
KinopoiskSuggestTopMinWFMaxWTitleBclmMixPlainKE5
kp_text_machine: 1
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation by TOP-10 (by the value of the factor) extensions. Type of aggregation for extensions: the smallest balanced value of the factor; The maximum weight of the extension. It is considered according to the heading of the document. The algorithm for aggregation of words weights is BCLMMIXPLAIN: a linear mixture of annotation BCLM weights and balanced Positionless weights of the word, then the former meters are aggregated through BM15. Normalization coefficient 10^(-5).
|
KinopoiskSuggestTopSumW2FSumWTitleExactQueryMatchAvgValue
kp_text_machine: 2
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation by TOP-10 (by the value of the factor) extensions. Type of aggregation for extensions: an abstract by square of expansion weight, multiplied by the value of the factor; normalized for the total weight of extensions. It is considered according to the heading of the document. The average weight of the anntations among those in which the request was an accurate tuning.
|
KinopoiskSuggestAllMaxWFTitleExactQueryMatchAvgValue
kp_text_machine: 3
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. Type of aggregation for extensions: the greatest balanced value of the factor; It is considered according to the heading of the document. The average weight of the anntations among those in which the request was an accurate tuning.
|
KinopoiskSuggestAllMaxFTitleAttenV1Bm15K001
kp_text_machine: 4
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. Type of aggregation for extensions: the greatest value of the factor; It is considered according to the heading of the document. The weight of the hit is multiplied by 1/ (1 + the position of the word in the sentence) an algorithm for aggregation of the scales of words: BM15. Normalization coefficient 0.01.
|
KinopoiskSuggestAllMaxFTitleWordCoverageExact
kp_text_machine: 5
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. Type of aggregation for extensions: the greatest value of the factor; It is considered according to the heading of the document. The degree of covering the words of the request in the exact form.
|
KinopoiskSuggestTopMinWFTitleWordCoverageForm
kp_text_machine: 6
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation by TOP-10 (by the value of the factor) extensions. Type of aggregation for extensions: the smallest balanced value of the factor; It is considered according to the heading of the document. The degree of coating of the words of the request is accurate to the form (without synonyms).
|
KinopoiskSuggestAllMaxWFSumWTitleExactQueryMatchAvgValue
kp_text_machine: 7
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. Type of aggregation for extensions: the greatest balanced value of the factor; normalized for the total weight of extensions. It is considered according to the heading of the document. The average weight of the anntations among those in which the request was an accurate tuning.
|
KinopoiskSuggestAllSumW2FSumWTitleExactQueryMatchAvgValue
kp_text_machine: 8
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. Type of aggregation for extensions: an abstract by square of expansion weight, multiplied by the value of the factor; normalized for the total weight of extensions. It is considered according to the heading of the document. The average weight of the anntations among those in which the request was an accurate tuning.
|
KinopoiskSuggestAllMaxWFMaxWTitleCosineMatchMaxPrediction
kp_text_machine: 9
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. Type of aggregation for extensions: the greatest balanced value of the factor; It is normalized for the maximum weight of expansion. It is considered according to the heading of the document. Algorithm Cosinematchmaxpredical.
|
KinopoiskSuggestTopMinWFSumWTitleExactQueryMatchAvgValue
kp_text_machine: 10
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation by TOP-10 (by the value of the factor) extensions. Type of aggregation for extensions: the smallest balanced value of the factor; normalized for the total weight of extensions. It is considered according to the heading of the document. The average weight of the anntations among those in which the request was an accurate tuning.
|
KinopoiskSuggestAllTotalW
kp_text_machine: 11
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. Transferred the total weight of the extensions.
|
KinopoiskSuggestAllAvgW
kp_text_machine: 12
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. The average weight of extensions.
|
KinopoiskSuggestAllMinW
kp_text_machine: 13
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. The minimum expansion weight.
|
KinopoiskSuggestAllNumX
kp_text_machine: 14
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. Transferred number of extensions according to the X / (X + 10) algorithm.
|
KinopoiskSuggestTopNumX
kp_text_machine: 15
Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation by TOP-10 (by the value of the factor) extensions. Transferred number of extensions according to the X / (X + 10) algorithm.
|
InverseUserQueryTopicCountRt
personalization: 54
Inverted number of queries with the same topic by realtime user_profiles
|
InverseUserQueryClickedTopicCountRt
personalization: 56
Inverted number of clicked queries with the same topic by realtime user_profiles
|
QIsSameAsPrevQRealtime
personalization: 74
Normalized query equals to previous one in session by realtime user_actions
|
UserQhashHostCctrLong
personalization: 130
CCTR(clicks[query-host], shows[query-host]) by long user_profiles
|
UserQhashHostCctrRt
personalization: 132
CCTR(clicks[query-host], shows[query-host]) by rt user_profiles
|
UserQhashHostClicksRt
personalization: 135
Sat(clicks[query-host]) by rt user_profiles
|
UserQhashHostCctr2Long
personalization: 174
CCTR2(clicks[query-host], shows[query-host]) by long user_profiles
|
UserQhashHostCctr2Rt
personalization: 176
CCTR2(clicks[query-host], shows[query-host]) by rt user_profiles
|
UserHostTopicShowsFractionRt
personalization: 182
HostTopicShows to HostShows fraction by realtime user_profiles
|
UserHostTopicClicksFractionRt
personalization: 184
HostTopicClicks to HostClicks fraction by realtime user_profiles
|
UserHostTopicCtrRt
personalization: 186
HostTopicClicks to HostTopicShows fraction by realtime user_profiles
|
UserQhashHostFinalClicksLong
personalization: 188
Saturated final clicks for query-host pair by long user_profiles
|
UserQhashHostFinalClicksRt
personalization: 189
Saturated final clicks for query-host pair by realtime user_profiles
|
UserQhashHostCtrLong
personalization: 191
CTR(clicks[query-host], shows[query-host]) by long user_profiles
|
UserQhashHostCtrRt
personalization: 192
CTR(clicks[query-host], shows[query-host]) by realtime user_profiles
|
UserQurlCtrLong
personalization: 216
CTR(clicks[query-url], shows[query-url]) by long user_profiles
|
UserQurlCtrRt
personalization: 217
CTR(clicks[query-url], shows[query-url]) by realtime user_profiles
|
UserQurlCctrRt
personalization: 218
CCTR(clicks[query-url], shows[query-url]) by realtime user_profiles
|
UserQurlCctr2Long
personalization: 220
CCTR2(clicks[query-url], shows[query-url]) by long user_profiles
|
UserQurlCctr2Rt
personalization: 221
CCTR2(clicks[query-url], shows[query-url]) by realtime user_profiles
|
UserQurlFinalClicksLong
personalization: 223
Saturated final clicks for query-url by long user_profiles
|
UserQurlFinalClicksRt
personalization: 224
Saturated final clicks for query-url by realtime user_profiles
|
UserQurlClicksLong
personalization: 226
Saturated clicks for query-url by long user_profiles
|
UserQurlClicksRt
personalization: 227
Saturated clicks for query-url by realtime user_profiles
|
TimeBetweenPrevAndCurQRealtime
personalization: 257
Normalized time between previous and current requests by realtime user_actions
|
SessionLengthRealtime
personalization: 258
Normalized time between first and current requests by realtime user_actions
|
DoppUrlCCTRLog5Decay30
rapid_clicks_l2: 0
L2 version DOPPURLCTRLOG5DECAY30 factor
|
DoppUrlOsCCTRLog5Decay30
rapid_clicks_l2: 1
L2 factor similar to Doppurlosctrlog5Decay30 only with fixed OS on iOS
|
DoppUrlThreshold30Decay3Prior1
rapid_clicks: 0
|
DoppUrlLossesFRCThreshold30Decay3
rapid_clicks: 1
|
DoppUrlThreshold30Decay30Prior0
rapid_clicks: 2
|
DoppUrlThreshold30Decay30Prior05
rapid_clicks: 3
|
DoppUrlWinsFRCThreshold30Decay30
rapid_clicks: 4
|
DoppUrlThreshold120Decay3Prior0
rapid_clicks: 5
|
DoppUrlThreshold120Decay30Prior0
rapid_clicks: 6
|
DoppUrlThreshold120Decay30Prior05
rapid_clicks: 7
|
DoppUrlThreshold5Decay30Prior0
rapid_clicks: 8
|
DoppUrlThreshold5Decay30Prior05
rapid_clicks: 9
|
DoppUrlLossesFRCThreshold5Decay30
rapid_clicks: 10
|
DoppUrlLog5Decay30Prior05
rapid_clicks: 11
|
DoppUrlLog5Decay30Prior1
rapid_clicks: 12
|
DoppUrlWinsFRCLog5Decay30
rapid_clicks: 13
|
DoppUrlLossesFRCLog5Decay30
rapid_clicks: 14
|
DoppUrlLog300Decay30Prior05
rapid_clicks: 15
|
DoppUrlClickwiseLog60Decay30Prior0
rapid_clicks: 16
|
DoppHostThreshold30Decay3Prior05
rapid_clicks: 17
|
DoppHostThreshold30Decay3Prior1
rapid_clicks: 18
|
DoppHostThreshold30Decay30Prior05
rapid_clicks: 19
|
DoppHostWinsFRCThreshold30Decay30
rapid_clicks: 20
|
DoppHostLossesFRCThreshold30Decay30
rapid_clicks: 21
|
DoppHostThreshold120Decay3Prior05
rapid_clicks: 22
|
DoppHostThreshold120Decay30Prior05
rapid_clicks: 23
|
DoppHostThreshold5Decay30Prior05
rapid_clicks: 24
|
DoppHostLossesFRCThreshold5Decay30
rapid_clicks: 25
|
DoppHostLog5Decay30Prior05
rapid_clicks: 26
|
DoppHostWinsFRCLog5Decay30
rapid_clicks: 27
|
DoppHostLossesFRCLog5Decay30
rapid_clicks: 28
|
DoppHostLog300Decay30Prior05
rapid_clicks: 29
|
DoppHostLossesFRCLog300Decay30
rapid_clicks: 30
|
DoppHostClickwiseLog60Decay30Prior0
rapid_clicks: 31
|
DoppHostClickwiseLog60Decay30Prior05
rapid_clicks: 32
|
DoppUrlRegionThreshold30Decay3Prior0
rapid_clicks: 33
|
DoppUrlRegionThreshold30Decay30Prior0
rapid_clicks: 34
|
DoppUrlRegionThreshold30Decay30Prior05
rapid_clicks: 35
|
DoppUrlRegionWinsFRCThreshold30Decay30
rapid_clicks: 36
|
DoppUrlRegionWinsFRCThreshold120Decay3
rapid_clicks: 37
|
DoppUrlRegionThreshold120Decay30Prior0
rapid_clicks: 38
|
DoppUrlRegionThreshold120Decay30Prior05
rapid_clicks: 39
|
DoppUrlRegionThreshold120Decay30Prior1
rapid_clicks: 40
|
DoppUrlRegionWinsFRCThreshold120Decay30
rapid_clicks: 41
|
DoppUrlRegionThreshold5Decay30Prior05
rapid_clicks: 42
|
DoppUrlRegionLog5Decay30Prior0
rapid_clicks: 43
|
DoppUrlRegionLog5Decay30Prior05
rapid_clicks: 44
|
DoppUrlRegionWinsFRCLog5Decay30
rapid_clicks: 45
|
DoppUrlRegionLog300Decay30Prior1
rapid_clicks: 46
|
DoppUrlRegionWinsFRCLog300Decay30
rapid_clicks: 47
|
DoppHostRegionThreshold30Decay3Prior05
rapid_clicks: 48
|
DoppHostRegionLossesFRCThreshold30Decay3
rapid_clicks: 49
|
DoppHostRegionThreshold30Decay30Prior05
rapid_clicks: 50
|
DoppHostRegionWinsFRCThreshold120Decay30
rapid_clicks: 51
|
DoppHostRegionThreshold5Decay30Prior05
rapid_clicks: 52
|
DoppHostRegionLossesFRCThreshold5Decay30
rapid_clicks: 53
|
DoppHostRegionWinsFRCLog5Decay30
rapid_clicks: 54
|
DoppHostRegionLossesFRCLog5Decay30
rapid_clicks: 55
|
DoppHostRegionClickwiseLog60Decay30Prior05
rapid_clicks: 56
|
DoppHostRegionLossesFRCClickwiseLog60Decay30
rapid_clicks: 57
|
DoppUrlOsLossesFRCThreshold30Decay3
rapid_clicks: 58
|
DoppUrlOsThreshold30Decay30Prior0
rapid_clicks: 59
|
DoppUrlOsThreshold30Decay30Prior1
rapid_clicks: 60
|
DoppUrlOsWinsFRCThreshold30Decay30
rapid_clicks: 61
|
DoppUrlOsThreshold120Decay30Prior0
rapid_clicks: 62
|
DoppUrlOsLossesFRCThreshold120Decay30
rapid_clicks: 63
|
DoppUrlOsThreshold5Decay30Prior1
rapid_clicks: 64
|
DoppUrlOsLossesFRCThreshold5Decay30
rapid_clicks: 65
|
DoppUrlOsLog5Decay30Prior05
rapid_clicks: 66
|
DoppUrlOsLog5Decay30Prior1
rapid_clicks: 67
|
DoppUrlOsLossesFRCLog5Decay30
rapid_clicks: 68
|
DoppUrlOsClickwiseLog60Decay30Prior0
rapid_clicks: 69
|
DoppHostOsWinsFRCThreshold30Decay3
rapid_clicks: 70
|
DoppHostOsThreshold30Decay30Prior05
rapid_clicks: 71
|
DoppHostOsThreshold120Decay3Prior05
rapid_clicks: 72
|
DoppHostOsLossesFRCThreshold120Decay3
rapid_clicks: 73
|
DoppHostOsThreshold5Decay30Prior05
rapid_clicks: 74
|
DoppHostOsLog5Decay30Prior05
rapid_clicks: 75
|
DoppHostOsLog300Decay30Prior05
rapid_clicks: 76
|
DoppHostOsClickwiseLog60Decay30Prior05
rapid_clicks: 77
|
DoppWinsThreshold30Decay30XWinsThreshold5Decay30
rapid_clicks: 120
|
DoppUrlWinsThreshold120Decay30XWinsThreshold5Decay30
rapid_clicks: 121
|
DoppUrlLossesThreshold120Decay30XLossesThreshold5Decay30
rapid_clicks: 122
|
DoppUrlLossesThreshold30Decay30XLossesThreshold5Decay30
rapid_clicks: 123
|
DoppUrlLossesLog300Decay30XLossesLog5Decay30
rapid_clicks: 124
|
DoppUrlRegionLossesThreshold30Decay30XLossesThreshold5Decay30
rapid_clicks: 125
|
DoppUrlOsWinsThreshold120Decay30XWinsThreshold5Decay30
rapid_clicks: 126
|
DoppUrlOsLossesThreshold120Decay30XLossesThreshold5Decay30
rapid_clicks: 127
|
DoppUrlOsLossesThreshold30Decay30XLossesThreshold5Decay30
rapid_clicks: 128
|
DoppCCTROdd07Decay30
rapid_clicks: 138
|
DoppUrlCCTRLog5Decay30
rapid_clicks: 140
|
DoppUrlCTRThreshold120Decay1
rapid_clicks: 141
|
DoppUrlCCTRThreshold120Decay30
rapid_clicks: 144
|
DoppUrlCCTRThreshold300Decay30
rapid_clicks: 148
|
DoppClicksOdd01Decay30XClicksThreshold1Decay30
rapid_clicks: 149
|
DoppUrlCCTRThreshold120Decay1
rapid_clicks: 151
|
DoppClicksOdd08Decay30XClicksThreshold1Decay30
rapid_clicks: 155
|
DoppCCTRThreshold120Decay1
rapid_clicks: 157
|
DoppUrlCTRThreshold300Decay30
rapid_clicks: 159
|
DoppUrlClicksOdd03Decay30XClicksThreshold1Decay30
rapid_clicks: 160
|
DoppClicksOdd02Decay30XClicksThreshold1Decay30
rapid_clicks: 168
|
DoppCCTRLog5Decay30
rapid_clicks: 172
|
DoppUrlCCTRDwelltime600Decay1
rapid_clicks: 173
|
DoppUrlCCTRThreshold1Decay30
rapid_clicks: 174
|
DoppUrlCTRThreshold120Decay30
rapid_clicks: 177
|
DoppUrlCCTRDwelltime600Decay30
rapid_clicks: 178
|
DoppCCTRThreshold120Decay30
rapid_clicks: 183
|
DoppUrlCCTR2Dwelltime600Decay30
rapid_clicks: 189
|
DoppUrlClicksDwelltime600Decay30XClicksThreshold1Decay30
rapid_clicks: 190
|
DoppUrlPCTRThreshold120Decay30
rapid_clicks: 197
|
DoppCCTRThreshold1Decay30
rapid_clicks: 198
|
DoppUrlClicksOdd01Decay30XClicksThreshold1Decay30
rapid_clicks: 201
|
DoppUrlClicksOdd02Decay30XClicksThreshold1Decay30
rapid_clicks: 202
|
DoppUrlCTRPosition0Threshold120Decay30
rapid_clicks: 205
|
DoppUrlCTRPosition0Threshold120Decay3
rapid_clicks: 206
|
DoppUrlCTRPosition0Threshold30Decay30
rapid_clicks: 207
|
DoppUrlCTRPosition0Threshold30Decay3
rapid_clicks: 208
|
DoppUrlRegionCTRPosition0Threshold120Decay30
rapid_clicks: 209
|
DoppUrlRegionCTRPosition0Threshold120Decay3
rapid_clicks: 210
|
DoppUrlRegionCTRPosition0Threshold30Decay30
rapid_clicks: 211
|
DoppUrlRegionCTRPosition0Threshold30Decay3
rapid_clicks: 212
|
DoppHostCTRPosition0Threshold120Decay30
rapid_clicks: 217
|
DoppHostCTRPosition0Threshold120Decay3
rapid_clicks: 218
|
DoppHostCTRPosition0Threshold30Decay30
rapid_clicks: 219
|
DoppHostCTRPosition0Threshold30Decay3
rapid_clicks: 220
|
DoppHostRegionCTRPosition0Threshold120Decay30
rapid_clicks: 221
|
DoppHostRegionCTRPosition0Threshold120Decay3
rapid_clicks: 222
|
DoppHostRegionCTRPosition0Threshold30Decay30
rapid_clicks: 223
|
DoppHostRegionCTRPosition0Threshold30Decay3
rapid_clicks: 224
|
DoppUrlCTRPreceding1Position0Threshold120Decay30
rapid_clicks: 225
|
DoppUrlCTRPreceding1Position0Threshold120Decay3
rapid_clicks: 226
|
DoppUrlCTRPreceding1Position0Threshold30Decay30
rapid_clicks: 227
|
DoppUrlCTRPreceding1Position0Threshold30Decay3
rapid_clicks: 228
|
DoppUrlRegionCTRPreceding1Position0Threshold120Decay30
rapid_clicks: 229
|
DoppUrlRegionCTRPreceding1Position0Threshold120Decay3
rapid_clicks: 230
|
DoppUrlRegionCTRPreceding1Position0Threshold30Decay30
rapid_clicks: 231
|
DoppUrlRegionCTRPreceding1Position0Threshold30Decay3
rapid_clicks: 232
|
DoppHostCTRPreceding1Position0Threshold120Decay30
rapid_clicks: 237
|
DoppHostCTRPreceding1Position0Threshold30Decay30
rapid_clicks: 238
|
DoppHostRegionCTRPreceding1Position0Threshold30Decay30
rapid_clicks: 239
|
DoppUrlCTRPreceding5Position0Threshold120Decay30
rapid_clicks: 240
|
DoppUrlCTRPreceding5Position0Threshold120Decay3
rapid_clicks: 241
|
DoppUrlCTRPreceding5Position0Threshold30Decay30
rapid_clicks: 242
|
DoppUrlCTRPreceding5Position0Threshold30Decay3
rapid_clicks: 243
|
DoppUrlRegionCTRPreceding5Position0Threshold120Decay30
rapid_clicks: 244
|
DoppUrlRegionCTRPreceding5Position0Threshold120Decay3
rapid_clicks: 245
|
DoppUrlRegionCTRPreceding5Position0Threshold30Decay30
rapid_clicks: 246
|
DoppUrlRegionCTRPreceding5Position0Threshold30Decay3
rapid_clicks: 247
|
DoppRegionCTRPreceding5Position0Threshold120Decay30
rapid_clicks: 248
|
DoppRegionCTRPreceding5Position0Threshold30Decay30
rapid_clicks: 249
|
DoppUrlCTRPreceding10Position0Threshold120Decay30
rapid_clicks: 254
|
DoppUrlCTRPreceding10Position0Threshold120Decay3
rapid_clicks: 255
|
DoppUrlCTRPreceding10Position0Threshold30Decay30
rapid_clicks: 256
|
DoppUrlCTRPreceding10Position0Threshold30Decay3
rapid_clicks: 257
|
DoppUrlRegionCTRPreceding10Position0Threshold120Decay30
rapid_clicks: 258
|
DoppUrlRegionCTRPreceding10Position0Threshold120Decay3
rapid_clicks: 259
|
DoppUrlRegionCTRPreceding10Position0Threshold30Decay30
rapid_clicks: 260
|
DoppUrlRegionCTRPreceding10Position0Threshold30Decay3
rapid_clicks: 261
|
DoppRegionCTRPreceding10Position0Threshold120Decay30
rapid_clicks: 262
|
DoppUrlClicksPositionalFRCPosition0Threshold120Decay30
rapid_clicks: 266
|
DoppUrlRegionClicksPositionalFRCPosition0Threshold120Decay30
rapid_clicks: 267
|
QueryLogDtBigramsClusterUrlWinsFRCThreshold30Decay3
rapid_clicks: 268
|
QueryLogDtBigramsClusterUrlWinsFRCThreshold120Decay3
rapid_clicks: 269
|
QueryLogDtBigramsClusterUrlWinsFRCThreshold120Decay30
rapid_clicks: 270
|
QueryLogDtBigramsClusterUrlWinsFRCLog5Decay30
rapid_clicks: 271
|
QueryLogDtBigramsClusterUrlThreshold30Decay30Prior1
rapid_clicks: 272
|
QueryLogDtBigramsClusterUrlThreshold30Decay3Prior0
rapid_clicks: 273
|
QueryLogDtBigramsClusterUrlThreshold30Decay3Prior1
rapid_clicks: 274
|
QueryLogDtBigramsClusterUrlThreshold120Decay30Prior0
rapid_clicks: 275
|
QueryLogDtBigramsClusterUrlThreshold120Decay3Prior0
rapid_clicks: 276
|
QueryLogDtBigramsClusterUrlThreshold120Decay3Prior1
rapid_clicks: 277
|
QueryLogDtBigramsClusterUrlThreshold5Decay30Prior0
rapid_clicks: 278
|
QueryLogDtBigramsClusterUrlThreshold5Decay30Prior1
rapid_clicks: 279
|
QueryLogDtBigramsClusterHostWinsFRCThreshold120Decay3
rapid_clicks: 280
|
QueryLogDtBigramsClusterHostWinsFRCThreshold120Decay30
rapid_clicks: 281
|
QueryLogDtBigramsClusterHostLossesFRCThreshold5Decay30
rapid_clicks: 282
|
QueryLogDtBigramsClusterHostLossesFRCThreshold30Decay3
rapid_clicks: 283
|
QueryLogDtBigramsClusterHostLossesFRCThreshold120Decay3
rapid_clicks: 284
|
QueryLogDtBigramsClusterHostThreshold30Decay30Prior0
rapid_clicks: 285
|
QueryLogDtBigramsClusterHostThreshold30Decay30Prior1
rapid_clicks: 286
|
QueryLogDtBigramsClusterHostThreshold120Decay3Prior1
rapid_clicks: 287
|
QueryLogDtBigramsClusterHostThreshold5Decay30Prior0
rapid_clicks: 288
|
DoppCCTR2Log5Decay30
rapid_clicks: 299
|
DoppUrlClicksThreshold120Decay30XClicksThreshold1Decay30
rapid_clicks: 300
|
DoppUrlClicksOdd06Decay30XClicksThreshold1Decay30
rapid_clicks: 301
|
DoppUrlClicksOdd09Decay30XClicksThreshold1Decay30
rapid_clicks: 302
|
DoppHostCCTRThreshold1Decay30
rapid_clicks: 303
|
DoppHostCCTRDwelltime600Decay30
rapid_clicks: 304
|
DoppRegionLargeCCTRLog5Decay30
rapid_clicks: 305
|
DoppRegionLargeCCTRThreshold120Decay1
rapid_clicks: 306
|
DoppUrlRegionLargeCCTRThreshold120Decay30
rapid_clicks: 307
|
DoppUrlRegionLargeCCTRLog5Decay30
rapid_clicks: 308
|
DoppUrlRegionLargeCCTRDwelltime600Decay30
rapid_clicks: 309
|
DoppUrlRegionLargeCCTR2Dwelltime600Decay30
rapid_clicks: 310
|
DoppUrlRegionLargeClicksDwelltime600Decay30XClicksThreshold1Decay30
rapid_clicks: 311
|
DoppUrlRegionLargeClicksOdd01Decay30XClicksThreshold1Decay30
rapid_clicks: 312
|
DoppUrlRegionLargeClicksOdd02Decay30XClicksThreshold1Decay30
rapid_clicks: 313
|
DoppUrlRegionLargeCCTRThreshold120Decay1
rapid_clicks: 314
|
DoppUrlRegionLargeCCTRDwelltime600Decay1
rapid_clicks: 315
|
DoppHostRegionLargeClicksOdd01Decay30XClicksThreshold1Decay30
rapid_clicks: 316
|
DoppHostRegionLargeCTROdd02Decay30
rapid_clicks: 317
|
DoppHostRegionLargeClicksOdd02Decay30XClicksThreshold1Decay30
rapid_clicks: 318
|
DoppHostRegionLargeCCTRDwelltime600Decay1
rapid_clicks: 319
|
DoppOsCCTRThreshold1Decay30
rapid_clicks: 320
|
DoppOsCCTRThreshold120Decay30
rapid_clicks: 321
|
DoppOsCCTRLog5Decay30
rapid_clicks: 322
|
DoppOsClicksOdd02Decay30XClicksThreshold1Decay30
rapid_clicks: 323
|
DoppOsCCTRThreshold120Decay1
rapid_clicks: 324
|
DoppUrlOsCCTRThreshold1Decay30
rapid_clicks: 325
|
DoppUrlOsCTRThreshold120Decay30
rapid_clicks: 326
|
DoppUrlOsCCTRThreshold120Decay30
rapid_clicks: 327
|
DoppUrlOsClicksThreshold120Decay30XClicksThreshold1Decay30
rapid_clicks: 328
|
DoppUrlOsCTRThreshold300Decay30
rapid_clicks: 329
|
DoppUrlOsCCTRThreshold300Decay30
rapid_clicks: 330
|
DoppUrlOsCCTRLog5Decay30
rapid_clicks: 331
|
DoppUrlOsCCTRDwelltime600Decay30
rapid_clicks: 332
|
DoppUrlOsCCTR2Dwelltime600Decay30
rapid_clicks: 333
|
DoppUrlOsClicksDwelltime600Decay30XClicksThreshold1Decay30
rapid_clicks: 334
|
DoppUrlOsClicksOdd01Decay30XClicksThreshold1Decay30
rapid_clicks: 335
|
DoppUrlOsClicksOdd02Decay30XClicksThreshold1Decay30
rapid_clicks: 336
|
DoppUrlOsCCTROdd09Decay30
rapid_clicks: 337
|
DoppUrlOsCCTRThreshold120Decay1
rapid_clicks: 338
|
DoppUrlOsPCTRThreshold120Decay1
rapid_clicks: 339
|
DoppUrlOsCCTRDwelltime600Decay1
rapid_clicks: 340
|
DoppHostOsCCTRLog5Decay30
rapid_clicks: 341
|
DoppHostOsClicksOdd01Decay30XClicksThreshold1Decay30
rapid_clicks: 342
|
DoppHostOsClicksOdd02Decay30XClicksThreshold1Decay30
rapid_clicks: 343
|
DoppHostOsCCTRThreshold120Decay1
rapid_clicks: 344
|
DoppHostOsCCTRDwelltime600Decay1
rapid_clicks: 345
|
MatrixNet
video_production: 0
All factors on L3 are applied by the matrixet formula.
|
MatrixNetL2
video_production: 1
All factors on L2 are applied by the matrixet formula.
|
WebTRp1
video_production: 2
Stript priority for TR is a text priority - there are all the words of the request somewhere in the document (while they pass contextual restrictions on the request, for example, both words DB in one sentence).
|
WebTRtitle
video_production: 3
The presence of an accurate phrase (request text) in the header (more precisely, in the first sentence of the document).
|
QueryWordsWeight
video_production: 4
The sum of the scales of the words of the request. Normalization: IDFSUM * 0.1 / (IDSUM * 0.1 + 1)
|
QueryWordCount
video_production: 6
The number of words in the request. Normalization: WordCount / 10.0
|
WebSoftAndOk
video_production: 7
The document passed Softand on the restrictions of the syntactic sorcerer. Only for documents with textual relevance. For monosyllabic requests, always 1.
|
WebPassageLegacyTR
video_production: 8
Text relevance (maxfreq is the frequency of the most frequent word that makes sense of the length of the document).
|
WebIsForeignQuery
video_production: 9
The request is not in Russian.
|
WebTRDocQuorum
video_production: 10
The weight of the words of the request that is in the text.
|
WebVideoQuery
video_production: 11
The request contains video markers: watch, film, series, etc.
|
HostInRequest
video_production: 12
The presence of a host in a request
|
WebQClassDownload
video_production: 14
Request from class: download, watch online, play, photo, listen, etc.
|
PornoQuery
video_production: 16
Porn request.
|
BestPhraseShare
video_production: 17
The ratio of the number of words of the maximum general substitution of the text and the request for the words of the request.
|
BestPhraseShareSyn
video_production: 18
The ratio of the number of words of the maximum general substitution of the text and the request for the words of the request with thesaurus extensions.
|
BestWordsShare
video_production: 19
The largest share of the words of the request found in the leagues of the document.
|
BestWordsShareSyn
video_production: 20
The largest share of the words of the request found in the leagues of the document. Takes into account thesaurus extensions.
|
BestWordsWeightShare
video_production: 21
The largest share of the weight of the words of the request found in the leagues of the document.
|
BestWordsWeightShareSyn
video_production: 22
The largest share of the weight of the words of the request found in the leagues of the document. Takes into account thesaurus extensions.
|
AnnCorrClicksBocmDouble
video_production: 24
BocmDouble with a weight of 0.001 on request from Corrected Clicks to Indexann.
|
AnnCorrClicksFrcValueMax
video_production: 27
Valuemax for FRC on request from Corrected Clicks to Indexann.
|
AnnCorrClicksFrcValueAvg
video_production: 28
Valueavg by FRC on request from Corrected Clicks to Indexann.
|
AnnCorrClicksFrcBm15Atten
video_production: 30
BM15atten for FRC with a weight of 0.001 on request from Corrected Clicks to Indexann.
|
AnnCorrClicksUFrcBocmWeightedW1
video_production: 31
BOCMWEIGHTEDW1 UFRC with a weight of 0.01 by request from Corrected Clicks to Indexann.
|
BestLR
video_production: 36
Link rank the best link.
|
BestPhraseWeight
video_production: 37
The phrasal rank of the best link.
|
RusQuery
video_production: 38
Request in Russian.
|
EngQuery
video_production: 39
Request in English.
|
AnnCorrClicksUFrcBocmDouble
video_production: 40
BOCMDOUble by UFRC with a weight of 0.1 on request from Corrected Clicks to Indexann.
|
IsSameHost
video_production: 45
Does the host coincide from the request with the host of the results of issuing
|
IsFunQuery
video_production: 50
The request has markers from the joke category (jokes, gum, funny).
|
IsFilmQuery
video_production: 51
The probable duration of the request is not less than 72 minutes, the request is not a serial and the intent Waresfilm corrects Setupids.
|
IsSerialQuery
video_production: 52
The request has the name of the series and a serial marker (series, series, all seasons).
|
QueryUrlPlayerViewDepth
video_production: 59
Average view depth
|
IsMusicLenQuery
video_production: 60
Some kind of crap, not a factor
|
BestTitleLR
video_production: 65
Link rank the best heading.
|
BestTitlePhraseWeight
video_production: 66
The phrasal rank of the best header.
|
BestDescriptionLR
video_production: 67
Link rank the best description.
|
BestDescriptionPhraseWeight
video_production: 68
The phrasal rank of the best description.
|
BestLRSyn
video_production: 69
Link rank the best link. Takes into account thesaurus extensions.
|
BestPhraseWeightSyn
video_production: 70
The phrasal rank of the best link. Takes into account thesaurus extensions.
|
BestTitleLRSyn
video_production: 71
Link rank the best heading. Takes into account thesaurus extensions.
|
BestTitlePhraseWeightSyn
video_production: 72
The phrasal rank of the best header. Takes into account thesaurus extensions.
|
BestDescriptionLRSyn
video_production: 73
Link rank the best description. Takes into account thesaurus extensions.
|
BestDescriptionPhraseWeightSyn
video_production: 74
The phrasal rank of the best description. Takes into account thesaurus extensions.
|
LinksWithHits
video_production: 76
The number of links with hits. Takes into account thesaurus extensions.
|
UrlPathAndParamsFraction
video_production: 77
Fraction of url's path that can be covered with trigrams from the query
|
UrlDomainSimilarityFixed
video_production: 78
Similar to Urla and request by cosine metric
|
LinksWithHitsShare
video_production: 79
The share of links with hits. Takes into account thesaurus extensions.
|
OntoIdMatched
video_production: 81
The coincidence of the ONTOID document and the object specified in the request, and a sufficiently duration of the roller for this object.
|
OntoIdMatchedWide
video_production: 82
The permissible coefficient of the Bust of the document for the coincidence of the Ontoid document and the request of the type HUM, Food, Auto, Music, etc.
|
ModelsHubBertPrediction
video_production: 83
Prediction of Berta, trained in video relevance
|
SbSMinus
video_production: 84
Last position where the document was the worst in a pair.
|
QueryUrlPlayerShortViews
video_production: 89
Share of short views(<10% and 30s)
|
QueryUrlPlayerLongViews
video_production: 90
Share of long views(>90% or 5min)
|
IsRecentStream
video_production: 93
Is recent stream
|
IsKidsMultseriesQuery
video_production: 94
Request about the children's (0+) Mulsery.
|
OntoIdMatchedLite
video_production: 95
The coincidence of the main ONTOID document and the film-serial object of the request.
|
FreshIntent
video_production: 98
Predict of the Freshness Formula
|
DssmL2WebReformulationsDt
video_production: 99
Logdwelltime by the VEB model DSSM, trained in reformulations. It is also used in the ranking of ether.
|
MarkerSynXFrc
video_production: 100
FRC, counted for Marker-Syn normalization and extended using xFactor collaborative filtration
|
DssmL2VideoReformulationsWin
video_production: 103
Win (click longer than 60 seconds) on the DSSM video model trained in reformulations.
|
RandomFactor
video_production: 108
Random bust of relevance for rotation
|
QueryCtr
video_production: 115
CTR on request.
|
QueryUrlHasViews
video_production: 116
There are shows for a couple of query.
|
FastRank
video_production: 117
The value of the polynomial formula of the thast.
|
Bm25
video_production: 119
BM25 throughout the text, with standardization for the length of the document and the number of braces.
|
BestLinkBocm
video_production: 120
The maximum BOCM (compliance of the positions of words in the request and sentences of the document, proximity) in the text of the Links.
|
LanguageCompliance
video_production: 124
Request language corresponds to the language of the document
|
LanguageGoodForFace
video_production: 125
The language of the document corresponds to the domain (for example, for COM.TR - this is Tur, Eng, Ger, FRN, Aze, Ara)
|
QfufAllMaxFBodyWordCoverageExact
video_production: 126
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest value of the factor. It is considered according to the contents of the document. The degree of covering the words of the request in the exact form.
|
QfufTopMinWFSumWBodyBclmMixPlainKE5
video_production: 127
Linguistic boosting factor. Type of extensions: QFUF. Aggregation by TOP-10 (by the value of the factor) extensions. Nimenest, balanced meaning of the factor. Normalized for the total weight of extensions. It is considered according to the contents of the document. The algorithm for aggregation of words weights is BCLMMIXPLAIN: a linear mixture of annotation BCLM weights and balanced Positionless weights of the word, then the former meters are aggregated through BM15. Normalization coefficient 10^(-5).
|
WebBertDssmRelevanceMse
video_production: 128
The proximity of the query and the DSSM model of the DSSM model, trained in relevance by distillation of the BERT model.
|
SerialNameMatched
video_production: 129
Coincidence of the name of the serial object in the request and document.
|
SerialEpisodeMatched
video_production: 132
The coincidence of a series of a serial object in a request and a document.
|
SerialSeasonMatched
video_production: 133
The coincidence of the season of the serial object in the request and document.
|
QueryWithTodayMarker
video_production: 135
Request contains a word today
|
WaresSoft
video_production: 137
Question about software.
|
WaresMusic
video_production: 138
Request about music.
|
WaresFilm
video_production: 139
Request about the film, the series, etc.
|
MarkDoppHostWeightCtr
video_production: 140
The clickability of the host documents on request with the normalization for the confidential coefficient. Doppelganger-norming the request and tearing video markers is used.
|
MarkDoppHostLastClicks
video_production: 141
The share of the latest KLTIKS according to the host documents on request. Doppelganger-norming the request and tearing video markers is used.
|
MarkDoppHostFrc
video_production: 142
The ratio of the number of clicks according to the documents of the host on request for all clicks on request. Doppelganger-norming the request and tearing video markers is used.
|
MarkDoppHostPlayerLongViews
video_production: 143
The share of deep views of the host documents on request. Doppelganger-norming the request and tearing video markers is used.
|
WordHostPctrTop3Words
video_production: 144
The clickability of the host documents with normalization for a confidential coefficient for 3 words of the request.
|
WordHostFrcTop3Words
video_production: 145
The ratio of the number of clicks according to the host documents is one of the clicks for 3 words of the request.
|
AnnNHopRelPositionBocmWeighted
video_production: 149
BocmWeighted for the relative position of Url in a chain of transitions with a weight of 0.001 on demands from webpiscus in Indexann
|
Bclm2
video_production: 155
The factor about the proximity of the request and text of the document. It differs from BCLM in that the weights of all words are considered the same. It is also used in the ranking of ether.
|
QueryHasHD
video_production: 156
The request contains markers about the quality of the video - 'good quality', 'hd', '720', etc.
|
DBMNumbers
video_production: 157
DBM (BM25 with machine-like words) exclusively in numbers.
|
QueryDocUniqueWordNum
video_production: 160
The normalized number of unique words in the titles of documents raised on request, taking into account Marker-DOPP normalization.
|
AnyFilmtypeMatchedByEF
video_production: 162
Whether the object of request and document coincided, objects are considered any film type.
|
IsFilmQueryByEF
video_production: 170
Request for the film according to the Entityfinder Rules in the Byzard.
|
WaresSite
video_production: 171
Question about software.
|
WaresText
video_production: 172
Request about the text.
|
VideoPlusQueryV4
video_production: 173
The proximity of the request and video tack of the document according to the CV model: Target is a deep click, the step between the frames is 2.5 seconds, a maximum of 310 seconds, the picture carcass of version 8 is applied to the frame, then LSTM is used
|
DssmLbQfufVideoReformulations
video_production: 176
Scalar work of the vector-enlarged amount of the Embling Lingvo-Boosting extensions of the QFUF request by the Video-Reformulations model.
|
XfDtShowQuantile01
video_production: 177
Quantile 0.1 For the request factor according to the XFDTSHOW linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
|
BocmFull
video_production: 178
Simple BOCM gluing Links.
|
FirstHitSentenceBocmFull
video_production: 179
BOCM for gluing Links, calculated only on the first sentences with hits and all forms of entering are considered equivalent.
|
BestFirstHitSentenceTocm
video_production: 180
The best BOCM among all links, such as Title (analogue of TOCM), calculated as follows: only sentences with hits are considered and all forms of entry are considered equivalent.
|
IsRussianSearch
video_production: 181
Checking for the domain RU in the request
|
DbmVideoNumbers
video_production: 183
The new DBM only in terms of gluing links (differs from DBMNUMBERS [157] only constants and completely clogs it).
|
DbmBestVideoNumbers
video_production: 184
The best new DBM is only by numbers in lens.
|
DbmBestBigNumbers
video_production: 185
The best new DBM only by numbers, no less than 12, in links.
|
WebFreshPredict
video_production: 187
Web fresh detector predict
|
WebFreshNewsPredict
video_production: 188
Web fresh news detector predict
|
QueryFilmMarkerOrName
video_production: 193
The request has the name of the film or a film marker (cinema, film, melodrama).
|
QuerySerialMarkerOrName
video_production: 194
The request has the name of the series or a serial marker (series, series, all seasons).
|
IsWideFilmRequest
video_production: 195
Is the request a wide film? For example, the 'Best Comedies of 2013' and 'Watch Online Films about Love' are wide film queries.
|
CorrectedMaxClicksPercentDopp
video_production: 196
Corrected FRC, click := approximated (play duration/duration)
|
MarkDoppUrlDiffCtr
video_production: 197
DIFFCTR Document on request with marker-peropelgangan normalization.
|
MarkDoppUrlFrcMean
video_production: 198
The average FRC document on request with the marker-peropelgangan normalization all over the whole of generalizations.
|
MarkDoppUrlWeightCtr
video_production: 199
WeightCTR document on request with marker-domelgangeric normalization.
|
MarkDoppUrlLastClicks
video_production: 200
The share of the latest clicks on the document on request with marker-peropelgangan normalization.
|
IsSerialCrcInQuery
video_production: 201
In the request, a serial name was highlighted.
|
IsSerialExactQuery
video_production: 202
An accurate serial request.
|
WordUrlFrcTop3Words
video_production: 203
Queryurlfrc [144], calculated by three words with the largest weight
|
MarkUrlPCtr30
video_production: 212
PCTR document on request with marker normalization; Data is used in the last 30 days.
|
MarkUrlFrc30
video_production: 213
FRC document on request with marker normalization; Data is used in the last 30 days.
|
NationalLanguage
video_production: 214
The language of the document is equal to the language of the search domain.
|
TitleTrigramsInQuery
video_production: 219
Coating trigrams of Title trigrams. It is also used in the ranking of ether.
|
UrlTrigramsInQuery
video_production: 220
Coating trigrams of a query trigrams of Urla.
|
MatchedTagsRatio
video_production: 221
The share of coincided tags allocated in the hippo, a request in the document.
|
MarkSynUrlWeightCtr
video_production: 222
Weightctr Urla per apparition, normalized by Sinsetetam.
|
LongQuerySyn
video_production: 223
The factor is an analogue of LongQuery (the sum of the IDF words of the request), but with the 'correct' accounting of synonyms. Specifically, a minimum of IDF (i.e. the most frequent) of synonyms and words is selected.
|
VideoIntent
video_production: 224
Average relationship of the frequency video to Webovskaya in all words of the request
|
WaresDevice
video_production: 227
Request about devices.
|
WaresEvent
video_production: 228
Request about events.
|
WaresHum
video_production: 229
Request about people.
|
WaresOrg
video_production: 230
Request about the organization.
|
AnnCorrUFrcAnnotationMatchPrediction
video_production: 231
AnnotationMatchprediction by UFRC on request from CorrectedClicks to Indexann
|
WaresTrans
video_production: 232
Request about transport.
|
AnnNHopRelPositionAnnotationMatchPrediction
video_production: 239
AnnotationMatchprediction for the relative position of Url in a chain of transitions at the request from web-posts in Indexann
|
DssmQueryEmbeddingWebCtrNoMinerPca0
video_production: 242
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
|
DssmQueryEmbeddingWebCtrNoMinerPca1
video_production: 243
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
|
DssmQueryEmbeddingWebCtrNoMinerPca2
video_production: 244
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
|
DssmQueryEmbeddingWebCtrNoMinerPca3
video_production: 245
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
|
DssmQueryEmbeddingWebCtrNoMinerPca4
video_production: 246
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
|
DssmQueryEmbeddingWebCtrNoMinerPca5
video_production: 247
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
|
QfufAllSumW2FSumWTitlePerWordCMMaxPredictionMin
video_production: 248
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The amount by the square of the expansion, multiplied by the value of the factor. Normalized for the total weight of extensions. It is considered according to the heading of the document. PerwordCmmaxMatchMin algorithm: At least according to the maximum of the CMMAXMATCH weight abstracts.
|
DurationMean
video_production: 249
A balanced average duration of all clicks on request
|
DurationStddev
video_production: 250
Concerted dispersion of the duration of all clicks on request
|
DurationDifference
video_production: 251
The absolute value of the difference in the duration of the video and the average duration on request
|
QfufTopSumWFSumWTitleWordCoverageExact
video_production: 253
Linguistic boosting factor. Type of extensions: QFUF. Aggregation by TOP-10 (by the value of the factor) extensions. A suspended sum of the Libra of factors. Normalized for the total weight of extensions. It is considered according to the heading of the document. The degree of covering the words of the request in the exact form.
|
SerialCleverMatched
video_production: 254
Smart processing of coincidences/availability of the name, season and episode at the narrow -serial request
|
YabarWordDepthNodesGradientMin
video_production: 255
The angle in the Depth Nodes space, counted only by words (min for all)
|
AdditionRank
video_production: 256
Cloud additive
|
DssmWwMatchedTitleSum
video_production: 257
The sum of the scales of the found words found in the Title. Weights from DSSM Serpsimilarityhard.
|
DssmWwMatchedTitleNormSum
video_production: 258
The normalized amount of the scales of the found words found in the Title. Weights from DSSM Serpsimilarityhard.
|
ProbableDurationDifference
video_production: 261
The absolute value of the difference in the likely duration of the video and the average duration on request
|
QueryClicksDepth
video_production: 262
'Squads' of the query - how deeply the issuance of the issuance of this request
|
DssmWwUnmatchedTitleMax
video_production: 263
The maximum weight of an unenlightened word in Title. Weights from DSSM Serpsimilarityhard.
|
QueryDomainLCSQueryFraction
video_production: 270
The largest tackling of the request and the domain part of Url, normalized by the length of the request
|
RegWordHostClicksSum
video_production: 278
REGWORDHOSTCLICKSSUM Factor from Web
|
QSubjectUrlDateDiff
video_production: 279
The number of days between the date of the document and the date specified in the request. The difference is not taken into account more than a week. Read more: https://wiki.yandex-team.ru/video/videopoisk/quality/detailedFactorsdescription
|
QfufAllSumFCountBodyAllWcmMatch80AvgValue
video_production: 280
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The sum of the scales of factors. The number of extensions. It is considered according to the contents of the document. The sum of the scales of words, balanced by the weight of the annotation, is normalized for the sum of the scales of words. Only annotations are calculated, on which the sum of words of words is more than 80%.
|
QueryWithFreshMarker
video_production: 304
The request contains a freshness marker
|
VideoPlusQueryV4LbQfuf
video_production: 305
Scalar product of the Lingvo-Boosting vector, QFUF extensions of the Video + Query V4 model,
|
VideoPlusQueryV5
video_production: 306
The proximity of the request and video flow of the document according to the CV model: Target is a deep click, the step between the frames is 2.5 seconds, a maximum of 300 seconds, the picture carcass of version 9 is used to the frame, then LSTM is used
|
VerticalQuery
video_production: 309
Requested Classifier: Request about vertical videos.
|
AnnSPBroClicksBocmDouble
video_production: 310
BocmDouble by clicks with a weight of 0.01 on request from Sample_period Browser Sessions to Indexann
|
AnnQusmAnnotationMatchPrediction
video_production: 318
AnnotationMatchpredical on the factor of Queryurlsemanticsimilarity, widespread through XFACTOR
|
AnnQusmQueryMatchPrediction
video_production: 319
QueryMatchprediction on the factor of Queryurlsemanticsimilarity, distributed via XFactor
|
AnnQusmValueWcmAvg
video_production: 320
Valuewcmavg by Queryurlsemanticsimilarity factor, widespread through XFactor
|
ThumbI2T
video_production: 321
The proximity of the request and the video for the Image2Text V12 model
|
AnnQusmBocmDoubleK5
video_production: 322
BocmDouble with k = 0.01 according to the factor of Queryurlsemanticsimilarity, distributed via XFactor
|
QfufTopSumWFSumWBodyQueryPrefixMatchOriginalWordValue
video_production: 323
Linguistic boosting factor. Type of extensions: QFUF. Aggregation by TOP-10 (by the value of the factor) extensions. A suspended sum of the Libra of factors. Normalized for the total weight of extensions. It is considered according to the contents of the document. The maximum weight of the annotation, the prefix of which contains the words of the request in the same order (with an accuracy to the form).
|
HasMisspell
video_production: 325
There is a typo in the request
|
IsWebNavMxQuery
video_production: 326
Rank 'navigation'
|
IsHum
video_production: 327
It launches on the basic search under the name ISHUM the maximum weight of the enclosed object of the Hum or Hum1 category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ishum more)))))
|
IsPicture
video_production: 328
It launches on the basic search under the name Ispicture the maximum weight of the Picture or Picture1 category of the category of the category of the category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ispicture))))))))))))))))))
|
IsGeo
video_production: 329
It launches on the basic search under the name ISGEO the maximum weight of the meters of the gelator in the request. A geo-object is understood as an object of the category GEO, Geo1, Geoaddr, Geoaddr1, Landmark, Landmark1 (see ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects kaovsky allocation))))))))))))))))))))))))))))))). wiki.yandex-team.ru/arsengadzhikurbanov/wares Read more))
|
WebExpectedFound
video_production: 330
Expected number of found on request
|
DiversityCategNeedMap
video_production: 331
0 or 1, depending on the presence in the request of the clearly expressed intent Need_map from the variety
|
DiversityCategDownload
video_production: 332
0 or 1 - whether the request is matured by the tickt
|
AnnBclmAnnotationMatchPrediction
video_production: 336
AnnotationMatchprediction by the BCLM factor from Randomlog, distributed through XFACTOR
|
AnnBclmBclmBocmWeightedMaxK1
video_production: 337
Bocmweightedmaxk1 on the factor of BCLM from Randomlog, distributed via XFACTOR
|
AnnBclmBm15V4W1K3
video_production: 338
BM15V4W1K3 according to the factor of BCLM from Randomlog, distributed via XFACTOR
|
AnnBclmBocmWeightedK7
video_production: 339
BocmWeightedk7 by the Randomlog factor distributed via XFactor
|
QClassPornoVw
video_production: 363
Porn query classification result from Wizard (iad_vw flag, based on Vowpal Wabbit)
|
LanguageGoodForVideotopFace
video_production: 365
The language of the document strictly corresponds to the domain (fine English)
|
MarkerDoppWizardRCtr
video_production: 366
CTR Video-Roader, taking into account real shows
|
NarrowVideoQuery
video_production: 367
The value of the classifier of narrow video checks
|
WideVideoQuery
video_production: 368
The value of the classifier of wide video reviews
|
UltraWideVideoQuery
video_production: 369
The value of the classifier of ultrashik video reviews
|
MarkUrlShowsNormal
video_production: 370
A linearly normalized number of Ural shows on request with marker normalization.
|
VideoPlusQueryV3
video_production: 372
The proximity of the request and video flow of the document according to the CV model: carcass V7 for each of 60 frames with a step of 5 seconds, on top of them LSTM, target - deep viewing.
|
MetaWebTRDocQuorum
video_production: 374
The average value of the webtrdocquorum factor is average.
|
MetaAnnCorrClicksUFrcBocmWeightedW1
video_production: 375
The average value of the AnncorrClicksuFrcMweightedW1 AnncorrclicksuFrclicksufris.
|
MetaDuration
video_production: 376
The average value of the Duration factor is average.
|
MetaBestTitleLR
video_production: 377
The average value of the Besttitlelr factor is average.
|
MetaBestTitlePhraseWeight
video_production: 378
The average value of the Besttitlephraseweight factor is average.
|
MetaBestLRSyn
video_production: 379
The average value of the Bestlrsyn factor is average.
|
MetaLinks
video_production: 380
The average value of the LINKS factor is average.
|
MetaLinksWithHitsShare
video_production: 381
The average value of the Linkswithhitsshare factor is average.
|
MetaShows
video_production: 382
The average value of the show factor is average.
|
MetaBestLinkBocm
video_production: 383
The average value of the BestlinkBocm factor is average.
|
MetaHostDiffCtr
video_production: 384
The average value of the HostdIFFCTR factor is average.
|
QfufAllSumFCountVideoCorrectedClicksFrcPerWordCMMaxMatchMin
video_production: 385
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. Type of aggregation for extensions: the sum of the weights of factors; It is normalized for the number of extensions. FRC on request from Corrected Clicks to Indexann. PerwordCmmaxMatchMin algorithm: The minimum according to CMMMAXMATCH weight.
|
QfufAllSumWFSumWVideoCorrectedClicksFrcExactQueryMatchAvgValue
video_production: 386
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. Type of aggregation for extensions: suspended amount of factors weights; normalized for the total weight of extensions. FRC on request from Corrected Clicks to Indexann. The average weight of the anntations among those in which the request was an accurate tuning.
|
MetaBocmFull
video_production: 387
The average value of the Bocmfull factor is average.
|
MetaBestFirstHitSentenceTocm
video_production: 388
The average value of the Bestfirsthitsentencetocm factor is average.
|
MetaDocAgeInDays
video_production: 389
The average value of the Docageindays factor is average.
|
MetaShowsCountHostMeanReg
video_production: 390
The average value of the showcounthostmeanreg factor is average.
|
DssmL3VideoBertVerticalsDistill
video_production: 391
Prediction of relevance using DSSM, trained to predict Bert for verticals
|
MetaDurationDifference
video_production: 392
The average value of the DurationDifference factor is average.
|
MetaAdditionRank
video_production: 393
The average value of the Additionrank factor is average.
|
MetaContentVideoStatic0to4AvgSpeed
video_production: 394
The average value of the ContentVideostic0to4AVGSPEED factor is average.
|
MetaHostSerialDurationDiversity
video_production: 395
The average value of the HostserialDurationDive factor is average.
|
MetaAuthorShowsNormal
video_production: 396
The average value of the Authorshodsnormal factor is average.
|
MetaAuthorLongDwellTime
video_production: 397
The average value of the Authorlongdwelltime factor is average.
|
MetaContentVideoSpeed
video_production: 398
The average value of the ContentVideoSpeed factor is average.
|
MetaContentVideoAbsSpeed
video_production: 399
The average value of the ContentVideoAbssSpeed factor is average.
|
MetaAnnBclmBclmBocmWeightedMaxK1
video_production: 400
The average value of the AnnbClMbClmbocmweightedMaxk1 factor is average.
|
MetaAnnBclmBm15V4W1K3
video_production: 401
The average value of the AnnbClmbM15V4W1K3 factor is average.
|
MetaNumUrlsPerGroup
video_production: 402
The number of urls in the group for request in PRS, normalized for the number of Urlov for this request in PRS.
|
PornoShowVideoQuery
video_production: 403
Porn request from manual list
|
AnnMaxClicksPercentAnnotationMatchPrediction
video_production: 407
AnnotationMatchprediction on Indexann Strame Vuserdata2 MaxClickSPERCENT FACTOR
|
AnnMaxClicksPercentQueryMatchPrediction
video_production: 408
Querymatchpredict on Indexann Strime Vuserdata2 MaxClickSPERCENT FACTOR
|
AnnMaxClicksPercentValueWcmAvg
video_production: 409
VALUEWCMAVG by Indexann Strame Vuserdata2 MaxClicksPerCent Factor
|
AnnPCtrNewAnnotationMatchPrediction
video_production: 410
AnnotationMatchprediction on Indexann Strame Vuserdata2 Factor PCTRNEW
|
AnnPCtrNewAnnotationMatchPredictionWeighted
video_production: 411
AnnotationMatchpredcyctionWeighted on Indexann Strame Vuserdata2 Factor PCTRNEW
|
QfufAllMaxWFMaxWVideoSpeechToTextBclmMixPlainKE5
video_production: 412
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. Type of aggregation for extensions: the greatest balanced value of the factor; It is normalized for the maximum weight of expansion. The result of the recognition of the text by audio document. The algorithm for aggregation of words weights is BCLMMIXPLAIN: a linear mixture of annotation BCLM weights and balanced Positionless weights of the word, then the former meters are aggregated through BM15. Normalization coefficient 10^(-5).
|
AnnCorrectedCtrXFactorSynonymMatchPrediction
video_production: 414
SynonyMatchpredical on Indexann Stream Web Corrected_ctr_xfactor. Regional only for Turkey
|
AnnCorrectedCtrXFactorAnnotationMatchPredictionWeighted
video_production: 415
AnnotationMatchpredicTionWeighted on Indexann Stream Web Corrected_CTR_XFACTOR. Regional only for Turkey
|
AnnCorrectedCtrXFactorQueryMatchPrediction
video_production: 416
Querymatchprediction by Indexann Stream Web Corrected_ctr_xfactor. Regional only for Turkey
|
AnnOneClickFrcXfSPAnnotationMatchPredictionWeighted
video_production: 417
AnnotationMatchpredictionWeighted by Indexann Stream Veba One_Click_frc_xf_sp
|
AnnOneClickFrcXfSPQueryMatchPrediction
video_production: 418
Querymatchprediction by Indexann Stream Web One_Click_FRC_XF_SP
|
AnnOneClickFrcXfSPBm15StrictK2
video_production: 419
BM15stRICTK2 by Indexann Strip Welb One_Click_FRC_XF_SP
|
AnnOneClickFrcXfSPBclmPlainK3
video_production: 420
BCLMPLAINK3 by Indexann Strip Weln_Click_FRC_XF_SP
|
AnnLongClickSPValueWcmPrediction
video_production: 421
VALUEWCMPREDICATION ON INDEXANN STRIM VEBE LONG_CLICK_SP
|
AnnLongClickSPBocmDoubleK1
video_production: 422
BOCMDOUBLEK1 PO INDEXANN Strimu Veba Long_Click_sp
|
AnnLongClickSPBocmDoubleK5
video_production: 423
BOCMDOUBLEK5 PO INDEXANN Strimu Veba Long_Click_SP
|
AnnSimpleClickValueWcmAvg
video_production: 424
VALUEWCMAVG by Indexann Strip Veb Simple_Click
|
AnnSimpleClickBm15StrictK2
video_production: 425
BM15stRICTK2 by Indexann Strip Veb Simple_Click
|
AnnSimpleClickBocmDoubleK5
video_production: 426
BOCMDOUBLEK5 PO INDEXANN Strimu Veba Simple_Click
|
AnnBqprSampleAnnotationMatchPrediction
video_production: 427
AnnotationMatchprediction on Indexann Strip Vib Bqpr_sample
|
AnnBqprSampleValueWcmAvg
video_production: 428
VALUEWCMAVG by Indexann Strip Veb BQPR_SAmple
|
AnnBqprSampleBocmDoubleK1
video_production: 429
BCMDOBLEK1 by Indexann Strip Veb BQPR_Sample
|
MarkerDoppLongDwellTime
video_production: 455
The share of long Dwell Time query taking into account MarkerDopPP-Normalization.
|
MetaAvgIsUGCDuration
video_production: 457
The average value of the ISUGCDURATION factor in PRS
|
MetaAvgQueryUrlSemanticSimilarity
video_production: 458
The average value of the Queryurlsemanticsimilar factor in PRS
|
MetaAvgBocmFull
video_production: 459
The average value of the Bocmfull factor in PRS
|
MetaAvgBestFirstHitSentenceTocm
video_production: 460
The average value of the Bestfirsthitsentencetocm factor in PRS
|
MetaAvgCorrectedMaxClicksPercentDopp
video_production: 461
The average value of the CorrectedmaxClicksperteMaxPercentDopp factor in PRS
|
MetaAvgMarkDoppUrlDiffCtr
video_production: 462
The average value of the Markdoppurldiff factor in PRS
|
MetaAvgMarkDoppUrlFrcMean
video_production: 463
The average value of the Markdoppurlfrcmean factor in PRS
|
MetaAvgAdditionRank
video_production: 464
The average value of the Additionrank factor in PRS
|
MetaAvgCategMusicProbability
video_production: 465
The average value of the CATEGMUSICPROBABABIBILIT factor in PRS
|
MetaRmsAnnCorrClicksBocmDouble
video_production: 467
The average quadrary deviation of the AnncorrClicksBocmDouble factor in PRS
|
MetaRmsAnnCorrClicksFrcValueMax
video_production: 468
The average quadracial deviation of the AnncorrClicksfrcvaluemax factor in PRS
|
MetaRmsAnnCorrClicksUFrcBocmDouble
video_production: 469
The average quadratic deviation of the AnncorrClicksuFrcBocmDouble factor in PRS
|
MetaRmsDuration
video_production: 470
The mid -sequential deviation of the Duration factor in PRS
|
MetaRmsBocmFull
video_production: 471
The mid -sequential deviation of the Bocmfull factor in PRS
|
MetaRmsTitleTrigramsInQuery
video_production: 472
The mid -sequential deviation of the Titlerigramsinquery factor in PRS
|
MetaRmsAdditionRank
video_production: 473
The average deviation of the Additionrank factor in PRS
|
MetaRmsCategGamesProbability
video_production: 474
The average quadratic deviation of the CategGamesProbaboly factor in PRS
|
MetaRmsCategMoviesProbability
video_production: 475
The mid -sequential deviation of the CategmoviesProbaboly factor in PRS
|
MetaRmsCategMusicProbability
video_production: 476
The mid -sequential deviation of the CategmusicProbaboly factor in PRS
|
MetaRmsCategNewsProbability
video_production: 477
The mid -sequential deviation of the CategnewSProbaboly factor in PRS
|
MetaRmsPlayerShortViewsNew
video_production: 478
The average deviation of the PlayershortViewsNew factor in PRS
|
MetaRmsAnnQusmValueWcmAvg
video_production: 479
The average quadratic deviation of the Annqusmvaluewcmavg factor in PRS
|
EntityDurationFromQuery
video_production: 480
The duration of the object from the ontobase, which was struck with a request
|
MetaVarianceDuration
video_production: 481
CoEF-T of Pieron Variation for the Duration factor in PRS
|
EntityMatchWeightFromQuery
video_production: 482
The weight of the query match with the object from the ontobase
|
MetaVarianceDiffCtr
video_production: 483
CoEF-T of Pieron Variation for the Diffctr factor in PRS
|
MetaVarianceQueryUrlSemanticSimilarity
video_production: 484
CoEF-T of Pieron Variation for QueryurlsemanticSimilarity factor in PRS
|
MetaVarianceTitleCovering
video_production: 485
COF-T Variations Pyrson Dul factor Titlecovering in PRs
|
MetaVarianceCorrectedMaxClicksPercentDopp
video_production: 486
COF-T variations Pyrson Dul factor CorrectedmaxClickspercentdopp in PRs
|
MetaVarianceTitleTrigramsInQuery
video_production: 487
CoEF-T of Pieron Variation for the Titlerigramsinquery factor in PRS
|
MetaVarianceIsMusic
video_production: 488
COF-T Variations Pyrson Dul factor ismusic in PRs
|
MetaVarianceAdditionRank
video_production: 489
CoEF-T of Pieron Variation for Additionrank factor in PRS
|
MetaVarianceCategAnimalsProbability
video_production: 490
CoEF-T of Pieron Variation for the Categanimalsprobaboly factor in PRS
|
MetaVarianceCategHowtoProbability
video_production: 491
CoEF-T of Pieron Variation for the CategHowtoprobaboly factor in PRS
|
MetaVarianceAnnQusmQueryMatchPrediction
video_production: 492
CoEF-T of Pieron Variation for the AnnqusmQuryMatchprediction factor in PRS
|
MetaVariancePlayerViewTime
video_production: 493
CoEF-T of Pieron Variation for PlayERviewtime factor in PRS
|
MetaVarianceAnnBclmAnnotationMatchPrediction
video_production: 494
CoEF-T of Pieron Variation for the AnnbClmannotationMatchprediction factor in PRS
|
EntityDurationFromQueryMatchesDuration
video_production: 495
The duration of the object from the ontobase, which was struck with a request, corresponds to the duration of the video (ratio from 0.8 to 1.2)
|
MetaResidWebTRDocQuorum
video_production: 496
Resid for Webtrdocquorum Factor in PRS
|
MetaResidDuration
video_production: 497
Resid for the Duration factor in PRS
|
MetaResidIsSerialDuration
video_production: 498
Resid for the IsserialDurament factor in PRS
|
MetaResidIsUGCDuration
video_production: 499
Resid for the ISUGCDURATION Factor in PRS
|
MetaResidTitleCovering
video_production: 500
Resid for Titlecovering Factor in PRS
|
MetaResidContentVideoStatic0to4AvgSpeed
video_production: 501
Resid for Contentvideostatic0To4AVGSPEED FACTOR
|
MetaFractHostShortDwellTime
video_production: 502
FRACT for HostshortdwellTime factor in PRS
|
MetaFractTitleTrigramsInQuery
video_production: 503
FRACT for the Titlerigramsinquery factor in PRS
|
MetaFractMarkSynUrlWeightCtr
video_production: 504
FRACT for the MarkSynurlweightctr factor in PRS
|
MetaFractContentVideoStatic0to4AvgSpeed
video_production: 505
FRACT for ContentVideostic0to4AvgSpeed factor in PRS
|
MetaFractContentVideoSpeed
video_production: 506
Fract Dul factor ContentVideospeed in PRS
|
MetaNumUrlsPerHost
video_production: 507
The number of urls on the host for request in PRS, normalized for the number of Urlov for this request in PRS.
|
EntityDurationFromQueryDivActualDuration
video_production: 508
The duration of the object from the ontobase, which was struck on request, to the duration of the video
|
QueryHasSerialSeason
video_production: 510
Serial request contains season number
|
AnnFastBocm
video_production: 512
Bocm for factorann that does not use sent/data files
|
AnnFastBm15Weighted
video_production: 513
Bm15Weighted for factorann that does not use sent/data files
|
AnnFastBm15Plain
video_production: 514
Bm15Plain for factorann that does not use sent/data files
|
AnnFastBclmLight
video_production: 515
BclmLight for factorann that does not use sent/data files
|
L1NnOverDssm
video_production: 518
The proximity of the request and document on the Neuronet model trained on DSSM and static/request factors.
|
QfufAllSumFCountVideoUnitedFactorAnnAllWcmWeightedPrediction
video_production: 522
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. Type of aggregation for extensions: the sum of the weights of factors; It is normalized for the number of extensions. Stream VideouunitedFactorann. Algorithm Allwcmweightedpredical.
|
QfufAllSumWFSumWVideoUnitedFactorAnnCMMatch80AvgValue
video_production: 523
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. Type of aggregation for extensions: suspended amount of factors weights; normalized for the total weight of extensions. Stream VideouunitedFactorann. CMMATCH80AVGVALUE algorithm.
|
AnnPvtmLokiFullMatchPrediction
video_production: 538
Fullmatchprediction on Stream Playersewtimemax from browser logs
|
AnnPvtmLokiSynonymMatchPrediction
video_production: 539
SynonyMatchpredication for Playersewtimemax Stream from browser logs
|
AnnPvtmLokiAnnotationMatchPredictionWeighted
video_production: 540
AnnotationMatchpredcyctionWeighted on a restraint of playerViewtimemax from browser logo
|
AnnPvtmLokiQueryMatchPrediction
video_production: 541
QueryMatchprediction on Stream Playersewtimemax from browser logs
|
AnnPvtmLokiValueWcmAvg
video_production: 542
Valuewcmavg on the stream Playervtimemax from browser logs
|
AnnPvtmLokiBclmBlainK3
video_production: 543
BCLMBLAINK3 Strim Playervtimemax from browser logs
|
XfDtShowAllMaxFTextBm11AllW0
video_production: 545
Ligvobusting factor. Type of extension - XFDTSHOW, stream - text, factor - BM11ALLW0, maximum value of the factor for extensions.
|
XfDtShowAllMaxFTextBocm11256
video_production: 546
Ligvobusting factor. Type of extension - XFDTSHOW, stream - text, factor - BOCM11, maximum value of the factor for extensions.
|
XfDtShowAllMaxFBodyPairMinProximity
video_production: 547
Ligvobusting factor. Type of extension - XFDTSHOW, stream - description of the video, factor - pairminProximity, maximum value of the factor in extensions.
|
XfDtShowAllMaxWFTitleBm15
video_production: 548
Ligvobusting factor. Type of extension - XFDTSHOW, stream is the title of the roller, the factor - BM15, the maximum balanced value of the factor for extensions.
|
XfDtShowAllMaxWFTextBm1116384
video_production: 549
Ligvobusting factor. Type of extension - XFDTSHOW, stream - text, factor - BM11ALLW0, maximum balanced value of the factor for extensions.
|
XfDtShowAllMaxWFMaxWBodyFullMatchCoverageStartingPercent
video_production: 550
Ligvobusting factor. Type of extension - XFDTSHOW, stream - description of the video, factor - FullmatchCoveraGestartingPercent, maximum balanced value of the factor for extensions, rationing for max. The meaning of the factor.
|
XfDtShowAllMaxWFSumWBodyFullMatchCoverageStartingPercent
video_production: 551
Ligvobusting factor. Type of extension - XFDTSHOW, stream - description of the video, factor - FullmatchCoveraGestartingPercent, the maximum balanced value of the factor for extensions, standardization for the amount of weights.
|
XfDtShowAllMinW
video_production: 552
Ligvobusting factor. Type of extension - XFDTSHOW, stream - description of the video, minimum weight by extensions.
|
XfDtShowTopMinFBodyFullMatchCoverageStartingPercent
video_production: 553
Ligvobusting factor. Type of extension - XFDTSHOW, Stream - Text, Factor - FullmatchCoveRagestartingPercent, the minimum value of the factor for extensions.
|
XfDtShowTopSumW2FSumWTitleBm11
video_production: 554
Ligvobusting factor. Type of extension - XFDTSHOW, stream is the title of the video, the factor - BM11, the average balanced values of the factor multiplied by weight.
|
XfDtShowBagOfWordsTitleAnnotationMatchAvgValue
video_production: 555
Ligvobusting factor. Type of extension - xfdtshow, a bag of words, stream - a title of a video, factor - AnnotationMatchavgvalue.
|
XfDtShowBagOfWordsTextCosineMaxMatch
video_production: 556
Ligvobusting factor. Type of extension - xfdtshow, bag of words, stream - text, factor - cosinemaxmatch.
|
XfDtShowBagOfWordsTextCosineMatchWeightedValue
video_production: 557
Ligvobusting factor. Type of extension - xfdtshow, bag of words, stream - text, factor - cosinematchweightedValue.
|
DssmL3WebLogDwellTime
video_production: 559
Logdwelltime by the VEB model DSSM. It is also used in the ranking of ether.
|
IsDesktopQuery
video_production: 562
The flag that the request came from the desktop.
|
AnnWordWeightSum
video_production: 569
If a word from a request is found in Ann adds a normalized weight of the word to this factor 1 time.
|
VideointentMark
video_production: 582
Tolocieran assessment of video intent strength at the request
|
FreshintentMark
video_production: 583
Tolocieran assessment of the integration force of freshness at the request
|
HasFreshintentMark
video_production: 584
The presence of a tolookier assessment of the integration force at the request
|
DssmL2WebLogDwellTime
video_production: 585
Logdwelltime by the VEB model DSSM.
|
QueryThumbI2TSimilarityV2
video_production: 586
The similarity of i2T vehicles of the cabinet and request trained on these videos
|
AssessRel
video_production: 587
Probability of the REL label from the toloka
|
AssessNotRel
video_production: 588
Probability of the NOT_REL label from the toloka
|
Assess404
video_production: 589
Probability of the 404 label from the toloka
|
TitleQuerySimilarityByClicks
video_production: 593
The similarity of the T2q vehicles of the Title and the request a la Klakhman, trained by clicks
|
IsWideSerialRequest
video_production: 595
Whether the request is a large -series.
|
DssmL3VideoDeepClickPlayerDepth
video_production: 596
DSSM with PlayerDepth Target on the deep click pool video. It is also used in the ranking of ether.
|
BadSerialDoc
video_production: 597
Not a suitable series (another series, season or series).
|
DssmL2VideoDcPlayerDepth
video_production: 599
DSSM with PlayerDepth Target on the deep click of a video at L2 Stages.
|
NormalizedMatchedTermCount
video_production: 600
The number of terms by which a document was made up by the number of terms by which the document was fucked up, plus one
|
MatchedTermCountRatio
video_production: 601
The number of terms by which a document divided into the total number of terms was fucked up
|
NormalizedPantherRelevance
video_production: 602
Panther relevant, divided into panther relevant plus 256
|
PantherRelevanceDivTermCount
video_production: 603
Panther relevantity divided by the number of terms in the request
|
PantherRelevanceDivWordCount
video_production: 604
Panther relevantity divided by the number of words in the request
|
PantherRelevanceDivMatchedTermCount
video_production: 605
Panther relevant, divided by the number of terms by which the document was fucked
|
PantherRelevanceDivMatchedWordCount
video_production: 606
Panther relevant, divided by the number of words from the request, according to which the document was fucked
|
MatchedWordCount
video_production: 607
The number of words from the request for which the document
|
MatchedWordCountRatio
video_production: 608
The number of words from the request for which a document divided into the total number of words
|
MatchedWordsIdf
video_production: 609
The amount of IDF words by which a document divided into a total IDF was fucked up
|
PantherTopPosition
video_production: 610
Position in the top panther
|
VideoQueryActualityPredict
video_production: 611
The value of the classifier of relevance of video queries
|
DssmVkPopularity
video_production: 615
The probability that the VK.com host is popular for this request in accordance with the corresponding DSSM model.
|
DssmOnlinerPopularity
video_production: 616
The probability that the Onliner.by host is popular for this request according to the corresponding DSSM model.
|
DssmRamblerPopularity
video_production: 617
The probability that the Rambler.ru host is popular for this request in accordance with the corresponding DSSM model.
|
DssmSunhomePopularity
video_production: 618
The probability that the Sunhome.ru host is popular for this request according to the corresponding DSSM model.
|
MisspellLmNgrYandexDirectOriginal
video_production: 619
Summary Skorov words of a request for a language model 3GRAMS-YANDEX-DIRECT.
|
MisspellLmRtlNgrWebMtOriginal
video_production: 620
Summary of the Skorov words of the request by the Web-Mt language model.
|
QueryToTextAllAvgW
video_production: 621
Linguistic boosting factor. The average weight of extensions type Querytotext.
|
QfufAllAvgW
video_production: 622
Linguistic boosting factor. The average weight of the QFUF type extensions.
|
QfufAllTotalW
video_production: 623
Linguistic boosting factor. Type of extensions: QFUF. Transferred the total weight of the extensions.
|
RandomLogQueryAvgAddTime
video_production: 624
ADDTIME average value for the year. It is calculated in offline.
|
RandomLogQueryAvgTxtHiRelSy
video_production: 625
The average value of TXTHIRELSY for the year. It is calculated in offline.
|
RandomLogQueryAvgTextLike
video_production: 626
The average TEXTLIKE value is for the year. It is calculated in offline.
|
RandomLogQueryAvgYabarHostAvgTime2
video_production: 627
The average value is Yabarhostavgtime2 for the year. It is calculated in offline.
|
RandomLogQueryAvgYabarUrlVisitors
video_production: 628
The average value of Yabarurlvisitors for the year. It is calculated in offline.
|
RandomLogQueryAvgQueryDOwnerOnlyClickRate
video_production: 629
The average value of QueryDowneronlyClickRate for the year. It is calculated in offline.
|
RandomLogQueryAvgDaterAge
video_production: 630
The average value of Dateraage for the year. It is calculated in offline.
|
RandomLogQueryAvgLongestText
video_production: 631
The average value of the LonGestText for the year. It is calculated in offline.
|
RandomLogQueryAvgDifferentInternalLinks
video_production: 632
The average value is DifferentinTernallinks for the year. It is calculated in offline.
|
RandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
video_production: 633
The average value of QueryDowneronlyClickRate_Rreg is for a year. It is calculated in offline.
|
RandomLogQueryAvgIsHub
video_production: 634
The average ISHUB value is for the year. It is calculated in offline.
|
RandomLogQueryAvgIsTargetBussinessCard
video_production: 635
The average ISTARGETBUSSINESSCARD for the year. It is calculated in offline.
|
RandomLogQueryAvgBM25_0
video_production: 636
The average value is BM25_0 on request per year. It is calculated in offline.
|
RandomLogQueryAvgBocm
video_production: 637
The average value of BOCM for the year. It is calculated in offline.
|
RandomLogQueryAvgIsIndexPage
video_production: 638
The average ISindexpage is for the year. It is calculated in offline.
|
RandomLogQueryAvgQueriesAvgCM2
video_production: 639
The average value of queriesavgcm2 for the year. It is calculated in offline.
|
RandomLogQueryAvgBrowserHostDownloadProbability
video_production: 640
The average value of BrowserhostDownloadProbabolyity for the year. It is calculated in offline.
|
RandomLogQueryAvgRegBrowserUserHub
video_production: 641
The average value of Regbrowseruserhub for the year. It is calculated in offline.
|
RandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
video_production: 642
The average value is QueryTodocallsumfcountTextbM11Norm16384 for the year. It is calculated in offline.
|
RandomLogQueryClicksWeightedAvgIsMainPage
video_production: 643
Maintened by clicks ISMainPage value for the year. It is calculated in offline.
|
RandomLogQueryClicksWeightedAvgYabarUrlAvgTime
video_production: 644
Main -heated clicks of the Yabarurlavgtime value for the year. It is calculated in offline.
|
RandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
video_production: 645
Malpanized Dwelltime-AMI Value of Urldomainfraction for the year. It is calculated in offline.
|
QueryDoppMedianDwelltime
video_production: 648
Median dwelltai request in history. Dwelltaym is cut to 6000. The request is normalized by doppelgangers
|
QueryDoppMultipleClicksShows
video_production: 649
The number of shows of the request with more than one click in history. The request is normalized by doppelgangers
|
QueryDoppMultipleClicksProbability
video_production: 650
The share of shows with more than one click from all shows in history. The request is normalized by doppelgangers
|
QueryDoppTimeFromPreviousPercentile25
video_production: 651
25% time quantile from the previous request to the current one. The request is normalized by doppelgangers
|
DssmQueryCountryToUrlEstimatedDistance
video_production: 652
Predicted by demand and country, using a DSSM model, the length of the click from this country.
|
DssmRandomLogQueryAvgNews
video_production: 653
The average for the year for the year predicted using the neural network.
|
DssmRandomLogQueryAvgAddTime
video_production: 654
ADDTIME ADDTIME is predicted using a neural network for a year.
|
DssmRandomLogQueryAvgTxtHiRelSy
video_production: 655
The average Txthirelesy value predicted using a neural network for the year.
|
DssmRandomLogQueryAvgTextLike
video_production: 656
The average Textlike is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgHasNoAllWordsTRSy
video_production: 657
The average HasnoallwordStrsy is predicted using a neural network for a year.
|
DssmRandomLogQueryAvgIsForum
video_production: 658
The average ISFORUM is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgYabarHostAvgTime2
video_production: 659
The average value of Yabarhostavgtime2 for the year for the year.
|
DssmRandomLogQueryAvgYabarUrlVisitors
video_production: 660
The average yabarurlvisitors is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate
video_production: 661
The average value of QueryDowneronlyClickRate for the year for the year.
|
DssmRandomLogQueryAvgDaterAge
video_production: 662
The average Dateraage value for the year for a year predicted using a neural network.
|
DssmRandomLogQueryAvgLongestText
video_production: 663
The average LonGestText is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgDifferentInternalLinks
video_production: 664
The average DifferentinTernallinks for the year for the year.
|
DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
video_production: 665
The average value of QueryDowneronlyClickRate_Rreg is predicted using a neural network for a year.
|
EqualVoiceoverStudio
video_production: 666
The request has a voice acting studio that coincides with the voice acting studio in the document
|
DssmRandomLogQueryAvgIsTargetBussinessCard
video_production: 667
The average ISTARGETBUSSINESSCARD is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgBocm
video_production: 668
The average BOCM value predicted using a neural network for the year.
|
DssmRandomLogQueryAvgIsIndexPage
video_production: 669
The average ISindEXPAGE is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgQueriesAvgCM2
video_production: 670
The average value of QueriesavGCM2 for the year for the year predicted using a neural network.
|
DssmRandomLogQueryAvgBrowserHostDownloadProbability
video_production: 671
The average BrowserhostdowLoadProbabolyti is predicted using a neural network for the year.
|
DssmRandomLogQueryAvgRegBrowserUserHub
video_production: 672
The average value of Regbrowseruserhub for the year for a year predicted using a neural network.
|
DssmRandomLogQueryAvgQueryUrlCorrectedCtrXfactor
video_production: 673
The average value of QueryurlCorrectrxFactor for the year for the year.
|
DssmRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
video_production: 674
The average value of QueryTodoCallsumfcountTextbM11Norm16384 for the year for the year.
|
DssmRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
video_production: 675
The average value of the XFDTSHOWALSUMWFSUMWBODYMINWINDOWSIZE for the year for the year.
|
DssmRandomLogQueryClicksWeightedAvgIsMainPage
video_production: 676
The value of the ISMAINPAGE with clicks predicted using the neural network with clicks on request for the year.
|
DssmRandomLogQueryClicksWeightedAvgYabarUrlAvgTime
video_production: 677
A mid Yabarurlavgtime value predicted using a neural network with clicks for a year.
|
DssmRandomLogQueryClicksWeightedAvgDifferentInternalLinks
video_production: 678
DiffferentinTernallinks, which is predicted using a neural network, is a weighted net with clicks for a year.
|
DssmRandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
video_production: 679
The Malue Network DwellTime-AMI predicted using the neural network is the value of Urldomainfraction for the year.
|
DssmBoostingXfOneSeAmSsHardQueryMutationAddFixedYearWordRenormedDistance
video_production: 696
Characterizes the request for the degree of change from the addition of a fixed word (number of some year), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
|
DssmBoostingXfOneSeAmSsHardQueryMutationAddOnlineWordRenormedDistance
video_production: 697
It characterizes the request for the degree of change from the addition of a fixed word ('online' for Kirilitsa), the DSSM model DSSMBOOSTINGXFONESEAMSHARD is used. It is also used in the ranking of ether.
|
DssmBoostingXfOneSeAmSsHardQueryMutationDelSiteWordRenormedDistance
video_production: 698
Characterizes the request for the degree of change from removing a fixed word ('site' for Kirilitsa), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
|
RandomLogWordMaxHasNoTr
video_production: 699
For each word offline, the average Hasnotr meaning is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.
|
RandomLogWordMinBclmLite
video_production: 700
For each word offline, the average BCLMLITE value is calculated for 3 months. Further, in all words of the request, a minimum of this value is taken.
|
RandomLogWordSkipStopWordsMaxDBM40
video_production: 701
For each word offline, the average DBM40 value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
|
RandomLogWordSkipStopWordsMaxIsDesktopRequest
video_production: 702
For each word offline, the average ISDESKTOPREQUEST value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
|
RandomLogWordMaxRLQAvgHasNoAllWordsTrSyn
video_production: 703
For each word offline, the average value of RLQAVGHASNOLLWORDSTRSYN is calculated at the request for 3 months. Further, in all words of the request, the maximum of this value is taken.
|
RandomLogWordMaxDssmAggregatedAnnReg
video_production: 704
For each word offline, the average DSSMAGGRETEDANNREG value is calculated at the request for 3 months. Further, in all words of the request, the maximum of this value is taken.
|
RandomLogWordMaxMetaNumUrlsPerHostFixed
video_production: 705
For each word offline, the average meaning of MetanumurlSperhostfixed is calculated in demands in 3 months. Further, in all words of the request, the maximum of this value is taken.
|
RandomLogWordSkipStopWordsMaxSDIsNavMxQueryMax
video_production: 706
For each word offline, the average value of MaxsdisnavmxqueryMax is calculated at the request for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
|
DssmGoogleSpecificity
video_production: 707
DSSM prediction of google specificity for query
|
MatchedWideQueryByFilmDetails
video_production: 709
Whether the document is consistent with a wide request (wide request: = [genres] [country] [year] [age limit (0 | 6 | 12 | 16)] [category (film | series | clip)]. Example: (French film About the war for adults 2018)
|
FreshRelevance
video_production: 712
Predict formula for the relevance of a fresh document.
|
RandomBoostFactor
video_production: 713
Random bust of relevance for rotation
|
L1TopPosition
video_production: 716
The position of the document in L1 top. Used to define targett in teaching a dynamic L1 Top model
|
DssmWebReformulationsDtPca0
video_production: 717
PCA0 from the request of the VEB -VEB model DSSM, trained in reformulations.
|
DssmWebReformulationsDtPca1
video_production: 718
PCA1 from the request of the VEB -VEB model DSSM, trained in reformulations.
|
DssmWebReformulationsDtPca2
video_production: 719
PCA2 from the request of the VEB model DSSM, trained in reformulations.
|
DssmWebReformulationsDtPca3
video_production: 720
PCA3 from the request of the VEB -VEB model DSSM, trained in reformulations.
|
DssmWebReformulationsDtPca4
video_production: 721
PCA4 from the request of the VEB -VEB model DSSM, trained in reformulations.
|
DssmVideoReformulationsWinPca0
video_production: 722
PCA0 from the request of the DSSM video model trained in reformulations.
|
DssmVideoReformulationsWinPca1
video_production: 723
PCA1 from the request of the DSSM video model trained in reformulations.
|
DssmVideoReformulationsWinPca2
video_production: 724
PCA2 from the request of the DSSM video model trained in reformulations.
|
DssmVideoReformulationsWinPca3
video_production: 725
PCA3 from the request of the DSSM video model trained in reformulations.
|
DssmVideoReformulationsWinPca4
video_production: 726
PCA4 from the request of the DSSM video model trained in reformulations.
|
DssmVideoReformulationsWinPca5
video_production: 727
PCA5 from the request of the DSSM video model trained in reformulations.
|
OriginalRequestBodyAvgPerTrigramAvgValueAny
video_production: 729
The factor for the original request. It is considered according to the contents of the document. Algorithm: AVGPERGRAMAMAVGVALueany.
|
OriginalRequestBodyBclmPlaneProximity1Bm15W0Size1K001
video_production: 730
The factor for the original request. It is considered according to the contents of the document. The BCLMPLANEPROXIMITY15W0SIZE1 algorithm: uses BCLM with free weighing if there are several words, if the word is one, then the sum of hits is used as a type of coincidence. Normalization coefficient 0.01.
|
OriginalRequestBodyBocm15K001
video_production: 731
The factor for the original request. It is considered according to the contents of the document. Algorithm for aggregation of the scales of words BOCM15. Normalization coefficient 0.01.
|
OriginalRequestBodyWordCoverageExact
video_production: 732
The factor for the original request. It is considered according to the contents of the document. The degree of covering the words of the request in the exact form.
|
OriginalRequestTitleWordCoverageAny
video_production: 733
The factor for the original request. It is considered according to the heading of the document. The degree of coating of the words of the request (all types of hits).
|
Latitude
video_production: 735
Quantum geographical breadth of the city, from where a request was set
|
WideVideoDetectorPredict
video_production: 736
Video classifier value Video
|
QueryUrlFastAvgClickPo
video_production: 737
|
QueryUrlFastCorrectedCTR
video_production: 738
|
QueryUrlFastMaxPlayerViewTime
video_production: 739
|
QueryUrlFastPlayerViewTruncDepthNew
video_production: 740
|
QueryUrlFastWeightedShows
video_production: 741
|
VideoClickSimQsBow
video_production: 745
Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector
|
VideoClickSimQs
video_production: 746
Query-to-doc click similarity factor (query-side)
|
VideoClickSimQsQfuf
video_production: 747
Query-to-doc click similarity factor (query-side), with query vector initialized from qfuf expansions
|
VideoClickSimBowMinAnnWeight
video_production: 748
Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector, min ann weight
|
VideoClickSimMaxNotMatchedQueryWordWeight
video_production: 749
Max weight of a word from click similarity query vector which is not found in CS document vector
|
VideoClickSimMaxNotMatchedQfufQueryWordWeight
video_production: 750
Max weight of a word from click similarity qfuf query vector which is not found in CS document vector
|
VideoClickSimQsIdf
video_production: 751
Query-to-doc click similarity factor (query-side), with query vector initialized as normalized idf vector
|
VideoClickSimQsWordCmMaxPredictionMin
video_production: 752
Linguistic boosting factor. Type of extensions: Originalrequest. Aggregation in all words of expansion. The sum of the square of the weight of the word (IDF), multiplied by the meaning of the factor. Normalized for the total weight of words. It is considered to be CS the vector of the document. PerwordCmmaxMatchMin algorithm: At least according to the maximum of the CMMAXMATCH weight abstracts.
|
DssmL3VideoBertDistill
video_production: 756
Prediction of relevance using DSSM, trained to predict Berta
|
CryptaAdHocActionMovieLoverProbabilitySegment
video_pers: 0
Crypt. Lal: Fans of militants. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocAndroidPadUserProbabilitySegment
video_pers: 1
Crypt. Lal: users of Android tablets. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocAndroidSmartphoneUserProbabilitySegment
video_pers: 2
Crypt. LAL: users of Android smartphones. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocAndroidUserProbabilitySegment
video_pers: 3
Crypt. Lal: Android users. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocAutoInterest
video_pers: 4
Crypt. Auto. Interest. Adhoc Keyword.
|
CryptaAdHocCoffeeLoverProbabilitySegment
video_pers: 5
Crypt. Lal: Coffeemen. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocEstateInterest
video_pers: 6
Crypt. Real estate. Interest. ADHOC Keyword.
|
CryptaAdHocFantasticLoverProbabilitySegment
video_pers: 7
Crypt. Lal: fans of fantasy. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocGoingToBuyAutoWithCostFrom2MillionProbabilitySegment
video_pers: 8
Crypt. LAL: They plan to buy a car more than 2 million rubles. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocHiTechInterest
video_pers: 9
Crypt. Hi Tech. Interest. Adhoc Keyword.
|
CryptaAdHocHitechAndInternetInterest
video_pers: 10
Crypt. Hi Tech and the Internet. Interest. ADHOC Keyword.
|
CryptaAdHocIpadUserProbabilitySegment
video_pers: 11
Crypt. LAL: iPad users. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocIphoneUserProbabilitySegment
video_pers: 12
Crypt. LAL: iPhone users. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocLightTvViewersProbabilitySegment
video_pers: 13
Crypt. Light TV Viewers. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocLoyalityHeuristicSegment
video_pers: 14
Crypt. Loyalty. Heuristic segment. ADHOC Keyword.
|
CryptaAdHocMovieInterest
video_pers: 15
Crypt. Movie. Interest. ADHOC Keyword.
|
CryptaAdHocSamsungPadUserProbabilitySegment
video_pers: 16
Crypt. LAL: Samsung tablets users. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocSamsungSmartphoneUserProbabilitySegment
video_pers: 17
Crypt. LAL: Samsung smartphones users. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocSummerSportInterest
video_pers: 18
Crypt. Summer sports. Interest. ADHOC Keyword.
|
CryptaAdHocTourismInterest
video_pers: 19
Crypt. Tourism. Interest. ADHOC Keyword.
|
CryptaAdHocToursInterest
video_pers: 20
Crypt. Tours and excursions. Interest. ADHOC Keyword.
|
CryptaFemaleGender
video_pers: 21
Crypt. Female.
|
CryptaFrom18To25Age
video_pers: 22
Crypt. Warbrast from 18 to 24.
|
CryptaFrom25To35Age
video_pers: 23
Crypt. Vozrast from 25 to 34.
|
CryptaFrom35To45Age
video_pers: 24
Crypt. Resurns from 35 to 44.
|
CryptaFrom45Age
video_pers: 25
Crypt. The age is greater or equal to 45.
|
CryptaHighRevenue
video_pers: 26
Crypt. High income.
|
CryptaLowRevenue
video_pers: 27
Crypt. Low income.
|
CryptaMaleGender
video_pers: 28
Crypt. Male gender.
|
CryptaMidRevenue
video_pers: 29
Crypt. Average income.
|
CryptaTo18Age
video_pers: 30
Crypt. Age does not exceed 17.
|
MetaWeeklyUrlClickedByUser
video_pers: 31
Whether the user was closed in Urlu in the last week.
|
IsLastDeepViewedHost
video_pers: 32
The last deeply viewed host user.
|
IsLastDeepViewedHostSameSerial
video_pers: 33
The last deeply viewed host from the series from the request.
|
IsLastDeepViewedHostAnySerial
video_pers: 34
The last deeply viewed host for any series.
|
IsLastDeepViewedPornoHost
video_pers: 35
The host of the last deeply viewed porn document.
|
RelatedKnnScore
video_related: 35
The proximity of the SRC-Urla and DST-Urla on Embeddings, on the basis of which Indexknn was built
|
SrcSameAuthor
video_related: 36
The same author
|
KnnScore
video_related: 37
The proximity of the embenging of marketing and a document in the KNN Index
|
IsSameVhContentType
video_related: 38
The same type of content for documents VX
|
RelatedOntoCollectionMatched
video_related: 39
The number of general collections.
|
OntoQueryAssocMatched
video_related: 40
The document is in the list of document associations from the request.
|
OntoAssocListMatched
video_related: 41
The intersection of general associations.
|
IsQueryKinopoiskFilm
video_related: 42
Is a request a movie from a film from a film.
|
CountriesMatched
video_related: 44
The coincidence of countries in the allocated objects.
|
RelatedReformulationsWebDtCos
video_related: 45
Semantic proximity of documents according to DSSML2WEBREFORMOLATIONSDT
|
RelatedReformulationsVideoWinCos
video_related: 46
Semantic proximity of documents according to DSSML2VIDEOREFORMELATIONSDT
|
RelatedVideoPlusV3QueryCos
video_related: 47
Semantic proximity of documents according to Videoplusqueryv3.
|
DuplicatesScore
video_related: 52
Skor model of duplicate prediction.
|
RelatedPureRelevanceScore
video_related: 53
Score models of relevance.
|
IsKidsCartoon
video_experimental: 0
The series is a children's cartoon.
|
MetaWeeklyUrlClickedByUserWithPuid
video_experimental: 1
Whether the user was closed in Urlu in the last week. Data on Yandexuid and Puid.
|
IsFreshSerial
video_experimental: 2
Whether the series came out of the series over the past 14 days.
|
IsLastDeepViewedHostWithPuid
video_experimental: 3
The last deeply viewed host user. Data on Yandexuid and Puid.
|
IsLastDeepViewedHostSameSerialWithPuid
video_experimental: 4
The last deeply viewed host from the series from the request. Data on Yandexuid and Puid.
|
SerialNameExactMatch
video_experimental: 6
The exact coincidence of the name of the series in the request and in the document (excluding synonyms).
|
IsLastDeepViewedHostAnySerialWithPuid
video_experimental: 7
The last deeply viewed host for any series. Data on Yandexuid and Puid.
|
IsLastDeepViewedPornoHostWithPuid
video_experimental: 8
The host of the last deeply viewed porn document. Data on Yandexuid and Puid.
|
MetaWebDssmLogDtBigramDoc50MaxD30Short
video_experimental: 9
The maximum cosine of the current document with documents from history closed shorter than 30 seconds
|
MetaWebDssmLogDtBigramDoc50MaxD180Long
video_experimental: 10
The maximum cosine of the current document with documents from history, clicks longer than 180 seconds
|
MetaWebDssmLogDtBigramDoc50MaxD30Long
video_experimental: 11
The maximum cosine of the current document with documents from history, clicks longer than 30 seconds
|
HubKnnScore
video_hub: 0
The proximity of the document to the embedding from the user profile by Hub-Embedding
|
VhsUser2DocScore
video_hub: 1
DOT Product of the EMBEDINGS of the Document and User (PN_VHS#ET_USER_2_DOC)
|
FpsCryptaGenderF
video_hub: 2
Crypt according to DJ profile. Gender Female.
|
FpsCryptaGenderM
video_hub: 3
Crypt according to DJ profile. Male Paul.
|
FpsCryptaAge0_17
video_hub: 4
Crypt according to DJ profile. Age up to 17 years.
|
FpsCryptaAge18_24
video_hub: 5
Crypt according to DJ profile. Age from 18 to 24 years.
|
FpsCryptaAge25_34
video_hub: 6
Crypt according to DJ profile. Age from 25 to 34 years.
|
FpsCryptaAge35_44
video_hub: 7
Crypt according to DJ profile. Age from 35 to 44 years.
|
FpsCryptaAge45_54
video_hub: 8
Crypt according to DJ profile. Age from 45 to 54 years.
|
FpsCryptaAge55_99
video_hub: 9
Crypt according to DJ profile. Age from 55 years.
|
FpsCryptaIncomeA
video_hub: 10
Crypt according to DJ profile. The income group A.
|
FpsCryptaIncomeB1
video_hub: 11
Crypt according to DJ profile. Income group B1.
|
FpsCryptaIncomeB2
video_hub: 12
Crypt according to DJ profile. Income group b2.
|
FpsCryptaIncomeC1
video_hub: 13
Crypt according to DJ profile. Income group C1.
|
FpsCryptaIncomeC2
video_hub: 14
Crypt according to DJ profile. Income group C2.
|
EntityUserNormalization0
video_hub: 15
Embedding user Pn_entity#et_usernormalization, component 0
|
EntityUserNormalization1
video_hub: 16
Embedding user Pn_entity#et_usernormalization, component 1
|
EntityUserNormalization2
video_hub: 17
Embedding user Pn_entity#et_usernormalization, component 2
|
EntityUserNormalization3
video_hub: 18
Embedding user Pn_entity#et_usernormalization, component 3
|
EntityKinopoiskUserNormalization0
video_hub: 19
Embedding user Pn_entity#et_kinopoiskusernormalization, component 0
|
EntityKinopoiskUserNormalization1
video_hub: 20
Embedding user Pn_entity#et_kinopoiskusernormalization, component 1
|
EntityKinopoiskUserNormalization2
video_hub: 21
Embedding user Pn_entity#et_kinopoiskusernormalization, component 2
|
EntityKinopoiskUserNormalization3
video_hub: 22
Embedding user Pn_entity#et_kinopoiskusernormalization, component 3
|
VitrinaUserRT0
video_hub: 23
Embedding user pn_vitrina#et_user_rt, component 0
|
VitrinaUserRT1
video_hub: 24
Embedding user pn_vitrina#et_user_rt, component 1
|
VitrinaUserRT2
video_hub: 25
Embedding user pn_vitrina#et_user_rt, component 2
|
VitrinaUserRT3
video_hub: 26
Embedding user pn_vitrina#et_user_rt, component 3
|
VitrinaUserRT4
video_hub: 27
Embedding user pn_vitrina#et_user_rt, component 4
|
VitrinaUserRT5
video_hub: 28
Embedding user pn_vitrina#et_user_rt, component 5
|
VitrinaUserRT6
video_hub: 29
Embedding user pn_vitrina#et_user_rt, component 6
|
VitrinaUserRT7
video_hub: 30
Embedding user pn_vitrina#et_user_rt, component 7
|
VitrinaUserRT8
video_hub: 31
Embedding user pn_vitrina#et_user_rt, component 8
|
VitrinaUserRT9
video_hub: 32
Embedding user pn_vitrina#et_user_rt, component 9
|
VitrinaUserRT10
video_hub: 33
Embedding user pn_vitrina#et_user_rt, component 10
|
VitrinaUserRT11
video_hub: 34
Embedding user pn_vitrina#et_user_rt, component 11
|
VitrinaUserRT12
video_hub: 35
Embedding user pn_vitrina#et_user_rt, component 12
|
VitrinaUserRT13
video_hub: 36
Embedding user pn_vitrina#et_user_rt, component 13
|
VitrinaUserRT14
video_hub: 37
Embedding user pn_vitrina#et_user_rt, component 14
|
VitrinaUserRT15
video_hub: 38
Embedding user pn_vitrina#et_user_rt, component 15
|
VitrinaUserRT16
video_hub: 39
Embedding user pn_vitrina#et_user_rt, component 16
|
VitrinaUserRT17
video_hub: 40
Embedding user pn_vitrina#et_user_rt, component 17
|
VitrinaUserRT18
video_hub: 41
Embedding user pn_vitrina#et_user_rt, component 18
|
VitrinaUserRT19
video_hub: 42
Embedding user pn_vitrina#et_user_rt, component 19
|
VitrinaUserRT20
video_hub: 43
Embedding user pn_vitrina#et_user_rt, component 20
|
VitrinaUserRT21
video_hub: 44
Embedding user pn_vitrina#et_user_rt, component 21
|
VitrinaUserRT22
video_hub: 45
Embedding user pn_vitrina#et_user_rt, component 22
|
VitrinaUserRT23
video_hub: 46
Embedding user pn_vitrina#et_user_rt, component 23
|
VitrinaUserRT24
video_hub: 47
Embedding user pn_vitrina#et_user_rt, component 24
|
VitrinaUserRT25
video_hub: 48
Embedding user pn_vitrina#et_user_rt, component 25
|
VitrinaUserRT26
video_hub: 49
Embedding user pn_vitrina#et_user_rt, component 26
|
VitrinaUserRT27
video_hub: 50
Embedding user pn_vitrina#et_user_rt, component 27
|
VitrinaUserRT28
video_hub: 51
Embedding user pn_vitrina#et_user_rt, component 28
|
VitrinaUserRT29
video_hub: 52
Embedding user pn_vitrina#et_user_rt, component 29
|
VitrinaUserRT30
video_hub: 53
Embedding user pn_vitrina#et_user_rt, component 30
|
VitrinaUserRT31
video_hub: 54
Embedding user pn_vitrina#et_user_rt, component 31
|
VitrinaUserRT32
video_hub: 55
Embedding user pn_vitrina#et_user_rt, component 32
|
VitrinaUserRT33
video_hub: 56
Embedding user pn_vitrina#et_user_rt, component 33
|
VitrinaUserRT34
video_hub: 57
Embedding user pn_vitrina#et_user_rt, component 34
|
VitrinaUserRT35
video_hub: 58
Embedding user pn_vitrina#et_user_rt, component 35
|
VitrinaUserRT36
video_hub: 59
Embedding user pn_vitrina#et_user_rt, component 36
|
VitrinaUserRT37
video_hub: 60
Embedding user pn_vitrina#et_user_rt, component 37
|
VitrinaUserRT38
video_hub: 61
Embedding user pn_vitrina#et_user_rt, component 38
|
VitrinaUserRT39
video_hub: 62
Embedding user pn_vitrina#et_user_rt, component 39
|
VitrinaUserRT40
video_hub: 63
Embedding user pn_vitrina#et_user_rt, component 40
|
VitrinaUserRT41
video_hub: 64
Embedding user pn_vitrina#et_user_rt, component 41
|
VitrinaUserRT42
video_hub: 65
Embedding user pn_vitrina#et_user_rt, component 42
|
VitrinaUserRT43
video_hub: 66
Embedding user pn_vitrina#et_user_rt, component 43
|
VitrinaUserRT44
video_hub: 67
Embedding user pn_vitrina#et_user_rt, component 44
|
VitrinaUserRT45
video_hub: 68
Embedding user pn_vitrina#et_user_rt, component 45
|
VitrinaUserRT46
video_hub: 69
Embedding user pn_vitrina#et_user_rt, component 46
|
VitrinaUserRT47
video_hub: 70
Embedding user pn_vitrina#et_user_rt, component 47
|
VitrinaUserRT48
video_hub: 71
Embedding user pn_vitrina#et_user_rt, component 48
|
VitrinaUserRT49
video_hub: 72
Embedding user pn_vitrina#et_user_rt, component 49
|
EntityFilmStaticShows
video_hub: 73
Ontoid Embedding pn_entity#et_filmstatic, shows
|
EntityFilmStaticShows30
video_hub: 74
Ontoid Embedding pn_entity#et_filmstatic, shows_30
|
EntityFilmStaticNativeShows
video_hub: 75
Ontoid Embedding pn_entity#et_filmstatic, native_shows
|
EntityFilmStaticNativeShows30
video_hub: 76
Ontoid Embedding pn_entity#et_filmstatic, native_shows_30
|
EntityFilmStaticReleaseYear
video_hub: 77
Ontoid Embedding pn_entity#et_filmstatic, redase_year
|
EntityFilmStaticBudgetAmount
video_hub: 78
Ontoid Embedding pn_entity#et_filmstatic, budget_amount
|
EntityFilmStaticDuration
video_hub: 79
Ontoid Embedding pn_entity#et_filmstatic, duration
|
EntityFilmStaticKinopoiskRating
video_hub: 80
Ontoid Embedding pn_entity#et_filmstatic, kinopoisk_rating
|
EntityFilmStaticKinopoiskVotes
video_hub: 81
Ontoid Embedding pn_entity#et_filmstatic, kinopoisk_votes
|
EntityFilmStaticImdbRating
video_hub: 82
Ontoid Embedding pn_entity#et_filmstatic, imdb_rating
|
EntityFilmStaticImdbVotes
video_hub: 83
Ontoid Embedding pn_entity#et_filmstatic, imdb_votes
|
FilmEntityIsAnimation
video_hub: 84
Is the film object an animated
|
FilmEntityIsTvProgram
video_hub: 85
Is the film object of the TV show
|
FilmEntityIsOnlineChannel
video_hub: 86
Is the film object a TV channel
|
FilmEntityKinopoiskRating
video_hub: 87
Film object
|
FilmEntityGenreUserRating
video_hub: 88
Average rating set by the user of the genre of the film object
|
FilmEntityGenreUserRatingCount
video_hub: 89
The number of assessments set by the user of the genre of the film object
|
UserDssmVideoDcQueriesSum1d
video_hub: 90
The proximity of the document to the sum of the user's search queries, half -life - 1 day
|
UserDssmVideoDcQueriesSum7d
video_hub: 91
The proximity of the document to the sum of the user's search queries, half -life - 7 days
|
UserDssmVideoDcQueriesSum30d
video_hub: 92
The proximity of the document to the sum of the user's search queries, half -life - 30 days
|
UserDssmWebDtQueriesSum1d
video_hub: 93
The proximity of the document to the sum of the user's search queries, half -life - 1 day
|
UserDssmWebDtQueriesSum7d
video_hub: 94
The proximity of the document to the sum of the user's search queries, half -life - 7 days
|
UserDssmWebDtQueriesSum30d
video_hub: 95
The proximity of the document to the sum of the user's search queries, half -life - 30 days
|
IsSearchSeen
video_hub: 96
Was the document viewed by the user on the filter pn_vhs#ft_search_seen
|
IsSpySeen
video_hub: 97
Was the document viewed by the user on the filter pn_vhs#ft_spy_seen
|
IsTVOnlinePlayerSeen
video_hub: 98
Was the document viewed by the user on the filter pn_vhs#ft_tvonline_player_seen
|
UserDssmVideoDcDocSum1d
video_hub: 99
The proximity of the document to the sum of the emblems of deeply viewed documents, half -life - 1 day
|
UserDssmVideoDcDocSum7d
video_hub: 100
The proximity of the document to the sum of the emobeddings of deeply viewed documents, half -life - 7 days
|
UserDssmVideoDcDocSum30d
video_hub: 101
The proximity of the document to the sum of the emblems of deeply viewed documents, half -life - 30 days
|
UserDssmWebDtDocSum1d
video_hub: 102
The proximity of the document to the sum of the user's search queries, half -life - 1 day
|
UserDssmWebDtDocSum7d
video_hub: 103
The proximity of the document to the sum of the emobeddings of deeply viewed documents, half -life - 7 days
|
UserDssmWebDtDocSum30d
video_hub: 104
The proximity of the document to the sum of the emblems of deeply viewed documents, half -life - 30 days
|
UserSearchTVTForGenreMax
video_hub: 105
TVT for genre on search logs
|
UserSpyTVTForGenreMax
video_hub: 106
TVT for genre on spy logs
|
UserEtherTVTForGenreMax
video_hub: 107
Tvt for genre on the bend of the player
|
UserSearchLVTForGenreMax
video_hub: 108
LVT for genre on search logs
|
UserSpyLVTForGenreMax
video_hub: 109
LVT for spy logs genre
|
UserEtherLVTForGenreMax
video_hub: 110
LVT for genre on the bend of the player
|
IsSecondaryTag
video_hub: 111
It costs 1 when the request for several tags and the document has already got into the tag
|
UserSearchTVTForHubTagMax
video_hub: 112
Tvt for search logs tag
|
UserSearchTVTForHubTagMax7d
video_hub: 113
Tvt for a search engine tag, half -life 7 days
|
UserSearchTVTForHubTagMax30d
video_hub: 114
Tvt for a search engine tag, half -life 30 days
|
UserSearchLVTForHubTagMax
video_hub: 115
LVT for search logs tag
|
UserSearchLVTForHubTagMax7d
video_hub: 116
LVT for a search engine tag, half -life 7 days
|
UserSearchLVTForHubTagMax30d
video_hub: 117
LVT for a search engine tag, half -life 30 days
|
FilmEntityAssocUserRating
video_hub: 118
Average rating set by the user of the associations of the film object
|
FilmEntityAssocUserRatingCount
video_hub: 119
The number of assessments set by the user of the associations of the film object
|
UserSpyTVTForHubTagMax
video_hub: 120
TVT for spy-logs tag
|
UserSpyTVTForHubTagMax7d
video_hub: 121
Tvt for spy-logs tag, half-life 7 days
|
UserSpyTVTForHubTagMax30d
video_hub: 122
Tvt for spy-logs tag, half-life 30 days
|
UserSpyLVTForHubTagMax
video_hub: 123
LVT for spy-logs tag
|
UserSpyLVTForHubTagMax7d
video_hub: 124
LVT for spy-logs tag, half-life 7 days
|
UserSpyLVTForHubTagMax30d
video_hub: 125
LVT for spy-logs tag, half-life 30 days
|
UserSearchTVTForGenreMax7d
video_hub: 126
TVT for genre on search logs, half -life 7 days
|
UserSpyTVTForGenreMax7d
video_hub: 127
TVT for genre on spy logs, half -life 7 days
|
UserEtherTVTForGenreMax7d
video_hub: 128
Tvt for the genre on the bend of the player, half -life 7 days
|
UserSearchLVTForGenreMax7d
video_hub: 129
LVT for genre on search logs, half -life 7 days
|
UserSpyLVTForGenreMax7d
video_hub: 130
LVT for genre on spy logs, half -life 7 days
|
UserEtherLVTForGenreMax7d
video_hub: 131
LVT for genre on the bend of the player, half -life 7 days
|
UserSearchTVTForGenreMax30d
video_hub: 132
TVT for genre on search logs, half -life 30 days
|
UserSpyTVTForGenreMax30d
video_hub: 133
TVT for genre on spy logs, half -life 30 days
|
UserEtherTVTForGenreMax30d
video_hub: 134
Tvt for the genre on the bend of the player, half -life 30 days
|
UserSearchLVTForGenreMax30d
video_hub: 135
LVT for genre on search logs, half -life 30 days
|
UserSpyLVTForGenreMax30d
video_hub: 136
LVT for genre on spy logs, half -life 30 days
|
UserEtherLVTForGenreMax30d
video_hub: 137
LVT for genre on the bend of the player, half -life 30 days
|
EntityAlsScoreV0
video_hub: 139
DOT Product of the user and document emobeddings (pn_entity#et_als, v0
|
EntityAlsScoreV1
video_hub: 140
DOT Product of the user and document emobeddings (pn_entity#et_als, v1
|
EntityKinopoiskAlsScoreV0
video_hub: 141
DOT Product of the user and document emobeddings (pn_entity#et_kinopoiskals, v0
|
EntityKinopoiskAlsScoreV1
video_hub: 142
DOT Product of the user and document emobeddings (pn_entity#et_kinopoiskals, v1
|
EntityAlsRawScoreV0
video_hub: 143
DOT Product Embeddings of the user and document (pn_entity#et_als_RaW, v0
|
EntityAlsRawScoreV1
video_hub: 144
DOT Product of the user and document emobeddings (pn_entity#et_als_RaW, v1
|
EntityKinopoiskAlsRawScoreV0
video_hub: 145
DOT Product of the user and document emobeddings (Pn_entity#et_kinopoiskalsRaw, v0
|
EntityKinopoiskAlsRawScoreV1
video_hub: 146
DOT Product of the user and document emobeddings (Pn_entity#et_kinopoiskalsRaw, v1
|
EntityHistoryDssmScoreV0
video_hub: 147
Cosinus Embeddings of the User and Document (Pn_entity#et_historydssm, V0
|
EntityHistoryDssmScoreV1
video_hub: 148
Cosinus Embeddings User and Document (Pn_entity#et_historydssm, V1
|
SearchGenreTVTCF
video_hub: 149
Katfich for TVT for genres without half -life
|
SearchGenreLVTCF
video_hub: 150
Katfich for LVT for genres without half -life
|
SearchGenreTVTCF7d
video_hub: 151
Katfich for TVT for genres with half -life 7 days
|
SearchGenreLVTCF7d
video_hub: 152
Katfich for LVT for genres with half -life 7 days
|
SearchGenreTVTCF30d
video_hub: 153
Katfich for TVT for genres with half -life 30 days
|
SearchGenreLVTCF30d
video_hub: 154
Katfich for LVT for genres with half -life 30 days
|
SearchHubtagTVTCF
video_hub: 155
Katfich for tvt tags without half -life
|
SearchHubtagLVTCF
video_hub: 156
Katfich for LVT Tags without half -life
|
SearchHubtagTVTCF7d
video_hub: 157
Catfich for tvt tags with half -life 7 days
|
SearchHubtagLVTCF7d
video_hub: 158
Catfich for LVT Tags with half -life 7 days
|
SearchHubtagTVTCF30d
video_hub: 159
Catfich for tvt tags with half -life 30 days
|
SearchHubtagLVTCF30d
video_hub: 160
Katfich for LVT Tags with half -life 30 days
|
UserLikeReactionCountForGenreMax
video_hub: 161
The number of Like-reactions of the user in genre
|
UserLikeReactionCountForHubtagMax
video_hub: 162
The number of Like-reactions of the user on TEGU
|
UserFireReactionCountForGenreMax
video_hub: 163
The number of Fire reaction of the user in genre
|
UserFireReactionCountForHubtagMax
video_hub: 164
The number of fire reactions of the user on TEGU
|
UserHahaReactionCountForGenreMax
video_hub: 165
The number of haha reaction of the user in genre
|
UserHahaReactionCountForHubtagMax
video_hub: 166
The number of haha reaction user on TEGU
|
UserWowReactionCountForGenreMax
video_hub: 167
The number of wow-reactions of the user in genre
|
UserWowReactionCountForHubtagMax
video_hub: 168
The number of wow-reactions of the user on TEGU
|
UserSadReactionCountForGenreMax
video_hub: 169
The number of SAD-reactions of the user in genre
|
UserSadReactionCountForHubtagMax
video_hub: 170
Number of SAD-reactions of the user on TEGU
|
UserAngryReactionCountForGenreMax
video_hub: 171
The number of the Angry reaction of the user in genre
|
UserAngryReactionCountForHubtagMax
video_hub: 172
The number of Angry reaction user on TEGU
|
UserDislikeReactionCountForGenreMax
video_hub: 173
The number of Dislike reaction of the user in genre
|
UserDislikeReactionCountForHubtagMax
video_hub: 174
The number of dislike reactions of the user on TEGU
|
UserLikeReactionCountForGenreMax7d
video_hub: 175
The number of Like-reactions of the user in genre with half-life 7 days
|
UserLikeReactionCountForHubtagMax7d
video_hub: 176
The number of Like-reaction user for TEG with half-life 7 days
|
UserFireReactionCountForGenreMax7d
video_hub: 177
The number of Fire-reactions of the user in genre with half-life 7 days
|
UserFireReactionCountForHubtagMax7d
video_hub: 178
The number of Fire-reactions of the user on TEGU with half-life 7 days
|
UserHahaReactionCountForGenreMax7d
video_hub: 179
The number of haha reaction of the user in genre with half-life 7 days
|
UserHahaReactionCountForHubtagMax7d
video_hub: 180
The number of haha reaction of the user on TEG with half-life 7 days
|
UserWowReactionCountForGenreMax7d
video_hub: 181
The number of Wow-reactions of the user in genre with half-life 7 days
|
UserWowReactionCountForHubtagMax7d
video_hub: 182
The number of wow-reactions of the user on TEGU with half-life 7 days
|
UserSadReactionCountForGenreMax7d
video_hub: 183
The number of SAD reactions of the user in genre with half-life 7 days
|
UserSadReactionCountForHubtagMax7d
video_hub: 184
The number of the user's SAD-reactions for TEGU with half-life 7 days
|
UserAngryReactionCountForGenreMax7d
video_hub: 185
The number of the Angry reaction of the user in genre with half-life 7 days
|
UserAngryReactionCountForHubtagMax7d
video_hub: 186
The number of Angry-reactions of the user on TEG with half-life 7 days
|
UserDislikeReactionCountForGenreMax7d
video_hub: 187
The number of Dislike reactions of the user in genre with half-life 7 days
|
UserDislikeReactionCountForHubtagMax7d
video_hub: 188
The number of Dislike reactions of the user on TEG with half-life 7 days
|
UserLikeReactionCountForGenreMax30d
video_hub: 189
The number of Like-reactions of the user in genre with half-life 30 days
|
UserLikeReactionCountForHubtagMax30d
video_hub: 190
The number of Like-reactions of the user on TEG with half-life 30 days
|
UserFireReactionCountForGenreMax30d
video_hub: 191
The number of Fire-reactions of the user in genre with half-life 30 days
|
UserFireReactionCountForHubtagMax30d
video_hub: 192
The number of Fire-reactions of the user on TEG with half-life 30 days
|
UserHahaReactionCountForGenreMax30d
video_hub: 193
The number of haha reaction of the user in genre with half-life 30 days
|
UserHahaReactionCountForHubtagMax30d
video_hub: 194
The number of haha reaction of the user on TEG with half-life 30 days
|
UserWowReactionCountForGenreMax30d
video_hub: 195
The number of wow-reactions of the user in genre with half-life 30 days
|
UserWowReactionCountForHubtagMax30d
video_hub: 196
The number of wow-reactions of the user on TEGU with half-life 30 days
|
UserSadReactionCountForGenreMax30d
video_hub: 197
The number of SAD reactions of the user in genre with half-life 30 days
|
UserSadReactionCountForHubtagMax30d
video_hub: 198
The number of the user SAD-reactions for TEGU with half-life 30 days
|
UserAngryReactionCountForGenreMax30d
video_hub: 199
The number of the Angry-reactions of the user in genre with half-life 30 days
|
UserAngryReactionCountForHubtagMax30d
video_hub: 200
The number of Angry reaction user on TEG with half-life 30 days
|
UserDislikeReactionCountForGenreMax30d
video_hub: 201
The number of Dislike reactions of the user in genre with half-life 30 days
|
UserDislikeReactionCountForHubtagMax30d
video_hub: 202
The number of Dislike reactions of the user on TEG with half-life 30 days
|
HasReactedWithLike
video_hub: 203
Whether the user reacted to the video reaction like Like
|
HasReactedWithFire
video_hub: 204
Whether the user reacted to the video reaction type Fire
|
HasReactedWithHaha
video_hub: 205
Whether the user reacted to the video reaction type Haha
|
HasReactedWithWow
video_hub: 206
Whether the user reacted to the video reaction type Wow
|
HasReactedWithSad
video_hub: 207
Whether the user reacted to the video reaction type SAD
|
HasReactedWithAngry
video_hub: 208
Whether the user reacted to the video reaction type Angry
|
HasReactedWithDislike
video_hub: 209
Whether the user reacted to the video reaction type Dislike
|
VideoAlsScore
video_hub: 210
DOT Product between ALS user and document embeditions
|
VitrinaDssmScore
video_hub: 211
DOT Product between windows of the user and document
|
IsOntoIdRated
video_hub: 212
Was the ontoid document with the largest ambulance was appreciated by the user
|
UserOntoIdRating
video_hub: 213
Opening on the ontoid that the user put down
|
UserOntoIdKinopoiskRating
video_hub: 214
The ontoid assessment that the user put on KinoPoisk (displayed in 1-5)
|
IsLastViewedHubtag
video_hub: 215
Whether the document belongs to the latest user habtams
|
IS_LAST_VIEWED_GENRE
video_hub: 216
Whether the document belongs to the last viewed user geners
|
DocReleaseAgePessimization
video_hub: 217
Vazrast document with the moment Releasedate
|
UserSearchTVTForGenreMax2h
video_hub: 218
TVT for genre on search logs, half -life 2 hours
|
UserSpyTVTForGenreMax2h
video_hub: 219
TVT for genre on spy logs, half -life 2 hours
|
UserEtherTVTForGenreMax2h
video_hub: 220
Tvt for the genre on the bend of the player, half -life 2 hours
|
UserSearchLVTForGenreMax2h
video_hub: 221
LVT for genre on search logs, half -life 2 hours
|
UserSpyLVTForGenreMax2h
video_hub: 222
LVT for genre on spy logs, half -life 2 hours
|
UserEtherLVTForGenreMax2h
video_hub: 223
LVT for genre on the bend of the player, half -life 2 hours
|
UserLikeReactionCountForGenreMax2h
video_hub: 224
The number of Like-reactions of the user in genre with half-life 2 hours
|
UserLikeReactionCountForHubtagMax2h
video_hub: 225
The number of Like-reaction user on TEGU with half-life 2 hours
|
UserFireReactionCountForGenreMax2h
video_hub: 226
The number of Fire reaction of the user in genre with half-life 2 hours
|
UserFireReactionCountForHubtagMax2h
video_hub: 227
The number of Fire-reactions of the user on TEG with half-life 2 hours
|
UserHahaReactionCountForGenreMax2h
video_hub: 228
The number of haha reaction of the user in genre with half-life 2 hours
|
UserHahaReactionCountForHubtagMax2h
video_hub: 229
The number of haha reaction of the user on TEG with half-life 2 hours
|
UserWowReactionCountForGenreMax2h
video_hub: 230
The number of wow-reactions of the user in genre with half-life 2 hours
|
UserWowReactionCountForHubtagMax2h
video_hub: 231
The number of wow-reactions of the user on TEGU with half-life 2 hours
|
UserSadReactionCountForGenreMax2h
video_hub: 232
The number of SAD reactions of the user in genre with half-life 2 hours
|
UserSadReactionCountForHubtagMax2h
video_hub: 233
The number of the user's SAD-reactions for TEGU with half-life 2 hours
|
UserAngryReactionCountForGenreMax2h
video_hub: 234
The number of the Angry-reactions of the user in genre with half-life 2 hours
|
UserAngryReactionCountForHubtagMax2h
video_hub: 235
The number of Angry reaction user on TEG with half-life 2 hours
|
UserDislikeReactionCountForGenreMax2h
video_hub: 236
The number of Dislike reactions of the user in genre with half-life 2 hours
|
UserDislikeReactionCountForHubtagMax2h
video_hub: 237
The number of Dislike reactions of the user on TEG with half-life 2 hours
|
UserSearchTVTForGenreMax8h
video_hub: 238
TVT for genre on search logs, half -life 8 hours
|
UserSpyTVTForGenreMax8h
video_hub: 239
TVT for genre on spy logs, half -life 8 hours
|
UserEtherTVTForGenreMax8h
video_hub: 240
Tvt for the genre on the bend of the player, half -life 8 hours
|
UserSearchLVTForGenreMax8h
video_hub: 241
LVT for genre on search logs, half -life 8 hours
|
UserSpyLVTForGenreMax8h
video_hub: 242
LVT for genre on spy logs, half -life 8 hours
|
UserEtherLVTForGenreMax8h
video_hub: 243
LVT for genre on the bend of the player, half -life 8 hours
|
UserLikeReactionCountForGenreMax8h
video_hub: 244
The number of Like-reactions of the user in genre with half-life 8 hours
|
UserLikeReactionCountForHubtagMax8h
video_hub: 245
The number of Like-reactions of the user on TEG with half-life 8 hours
|
UserFireReactionCountForGenreMax8h
video_hub: 246
The number of Fire reaction of the user in genre with half-life 8 hours
|
UserFireReactionCountForHubtagMax8h
video_hub: 247
The number of Fire-reactions of the user on TEG with half-life 8 hours
|
UserHahaReactionCountForGenreMax8h
video_hub: 248
The number of haha reaction of the user in genre with half-life 8 hours
|
UserHahaReactionCountForHubtagMax8h
video_hub: 249
The number of haha reaction of the user on TEG with half-life 8 hours
|
UserWowReactionCountForGenreMax8h
video_hub: 250
The number of Wow-reactions of the user in genre with half-life 8 hours
|
UserWowReactionCountForHubtagMax8h
video_hub: 251
The number of wow-reactions of the user on TEGU with half-life 8 hours
|
UserSadReactionCountForGenreMax8h
video_hub: 252
The number of the user's SAD-reaction genre with half-life 8 hours
|
UserSadReactionCountForHubtagMax8h
video_hub: 253
The number of the user SAD-reactions for TEGU with half-life 8 hours
|
UserAngryReactionCountForGenreMax8h
video_hub: 254
The number of the Angry-reactions of the user in genre with half-life 8 hours
|
UserAngryReactionCountForHubtagMax8h
video_hub: 255
The number of Angry reaction user on TEG with half-life 8 hours
|
UserDislikeReactionCountForGenreMax8h
video_hub: 256
The number of Dislike reactions of the user in genre with half-life 8 hours
|
UserDislikeReactionCountForHubtagMax8h
video_hub: 257
The number of Dislike reactions of the user on TEG with half-life 8 hours
|
UserEtherTVTForHubTagMax
video_hub: 258
Tvt for tag on etheric logs
|
UserEtherTVTForHubTagMax7d
video_hub: 259
Tvt for tags on etheric logs, half -life 7 days
|
UserEtherTVTForHubTagMax30d
video_hub: 260
Tvt for tags on etheric logs, half -life 30 days
|
UserEtherLVTForHubTagMax
video_hub: 261
LVT for tag on etheric logs
|
UserEtherLVTForHubTagMax7d
video_hub: 262
LVT for tags on etheric logs, half -life 7 days
|
UserEtherLVTForHubTagMax30d
video_hub: 263
LVT for tags on etheric logs, half -life 30 days
|
UserEtherTVTForHubTagMax2h
video_hub: 264
Tvt for tags on etheric logs, half -life 2 hours
|
UserEtherLVTForHubTagMax2h
video_hub: 265
LVT for tags on etheric logs, half -life 2 hours
|
UserEtherTVTForHubTagMax8h
video_hub: 266
Tvt for tags on etheric logs, half -life 8 hours
|
UserEtherLVTForHubTagMax8h
video_hub: 267
LVT for tags on etheric logs, half -life 8 hours
|
UserSearchTVTForHubTagMax2h
video_hub: 268
Tvt for a search engine tag, half -life 2 hours
|
UserSearchLVTForHubTagMax2h
video_hub: 269
LVT for a search engine tag, half -life 2 hours
|
UserSearchTVTForHubTagMax8h
video_hub: 270
Tvt for a search engine tag, half -life 8 hours
|
UserSearchLVTForHubTagMax8h
video_hub: 271
LVT for a search engine tag, half -life 8 hours
|
UserSpyTVTForHubTagMax2h
video_hub: 272
TVT for tags on browser logs, half -life 2 hours
|
UserSpyLVTForHubTagMax2h
video_hub: 273
LVT for a tag on browser logs, half -life 2 hours
|
UserSpyTVTForHubTagMax8h
video_hub: 274
Tvt for tag on browser logs, half -life 8 hours
|
UserSpyLVTForHubTagMax8h
video_hub: 275
LVT for a tag on browser logs, half -life 8 hours
|
HasReactedWithNotInterested
video_hub: 276
Whether the user reacted to the reaction of the type of notinTerested
|
VhsUser2DocLikeScore
video_hub: 278
DOT Product of the EMBEDINGS of the Document and User (PN_VHS#ET_USER_2_DOC_LIKE)
|
VhsUser2DocDislikeScore
video_hub: 279
DOT Product of the EMBEDINGS of the Document and User (PN_VHS#ET_USER_2_DOC_DISLIKE)
|
VhsWasShowOnEther
video_hub: 280
The user previously saw this video on the air
|
VhsDocSearchTVT
video_hub: 281
TVT video on Search logs
|
VhsDocSearchTVT30d
video_hub: 282
TVT video on Search logs for 30 days
|
VhsDocSearchTVT7d
video_hub: 283
TVT video on Search logs for 7 days
|
VhsDocSearchLVT
video_hub: 284
LVT video on Search logs
|
VhsDocSearchLVT30d
video_hub: 285
LVT video on Search logs for 30 days
|
VhsDocSearchLVT7d
video_hub: 286
LVT video on Search logs for 7 days
|
VhsDocEtherTVT
video_hub: 287
TVT video on Ether logs
|
VhsDocEtherTVT30d
video_hub: 288
TVT video on Ether logs for 30 days
|
VhsDocEtherTVT7d
video_hub: 289
TVT video on Ether logs for 7 days
|
VhsDocEtherLVT
video_hub: 290
LVT video on Ether logs
|
VhsDocEtherLVT30d
video_hub: 291
LVT video on Ether logs for 30 days
|
VhsDocEtherLVT7d
video_hub: 292
LVT video on Ether logs for 7 days
|
VhsDocSpyTVT
video_hub: 293
TVT video on Spy logam
|
VhsDocSpyTVT30d
video_hub: 294
TVT video on spy logs for 30 days
|
VhsDocSpyTVT7d
video_hub: 295
TVT video on spy logs in 7 days
|
VhsDocSpyLVT
video_hub: 296
LVT video on Spy logam
|
VhsDocSpyLVT30d
video_hub: 297
LVT video on spy logs in 30 days
|
VhsDocSpyLVT7d
video_hub: 298
LVT video on spy logs in 7 days
|
VhsUserLVT
video_hub: 299
LVT user
|
VhsUserTVT
video_hub: 300
TVT user
|
VhsUserLVT30d
video_hub: 301
LVT user for 30 days
|
VhsUserTVT30d
video_hub: 302
TVT user for 30 days
|
VhsUserLVT7d
video_hub: 303
LVT user for 7 days
|
VhsUserTVT7d
video_hub: 304
TVT user for 7 days
|
VhsUserLVTSearch
video_hub: 305
LVT user for Search logs
|
VhsUserTVTSearch
video_hub: 306
TVT user on Search logs
|
VhsUserLVTSearch30d
video_hub: 307
LVT user for Search logs for 30 days
|
VhsUserTVTSearch30d
video_hub: 308
TVT user for Search logs for 30 days
|
VhsUserLVTSearch7d
video_hub: 309
LVT user for Search logs for 7 days
|
VhsUserTVTSearch7d
video_hub: 310
TVT user for Search logs for 7 days
|
VhsUserLVTSpy
video_hub: 311
LVT user for spy logs
|
VhsUserTVTSpy
video_hub: 312
TVT user on spy logs
|
VhsUserLVTSpy30d
video_hub: 313
LVT user for spy logs for 30 days
|
VhsUserTVTSpy30d
video_hub: 314
TVT user on spy logs for 30 days
|
VhsUserLVTSpy7d
video_hub: 315
LVT user for spy logs for 7 days
|
VhsUserTVTSpy7d
video_hub: 316
TVT user on spy logs for 7 days
|
VhsUserLVTTVOnlinePlayer
video_hub: 317
LVT user on TV online logs
|
VhsUserTVTTVOnlinePlayer
video_hub: 318
TVT user on TV online logs
|
VhsUserLVTTVOnlinePlayer30d
video_hub: 319
LVT user on TV online for 30 days
|
VhsUserTVTTVOnlinePlayer30d
video_hub: 320
TVT user on TV online for 30 days
|
VhsUserLVTTVOnlinePlayer7d
video_hub: 321
LVT user on TV online for 7 days
|
VhsUserTVTTVOnlinePlayer7d
video_hub: 322
TVT user on TV online for 7 days
|
UserHeartReactionCountForGenreMax
video_hub: 323
The number of the user in the genre
|
UserHeartReactionCountForHubtagMax
video_hub: 324
Number of Heart-reactions of the user on TEGU
|
UserSkipReactionCountForGenreMax
video_hub: 325
The number of SKIP reactions of the user in genre
|
UserSkipReactionCountForHubtagMax
video_hub: 326
Number of SKIP reactions of the user on TEGU
|
UserBoredReactionCountForGenreMax
video_hub: 327
The number of bored-reaction of the user in genre
|
UserBoredReactionCountForHubtagMax
video_hub: 328
The number of bored-reaction user on TEGU
|
UserHeartReactionCountForGenreMax7d
video_hub: 329
The number of the user of the user in the genre with half-life 7 days
|
UserHeartReactionCountForHubtagMax7d
video_hub: 330
The number of the user of the TEGU user with half-life 7 days
|
UserSkipReactionCountForGenreMax7d
video_hub: 331
The number of SKIP reactions of the user in genre with half-life 7 days
|
UserSkipReactionCountForHubtagMax7d
video_hub: 332
The number of SKIP reactions of the user on TEG with half-life 7 days
|
UserBoredReactionCountForGenreMax7d
video_hub: 333
The number of bored-reactions of the user in genre with half-life 7 days
|
UserBoredReactionCountForHubtagMax7d
video_hub: 334
The number of bored-reaction user for TEG with half-life 7 days
|
UserHeartReactionCountForGenreMax30d
video_hub: 335
The number of the user of the user in the genre with half-life 30 days
|
UserHeartReactionCountForHubtagMax30d
video_hub: 336
The number of the user of the TEGU user with half-life 30 days
|
UserSkipReactionCountForGenreMax30d
video_hub: 337
The number of SKIP reactions of the user in genre with half-life 30 days
|
UserSkipReactionCountForHubtagMax30d
video_hub: 338
The number of SKIP reactions of the user on TEG with half-life 30 days
|
UserBoredReactionCountForGenreMax30d
video_hub: 339
The number of bored-reactions of the user in genre with half-life 30 days
|
UserBoredReactionCountForHubtagMax30d
video_hub: 340
The number of bored-reaction user for TEG with half-life 30 days
|
HasReactedWithHeart
video_hub: 341
Whether the user reacted to the video reaction type Heart
|
HasReactedWithSkip
video_hub: 342
Whether the user reacted to the video reaction of the SKIP type
|
HasReactedWithBored
video_hub: 343
Whether the user reacted to the video reaction of the type Bored
|
UserHeartReactionCountForGenreMax2h
video_hub: 344
The number of the user of the user in the genre with half-life 2 hours
|
UserHeartReactionCountForHubtagMax2h
video_hub: 345
The number of the user's Heart reaction of TEG with half-life 2 hours
|
UserSkipReactionCountForGenreMax2h
video_hub: 346
The number of SKIP reactions of the user in genre with half-life 2 hours
|
UserSkipReactionCountForHubtagMax2h
video_hub: 347
The number of SKIP reactions of the user on TEG with half-life 2 hours
|
UserBoredReactionCountForGenreMax2h
video_hub: 348
The number of bored-reactions of the user in genre with half-life 2 hours
|
UserBoredReactionCountForHubtagMax2h
video_hub: 349
The number of bored-reaction user for TEG with half-life 2 hours
|
UserHeartReactionCountForGenreMax8h
video_hub: 350
The number of the user of the user in the genre with half-life 8 hours
|
UserHeartReactionCountForHubtagMax8h
video_hub: 351
The number of the user's Heart reaction of TEG with half-life 8 hours
|
UserSkipReactionCountForGenreMax8h
video_hub: 352
The number of SKIP reactions of the user in genre with half-life 8 hours
|
UserSkipReactionCountForHubtagMax8h
video_hub: 353
The number of SKIP reactions of the user on TEG with half-life 8 hours
|
UserBoredReactionCountForGenreMax8h
video_hub: 354
The number of bored-reactions of the user in genre with half-life 8 hours
|
UserBoredReactionCountForHubtagMax8h
video_hub: 355
The number of bored-reaction user for TEG with half-life 8 hours
|
UserEtherTVTForHubTagDotProduct
video_hub: 356
TVT amount for tags of a document on etheric logs
|
UserEtherTVTForHubTagDotProduct30d
video_hub: 357
The amount of TVT for the tags of the document on etheric logs, half -life 30 days
|
UserEtherTVTForHubTagDotProduct7d
video_hub: 358
TVT amount for tags of a document on etheric logs, half -life 7 days
|
UserEtherTVTForHubTagDotProduct8h
video_hub: 359
TVT amount for tags of a document on etheric logs, half -life 8 hours
|
UserEtherTVTForHubTagDotProduct2h
video_hub: 360
TVT amount for tags of a document on etheric logs, half -life 2 hours
|
UserEtherLVTForHubTagDotProduct
video_hub: 361
LVT amount for tags of a document on etheric logs
|
UserEtherLVTForHubTagDotProduct30d
video_hub: 362
LVT amount for tags of a document on etheric logs, half -life 30 days
|
UserEtherLVTForHubTagDotProduct7d
video_hub: 363
The amount of LVT for tags of the document on etheric logs, half -life 7 days
|
UserEtherLVTForHubTagDotProduct8h
video_hub: 364
LVT amount for tags of a document on etheric logs, half -life 8 hours
|
UserEtherLVTForHubTagDotProduct2h
video_hub: 365
LVT amount for tags of a document on etheric logs, half -life 2 hours
|
UserSearchTVTForHubTagDotProduct
video_hub: 366
TVT amount for tags of a document on etheric logs
|
UserSearchTVTForHubTagDotProduct30d
video_hub: 367
The amount of TVT for the tags of the document on etheric logs, half -life 30 days
|
UserSearchTVTForHubTagDotProduct7d
video_hub: 368
TVT amount for tags of a document on etheric logs, half -life 7 days
|
UserSearchTVTForHubTagDotProduct8h
video_hub: 369
TVT amount for tags of a document on etheric logs, half -life 8 hours
|
UserSearchTVTForHubTagDotProduct2h
video_hub: 370
TVT amount for tags of a document on etheric logs, half -life 2 hours
|
UserSearchLVTForHubTagDotProduct
video_hub: 371
LVT amount for tags of a document on etheric logs
|
UserSearchLVTForHubTagDotProduct30d
video_hub: 372
LVT amount for tags of a document on etheric logs, half -life 30 days
|
UserSearchLVTForHubTagDotProduct7d
video_hub: 373
The amount of LVT for tags of the document on etheric logs, half -roof 7 days
|
UserSearchLVTForHubTagDotProduct8h
video_hub: 374
LVT amount for tags of a document on etheric logs, half -life 8 hours
|
UserSearchLVTForHubTagDotProduct2h
video_hub: 375
LVT amount for tags of a document on etheric logs, half -life 2 hours
|
UserSpyTVTForHubTagDotProduct
video_hub: 376
TVT amount for tags of a document on browser logs
|
UserSpyTVTForHubTagDotProduct30d
video_hub: 377
The amount of TVT for tags of the document on browser logs, half -life 30 days
|
UserSpyTVTForHubTagDotProduct7d
video_hub: 378
TVT amount for tags of a document on browser logs, half -life 7 days
|
UserSpyTVTForHubTagDotProduct8h
video_hub: 379
TVT amount for tags of a document on browser logs, half -life 8 hours
|
UserSpyTVTForHubTagDotProduct2h
video_hub: 380
TVT amount for tags of a document on browser logs, half -life 2 hours
|
UserSpyLVTForHubTagDotProduct
video_hub: 381
TVT amount for tags of a document on browser logs
|
UserSpyLVTForHubTagDotProduct30d
video_hub: 382
The amount of TVT for tags of the document on browser logs, half -life 30 days
|
UserSpyLVTForHubTagDotProduct7d
video_hub: 383
TVT amount for tags of a document on browser logs, half -life 7 days
|
UserSpyLVTForHubTagDotProduct8h
video_hub: 384
TVT amount for tags of a document on browser logs, half -life 8 hours
|
UserSpyLVTForHubTagDotProduct2h
video_hub: 385
TVT amount for tags of a document on browser logs, half -life 2 hours
|
VhsHistoryDssmScore
video_hub: 386
DOT Product of the EMBEDINGS of the Document and User (PN_VHS#ET_HISTORY_DSSM)
|
VhsUser2DocScoreV1
video_hub: 387
DOT Product of the EMBEDINGS of the Document and User (PN_VHS#ET_USER_2_DOC), V1
|
VhsUser2DocLikeScoreV1
video_hub: 388
DOT Product of the EMBEDINGS of the Document and User (PN_VHS#ET_USER_2_DOC_LIKE), V1
|
VhsUser2DocDislikeScoreV1
video_hub: 389
DOT Product of the EMBEDINGS of the Document and User (PN_VHS#ET_USER_2_DOC_DISLIKE), V1
|
UserDssmVideoDcDocSumOrtho1d
video_hub: 390
The proximity of the document to the sum of the emblems of deeply viewed documents, half -life - 1 day
|
UserDssmVideoDcDocSumOrtho7d
video_hub: 391
The proximity of the document to the sum of the emobeddings of deeply viewed documents, half -life - 7 days
|
UserDssmVideoDcDocSumOrtho30d
video_hub: 392
The proximity of the document to the sum of the emblems of deeply viewed documents, half -life - 30 days
|
UserDssmWebDtDocSumOrtho1d
video_hub: 393
The proximity of the document to the sum of the user's search queries, half -life - 1 day
|
UserDssmWebDtDocSumOrtho7d
video_hub: 394
The proximity of the document to the sum of the emobeddings of deeply viewed documents, half -life - 7 days
|
UserDssmWebDtDocSumOrtho30d
video_hub: 395
The proximity of the document to the sum of the emblems of deeply viewed documents, half -life - 30 days
|
UserDssmVideoDcQueriesSumOrtho1d
video_hub: 396
The proximity of the document to the sum of the user's search queries, half -life - 1 day
|
UserDssmVideoDcQueriesSumOrtho7d
video_hub: 397
The proximity of the document to the sum of the user's search queries, half -life - 7 days
|
UserDssmVideoDcQueriesSumOrtho30d
video_hub: 398
The proximity of the document to the sum of the user's search queries, half -life - 30 days
|
UserDssmWebDtQueriesSumOrtho1d
video_hub: 399
The proximity of the document to the sum of the user's search queries, half -life - 1 day
|
UserDssmWebDtQueriesSumOrtho7d
video_hub: 400
The proximity of the document to the sum of the user's search queries, half -life - 7 days
|
UserDssmWebDtQueriesSumOrtho30d
video_hub: 401
The proximity of the document to the sum of the user's search queries, half -life - 30 days
|
VideoCFSharpScore
video_hub: 402
DOT Product between CF# user and document embeditions
|
MusicLikeCountForHubtagMax
video_hub: 403
The maximum number of user likes among the document tags
|
MusicDislikeCountForHubtagMax
video_hub: 404
The maximum number of user dizlash among document tags
|
MusicLikeCountForHubtagMax30d
video_hub: 405
The maximum number of user's likes among the tags of the document in 30 days
|
MusicDislikeCountForHubtagMax30d
video_hub: 406
The maximum number of user dizlash among the document tags in 30 days
|
MusicLikeCountForHubtagMax7d
video_hub: 407
The maximum number of user likes among the tags of the document in 7 days
|
MusicDislikeCountForHubtagMax7d
video_hub: 408
The maximum number of user dizlash among the document tags in 7 days
|
MusicLikeCountForHubtagMax8h
video_hub: 409
The maximum number of user's likes among the tags of the document in 8 hours
|
MusicDislikeCountForHubtagMax8h
video_hub: 410
The maximum number of user dizlash among the document tags in 8 hours
|
MusicLikeCountForHubtagMax2h
video_hub: 411
The maximum number of user's likes among the document tags in 2 hours
|
MusicDislikeCountForHubtagMax2h
video_hub: 412
The maximum number of user dizlash among the document tags in 2 hours
|
MusicLikeCountForHubtagSum
video_hub: 413
The total number of user likes by the document tags
|
MusicDislikeCountForHubtagSum
video_hub: 414
The total number of user dyslaists by tags of the document
|
MusicLikeCountForHubtagSum30d
video_hub: 415
The total number of user's likes by tags of the document in 30 days
|
MusicDislikeCountForHubtagSum30d
video_hub: 416
The total number of user dyslaists by tags of the document in 30 days
|
MusicLikeCountForHubtagSum7d
video_hub: 417
The total number of user's likes by tags of the document in 7 days
|
MusicDislikeCountForHubtagSum7d
video_hub: 418
The total number of user dyslaists by tags of the document in 7 days
|
MusicLikeCountForHubtagSum8h
video_hub: 419
The total number of user flows by tags of the document in 8 hours
|
MusicDislikeCountForHubtagSum8h
video_hub: 420
The total number of user dyslaists by tags of the document in 8 hours
|
MusicLikeCountForHubtagSum2h
video_hub: 421
The total number of user flows by tags of the document in 2 hours
|
MusicDislikeCountForHubtagSum2h
video_hub: 422
The total number of user dyslaists by tags of the document in 2 hours
|
VhsUser2DocClickScore
video_hub: 423
DOT Product of the EMBEDINGS of the Document and User (PN_VHS#ET_USER_2_DOC_CLick)
|
VhsUserClosedTagDoc
video_hub: 424
Is the carousel closed by the user in which the document lies
|
VhsUserSubscribedTagDoc
video_hub: 425
Whether the user was signed for the carousel in which the document lies
|
UserSearchTVTForHubTagMin
video_hub: 426
TNAM TNAT TVT for search logs tag
|
UserSearchTVTForHubTagMin30d
video_hub: 427
The smallest tvt for a search engine tag, half -life 30 days
|
UserSearchTVTForHubTagMin7d
video_hub: 428
The smallest tvt for a search engine tag, half -life 7 days
|
UserSearchTVTForHubTagMin8h
video_hub: 429
The smallest tvt for a search engine tag, half -life 8 hours
|
UserSearchTVTForHubTagMin2h
video_hub: 430
The smallest tvt for a search engine tag, half -life 2 hours
|
UserSearchLVTForHubTagMin
video_hub: 431
The smallest LVT for search logs tag
|
UserSearchLVTForHubTagMin30d
video_hub: 432
The smallest LVT for a search engine tag, half -life 30 days
|
UserSearchLVTForHubTagMin7d
video_hub: 433
The smallest LVT for a search engine tag, half -life 7 days
|
UserSearchLVTForHubTagMin8h
video_hub: 434
The smallest LVT for a search engine tag, half -life 8 hours
|
UserSearchLVTForHubTagMin2h
video_hub: 435
The smallest LVT for a search engine tag, half -life 2 hours
|
UserSpyTVTForHubTagMin
video_hub: 436
The smallest tvt for a tag on browser logs
|
UserSpyTVTForHubTagMin30d
video_hub: 437
The smallest tvt for a tag on browser logs, half -life 30 days
|
UserSpyTVTForHubTagMin7d
video_hub: 438
The smallest tvt for a tag on browser logs, half -life 7 days
|
UserSpyTVTForHubTagMin8h
video_hub: 439
The smallest tvt for a tag on browser logs, half -life 8 hours
|
UserSpyTVTForHubTagMin2h
video_hub: 440
The smallest tvt for a tag on browser logs, half -life 2 hours
|
UserSpyLVTForHubTagMin
video_hub: 441
The smallest LVT for a tag on browser logs
|
UserSpyLVTForHubTagMin30d
video_hub: 442
The smallest LVT for a tag on browser logs, half -life 30 days
|
UserSpyLVTForHubTagMin7d
video_hub: 443
The smallest LVT for a tag on browser logs, half -life 7 days
|
UserSpyLVTForHubTagMin8h
video_hub: 444
The smallest LVT for a tag on browser logs, half -life 8 hours
|
UserSpyLVTForHubTagMin2h
video_hub: 445
The smallest LVT for a tag on browser logs, half -life 2 hours
|
UserEtherTVTForHubTagMin
video_hub: 446
The smallest tvt for a tag on etheric logs
|
UserEtherTVTForHubTagMin30d
video_hub: 447
The smallest tvt for a tag on etheric logs, half -life 30 days
|
UserEtherTVTForHubTagMin7d
video_hub: 448
The smallest tvt for a tag on etheric logs, half -life 7 days
|
UserEtherTVTForHubTagMin8h
video_hub: 449
The smallest tvt for a tag on etheric logs, half -life 8 hours
|
UserEtherTVTForHubTagMin2h
video_hub: 450
The smallest tvt for a tag on etheric logs, half -life 2 hours
|
UserEtherLVTForHubTagMin
video_hub: 451
The smallest LVT for a tag on etheric logs
|
UserEtherLVTForHubTagMin30d
video_hub: 452
The smallest LVT for a tag on etheric logs, half -life 30 days
|
UserEtherLVTForHubTagMin7d
video_hub: 453
The smallest LVT for a tag on etheric logs, half -life 7 days
|
UserEtherLVTForHubTagMin8h
video_hub: 454
The smallest LVT for a tag on etheric logs, half -life 8 hours
|
UserEtherLVTForHubTagMin2h
video_hub: 455
The smallest LVT for a tag on etheric logs, half -life 2 hours
|
UserLikeReactionCountForHubtagMin
video_hub: 456
The smallest number of Like-reactions of the user on TEG
|
UserLikeReactionCountForHubtagMin30d
video_hub: 457
The smallest number of Like-reaction user on TEG with half-life 30 days
|
UserLikeReactionCountForHubtagMin7d
video_hub: 458
The smallest number of LIKE reaction user on TEG with half-life 7 days
|
UserLikeReactionCountForHubtagMin8h
video_hub: 459
The smallest number of LIKE reaction user on TEG with half-life 8 hours
|
UserLikeReactionCountForHubtagMin2h
video_hub: 460
The smallest number of Like-reaction user on TEG with half-life 2 hours
|
UserDislikeReactionCountForHubtagMin
video_hub: 461
The smallest number of Dislike reaction of the user on TEGU
|
UserDislikeReactionCountForHubtagMin30d
video_hub: 462
The smallest number of Dislike reactions for the user on TEG with half-life 30 days
|
UserDislikeReactionCountForHubtagMin7d
video_hub: 463
The smallest number of Dislike reactions for TEGU with half-life 7 days
|
UserDislikeReactionCountForHubtagMin8h
video_hub: 464
The smallest number of Dislike reactions for TEGU with half-life 8 hours
|
UserDislikeReactionCountForHubtagMin2h
video_hub: 465
The smallest number of Dislike reactions for the user on TEG with half-life 2 hours
|
UserSearchTVTForBlogger
video_hub: 466
TVT user in the BLOGGER Super Tagger
|
UserSearchTVTForBlogger2h
video_hub: 467
TVT user in the BLOGGER Super Tagger
|
UserSearchTVTForBlogger8h
video_hub: 468
TVT user in the BLOGGER Super Tagger
|
UserSearchTVTForBlogger7d
video_hub: 469
TVT user in the BLOGGER Super Tagger
|
UserSearchTVTForBlogger30d
video_hub: 470
TVT user in the BLOGGER Super Tagger
|
UserSearchTVTForMovie
video_hub: 471
TVT user on the superothega Movie
|
UserSearchTVTForMovie2h
video_hub: 472
TVT user on the superothega Movie
|
UserSearchTVTForMovie8h
video_hub: 473
TVT user on the superothega Movie
|
UserSearchTVTForMovie7d
video_hub: 474
TVT user on the superothega Movie
|
UserSearchTVTForMovie30d
video_hub: 475
TVT user on the superothega Movie
|
UserSearchTVTForSeries
video_hub: 476
TVT user Super Tag Series
|
UserSearchTVTForSeries2h
video_hub: 477
TVT user Super Tag Series
|
UserSearchTVTForSeries8h
video_hub: 478
TVT user Super Tag Series
|
UserSearchTVTForSeries7d
video_hub: 479
TVT user Super Tag Series
|
UserSearchTVTForSeries30d
video_hub: 480
TVT user Super Tag Series
|
UserTVOnlinePlayerTVTForBlogger
video_hub: 481
TVT user in the BLOGGER Super Tagger
|
UserTVOnlinePlayerTVTForBlogger2h
video_hub: 482
TVT user in the BLOGGER Super Tagger
|
UserTVOnlinePlayerTVTForBlogger8h
video_hub: 483
TVT user in the BLOGGER Super Tagger
|
UserTVOnlinePlayerTVTForBlogger7d
video_hub: 484
TVT user in the BLOGGER Super Tagger
|
UserTVOnlinePlayerTVTForBlogger30d
video_hub: 485
TVT user in the BLOGGER Super Tagger
|
UserTVOnlinePlayerTVTForMovie
video_hub: 486
TVT user on the superothega Movie
|
UserTVOnlinePlayerTVTForMovie2h
video_hub: 487
TVT user on the superothega Movie
|
UserTVOnlinePlayerTVTForMovie8h
video_hub: 488
TVT user on the superothega Movie
|
UserTVOnlinePlayerTVTForMovie7d
video_hub: 489
TVT user on the superothega Movie
|
UserTVOnlinePlayerTVTForMovie30d
video_hub: 490
TVT user on the superothega Movie
|
UserTVOnlinePlayerTVTForSeries
video_hub: 491
TVT user Super Tag Series
|
UserTVOnlinePlayerTVTForSeries2h
video_hub: 492
TVT user Super Tag Series
|
UserTVOnlinePlayerTVTForSeries8h
video_hub: 493
TVT user Super Tag Series
|
UserTVOnlinePlayerTVTForSeries7d
video_hub: 494
TVT user Super Tag Series
|
UserTVOnlinePlayerTVTForSeries30d
video_hub: 495
TVT user Super Tag Series
|
UserSearchLVTForBlogger
video_hub: 496
LVT user in the BLOGGER Super Tagger
|
UserSearchLVTForBlogger2h
video_hub: 497
LVT user in the BLOGGER Super Tagger
|
UserSearchLVTForBlogger8h
video_hub: 498
LVT user in the BLOGGER Super Tagger
|
UserSearchLVTForBlogger7d
video_hub: 499
LVT user in the BLOGGER Super Tagger
|
UserSearchLVTForBlogger30d
video_hub: 500
LVT user in the BLOGGER Super Tagger
|
UserSearchLVTForMovie
video_hub: 501
LVT user Movie Super Tag
|
UserSearchLVTForMovie2h
video_hub: 502
LVT user Movie Super Tag
|
UserSearchLVTForMovie8h
video_hub: 503
LVT user Movie Super Tag
|
UserSearchLVTForMovie7d
video_hub: 504
LVT user Movie Super Tag
|
UserSearchLVTForMovie30d
video_hub: 505
LVT user Movie Super Tag
|
UserSearchLVTForSeries
video_hub: 506
LVT user Super Tag Series
|
UserSearchLVTForSeries2h
video_hub: 507
LVT user Super Tag Series
|
UserSearchLVTForSeries8h
video_hub: 508
LVT user Super Tag Series
|
UserSearchLVTForSeries7d
video_hub: 509
LVT user Super Tag Series
|
UserSearchLVTForSeries30d
video_hub: 510
LVT user Super Tag Series
|
UserTVOnlinePlayerLVTForBlogger
video_hub: 511
LVT user in the BLOGGER Super Tagger
|
UserTVOnlinePlayerLVTForBlogger2h
video_hub: 512
LVT user in the BLOGGER Super Tagger
|
UserTVOnlinePlayerLVTForBlogger8h
video_hub: 513
LVT user in the BLOGGER Super Tagger
|
UserTVOnlinePlayerLVTForBlogger7d
video_hub: 514
LVT user in the BLOGGER Super Tagger
|
UserTVOnlinePlayerLVTForBlogger30d
video_hub: 515
LVT user in the BLOGGER Super Tagger
|
UserTVOnlinePlayerLVTForMovie
video_hub: 516
LVT user Movie Super Tag
|
UserTVOnlinePlayerLVTForMovie2h
video_hub: 517
LVT user Movie Super Tag
|
UserTVOnlinePlayerLVTForMovie8h
video_hub: 518
LVT user Movie Super Tag
|
UserTVOnlinePlayerLVTForMovie7d
video_hub: 519
LVT user Movie Super Tag
|
UserTVOnlinePlayerLVTForMovie30d
video_hub: 520
LVT user Movie Super Tag
|
UserTVOnlinePlayerLVTForSeries
video_hub: 521
LVT user Super Tag Series
|
UserTVOnlinePlayerLVTForSeries2h
video_hub: 522
LVT user Super Tag Series
|
UserTVOnlinePlayerLVTForSeries8h
video_hub: 523
LVT user Super Tag Series
|
UserTVOnlinePlayerLVTForSeries7d
video_hub: 524
LVT user Super Tag Series
|
UserTVOnlinePlayerLVTForSeries30d
video_hub: 525
LVT user Super Tag Series
|
DislikePrediction
video_hub: 526
The result of the dysloik classifier
|
UserLikeReactionCountForHubtagSum
video_hub: 527
The amount of Like-reactions of the user by tags
|
UserLikeReactionCountForHubtagSum30d
video_hub: 528
The amount of Like-reactions of the user in tags with half-life 30 days
|
UserLikeReactionCountForHubtagSum7d
video_hub: 529
The amount of Like-reactions of the user in tags with half-life 7 days
|
UserLikeReactionCountForHubtagSum8h
video_hub: 530
The amount of the user's LIKE-reactions for tags with half-life 8 hours
|
UserLikeReactionCountForHubtagSum2h
video_hub: 531
The amount of the user's LIKE-reactions for tags with half-life 2 hours
|
UserDislikeReactionCountForHubtagSum
video_hub: 532
The sum of the user's dislike reactions
|
UserDislikeReactionCountForHubtagSum30d
video_hub: 533
The sum of the user's Dislike reaction tags with half-life 30 days
|
UserDislikeReactionCountForHubtagSum7d
video_hub: 534
The amount of the user's Dislike reaction by tags with half-life 7 days
|
UserDislikeReactionCountForHubtagSum8h
video_hub: 535
The amount of the user's Dislike reaction by tags with half-life 8 hours
|
UserDislikeReactionCountForHubtagSum2h
video_hub: 536
The sum of the user's Dislike reactions for tags with half-life 2 hours
|
UserVideoPlusQuerySearchSumOrtho1d
video_hub: 537
The proximity of the user and the VPQ document on viewing on the video with half -life 1 day
|
UserVideoPlusQuerySearchSumOrtho7d
video_hub: 538
The proximity of the user and the VPQ document on viewing on the video with half -life 7 days
|
UserVideoPlusQuerySearchSumOrtho30d
video_hub: 539
The proximity of the user and the VPQ document on viewing on the video with half -life 30 days
|
UserVideoPlusQuerySpySumOrtho1d
video_hub: 540
The proximity of the user and the VPQ document on viewing in the browser with half -life 1 day
|
UserVideoPlusQuerySpySumOrtho7d
video_hub: 541
The proximity of the user and the VPQ document on viewing in the browser with half -life 7 days
|
UserVideoPlusQuerySpySumOrtho30d
video_hub: 542
The proximity of the user and the VPQ document on viewing in the browser with half -life 30 days
|
UserVideoPlusQueryTVOnlineSumOrtho1d
video_hub: 543
The proximity of the user and the VPQ document on viewing on video hosting with half -life 1 day
|
UserVideoPlusQueryTVOnlineSumOrtho7d
video_hub: 544
The proximity of the user and the VPQ document on viewing on video hosting with half -life 7 days
|
UserVideoPlusQueryTVOnlineSumOrtho30d
video_hub: 545
The proximity of the user and the VPQ document on viewing on video hosting with half -life 30 days
|
UserVideoPlusQueryV2SearchSumOrtho1d
video_hub: 546
The proximity of the user and the VPQ V2 document of embezzle on views on the video with half -life 1 day
|
UserVideoPlusQueryV2SearchSumOrtho7d
video_hub: 547
The proximity of the user and the VPQ V2 document of the Embeddings on Views on the video with half -life 7 days
|
UserVideoPlusQueryV2SearchSumOrtho30d
video_hub: 548
The proximity of the user and the VPQ V2 document of the Embeddings on views on the video with half -life 30 days
|
UserVideoPlusQueryV2SpySumOrtho1d
video_hub: 549
The proximity of the user and the VPQ V2 document for the Embeddings for views in the browser with half -life 1 day
|
UserVideoPlusQueryV2SpySumOrtho7d
video_hub: 550
The proximity of the user and the VPQ v2 document for the viewing in the browser with half -life 7 days
|
UserVideoPlusQueryV2SpySumOrtho30d
video_hub: 551
The proximity of the user and the VPQ v2 document for the viewing in the browser with half -life 30 days
|
UserVideoPlusQueryV2TVOnlineSumOrtho1d
video_hub: 552
The proximity of the user and the VPQ v2 document for embezzlement on views on video hosting with half -life 1 day
|
UserVideoPlusQueryV2TVOnlineSumOrtho7d
video_hub: 553
The proximity of the user and the VPQ v2 document for enameling on video hosting with half -life 7 days
|
UserVideoPlusQueryV2TVOnlineSumOrtho30d
video_hub: 554
The proximity of the user and the VPQ v2 document for enameling on video hosting with half -life 30 days
|
VhsDocIsBlogger
video_hub: 555
Is the document a blogger document
|
VhsDocIsMovie
video_hub: 556
Is the document a movie
|
VhsDocIsSeries
video_hub: 557
Is the document a series
|
VhsDocIsMusic
video_hub: 558
Is the document music
|
WebReformulationDssmSearchSum1d
video_hub: 559
The cosine distance between the user and the web_refurmulation_dssm document with half -life 1 day on Search logs
|
WebReformulationDssmSearchSum7d
video_hub: 560
The cosine distance between the user and the web_refurmulation_dssm document with half -life 7 days on Search logs
|
WebReformulationDssmSearchSum30d
video_hub: 561
The cosine distance between the user and the web_refurmulation_dssm document with half -life 30 days on Search logs
|
WebReformulationDssmSpySum1d
video_hub: 562
The cosine distance between the user and the web_refurmulation_dssm document with half -life 1 day on Spy logs
|
WebReformulationDssmSpySum7d
video_hub: 563
The cosine distance between the user and the web_refurmulation_dssm document with half -life 7 days on spy logs
|
WebReformulationDssmSpySum30d
video_hub: 564
The cosine distance between the user and the web_refurmulation_dssm document with half -life 30 days on Spy Logs
|
WebReformulationDssmTvOnlineSum1d
video_hub: 565
The cosine distance between the user and the web_refurmulation_dssm document with half -life 1 day on TV online logs
|
WebReformulationDssmTvOnlineSum7d
video_hub: 566
The cosine distance between the user and the web_refurmulation_dssm document with half -life 7 days on TV online logs
|
WebReformulationDssmTvOnlineSum30d
video_hub: 567
The cosine distance between the user and the web_refurmulation_dssm document with half -life 30 days on TV online logs
|
VideoReformulationDssmSearchSum1d
video_hub: 568
The cosine distance between the user and the VIDEO_REFURMOLATION_DSSM document with half -life 1 day on Search logs
|
VideoReformulationDssmSearchSum7d
video_hub: 569
The cosine distance between the user and the VIDEO_REFURMOLATION_DSSM document with a half -life of 7 days on Search logs
|
VideoReformulationDssmSearchSum30d
video_hub: 570
The cosine distance between the user and the Video_refurmulation_DSSM document with a half -life of 30 devices on Search logs
|
VideoReformulationDssmSpySum1d
video_hub: 571
The cosine distance between the user and the document for Video_refurmulation_DSSM with half -life 1 day on Spy logs
|
VideoReformulationDssmSpySum7d
video_hub: 572
The cosine distance between the user and the Video_refurmulation_DSSM document with half -life 7 days on spy logs
|
VideoReformulationDssmSpySum30d
video_hub: 573
The cosine distance between the user and the Video_refurmulation_DSSM document with a half -life of 30 days on Spy Logs
|
VideoReformulationDssmTvOnlineSum1d
video_hub: 574
The cosine distance between the user and the Video_refurmulation_DSSM document with half -life 1 day on TV online logs
|
VideoReformulationDssmTvOnlineSum7d
video_hub: 575
The cosine distance between the user and the Video_refurmulation_DSSM document with half -life 7 days on TV online logs
|
VideoReformulationDssmTvOnlineSum30d
video_hub: 576
The cosine distance between the user and the Video_refurmulation_DSSM document with a half -life of 30 days on TV online logs
|
VhsDocCategCount
video_hub: 577
The number of document tags
|
Top3MixedShowCount2h
video_hub: 578
How many times this document showed this user in the top 3 mixed with half -life 2 hours
|
Top3MixedShowCount1d
video_hub: 579
How many times this document showed this user in the top 3 mixed with half -life 1 day
|
Top3MixedShowCount3d
video_hub: 580
How many times this document showed this user in the TOP 3 mixed with half -life 3 days
|
Top5MixedShowCount2h
video_hub: 581
How many times this document showed this user in the TOP 5 mixed with half -life 2 hours
|
Top5MixedShowCount1d
video_hub: 582
How many times this document showed this user in the TOP 5 mixed with half -life 1 day
|
Top5MixedShowCount3d
video_hub: 583
How many times this document showed this user in the TOP 5 mixed with half -life 3 days
|
Top10MixedShowCount2h
video_hub: 584
How many times this document showed this user in the TOP 10 mixed with half -life 2 hours
|
Top10MixedShowCount1d
video_hub: 585
How many times this document showed this user in the TOP 10 mixed with half -life 1 day
|
Top10MixedShowCount3d
video_hub: 586
How many times this document showed this user in the TOP 10 mixed with half -life 3 days
|
Top3MixedClickCount2h
video_hub: 587
How many times the user clicked on this document in the TOP 3 mixed with half -life 2 hours
|
Top3MixedClickCount1d
video_hub: 588
How many times the user clicked on this document in the top 3 mixed with half -life 1 day
|
Top3MixedClickCount3d
video_hub: 589
How many times the user clicked on this document in the TOP 3 mixed with half -life 3 days
|
Top5MixedClickCount2h
video_hub: 590
How many times the user clicked on this document in the top 5 mixed with half -life 2 hours
|
Top5MixedClickCount1d
video_hub: 591
How many times the user clicked on this document in the TOP 5 mixed with half -life 1 day
|
Top5MixedClickCount3d
video_hub: 592
How many times the user clicked on this document in the top 5 mixed with half -life 3 days
|
Top10MixedClickCount2h
video_hub: 593
How many times the user clicked on this document in the TOP 10 mixed with half -life 2 hours
|
Top10MixedClickCount1d
video_hub: 594
How many times the user clicked on this document in the TOP 10 mixed with half -life 1 day
|
Top10MixedClickCount3d
video_hub: 595
How many times the user clicked on this document in the TOP 10 mixed with half -life 3 days
|
VhsHistoryDssmScoreV1
video_hub: 597
DOT Product of the EMBEDDINGS of the Document and User (PN_VHS#ET_HISTORY_DSSM version 1)
|
VhsUser2DocSkipScore
video_hub: 598
DOT Product of the EMBEDINGS of the Document and User (PN_VHS#ET_USER_2_DOC_SKIP)
|
VhsUserHasYaPlus
video_hub: 599
The presence of a subscription Yandex+ user
|
VhsUserHasYaPlus3M
video_hub: 600
The presence of a three -month subscription Yandex+ user
|
VhsUserHasKpBasic
video_hub: 601
The availability of a user's movie
|
VhsUserHasYaPremium
video_hub: 602
The presence of a cinema post+amedias from the user
|
VhsDocIsYaPlus
video_hub: 603
The availability of the Yandex+ subscription document
|
VhsDocIsYaPlus3M
video_hub: 604
The availability of a document on a three -month subscription Yandex+
|
VhsDocIsKpBasic
video_hub: 605
Accessibility of the document on the cinema subscription
|
VhsDocIsYaPremium
video_hub: 606
Availability of a document on the cinema -POSISK+Amediatek
|
VhsDocIsSubscriptionOnly
video_hub: 607
Availability of a document without subscription
|
VhsUserHasDocSubscription
video_hub: 608
The presence of a user subscription by which you can see the document
|
VhsUserCanWatchDoc
video_hub: 609
The accessibility of the document to the user
|
VhsUser2DocFirstHeartbeatScore
video_hub: 610
DOT Product of the EMBEDINGS of the Document and User (PN_VHS#ET_USER_2_DOC_FIRST_HEARTBEAT)
|
VhsHistoryDssmFirstHeartbeatScore
video_hub: 611
DOT Product of the EMBEDDINGS of the Document and User (PN_VHS#ET_HISTORY_DSSM_FIRST_HEARTBEAT)
|
VhsHistoryDssmFirstHeartbeatScoreV1
video_hub: 612
DOT Product of the EMBEDINGS of the Document and User (PN_VHS#ET_HISTORY_DSSM_FIRST_HEARTBEAT version 1)
|
VhsHistoryDssmLikeScore
video_hub: 613
DOT Product History Embeddings of the Document and User (pn_vhs#et_history_dssm_like)
|
VhsHistoryDssmLikeScoreV1
video_hub: 614
DOT Product History Embeddings of the Document and User (pn_vhs#et_history_dssm_like)
|
VhsHistoryDssmDislikeScore
video_hub: 615
DOT Product History Embeddings of the Document and User (pn_vhs#et_history_dssm_dislike)
|
VhsHistoryDssmDislikeScoreV1
video_hub: 616
DOT Product History Embeddings of the Document and User (pn_vhs#et_history_dssm_dislike)
|
VhsHistoryDssmSkipScore
video_hub: 617
DOT Product History Embeddings of the Document and User (pn_vhs#et_history_dssm_skip)
|
VhsHistoryDssmSkipScoreV1
video_hub: 618
DOT Product History Embeddings of the Document and User (pn_vhs#et_history_dssm_skip)
|
VhsHistoryDssmClickScore
video_hub: 619
DOT Product History Embeddings of the Document and User (pn_vhs#et_history_dssm_click)
|
VhsHistoryDssmClickScoreV1
video_hub: 620
DOT Product History Embeddings of the Document and User (pn_vhs#et_history_dssm_click)
|
VideoCFSharpScoreV1
video_hub: 621
DOT Product between CF# Embasses of the User and Document (for a cold start, the average user embelarment is used)
|
VhsDocIsDoc2DocCandidateForUser
video_hub: 624
The document was added as a candidate from the dock2dok to a viewed document
|
UserLikeCountForAuthorId
video_hub: 625
The number of Like-reactions of the user by author
|
UserLikeCountForAuthorId30d
video_hub: 626
The number of Like-reaction of the user by the author, with attenuation of 30 days
|
UserLikeCountForAuthorId7d
video_hub: 627
The number of Like-reaction of the user by the author, with attenuation of 7 days
|
UserLikeCountForAuthorId8h
video_hub: 628
The number of the user's Like reaction by the author, with an attenuation of 8 hours
|
UserLikeCountForAuthorId2h
video_hub: 629
The number of the user's LIKE reaction by the author, with attenuation of 2 hours
|
UserDislikeCountForAuthorId
video_hub: 630
The number of the user's Dislike reactions by the author
|
UserDislikeCountForAuthorId30d
video_hub: 631
The number of the user's Dislike reaction, with attenuation of 30 days
|
UserDislikeCountForAuthorId7d
video_hub: 632
The number of the user's Dislike reaction by the author, with an attenuation of 7 days
|
UserDislikeCountForAuthorId8h
video_hub: 633
The number of the user's Dislike reaction by the author, with an attenuation of 8 hours
|
UserDislikeCountForAuthorId2h
video_hub: 634
The number of the user's Dislike reaction by the author, with an attenuation of 2 hours
|
UserTVOnlineTVTForAuthorId
video_hub: 635
TVT of the author of the document user on etheric logs
|
UserTVOnlineTVTForAuthorId30d
video_hub: 636
TVT of the author of the document user on etheric logs, half -life 30 days
|
UserTVOnlineTVTForAuthorId7d
video_hub: 637
TVT of the author of the document user on etheric logs, half -life 7 days
|
UserTVOnlineTVTForAuthorId8h
video_hub: 638
TVT of the author of the document user on etheric logs, half -life 8 hours
|
UserTVOnlineTVTForAuthorId2h
video_hub: 639
TVT of the author of the document user on etheric logs, half -life 2 hours
|
UserSearchTVTForAuthorId
video_hub: 640
TVT of the author of the document user on search logs
|
UserSearchTVTForAuthorId30d
video_hub: 641
TVT of the author of the document user on search logs, half -life 30 days
|
UserSearchTVTForAuthorId7d
video_hub: 642
TVT of the author of the document user for search logs, half -life 7 days
|
UserSearchTVTForAuthorId8h
video_hub: 643
TVT of the author of the document user on search logs, half -life 8 hours
|
UserSearchTVTForAuthorId2h
video_hub: 644
TVT of the author of the document user on search logs, half -life 2 hours
|
UserSpyTVTForAuthorId
video_hub: 645
TVT of the author of the document user for spy logs
|
UserSpyTVTForAuthorId30d
video_hub: 646
TVT of the author of the document user for Spy Logg, half -life 30 days
|
UserSpyTVTForAuthorId7d
video_hub: 647
TVT of the author of the document user for spy logs, half -life 7 days
|
UserSpyTVTForAuthorId8h
video_hub: 648
TVT of the author of the document user for spy logs, half -life 8 hours
|
UserSpyTVTForAuthorId2h
video_hub: 649
TVT of the author of the document user for spy logs, half -life 2 hours
|
UserSkipCountForAuthorId
video_hub: 650
The number of SKIP reactions of the user by author
|
UserSkipCountForAuthorId30d
video_hub: 651
The number of SKIP reactions of the user by the author, with attenuation of 30 days
|
UserSkipCountForAuthorId7d
video_hub: 652
The number of SKIP reactions of the user by the author, with attenuation of 7 days
|
UserSkipCountForAuthorId8h
video_hub: 653
The number of SKIP reactions of the user by the author, with attenuation of 8 hours
|
UserSkipCountForAuthorId2h
video_hub: 654
The number of SKIP reactions of the user by the author, with attenuation of 2 hours
|
CryptaEmbeddingsSimilarity
video_hub: 655
The proximity of the user and document embezzle crypto
|
CryptaEmbeddingsSimilarity30d
video_hub: 656
The proximity of the user's crypto-embens and a document with 30 day attenuation
|
CryptaEmbeddingsSimilarity7d
video_hub: 657
The proximity of the user's crypto-embegins and a document with 7 daily attenuation
|
UserEtherDiscountedTVTForHubtagMin
video_hub: 692
The smallest time of the view of the tag, divided into logarithm tvt tag
|
UserEtherDiscountedTVTForHubtagMin30d
video_hub: 693
The smallest time of the Tag Tag Logarithm Logarithm is half -watering 30 days
|
UserEtherDiscountedTVTForHubtagMin7d
video_hub: 694
The smallest time of the Tag Tag Logarithm Logarithm is half -watering 7 days
|
UserEtherDiscountedTVTForHubtagMax
video_hub: 695
The largest time tag -tag tags
|
UserEtherDiscountedTVTForHubtagMax30d
video_hub: 696
The largest time tag -divided into a tvt tag logic is half -life 30 days
|
UserEtherDiscountedTVTForHubtagMax7d
video_hub: 697
The largest time tag -divided into a tvt tag logic is half -watering 7 days
|
UserEtherDiscountedTVTForHubtagSum
video_hub: 698
The total time of the viewing tag is divided into logarithm tvt tag
|
UserEtherDiscountedTVTForHubtagSum30d
video_hub: 699
The total time of the tag watching into the tvt tag logarithm is half -life 30 days
|
UserEtherDiscountedTVTForHubtagSum7d
video_hub: 700
The total time of the tag watching into the tvt tag logarithm is half -life 7 days
|
Top3RecommendationViewCount2h
video_hub: 701
How many times this document showed this user in the TOP 3 mixed on REQANS_SHOWS_1D with rt_sum_2h
|
Top3RecommendationViewCount1d
video_hub: 702
How many times this document shown to this user in the TOP 3 mixed on REQANS_SHOWS_1D with rt_sum_1d
|
Top3RecommendationViewCount3d
video_hub: 703
How many times this document showed this user in the TOP 3 mixed on REQANS_SHOWS_1D with rt_sum_3d
|
Top3RecommendationViewCount7d
video_hub: 704
How many times this document shown to this user in the TOP 3 mixed on REQANS_SHOWS_1D with rt_sum_7d
|
Top5RecommendationViewCount2h
video_hub: 705
How many times this document showed this user in the TOP 5 mixed on REQANS_SHOWS_1D with rt_sum_2h
|
Top5RecommendationViewCount1d
video_hub: 706
How many times this document shown to this user in the TOP 5 mixed on REQANS_SHOWS_1D with rt_sum_1d
|
Top5RecommendationViewCount3d
video_hub: 707
How many times this document showed this user in the TOP 5 mixed on REQANS_SHOWS_1D with rt_sum_3d
|
Top5RecommendationViewCount7d
video_hub: 708
How many times this document showed this user in the TOP 5 mixed on REQANS_SHOWS_1D with rt_sum_7d
|
Top10RecommendationViewCount2h
video_hub: 709
How many times this document showed this user in the TOP 10 mixed on REQANS_SHOWS_1D with rt_sum_2h
|
Top10RecommendationViewCount1d
video_hub: 710
How many times this document showed this user in the TOP 10 mixed on REQANS_SHOWS_1D with rt_sum_1d
|
Top10RecommendationViewCount3d
video_hub: 711
How many times this document showed this user in the TOP 10 mixed on REQANS_SHOWS_1D with rt_sum_3d
|
Top10RecommendationViewCount7d
video_hub: 712
How many times this document showed this user in the TOP 10 mixed on REQANS_SHOWS_1D with rt_sum_7d
|
UserLikeCountForRealActor
video_hub: 714
how many times the user like the documents with this actor
|
UserLikeCountForRealActor30d
video_hub: 715
how many times the user like the documents with this actor, with a fading of 30 days
|
UserLikeCountForRealActor7d
video_hub: 716
how many times the user like the documents with this actor, with a fading of 7 days
|
UserLikeCountForRealActor8h
video_hub: 717
how many times the user like the documents with this actor, with a fading of 8 hours
|
UserDislikeCountForRealActor
video_hub: 718
How many times the user dizulated with this actor
|
UserDislikeCountForRealActor30d
video_hub: 719
how many times the user dizulated the documents with this actor, with a fading of 30 days
|
UserDislikeCountForRealActor7d
video_hub: 720
how many times the user dizulated the documents with this actor, with fading 7 days
|
UserDislikeCountForRealActor8h
video_hub: 721
how many times the user dizulated the documents with this actor, with a fading of 8 hours
|
UserSkipCountForRealActor
video_hub: 722
how many times the user discouraged documents with this actor
|
UserSkipCountForRealActor30d
video_hub: 723
how many times the user discouraged documents with this actor, with a fading of 30 days
|
UserSkipCountForRealActor7d
video_hub: 724
how many times the user discouraged documents with this actor, with a fading of 7 days
|
UserSkipCountForRealActor8h
video_hub: 725
how many times the user discouraged documents with this actor, with a fading of 8 hours
|
UserLikeCountForRealDirector
video_hub: 726
how many times the user like the documents with this director
|
UserLikeCountForRealDirector30d
video_hub: 727
how many times the user like the documents with this director, with a fading of 30 days
|
UserLikeCountForRealDirector7d
video_hub: 728
how many times the user like the documents with this director, with a fading 7 days
|
UserLikeCountForRealDirector8h
video_hub: 729
how many times the user like the documents with this director, with a fading of 8 hours
|
UserDislikeCountForRealDirector
video_hub: 730
How many times the user dizulated with this director
|
UserDislikeCountForRealDirector30d
video_hub: 731
How many times the user dizulated with this director, with a fading of 30 days
|
UserDislikeCountForRealDirector7d
video_hub: 732
how many times the user dizulated the documents with this director, with fading 7 days
|
UserDislikeCountForRealDirector8h
video_hub: 733
How many times the user dizulated with this director, with a fading of 8 hours
|
UserSkipCountForRealDirector
video_hub: 734
how many times the user discouraged documents with this director
|
UserSkipCountForRealDirector30d
video_hub: 735
how many times the user discouraged documents with this director, with a fading of 30 days
|
UserSkipCountForRealDirector7d
video_hub: 736
how many times the user discouraged documents with this director, with a fading of 7 days
|
UserSkipCountForRealDirector8h
video_hub: 737
how many times the user discouraged documents with this director, with a fading of 8 hours
|
UserLikeCountForRealGenre
video_hub: 738
how many times the user like documents with this genre
|
UserLikeCountForRealGenre30d
video_hub: 739
how many times the user like documents with this genre, with a fading of 30 days
|
UserLikeCountForRealGenre7d
video_hub: 740
how many times the user like documents with this genre, with a fading 7 days
|
UserLikeCountForRealGenre8h
video_hub: 741
how many times the user like documents with this genre, with a fading of 8 hours
|
UserDislikeCountForRealGenre
video_hub: 742
how many times the user dizulated documents with this genre
|
UserDislikeCountForRealGenre30d
video_hub: 743
how many times the user dizulated documents with this genre, with a fading of 30 days
|
UserDislikeCountForRealGenre7d
video_hub: 744
how many times the user dizulated documents with this genre, with a fading of 7 days
|
UserDislikeCountForRealGenre8h
video_hub: 745
how many times the user dizulated the documents with this genre, with a fading of 8 hours
|
UserSkipCountForRealGenre
video_hub: 746
how many times the user discouraged documents with this genre
|
UserSkipCountForRealGenre30d
video_hub: 747
how many times the user discouraged documents with this genre, with a fading of 30 days
|
UserSkipCountForRealGenre7d
video_hub: 748
how many times the user discouraged documents with this genre, with a fading of 7 days
|
UserSkipCountForRealGenre8h
video_hub: 749
how many times the user discouraged documents with this genre, with a fading of 8 hours
|
UserLikeCountForRealOntoCountry
video_hub: 750
how many times the user like the documents removed in this country
|
UserLikeCountForRealOntoCountry30d
video_hub: 751
how many times the user like the documents removed in this country, with a fading of 30 days
|
UserLikeCountForRealOntoCountry7d
video_hub: 752
how many times the user like the documents removed in this country, with a fading of 7 days
|
UserLikeCountForRealOntoCountry8h
video_hub: 753
how many times the user like the documents removed in this country, with a fading of 8 hours
|
UserDislikeCountForRealOntoCountry
video_hub: 754
how many times the user dizulated the documents removed in this country
|
UserDislikeCountForRealOntoCountry30d
video_hub: 755
How many times the user dizzyked the documents removed in this country, with a fading of 30 days
|
UserDislikeCountForRealOntoCountry7d
video_hub: 756
How many times the user dizulated the documents removed in this country, with a fading of 7 days
|
UserDislikeCountForRealOntoCountry8h
video_hub: 757
How many times the user dizzyked the documents removed in this country, with a fading of 8 hours
|
UserSkipCountForRealOntoCountry
video_hub: 758
how many times the user dropped the documents removed in this country
|
UserSkipCountForRealOntoCountry30d
video_hub: 759
how many times the user dropped the documents removed in this country, with a fading of 30 days
|
UserSkipCountForRealOntoCountry7d
video_hub: 760
how many times the user dropped the documents removed in this country, with a fading of 7 days
|
UserSkipCountForRealOntoCountry8h
video_hub: 761
how many times the user dropped the documents removed in this country, with a fading of 8 hours
|
UserTVOnlineFirstHeartbeatForRealActor
video_hub: 762
how many times the user watched at least 30 seconds a document with this actor
|
UserTVOnlineFirstHeartbeatForRealActor30d
video_hub: 763
How many times the user watched at least 30 seconds a document with this actor, with a fading of 30 days
|
UserTVOnlineFirstHeartbeatForRealActor7d
video_hub: 764
How many times the user watched at least 30 seconds a document with this actor, with a fading of 7 days
|
UserTVOnlineFirstHeartbeatForRealActor8h
video_hub: 765
How many times the user watched at least 30 seconds a document with this actor, with a fading of 8 hours
|
UserTVOnlineDeepViewForRealActor
video_hub: 766
how many times the user looked deeply with this actor
|
UserTVOnlineDeepViewForRealActor30d
video_hub: 767
How many times the user looked deeply with this actor, with a fading of 30 days
|
UserTVOnlineDeepViewForRealActor7d
video_hub: 768
How many times the user looked deeply with this actor, with a fading of 7 days
|
UserTVOnlineDeepViewForRealActor8h
video_hub: 769
how many times the user looked deeply with this actor, with a fading of 8 hours
|
UserTVOnlineStartForRealActor
video_hub: 770
how many times the user began to watch a document with this actor
|
UserTVOnlineStartForRealActor30d
video_hub: 771
how many times the user began to watch a document with this actor, with a fading of 30 days
|
UserTVOnlineStartForRealActor7d
video_hub: 772
how many times the user began to watch a document with this actor, with a fading of 7 days
|
UserTVOnlineStartForRealActor8h
video_hub: 773
how many times the user began to watch a document with this actor, with a fading of 8 hours
|
UserSearchFirstHeartbeatForRealActor
video_hub: 774
how many times the user watched at least 30 seconds a document with this actor
|
UserSearchFirstHeartbeatForRealActor30d
video_hub: 775
How many times the user watched at least 30 seconds a document with this actor, with a fading of 30 days
|
UserSearchFirstHeartbeatForRealActor7d
video_hub: 776
How many times the user watched at least 30 seconds a document with this actor, with a fading of 7 days
|
UserSearchFirstHeartbeatForRealActor8h
video_hub: 777
How many times the user watched at least 30 seconds a document with this actor, with a fading of 8 hours
|
UserSearchDeepViewForRealActor
video_hub: 778
how many times the user looked deeply with this actor
|
UserSearchDeepViewForRealActor30d
video_hub: 779
How many times the user looked deeply with this actor, with a fading of 30 days
|
UserSearchDeepViewForRealActor7d
video_hub: 780
How many times the user looked deeply with this actor, with a fading of 7 days
|
UserSearchDeepViewForRealActor8h
video_hub: 781
how many times the user looked deeply with this actor, with a fading of 8 hours
|
UserSpyDeepViewForRealActor
video_hub: 782
how many times the user looked deeply with this actor
|
UserSpyDeepViewForRealActor30d
video_hub: 783
How many times the user looked deeply with this actor, with a fading of 30 days
|
UserSpyDeepViewForRealActor7d
video_hub: 784
How many times the user looked deeply with this actor, with a fading of 7 days
|
UserSpyDeepViewForRealActor8h
video_hub: 785
how many times the user looked deeply with this actor, with a fading of 8 hours
|
UserTVOnlineFirstHeartbeatForRealDirector
video_hub: 786
how many times the user watched at least 30 seconds a document with this director
|
UserTVOnlineFirstHeartbeatForRealDirector30d
video_hub: 787
How many times the user watched at least 30 seconds a document with this director, with a fading of 30 days
|
UserTVOnlineFirstHeartbeatForRealDirector7d
video_hub: 788
How many times the user watched at least 30 seconds a document with this director, with a fading of 7 days
|
UserTVOnlineFirstHeartbeatForRealDirector8h
video_hub: 789
How many times the user watched at least 30 seconds a document with this director, with a fading of 8 hours
|
UserTVOnlineDeepViewForRealDirector
video_hub: 790
How many times the user looked deeply with this director
|
UserTVOnlineDeepViewForRealDirector30d
video_hub: 791
How many times the user looked deeply with this director, with a fading of 30 days
|
UserTVOnlineDeepViewForRealDirector7d
video_hub: 792
How many times the user looked deeply with this director, with a fading of 7 days
|
UserTVOnlineDeepViewForRealDirector8h
video_hub: 793
how many times the user looked deeply with this director, with a fading of 8 hours
|
UserTVOnlineStartForRealDirector
video_hub: 794
how many times the user began to watch a document with this director
|
UserTVOnlineStartForRealDirector30d
video_hub: 795
how many times the user began to watch a document with this director, with a fading of 30 days
|
UserTVOnlineStartForRealDirector7d
video_hub: 796
how many times the user began to watch a document with this director, with a fading of 7 days
|
UserTVOnlineStartForRealDirector8h
video_hub: 797
how many times the user began to watch a document with this director, with a fading of 8 hours
|
UserSearchFirstHeartbeatForRealDirector
video_hub: 798
how many times the user watched at least 30 seconds a document with this director
|
UserSearchFirstHeartbeatForRealDirector30d
video_hub: 799
How many times the user watched at least 30 seconds a document with this director, with a fading of 30 days
|
UserSearchFirstHeartbeatForRealDirector7d
video_hub: 800
How many times the user watched at least 30 seconds a document with this director, with a fading of 7 days
|
UserSearchFirstHeartbeatForRealDirector8h
video_hub: 801
How many times the user watched at least 30 seconds a document with this director, with a fading of 8 hours
|
UserSearchDeepViewForRealDirector
video_hub: 802
How many times the user looked deeply with this director
|
UserSearchDeepViewForRealDirector30d
video_hub: 803
How many times the user looked deeply with this director, with a fading of 30 days
|
UserSearchDeepViewForRealDirector7d
video_hub: 804
How many times the user looked deeply with this director, with a fading of 7 days
|
UserSearchDeepViewForRealDirector8h
video_hub: 805
how many times the user looked deeply with this director, with a fading of 8 hours
|
UserSpyDeepViewForRealDirector
video_hub: 806
How many times the user looked deeply with this director
|
UserSpyDeepViewForRealDirector30d
video_hub: 807
How many times the user looked deeply with this director, with a fading of 30 days
|
UserSpyDeepViewForRealDirector7d
video_hub: 808
How many times the user looked deeply with this director, with a fading of 7 days
|
UserSpyDeepViewForRealDirector8h
video_hub: 809
how many times the user looked deeply with this director, with a fading of 8 hours
|
UserTVOnlineFirstHeartbeatForRealGenre
video_hub: 810
how many times the user watched at least 30 seconds a document with this genre
|
UserTVOnlineFirstHeartbeatForRealGenre30d
video_hub: 811
How many times the user watched at least 30 seconds a document with this genre, with a fading of 30 days
|
UserTVOnlineFirstHeartbeatForRealGenre7d
video_hub: 812
How many times the user watched at least 30 seconds a document with this genre, with a fading of 7 days
|
UserTVOnlineFirstHeartbeatForRealGenre8h
video_hub: 813
How many times the user watched at least 30 seconds a document with this genre, with a fading of 8 hours
|
UserTVOnlineDeepViewForRealGenre
video_hub: 814
how many times the user looked deeply with this genre
|
UserTVOnlineDeepViewForRealGenre30d
video_hub: 815
How many times the user looked deeply with this genre, with a fading of 30 days
|
UserTVOnlineDeepViewForRealGenre7d
video_hub: 816
How many times the user looked deeply with this genre, with a fading of 7 days
|
UserTVOnlineDeepViewForRealGenre8h
video_hub: 817
how many times the user looked deeply with this genre, with a fading of 8 hours
|
UserTVOnlineStartForRealGenre
video_hub: 818
how many times the user began to watch a document with this genre
|
UserTVOnlineStartForRealGenre30d
video_hub: 819
how many times the user began to watch a document with this genre, with a fading of 30 days
|
UserTVOnlineStartForRealGenre7d
video_hub: 820
how many times the user began to watch a document with this genre, with a fading of 7 days
|
UserTVOnlineStartForRealGenre8h
video_hub: 821
how many times the user began to watch a document with this genre, with a fading of 8 hours
|
UserSearchFirstHeartbeatForRealGenre
video_hub: 822
how many times the user watched at least 30 seconds a document with this genre
|
UserSearchFirstHeartbeatForRealGenre30d
video_hub: 823
How many times the user watched at least 30 seconds a document with this genre, with a fading of 30 days
|
UserSearchFirstHeartbeatForRealGenre7d
video_hub: 824
How many times the user watched at least 30 seconds a document with this genre, with a fading of 7 days
|
UserSearchFirstHeartbeatForRealGenre8h
video_hub: 825
How many times the user watched at least 30 seconds a document with this genre, with a fading of 8 hours
|
UserSearchDeepViewForRealGenre
video_hub: 826
how many times the user looked deeply with this genre
|
UserSearchDeepViewForRealGenre30d
video_hub: 827
How many times the user looked deeply with this genre, with a fading of 30 days
|
UserSearchDeepViewForRealGenre7d
video_hub: 828
How many times the user looked deeply with this genre, with a fading of 7 days
|
UserSearchDeepViewForRealGenre8h
video_hub: 829
how many times the user looked deeply with this genre, with a fading of 8 hours
|
UserSpyDeepViewForRealGenre
video_hub: 830
how many times the user looked deeply with this genre
|
UserSpyDeepViewForRealGenre30d
video_hub: 831
How many times the user looked deeply with this genre, with a fading of 30 days
|
UserSpyDeepViewForRealGenre7d
video_hub: 832
How many times the user looked deeply with this genre, with a fading of 7 days
|
UserSpyDeepViewForRealGenre8h
video_hub: 833
how many times the user looked deeply with this genre, with a fading of 8 hours
|
UserTVOnlineFirstHeartbeatForRealOntoCountry
video_hub: 834
how many times the user watched at least 30 seconds a document shot in this country
|
UserTVOnlineFirstHeartbeatForRealOntoCountry30d
video_hub: 835
How many times the user watched at least 30 seconds a document shot in this country, with a fading of 30 days
|
UserTVOnlineFirstHeartbeatForRealOntoCountry7d
video_hub: 836
How many times the user watched at least 30 seconds a document shot in this country, with a fading of 7 days
|
UserTVOnlineFirstHeartbeatForRealOntoCountry8h
video_hub: 837
How many times the user watched at least 30 seconds a document shot in this country, with a fading of 8 hours
|
UserTVOnlineDeepViewForRealOntoCountry
video_hub: 838
how many times the user looked deeply on the document removed in this country
|
UserTVOnlineDeepViewForRealOntoCountry30d
video_hub: 839
How many times the user looked deeply with the document shot in this country, with a fading of 30 days
|
UserTVOnlineDeepViewForRealOntoCountry7d
video_hub: 840
How many times the user looked deeply with the document shot in this country, with a fading of 7 days
|
UserTVOnlineDeepViewForRealOntoCountry8h
video_hub: 841
how many times the user looked deeply with the document shot in this country, with a fading of 8 hours
|
UserTVOnlineStartForRealOntoCountry
video_hub: 842
how many times the user began to watch the document removed in this country
|
UserTVOnlineStartForRealOntoCountry30d
video_hub: 843
How many times the user began to watch the document shot in this country, with a fading of 30 days
|
UserTVOnlineStartForRealOntoCountry7d
video_hub: 844
How many times the user began to watch the document shot in this country, with a fading of 7 days
|
UserTVOnlineStartForRealOntoCountry8h
video_hub: 845
how many times the user began to watch the document shot in this country, with a fading of 8 hours
|
UserSearchFirstHeartbeatForRealOntoCountry
video_hub: 846
how many times the user watched at least 30 seconds a document shot in this country
|
UserSearchFirstHeartbeatForRealOntoCountry30d
video_hub: 847
How many times the user watched at least 30 seconds a document shot in this country, with a fading of 30 days
|
UserSearchFirstHeartbeatForRealOntoCountry7d
video_hub: 848
How many times the user watched at least 30 seconds a document shot in this country, with a fading of 7 days
|
UserSearchFirstHeartbeatForRealOntoCountry8h
video_hub: 849
How many times the user watched at least 30 seconds a document shot in this country, with a fading of 8 hours
|
UserSearchDeepViewForRealOntoCountry
video_hub: 850
how many times the user looked deeply on the document removed in this country
|
UserSearchDeepViewForRealOntoCountry30d
video_hub: 851
How many times the user looked deeply with the document shot in this country, with a fading of 30 days
|
UserSearchDeepViewForRealOntoCountry7d
video_hub: 852
How many times the user looked deeply with the document shot in this country, with a fading of 7 days
|
UserSearchDeepViewForRealOntoCountry8h
video_hub: 853
how many times the user looked deeply with the document shot in this country, with a fading of 8 hours
|
UserSpyDeepViewForRealOntoCountry
video_hub: 854
how many times the user looked deeply on the document removed in this country
|
UserSpyDeepViewForRealOntoCountry30d
video_hub: 855
How many times the user looked deeply with the document shot in this country, with a fading of 30 days
|
UserSpyDeepViewForRealOntoCountry7d
video_hub: 856
How many times the user looked deeply with the document shot in this country, with a fading of 7 days
|
UserSpyDeepViewForRealOntoCountry8h
video_hub: 857
how many times the user looked deeply with the document shot in this country, with a fading of 8 hours
|
UserEtherDiscountedTVTForHubtagSumNormalized
video_hub: 858
The total time of the tag watching into a logarithm tvt tag, an employed
|
UserEtherDiscountedTVTForHubtagSum30dNormalized
video_hub: 859
The total time of the tag watching into a tvt tag logarithm, an employed, half -life 30 days
|
UserEtherDiscountedTVTForHubtagSum7dNormalized
video_hub: 860
The total time of the tag watching into a tvt tag logarithm, an employed, half -life 7 days
|
UserTVOnlineFirstHeartbeatForAuthorId30d
video_hub: 861
How many times the user looked at at least 30 seconds of the document of this author, with a fading of 30 days
|
UserTVOnlineFirstHeartbeatForAuthorId8h
video_hub: 862
how many times the user looked at at least 30 seconds of the document of this author, with a fading of 8 hours
|
UserTVOnlineStartForAuthorId
video_hub: 863
how many times the user began to watch the document of this author
|
UserTVOnlineStartForAuthorId30d
video_hub: 864
how many times the user began to watch the document of this author, with a fading of 30 days
|
UserTVOnlineStartForAuthorId8h
video_hub: 865
how many times the user began to watch the document of this author, with a fading of 8 hours
|
UserSpyDeepViewForAuthorId
video_hub: 866
how many times the user looked deeply on the document of this author
|
UserSpyDeepViewForAuthorId30d
video_hub: 867
How many times the user looked deeply on the document of this author, with a fading of 30 days
|
UserTVOnlineFirstHeartbeatForHubTagDotProduct8h
video_hub: 868
the amount by tags of the document, how many times the user looked at at least 30 seconds of the document of this tag, with a fading of 8 hours
|
UserTVOnlineStartForHubTagDotProduct30d
video_hub: 869
the amount by tags of the document, how many times the user began to watch a document of this tag, with a fading of 30 days
|
UserTVOnlineStartForHubTagDotProduct8h
video_hub: 870
the amount by tags of the document, how many times the user began to watch a document of this tag, with a fading of 8 hours
|
UserTVOnlineStartForHubTagMax30d
video_hub: 871
Maximum by tags of the document, how many times the user began to watch a document of this tag, with a fading of 30 days
|
UserTVOnlineStartForHubTagMax8h
video_hub: 872
Maximum by tags of the document, how many times the user began to watch a document of this tag, with a fading of 8 hours
|
UserTVOnlineFirstHeartbeatForHubTagMin30d
video_hub: 873
at least by tags of the document, how many times the user looked at at least 30 seconds of a document of this tag, with a fading of 30 days
|
UserTVOnlineFirstHeartbeatForHubTagMin8h
video_hub: 874
at least by tags of the document, how many times the user looked at at least 30 seconds of a document of this tag, with a fading of 8 hours
|
UserTVOnlineDeepViewForHubTagMin8h
video_hub: 875
at least by tags of the document, how many times the user looked deeply on the document of this tag, with a fading of 8 hours
|
UserTVOnlineStartForHubTagMin
video_hub: 876
at least by tags of the document, how many times the user began to watch a document of this tag
|
UserTVOnlineStartForHubTagMin30d
video_hub: 877
at least by tags of the document, how many times the user began to watch a document of this tag, with a fading of 30 days
|
UserTVOnlineStartForHubTagMin8h
video_hub: 878
at least by tags of the document, how many times the user began to watch a document of this tag, with a fading of 8 hours
|
VhsUserSearchLVT
video_hub_categs: 0
LVT user for Search logs
|
VhsUserSearchTVT
video_hub_categs: 1
TVT user on Search logs
|
VhsUserSearchLVT30d
video_hub_categs: 2
LVT user for Search logs for 30 days
|
VhsUserSearchTVT30d
video_hub_categs: 3
TVT user for Search logs for 30 days
|
VhsUser2TagSearchLVT
video_hub_categs: 8
LVT user on Search logs of this tag
|
VhsUser2TagSearchTVT
video_hub_categs: 9
TVT user on Search logs of this tag
|
VhsUser2TagSearchLVT30d
video_hub_categs: 10
LVT user on Search logs of this tag in 30 days
|
VhsUser2TagSearchTVT30d
video_hub_categs: 11
TVT user on Search logs of this tag in 30 days
|
VhsUser2TagDssmProximity
video_hub_categs: 12
DOT Product Embeddings Tag and User
|
VhsUserEtherLVT
video_hub_categs: 13
LVT user on Ether logs
|
VhsUserEtherTVT
video_hub_categs: 14
TVT user on Ether logs
|
VhsUserEtherLVT30d
video_hub_categs: 15
LVT user on Ether logs for 30 days
|
VhsUserEtherTVT30d
video_hub_categs: 16
TVT user on Ether Logam for 30 days
|
VhsUser2TagEtherLVT
video_hub_categs: 21
LVT user on Ether logs of this tag
|
VhsUser2TagEtherTVT
video_hub_categs: 22
TVT user on Ether logs of this tag
|
VhsUser2TagEtherLVT30d
video_hub_categs: 23
LVT user on Ether logs of this tag in 30 days
|
VhsUser2TagEtherTVT30d
video_hub_categs: 24
TVT user on Ether logs of this tag in 30 days
|
VhsUserSpyLVT
video_hub_categs: 25
LVT user for spy logs
|
VhsUserSpyTVT
video_hub_categs: 26
TVT user on spy logs
|
VhsUserSpyLVT30d
video_hub_categs: 27
LVT user for spy logs for 30 days
|
VhsUserSpyTVT30d
video_hub_categs: 28
TVT user on spy logs for 30 days
|
VhsTagSpyTVT
video_hub_categs: 30
TVT TEGA on Spy logam
|
VhsUser2TagSpyLVT
video_hub_categs: 33
LVT user on spy logs of this tag
|
VhsUser2TagSpyTVT
video_hub_categs: 34
TVT user on spy logs of this tag
|
VhsUser2TagSpyLVT30d
video_hub_categs: 35
LVT user on spy logs of this tag in 30 days
|
VhsUser2TagSpyTVT30d
video_hub_categs: 36
TVT user on spy logs of this tag in 30 days
|
VhsUserReactionAngry
video_hub_categs: 37
The number of pressed emoji angry
|
VhsUserReactionDislike
video_hub_categs: 38
The number of pressed emoji Dislike
|
VhsUserReactionFire
video_hub_categs: 39
The number of pressed emoji Fire
|
VhsUserReactionHaha
video_hub_categs: 40
The number of pressed emoji haha
|
VhsUserReactionLike
video_hub_categs: 41
The number of emoji pressed
|
VhsUserReactionSad
video_hub_categs: 42
The number of pressed emoji sad
|
VhsUserReactionWow
video_hub_categs: 43
The number of emoji clicks Wow
|
VhsTagReactionAngry
video_hub_categs: 44
The number of pressed emoji angry for tag
|
VhsTagReactionDislike
video_hub_categs: 45
The number of Dislike emoji pressed
|
VhsTagReactionFire
video_hub_categs: 46
The number of pressed emoji Fire for tag
|
VhsTagReactionHaha
video_hub_categs: 47
The number of pressed emoja haha for tag
|
VhsTagReactionLike
video_hub_categs: 48
The number of emoji like pressed for tag
|
VhsTagReactionSad
video_hub_categs: 49
The number of pressed emoji sad for tag
|
VhsTagReactionWow
video_hub_categs: 50
The number of emoji wow for tag
|
VhsUser2TagReactionAngry
video_hub_categs: 51
The number of emoji angry pressed by user for tag
|
VhsUser2TagReactionDislike
video_hub_categs: 52
The number of emoji Dislike pressed by the user
|
VhsUser2TagReactionFire
video_hub_categs: 53
The number of emoji fire pressed by user for tag
|
VhsUser2TagReactionHaha
video_hub_categs: 54
The number of emoji haha for a tag pressed by user
|
VhsUser2TagReactionLike
video_hub_categs: 55
The number of emoji Like pressed by user for tag
|
VhsUser2TagReactionSad
video_hub_categs: 56
The number of emoji sad for a tag pressed by the user
|
VhsUser2TagReactionWow
video_hub_categs: 57
The number of emoji wow for a tag pressed by user
|
VhsUser2TagWebReformulationDssmSpyOrthoSimilarity1d
video_hub_categs: 58
Aggregation for categories et_web_reformulation_dssm_spy_Rortho
|
VhsUser2TagWebReformulationDssmTvOnlineOrthoSimilarity30d
video_hub_categs: 61
Aggregation for categories et_web_reformulation_dssm_tv_online_Rtho
|
VhsUser2TagWebReformulationDssmTvOnlineOrthoSimilarity7d
video_hub_categs: 62
Aggregation for categories et_web_reformulation_dssm_tv_online_Rtho
|
VhsUserUiTypeIsDesktop
video_hub_categs: 63
Type of user interface - desktop
|
VhsUser2TagSearchLVTRatio
video_hub_categs: 64
The share of the user on the Search logs of this tag
|
VhsUser2TagSearchTVTRatio
video_hub_categs: 65
The share of the user on the Search logs of this tag
|
VhsUser2TagSearchLVT30dRatio
video_hub_categs: 66
The share of the user's LVT Search logs of this tag in 30 days
|
VhsUser2TagSearchTVT30dRatio
video_hub_categs: 67
The share of the user on the Search logs of this tag in 30 days
|
VhsUser2TagEtherLVTRatio
video_hub_categs: 68
The share of the user on Ether Logs of this tag
|
VhsUser2TagEtherTVTRatio
video_hub_categs: 69
The share of the user on Ether logs of this tag
|
VhsUser2TagEtherLVT30dRatio
video_hub_categs: 70
The share of the user's lvt by Ether logs of this tag in 30 days
|
VhsUser2TagEtherTVT30dRatio
video_hub_categs: 71
The share of the user on Ether logs of this tag in 30 days
|
VhsUser2TagSpyLVTRatio
video_hub_categs: 72
The share of the user on the spy logs of this tag
|
VhsUser2TagSpyTVTRatio
video_hub_categs: 73
The share of the user on the SPY logs of this tag
|
VhsUser2TagSpyLVT30dRatio
video_hub_categs: 74
The share of user LVT for SPY logs of this tag in 30 days
|
VhsUser2TagSpyTVT30dRatio
video_hub_categs: 75
The share of the user on the SPY logs of this tag in 30 days
|
VhsUser2TagReactionAngryRatio
video_hub_categs: 76
The share of emoji angry pressed by user
|
VhsUser2TagReactionDislikeRatio
video_hub_categs: 77
The share of emoji Dislike pressed for a tag
|
VhsUser2TagReactionFireRatio
video_hub_categs: 78
The share of emoji fire pressed for a tag
|
VhsUser2TagReactionHahaRatio
video_hub_categs: 79
The proportion of emoji haha closed by user for tag
|
VhsUser2TagReactionLikeRatio
video_hub_categs: 80
The share of emoji like pressed for a tag
|
VhsUser2TagReactionSadRatio
video_hub_categs: 81
The share of emoji sad for a tag closed by user
|
VhsUser2TagReactionWowRatio
video_hub_categs: 82
The share of emoji wow for a tag closed by user
|
VhsUserReactionAngry30d
video_hub_categs: 84
The number of emoji Angry pressed in 30 days
|
VhsUserReactionDislike30d
video_hub_categs: 85
The number of Dislike emoji pressed in 30 days
|
VhsUserReactionFire30d
video_hub_categs: 86
The number of emoji fire pressed in 30 days
|
VhsUserReactionHaha30d
video_hub_categs: 87
The number of emoji haha pressed in 30 days
|
VhsUserReactionLike30d
video_hub_categs: 88
The number of emoji like pressed in 30 days
|
VhsUserReactionSad30d
video_hub_categs: 89
The number of emoji pressed for 30 days
|
VhsUserReactionWow30d
video_hub_categs: 90
The number of emoji wow over 30 days
|
VhsTagReactionAngry30d
video_hub_categs: 91
The number of emoji Angry pressed for a tag in 30 days
|
VhsTagReactionDislike30d
video_hub_categs: 92
The number of Dislike emoji pressed for a tag in 30 days
|
VhsTagReactionFire30d
video_hub_categs: 93
The number of pressed emoji Fire for a tag in 30 days
|
VhsTagReactionHaha30d
video_hub_categs: 94
The number of emoji haha pressed for tags in 30 days
|
VhsTagReactionLike30d
video_hub_categs: 95
The number of emoji like pressed for a tag in 30 days
|
VhsTagReactionSad30d
video_hub_categs: 96
The number of emoji Sad for 30 days pressed
|
VhsTagReactionWow30d
video_hub_categs: 97
The number of emoji wow for a tag in 30 days
|
VhsUser2TagReactionAngry30d
video_hub_categs: 98
The number of emoji angry pressed by the user for a tag in 30 days
|
VhsUser2TagReactionDislike30d
video_hub_categs: 99
The number of emoji Dislike pressed for a tag in 30 days
|
VhsUser2TagReactionFire30d
video_hub_categs: 100
The number of emoji Fire pressed by the user for a tag in 30 days
|
VhsUser2TagReactionHaha30d
video_hub_categs: 101
The number of emoji haha pressed by user for a tag in 30 days
|
VhsUser2TagReactionLike30d
video_hub_categs: 102
The number of emoji Like pressed by the user for a tag in 30 days
|
VhsUser2TagReactionSad30d
video_hub_categs: 103
The number of emoji SAD pressed for a tag in 30 days
|
VhsUser2TagReactionWow30d
video_hub_categs: 104
The number of emoji wow for 30 days pressed by the user
|
VhsUserReactionAngry7d
video_hub_categs: 105
The number of emoji Angry pressed in 7 days
|
VhsUserReactionDislike7d
video_hub_categs: 106
The number of Dislike emoji pressed in 7 days
|
VhsUserReactionFire7d
video_hub_categs: 107
The number of emoji fire pressed in 7 days
|
VhsUserReactionHaha7d
video_hub_categs: 108
The number of emoji haha pressed in 7 days
|
VhsUserReactionLike7d
video_hub_categs: 109
The number of emoji like pressed in 7 days
|
VhsUserReactionSad7d
video_hub_categs: 110
The number of emoji pressed for 7 days
|
VhsUserReactionWow7d
video_hub_categs: 111
The number of emoji wow for 7 days
|
VhsTagReactionDislike7d
video_hub_categs: 113
The number of Dislike emoji pressed for a tag in 7 days
|
VhsUser2TagVideoPlusQueryV2UserTvOnlineOrthoSimilarity7d
video_hub_categs: 114
Aggregation for categories et_video_plus_Query_v2_user_tv_online_Rtho
|
VhsUser2TagVideoPlusQueryV3UserSearchOrthoSimilarity1d
video_hub_categs: 115
Aggregation for categories et_video_plus_Query_v3_user_search_Rortho
|
VhsTagReactionLike7d
video_hub_categs: 116
The number of emoji like pressed for a tag in 7 days
|
VhsUser2TagVideoPlusQueryV3UserTvOnlineOrthoSimilarity1d
video_hub_categs: 117
Aggregation for categories et_video_plus_Query_v3_user_tv_online_Rtho
|
VhsUser2TagWebReformulationDssmSearchOrthoSimilarity1d
video_hub_categs: 118
Aggregation for categories et_web_reformault_dssm_search_orth
|
VhsUser2TagReactionAngry7d
video_hub_categs: 119
The number of emoji angry pressed by the user for a tag in 7 days
|
VhsUser2TagReactionDislike7d
video_hub_categs: 120
The number of Dislike emoji pressed for the tag in 7 days
|
VhsUser2TagReactionFire7d
video_hub_categs: 121
The number of emoji Fire pressed by the user for a tag in 7 days
|
VhsUser2TagReactionHaha7d
video_hub_categs: 122
The number of emoji haha pressed by user for tag in 7 days
|
VhsUser2TagReactionLike7d
video_hub_categs: 123
The number of emoji Like pressed by the user for a tag in 7 days
|
VhsUser2TagReactionSad7d
video_hub_categs: 124
The number of emoji SAD pressed for the tag in 7 days
|
VhsUser2TagReactionWow7d
video_hub_categs: 125
The number of emoji wow for a tag in 7 days pressed by the user
|
VhsUserReactionAngry8h
video_hub_categs: 126
The number of emoji Angry pressed in 8 hours
|
VhsUserReactionDislike8h
video_hub_categs: 127
The number of Dislike emoji pressed in 8 hours
|
VhsUserReactionFire8h
video_hub_categs: 128
The number of emoji fire pressed in 8 hours
|
VhsUserReactionHaha8h
video_hub_categs: 129
The number of haha haha emoji pressed in 8 hours
|
VhsUserReactionLike8h
video_hub_categs: 130
The number of emoji like pressed in 8 hours
|
VhsUserReactionSad8h
video_hub_categs: 131
The number of emoji pressed in 8 hours
|
VhsUserReactionWow8h
video_hub_categs: 132
The number of emoji wow in 8 hours
|
VhsUser2TagVideoPlusQueryV2UserSearchOrthoSimilarity30d
video_hub_categs: 133
Aggregation for categories et_video_plus_Query_v2_user_search_Rortho
|
VhsTagReactionDislike8h
video_hub_categs: 134
The number of Dislike emoji pressed for 8 hours
|
VhsUser2TagVideoPlusQueryV3UserSearchOrthoSimilarity30d
video_hub_categs: 135
Aggregation for categories et_video_plus_Query_v3_user_search_Rortho
|
VhsUser2TagVideoPlusQueryV3UserSpyOrthoSimilarity30d
video_hub_categs: 136
Aggregation for categories et_video_plus_query_v3_user_Spy_Rortho
|
VhsTagReactionLike8h
video_hub_categs: 137
The number of emoji like pressed for tags in 8 hours
|
VhsUser2TagWebReformulationDssmSearchOrthoSimilarity30d
video_hub_categs: 138
Aggregation for categories et_web_reformault_dssm_search_orth
|
VhsUser2TagWebReformulationDssmSpyOrthoSimilarity30d
video_hub_categs: 139
Aggregation for categories et_web_reformulation_dssm_spy_Rortho
|
VhsUser2TagReactionAngry8h
video_hub_categs: 140
The number of emoji angry pressed by the user for tag in 8 hours
|
VhsUser2TagReactionDislike8h
video_hub_categs: 141
The number of Dislike emoji pressed for the tag in 8 hours
|
VhsUser2TagReactionFire8h
video_hub_categs: 142
The number of emoji Fire pressed for the tag in 8 hours
|
VhsUser2TagReactionHaha8h
video_hub_categs: 143
The number of emoji haha pressed by user for tag in 8 hours
|
VhsUser2TagReactionLike8h
video_hub_categs: 144
The number of emoji Like pressed by the user for tag in 8 hours
|
VhsUser2TagReactionSad8h
video_hub_categs: 145
The number of emoji SAD pressed for the tag in 8 hours
|
VhsUser2TagReactionWow8h
video_hub_categs: 146
The number of emoji wow for 8 hours pressed by the user
|
VhsUserReactionAngry2h
video_hub_categs: 147
The number of pressed emoji angry in 2 hours
|
VhsUserReactionDislike2h
video_hub_categs: 148
The number of Dislike emoji pressed in 2 hours
|
VhsUserReactionFire2h
video_hub_categs: 149
The number of pressed emoji Fire in 2 hours
|
VhsUserReactionHaha2h
video_hub_categs: 150
The number of haha haha emoji pressed in 2 hours
|
VhsUserReactionLike2h
video_hub_categs: 151
The number of emoji like pressed in 2 hours
|
VhsUserReactionSad2h
video_hub_categs: 152
The number of pressed emoji SAD in 2 hours
|
VhsUserReactionWow2h
video_hub_categs: 153
The number of emoji wow in 2 hours
|
VhsTagReactionDislike2h
video_hub_categs: 155
The number of Dislike emoji pressed for a tag in 2 hours
|
VhsUser2TagVideoPlusQueryV2UserTvOnlineOrthoSimilarity30d
video_hub_categs: 156
Aggregation for categories et_video_plus_Query_v2_user_tv_online_Rtho
|
VhsUser2TagVideoPlusQueryV3UserSearchOrthoSimilarity7d
video_hub_categs: 157
Aggregation for categories et_video_plus_Query_v3_user_search_Rortho
|
VhsTagReactionLike2h
video_hub_categs: 158
The number of emoji like pressed for tags in 2 hours
|
VhsUser2TagVideoPlusQueryV3UserTvOnlineOrthoSimilarity7d
video_hub_categs: 159
Aggregation for categories et_video_plus_Query_v3_user_tv_online_Rtho
|
VhsUser2TagWebReformulationDssmSearchOrthoSimilarity7d
video_hub_categs: 160
Aggregation for categories et_web_reformault_dssm_search_orth
|
VhsUser2TagReactionAngry2h
video_hub_categs: 161
The number of emoji angry pressed by the user for tags in 2 hours
|
VhsUser2TagReactionDislike2h
video_hub_categs: 162
The number of emoji Dislike pressed for a tag in 2 hours
|
VhsUser2TagReactionFire2h
video_hub_categs: 163
The number of emoji Fire pressed for the tag in 2 hours
|
VhsUser2TagReactionHaha2h
video_hub_categs: 164
The number of emoji haha pressed by the user for a tag in 2 hours
|
VhsUser2TagReactionLike2h
video_hub_categs: 165
The number of emoji Like pressed by the user for tags in 2 hours
|
VhsUser2TagReactionSad2h
video_hub_categs: 166
The number of emoji SAD pressed for the tag in 2 hours
|
VhsUser2TagReactionWow2h
video_hub_categs: 167
The number of emoji wow for a tag in 2 hours pressed by user
|
VhsUserSearchLVT7d
video_hub_categs: 168
LVT user for Search logs for 7 days
|
VhsUserSearchTVT7d
video_hub_categs: 169
TVT user for Search logs for 7 days
|
VhsUser2TagSearchLVT7d
video_hub_categs: 172
LVT user on Search logs of this tag in 7 days
|
VhsUser2TagSearchTVT7d
video_hub_categs: 173
TVT user on Search logs of this tag in 7 days
|
VhsUserEtherLVT7d
video_hub_categs: 174
LVT user on Ether logs for 7 days
|
VhsUserEtherTVT7d
video_hub_categs: 175
TVT user on Ether Logam for 7 days
|
VhsUser2TagEtherLVT7d
video_hub_categs: 178
LVT user on Ether logs of this tag in 7 days
|
VhsUser2TagEtherTVT7d
video_hub_categs: 179
TVT user on Ether logs of this tag in 7 days
|
VhsUserSpyLVT7d
video_hub_categs: 180
LVT user for spy logs for 7 days
|
VhsUserSpyTVT7d
video_hub_categs: 181
TVT user on spy logs for 7 days
|
VhsUser2TagSpyLVT7d
video_hub_categs: 184
LVT user on spy logs of this tag in 7 days
|
VhsUser2TagSpyTVT7d
video_hub_categs: 185
TVT user on spy logs of this tag in 7 days
|
VhsUserSearchLVT8h
video_hub_categs: 186
LVT user for Search logs in 8 hours
|
VhsUserSearchTVT8h
video_hub_categs: 187
TVT user on Search logs in 8 hours
|
VhsUser2TagSearchLVT8h
video_hub_categs: 190
LVT user on Search logs of this tag in 8 hours
|
VhsUser2TagSearchTVT8h
video_hub_categs: 191
TVT user on Search logs of this tag in 8 hours
|
VhsUserEtherLVT8h
video_hub_categs: 192
LVT user on Ether logs in 8 hours
|
VhsUserEtherTVT8h
video_hub_categs: 193
TVT user on Ether Logg in 8 hours
|
VhsUser2TagEtherLVT8h
video_hub_categs: 196
LVT user on Ether logs of this tag in 8 hours
|
VhsUser2TagEtherTVT8h
video_hub_categs: 197
TVT user on Ether logs of this tag in 8 hours
|
VhsUserSpyLVT8h
video_hub_categs: 198
LVT user for spy logs in 8 hours
|
VhsUserSpyTVT8h
video_hub_categs: 199
TVT user on spy logs in 8 hours
|
VhsUser2TagSpyLVT8h
video_hub_categs: 202
LVT user on spy logs of this tag in 8 hours
|
VhsUser2TagSpyTVT8h
video_hub_categs: 203
TVT user on spy logs of this tag in 8 hours
|
VhsUserSearchLVT2h
video_hub_categs: 204
LVT user for Search logs in 2 hours
|
VhsUserSearchTVT2h
video_hub_categs: 205
TVT user on Search logs in 2 hours
|
VhsUser2TagSearchLVT2h
video_hub_categs: 208
LVT user on Search logs of this tag in 2 hours
|
VhsUser2TagSearchTVT2h
video_hub_categs: 209
TVT user on Search logs of this tag in 2 hours
|
VhsUserEtherLVT2h
video_hub_categs: 210
LVT user on Ether logs for 2 hours
|
VhsUserEtherTVT2h
video_hub_categs: 211
TVT user on Ether Logam for 2 hours
|
VhsUser2TagEtherLVT2h
video_hub_categs: 214
LVT user on Ether logs of this tag in 2 hours
|
VhsUser2TagEtherTVT2h
video_hub_categs: 215
TVT user on Ether logs of this tag in 2 hours
|
VhsUserSpyLVT2h
video_hub_categs: 216
LVT user for spy logs in 2 hours
|
VhsUserSpyTVT2h
video_hub_categs: 217
TVT user on spy logs in 2 hours
|
VhsUser2TagSpyLVT2h
video_hub_categs: 220
LVT user on spy logs of this tag in 2 hours
|
VhsUser2TagSpyTVT2h
video_hub_categs: 221
TVT user on spy logs of this tag in 2 hours
|
VhsTagCryptaEtherTvt30dAggIncomeKL
video_hub_categs: 225
KL-condition between the crypto distribution of the user by income and the corresponding suspended distribution of TEG over thirty-day ethereal TVT
|
VhsTagCryptaEtherTvt30dAggAgeKL
video_hub_categs: 226
KL-condition between the crypto-distribution of the user by age and the corresponding balanced distribution of TAG along the thirty-day ethereal TVT
|
VhsTagCryptaEtherTvt30dAggGenderKL
video_hub_categs: 227
KL-condition between the crypto-distribution of the user on the floor and the corresponding suspended distribution of TAG along the thirty-day broadcast TVT
|
VhsUser2TagDssmLikeProximity
video_hub_categs: 228
DOT Product Embeddding Tag and Laikh user
|
VhsUser2TagDssmDislikeProximity
video_hub_categs: 229
DOT Product Embedding Tag and Dislayer User
|
VhsUser2TagWebReformulationDssmSpyOrthoSimilarity7d
video_hub_categs: 230
Aggregation for categories et_web_reformulation_dssm_spy_Rortho
|
VhsUser2TagWebReformulationDssmTvOnlineOrthoSimilarity1d
video_hub_categs: 231
Aggregation for categories et_web_reformulation_dssm_tv_online_Rtho
|
VhsUser2TagVideoReformulationDssmSearchOrthoSimilarity30d
video_hub_categs: 232
Aggregation for categories ET_VIDEO_REFORMOLATION_DSSM_SEARCH_RTHO
|
VhsUser2TagVideoReformulationDssmSearchOrthoSimilarity7d
video_hub_categs: 233
Aggregation for categories ET_VIDEO_REFORMOLATION_DSSM_SEARCH_RTHO
|
VhsUser2TagVideoReformulationDssmSearchOrthoSimilarity1d
video_hub_categs: 234
Aggregation for categories ET_VIDEO_REFORMOLATION_DSSM_SEARCH_RTHO
|
VhsUser2TagRawAlsV0Proximity
video_hub_categs: 235
Dot Product between (pn_entity#et_ ranks, v0 embeditions on bikes on the user's air and tag
|
VhsUser2TagRawAlsV1Proximity
video_hub_categs: 236
Dot Product between (pn_entity#et_ ranks, v1 embeditions on bikes on the user's air and tag
|
VhsUser2TagVideoReformulationDssmSpyOrthoSimilarity30d
video_hub_categs: 237
Aggregation for categories ET_VIDEO_REFORMOLATION_DSSM_SPY_RTHO
|
VhsUser2TagVideoReformulationDssmSpyOrthoSimilarity7d
video_hub_categs: 238
Aggregation for categories ET_VIDEO_REFORMOLATION_DSSM_SPY_RTHO
|
VhsUser2TagHistoryDssmProximity
video_hub_categs: 243
DOT Product pn_vhs#et_history_dssm user embedding and category
|
VhsUserReactionHeart
video_hub_categs: 244
The number of emoji yart pressed
|
VhsTagReactionHeart
video_hub_categs: 245
The number of emoji heart for the tag
|
VhsUser2TagReactionHeart
video_hub_categs: 246
The number of emoji heart pressed by user for tag
|
VhsUserReactionHeart30d
video_hub_categs: 247
The number of emoji yart in 30 days
|
VhsTagReactionHeart30d
video_hub_categs: 248
The number of emoji heart for a tag in 30 days
|
VhsUser2TagReactionHeart30d
video_hub_categs: 249
The number of emoji heart pressed by the user for a tag in 30 days
|
VhsUserReactionHeart7d
video_hub_categs: 250
The number of emoji yart in 7 days pressed
|
VhsUser2TagVideoPlusQueryV3UserSpyOrthoSimilarity1d
video_hub_categs: 251
Aggregation for categories et_video_plus_query_v3_user_Spy_Rortho
|
VhsUser2TagReactionHeart7d
video_hub_categs: 252
The number of emoji heart pressed by the user for tag in 7 days
|
VhsUserReactionHeart8h
video_hub_categs: 253
The number of emoji yart in 8 hours
|
VhsUser2TagVideoPlusQueryV3UserTvOnlineOrthoSimilarity30d
video_hub_categs: 254
Aggregation for categories et_video_plus_Query_v3_user_tv_online_Rtho
|
VhsUser2TagReactionHeart8h
video_hub_categs: 255
The number of emoji heart pressed by user for tag in 8 hours
|
VhsUserReactionHeart2h
video_hub_categs: 256
The number of emoji yart in 2 hours
|
VhsUser2TagVideoPlusQueryV3UserSpyOrthoSimilarity7d
video_hub_categs: 257
Aggregation for categories et_video_plus_query_v3_user_Spy_Rortho
|
VhsUser2TagReactionHeart2h
video_hub_categs: 258
The number of emoji heart pressed by user for tags in 2 hours
|
VhsUserReactionSkip
video_hub_categs: 259
The number of pressed emoji skip
|
VhsTagReactionSkip
video_hub_categs: 260
The number of pressed emoji skip for tag
|
VhsUser2TagReactionSkip
video_hub_categs: 261
The number of emoji Skip for the tag pressed by the user
|
VhsUserReactionSkip30d
video_hub_categs: 262
The number of pressed emoji skip in 30 days
|
VhsTagReactionSkip30d
video_hub_categs: 263
The number of Skip emoji pressed for a tag in 30 days
|
VhsUser2TagReactionSkip30d
video_hub_categs: 264
The number of emoji Skip pressed by the user for a tag in 30 days
|
VhsUserReactionSkip7d
video_hub_categs: 265
The number of pressed emoji skip in 7 days
|
VhsTagReactionSkip7d
video_hub_categs: 266
The number of Skip emoji pressed for a tag in 7 days
|
VhsUser2TagReactionSkip7d
video_hub_categs: 267
The number of emoji Skip pressed by the user for tag in 7 days
|
VhsUserReactionSkip8h
video_hub_categs: 268
The number of pressed emoji Skip in 8 hours
|
VhsTagReactionSkip8h
video_hub_categs: 269
The number of Skip emoji pressed for a tag in 8 hours
|
VhsUser2TagReactionSkip8h
video_hub_categs: 270
The number of Emodie Skip pressed for a tag in 8 hours
|
VhsUserReactionSkip2h
video_hub_categs: 271
The number of pressed emoji Skip in 2 hours
|
VhsTagReactionSkip2h
video_hub_categs: 272
The number of Skip emoji pressed for a tag in 2 hours
|
VhsUser2TagReactionSkip2h
video_hub_categs: 273
The number of emoji Skip for a tag in 2 hours pressed by the user
|
VhsUserReactionBored
video_hub_categs: 274
Number of pressed emoji bored
|
VhsUser2TagVideoPlusQueryV2UserSearchOrthoSimilarity7d
video_hub_categs: 275
Aggregation for categories et_video_plus_Query_v2_user_search_Rortho
|
VhsUser2TagReactionBored
video_hub_categs: 276
The number of emoji bored -pressed user for tag
|
VhsUserReactionBored30d
video_hub_categs: 277
The number of emoji pressed for 30 days
|
VhsUser2TagVideoPlusQueryV2UserSpyOrthoSimilarity30d
video_hub_categs: 278
Aggregation for categories et_video_plus_Query_v2_user_Spy_Rortho
|
VhsUser2TagReactionBored30d
video_hub_categs: 279
The number of emoji bored -pressed emoji for tags in 30 days
|
VhsUserReactionBored7d
video_hub_categs: 280
The number of emoji pressed for 7 days
|
VhsUser2TagVideoPlusQueryV2UserSpyOrthoSimilarity7d
video_hub_categs: 281
Aggregation for categories et_video_plus_Query_v2_user_Spy_Rortho
|
VhsUser2TagReactionBored7d
video_hub_categs: 282
The number of emoji bored -pressed emoji for tag in 7 days
|
VhsUserReactionBored8h
video_hub_categs: 283
The number of emoji pressed bored for 8 hours
|
VhsUser2TagVideoPlusQueryV2UserSpyOrthoSimilarity1d
video_hub_categs: 284
Aggregation for categories et_video_plus_Query_v2_user_Spy_Rortho
|
VhsUser2TagReactionBored8h
video_hub_categs: 285
The number of emoji bored -pressed emoji for tag in 8 hours
|
VhsUserReactionBored2h
video_hub_categs: 286
The number of emoji pressed for 2 hours
|
VhsUser2TagVideoPlusQueryV2UserSearchOrthoSimilarity1d
video_hub_categs: 287
Aggregation for categories et_video_plus_Query_v2_user_search_Rortho
|
VhsUser2TagReactionBored2h
video_hub_categs: 288
The number of emoji bored -pressed emoji for tags in 2 hours
|
VhsUser2TagReactionHeartRatio
video_hub_categs: 289
The share of emoji heart for a tag closed by user
|
VhsUser2TagReactionSkipRatio
video_hub_categs: 290
The share of Emoji Skip for a tag closed by user
|
VhsUser2TagReactionBoredRatio
video_hub_categs: 291
The share of emoji bored -pressed user for tag
|
VhsTagDocsCount
video_hub_categs: 292
The number of documents with this tag
|
VhsUser2TagCFSharpScore
video_hub_categs: 293
DOT Product between CF# user embeditions and category
|
VhsUserMusicLike
video_hub_categs: 294
The number of likes by the user on Y. Muzyk
|
VhsUserMusicLike30d
video_hub_categs: 295
The number of likes by the user on the Y. Musiness in 30 days
|
VhsUserMusicLike7d
video_hub_categs: 296
The number of likes by the user on the Y. Musiness in 7 days
|
VhsUserMusicLike8h
video_hub_categs: 297
The number of likes by the user on the Y. Musics in 8 hours
|
VhsUserMusicLike2h
video_hub_categs: 298
The number of likes by the user on the Y. Musiness in 2 hours
|
VhsTagMusicLike
video_hub_categs: 299
The number of likes from Y. Music at Tag
|
VhsTagMusicLike30d
video_hub_categs: 300
The number of likes from Y. Music at Tag in 30 days
|
VhsTagMusicLike7d
video_hub_categs: 301
The number of likes from Y. Music at Tag in 7 days
|
VhsTagMusicLike8h
video_hub_categs: 302
The number of likes from Y. Music at Tag in 8 hours
|
VhsUser2TagMusicLike
video_hub_categs: 304
The user made Tag Like on Y. Musiness
|
VhsUser2TagMusicLike30d
video_hub_categs: 305
The user made Tag Like on Y. Music in 30 days
|
VhsUser2TagMusicLike7d
video_hub_categs: 306
The user made Tag Like on Y. Music in 7 days
|
VhsUser2TagMusicLike8h
video_hub_categs: 307
The user made Tag Like on Y. Music in 8 hours
|
VhsUser2TagMusicLike2h
video_hub_categs: 308
The user made Tag Like on Y. Music in 2 hours
|
VhsUserMusicDislike
video_hub_categs: 309
The number of dizlaiks for the user on Y. Muzyk
|
VhsUserMusicDislike30d
video_hub_categs: 310
The number of dizlaiks for the user on Ya. Musics in 30 days
|
VhsUserMusicDislike7d
video_hub_categs: 311
The number of dizlaiks for the user on Ya. Musics in 7 days
|
VhsUserMusicDislike8h
video_hub_categs: 312
The number of dizlaiks for the user on Ya. Musics in 8 hours
|
VhsUserMusicDislike2h
video_hub_categs: 313
The number of dizlaiks for the user on Ya. Musics in 2 hours
|
VhsTagMusicDislike
video_hub_categs: 314
The number of dizlaiks from the I. Musics at Tag
|
VhsTagMusicDislike30d
video_hub_categs: 315
The number of dizlaiks from the I. Musicians at Tag in 30 days
|
VhsTagMusicDislike7d
video_hub_categs: 316
The number of dizlaiks from the I. Musicians at Tag in 7 days
|
VhsTagMusicDislike8h
video_hub_categs: 317
The number of dizlaiks from the I. Musicians at Tag in 8 hours
|
VhsUser2TagMusicDislike
video_hub_categs: 319
The user put a dizlaik Tag on Y. Musiness
|
VhsUser2TagVideoReformulationDssmTvOnlineOrthoSimilarity30d
video_hub_categs: 320
Aggregation for categories ET_VIDEO_REFORMOLATION_DSSM_TV_ONLINE_RTHO
|
VhsUser2TagVideoReformulationDssmTvOnlineOrthoSimilarity7d
video_hub_categs: 321
Aggregation for categories ET_VIDEO_REFORMOLATION_DSSM_TV_ONLINE_RTHO
|
VhsUser2TagVideoReformulationDssmTvOnlineOrthoSimilarity1d
video_hub_categs: 322
Aggregation for categories ET_VIDEO_REFORMOLATION_DSSM_TV_ONLINE_RTHO
|
VhsUser2TagVideoReformulationDssmSpyOrthoSimilarity1d
video_hub_categs: 323
Aggregation for categories ET_VIDEO_REFORMOLATION_DSSM_SPY_RTHO
|
VhsUser2TagDssmProximityV2
video_hub_categs: 324
Cos(Agg(DocProfile, TotalViewTimeProfileWeightExtractor(Search)), UserProfile, PN_VHS#ET_USER_2_DOC, RT_Sum)
|
VhsUser2TagReactionClose
video_hub_categs: 325
Whether the user pressed the cross on the categories
|
VhsUser2TagReactionSub
video_hub_categs: 326
Whether the user is signed for the category
|
VhsUser2TagDssmProximityV3
video_hub_categs: 327
Cos(Agg(DocProfile, TotalViewTimeProfileWeightExtractor(Ether)), UserProfile, PN_VHS#ET_USER_2_DOC, RT_Sum)
|
VhsUser2TagDssmProximityV4
video_hub_categs: 328
Cos(Agg(DocProfile, TotalViewTimeProfileWeightExtractor(Spy)), UserProfile, PN_VHS#ET_USER_2_DOC, RT_Sum)
|
VhsUser2TagDssmProximityV5
video_hub_categs: 329
Cos(Agg(DocProfile, LogViewTimeProfileWeightExtractor(Search)), UserProfile, PN_VHS#ET_USER_2_DOC, RT_Sum)
|
VhsUser2TagDssmProximityV6
video_hub_categs: 330
Cos(Agg(DocProfile, LogViewTimeProfileWeightExtractor(Ether)), UserProfile, PN_VHS#ET_USER_2_DOC, RT_Sum)
|
VhsUser2TagDssmProximityV7
video_hub_categs: 331
Cos(Agg(DocProfile, LogViewTimeProfileWeightExtractor(Spy)), UserProfile, PN_VHS#ET_USER_2_DOC, RT_Sum)
|
VhsUser2TagDssmProximityV8
video_hub_categs: 332
Cos(Agg(DocProfile, ReleaseTimestampProfileWeightExtractor(RT_Sum_90d)), UserProfile, PN_VHS#ET_USER_2_DOC, RT_Sum)
|
VhsUser2TagDssmProximityV9
video_hub_categs: 333
Cos(Agg(DocProfile, ReleaseTimestampProfileWeightExtractor(RT_Sum_30d)), UserProfile, PN_VHS#ET_USER_2_DOC, RT_Sum)
|
VhsUser2TagDssmProximityV10
video_hub_categs: 334
Cos(Agg(DocProfile, ReleaseTimestampProfileWeightExtractor(RT_Sum_7d)), UserProfile, PN_VHS#ET_USER_2_DOC, RT_Sum)
|
VhsUserYaPlusLicenseType
video_hub_categs: 343
The user is signed by ya_plus
|
VhsUserYaPlus3MLicenseType
video_hub_categs: 344
The user is signed by ya_plus_3m
|
VhsUserKpBasicLicenseType
video_hub_categs: 345
The user is signed on kp_basic
|
VhsUserYaPremiumLicenseType
video_hub_categs: 346
The user is signed by ya_premium
|
VhsUser2TagHistoryDssmProximityV1
video_hub_categs: 351
DOT Product pn_vhs#et_history_dssm user embedding and category V1
|
VhsUser2TagDssmSkipProximity
video_hub_categs: 357
DOT Product Embedding Tag and Skipa user
|
VhsUser2TagDssmClickProximity
video_hub_categs: 358
DOT Product Embeddings Tag and User by Clicks
|
VhsUserUiTypeIsTouch
video_hub_categs: 362
Type of user interface - touch
|
VhsUser2TagZenAlsSearchSimilarity7d
video_hub_categs: 376
Aggregation for categories ET_ZEN_ALS_SEARCH_DEEP_VIEW_DOC
|
VhsUser2TagZenAlsSpySimilarity7d
video_hub_categs: 377
Aggregation for categories ET_ZEN_ALS_SPY_DEEP_VIEW_DOC
|
VhsUser2TagZenAlsEtherSimilarity7d
video_hub_categs: 378
Aggregation for categories et_zen_als_tv_online_deep_View_doc
|
VhsUser2TagSearchDcPlayerDepthQueryOrthoSimilarity7d
video_hub_categs: 382
Aggregation for categories et_search_dc_player_depth_query_Rortho
|
VhsUser2TagSearchDcPlayerDepthQueryOrthoSimilarity30d
video_hub_categs: 383
Aggregation for categories et_search_dc_player_depth_query_Rortho
|
VhsUser2TagSearchDcPlayerDepthQueryOrthoSimilarity1d
video_hub_categs: 384
Aggregation for categories et_search_dc_player_depth_query_Rortho
|
VhsUser2TagWebLogDwellTimeQueryOrthoSimilarity7d
video_hub_categs: 385
Aggregation for categories et_web_log_dwell_time_query_Rortho
|
VhsUser2TagWebLogDwellTimeQueryOrthoSimilarity30d
video_hub_categs: 386
Aggregation for categories et_web_log_dwell_time_query_Rortho
|
VhsUser2TagWebLogDwellTimeQueryOrthoSimilarity1d
video_hub_categs: 387
Aggregation for categories et_web_log_dwell_time_query_Rortho
|
VhsUser2TagSearchDcPlayerDepthDocSpyOrthoSimilarity7d
video_hub_categs: 388
Aggregation for categories ET_SEARCH_DC_PLAYER_DEPTH_DOC_SPY_RTHO
|
VhsUser2TagSearchDcPlayerDepthDocSpyOrthoSimilarity30d
video_hub_categs: 389
Aggregation for categories ET_SEARCH_DC_PLAYER_DEPTH_DOC_SPY_RTHO
|
VhsUser2TagSearchDcPlayerDepthDocSpyOrthoSimilarity1d
video_hub_categs: 390
Aggregation for categories ET_SEARCH_DC_PLAYER_DEPTH_DOC_SPY_RTHO
|
VhsUser2TagWebLogDwellTimeDocSpyOrthoSimilarity7d
video_hub_categs: 391
Aggregation for categories et_web_log_dwell_time_doc_spy_rtho
|
VhsUser2TagWebLogDwellTimeDocSpyOrthoSimilarity30d
video_hub_categs: 392
Aggregation for categories et_web_log_dwell_time_doc_spy_rtho
|
VhsUser2TagWebLogDwellTimeDocSpyOrthoSimilarity1d
video_hub_categs: 393
Aggregation for categories et_web_log_dwell_time_doc_spy_rtho
|
VhsUser2TagSearchDcPlayerDepthDocTvOnlineOrthoSimilarity7d
video_hub_categs: 394
Aggregation for categories ET_SEARCH_DC_PLAYER_DEPTH_DOC_TV_ONLINE_RTHO
|
VhsUser2TagSearchDcPlayerDepthDocTvOnlineOrthoSimilarity30d
video_hub_categs: 395
Aggregation for categories ET_SEARCH_DC_PLAYER_DEPTH_DOC_TV_ONLINE_RTHO
|
VhsUser2TagSearchDcPlayerDepthDocTvOnlineOrthoSimilarity1d
video_hub_categs: 396
Aggregation for categories ET_SEARCH_DC_PLAYER_DEPTH_DOC_TV_ONLINE_RTHO
|
VhsUser2TagWebLogDwellTimeDocTvOnlineOrthoSimilarity7d
video_hub_categs: 397
Aggregation for categories et_web_log_dwell_time_doc_tv_online_Rtho
|
VhsUser2TagWebLogDwellTimeDocTvOnlineOrthoSimilarity30d
video_hub_categs: 398
Aggregation for categories et_web_log_dwell_time_doc_tv_online_Rtho
|
VhsUser2TagWebLogDwellTimeDocTvOnlineOrthoSimilarity1d
video_hub_categs: 399
Aggregation for categories et_web_log_dwell_time_doc_tv_online_Rtho
|
VhsUser2TagKPDssmProximity
video_hub_categs: 400
Aggregation for categories et_kp_user_2_doc
|
RtmrClicksShare1h8h
video_fresh: 0
The ratio of the number of clicks on request-ruled for the last hour to the number of such clicks in 8 hours
|
RtmrShowsShare1h8h
video_fresh: 1
The ratio of the number of shows by request-ruled for the last hour to the number of such impressions in 8 hours
|
RtmrShows8h
video_fresh: 2
The number of shows of queries in the last 8 hours
|
RtmrCtr1h
video_fresh: 3
The ratio of the number of clicks on request-ruled over the last hour to the number of such shows over the last hour
|
RtmrViewsPerClick8h
video_fresh: 4
The average number of views is longer than 30 seconds per click on request in the last 8 hours
|
RtmrThreeMViewsPart8h
video_fresh: 5
The average number of views is longer than 3 minutes per click on the request of the Urlu over the past 8 hours
|
RtmrDepthViewsPart1h
video_fresh: 6
The average depth of one click on the last hour
|
RtmrDepthViewsPart8h
video_fresh: 7
Average depth of one click of one click on request in the last 8 hours
|
RtmrLVTPerClick1h
video_fresh: 8
Average LVT for click on request-ruler for the last hour
|
CtrVideo1h8h
video_fresh: 9
CtrVideo(1 hour) / (CtrVideo(1 hour) + CtrVideo(8 hours))
|
VideoCorrClicksShare8h
video_fresh: 10
Number of corrected clicks on documents from VIDEO divided by number of corrected shows for documents from VIDEO for given query during last 8 hours
|
VideoCtr1h
video_fresh: 11
Number of clicks on documents from VIDEO divided by number of shown documents from VIDEO for given query during last hour
|
VideoCtr8h
video_fresh: 12
Number of clicks on documents from VIDEO divided by number of shown documents from VIDEO for given query during last 8 hours
|
VideoquickClicksShare8h
video_fresh: 13
Number of clicks on documents from VIDEOQUICK divided by total number of clicks for given query during last 8 hours
|
VideoquickVideoCtrRatio8h
video_fresh: 14
For each SERP with given query in last 8 hours, calculate CTR for VIDEOQUICK and accumulate. Same for VIDEO source. Ratio of this values is the value for this factor
|
VideoquickCorrClicksShare8h
video_fresh: 15
Number of corrected clicks on documents from VIDEOQUICK divided by total number of corrected clicks for given query during last 8 hours
|
VideoquickCtr8h
video_fresh: 16
Number of clicks on documents from VIDEOQUICK divided by number of shown documents from VIDEOQUICK for given query during last 8 hours
|
MeanViewTimeVideo1h
video_fresh: 17
Mean view time of docs from VIDEO source (last 1 hour)
|
MeanViewTimeVideoquick8h
video_fresh: 18
Mean view time of docs from VIDEOQUICK source (last 8 hours)
|
ShortViewsVideoProp1h8h
video_fresh: 19
Short views proportion of docs from VIDEO source (1 hour / (1 hour + 8 hours))
|
ClicksVideoRatio1hTo8h
video_fresh: 20
Clicks on docs from VIDEO source ratio (1 hour / 8 hours)
|
CorrCtrVideo1h8h
video_fresh: 21
CorrCtr is corrected clicks divided by corrected shows. Factor is CorrCtr(1 hour) / (CorrCtr(1 hour) + CorrCtr(8 hours)) of VIDEO source
|
ViewsVideo1h
video_fresh: 22
Views of docs from VIDEO source (1 hour)
|
ShowsVideoquick8h
video_fresh: 23
Shows of docs from VIDEOQUICK source (8 hours)
|
ShowsVideoquick1h8h
video_fresh: 24
Shows(1 hour) / Shows(1 hour) + Shows(8 hours)) for VIDEOQUICK source
|
TVTVideoquickShare8h
video_fresh: 25
VIDEOQUICK share in total view time of service (last 8 hours)
|
LvtVideoquickShare8h
video_fresh: 26
VIDEOQUICK share in total log view time of service (last 8 hours)
|
VideoQueryContrast
video_fresh: 27
Number of such requests (with same vnorm_dopp) during 1 hour divided by number of requests during 8 hours
|
VideoFreshSurplusClickSum1h
video_fresh: 28
Surplus on following data: block of fresh videos is a win block, each non-fresh video is loss block. One win (or loss) is a click on video from a block. Factor is a sum for each query sum for each block of surplus value for last hour
|
VideoFreshSurplusClickSum8h
video_fresh: 29
Surplus on following data: block of fresh videos is a win block, each non-fresh video is loss block. One win (or loss) is a click on video from a block. Factor is a sum for each query sum for each block of surplus value for last 8 hours
|
VideoFreshSurplusClickMean8h
video_fresh: 30
Surplus on following data: block of fresh videos is a win block, each non-fresh video is loss block. One win (or loss) is a click on video from a block. Factor is a sum for each query mean for all blocks of surplus value for last 8 hours
|
VideoFreshSurplusTruncDepthSum8h
video_fresh: 31
Surplus on following data: block of fresh videos is a win block, each non-fresh video is loss block. Win (or loss) is a view depth of videos from a block. Factor is a sum for each query sum for all blocks of surplus value for last 8 hours
|
VideoBigramSkipFRCMax
video_fresh: 32
Maximal norm bigram skips to clicked serps ratio for video wizard, calculate on desktop slice
|
VideoDQueryCTR
video_fresh: 33
Doppel query CTR for video wizard, calculate on desktop slice
|
VideoDWordFRCMax
video_fresh: 34
Doppel word maximal FRC for video wizard, calculate on desktop slice
|
VideoBigramSkipToCorrectedShowsMax
video_fresh: 35
Maximal norm bigram skips to corrected shows ratio for video wizard, calculate on desktop slice
|
VideoDWordNavCTRMax
video_fresh: 36
Doppel word maximal CTR for video navigational link, calculate on desktop slice
|
VideoBigramSurplusToShowsSum
video_fresh: 37
Sum of norm bigram surplus to shows normalized ratios for video wizard, calculate on desktop slice
|
VideoDQuerySkipToShows
video_fresh: 38
Doppel query skip to shows ratio for video wizard, calculate on desktop slice
|
VideoBigramCTR15Max
video_fresh: 39
Norm bigram maximal CTR with 15s dwell time for video wizard, calculate on desktop slice
|
VideoDQuerySkipToCorrectedShows
video_fresh: 40
Doppel query skip to corrected shows ratio for video wizard, calculate on desktop slice
|
VideoDQueryNavCTR
video_fresh: 41
Doppel query CTR for video navigational link, calculate on desktop slice
|
AddressDQueryFRC120
video_fresh: 42
Doppel query FRC with 120s dwell time for address wizard, calculate on desktop slice
|
AddressBigramCorrectedCTRMax
video_fresh: 43
Norm bigram maximal corrected CTR for address wizard, calculate on desktop slice
|
AddressBigramNavCTRMax
video_fresh: 44
Maximal norm bigram maps navigational link CTR, calculate on desktop slice
|
AddressDWordSurplusToShowsSum
video_fresh: 45
Sum of doppel word surplus to shows normalized ratios for address wizard, calculate on desktop slice
|
AddressBigramSkipToCorrectedShowsMax
video_fresh: 46
Maximal norm bigram skips to corrected shows ratio for address wizard, calculate on desktop slice
|
AddressBigramSurplusToShowsSum
video_fresh: 47
Sum of norm bigram surplus to shows normalized ratios for address wizard, calculate on desktop slice
|
AddressBigramCorrectedCTR15Max
video_fresh: 48
Norm bigram maximal corrected CTR with 15s dwell time for address wizard, calculate on desktop slice
|
AddressDWordSkipToCorrectedShowsMax
video_fresh: 49
Doppel word maximal skips to corrected shows ratio for address wizard, calculate on desktop slice
|
ImagesDQueryWeightCTR
video_fresh: 50
Doppel query weighted CTR for images wizard, calculate on desktop slice
|
ImagesDWordLossToShowsMax
video_fresh: 51
Doppel word maximal losses to shows ratio for images wizard, calculate on desktop slice
|
ImagesDWordSurplusToShowsSum
video_fresh: 52
Sum of doppel word surplus to shows normalized ratios for images wizard, calculate on desktop slice
|
ImagesBigramLossToShowsMax
video_fresh: 53
Norm bigram maximal losses to shows ratio for images wizard, calculate on desktop slice
|
ImagesBigramSkipToShowsMax
video_fresh: 54
Norm bigram maximal skips to shows ratio for images wizard, calculate on desktop slice
|
ImagesDQuerySkipToCorrectedShows
video_fresh: 55
Doppel query skips to corrected shows ratio for images wizard, calculate on desktop slice
|
ImagesBigramSkipToCorrectedShowsMax
video_fresh: 56
Norm bigram maximal skips to corrected shows ratio for images wizard, calculate on desktop slice
|
ImagesBigramFRC120Max
video_fresh: 57
Norm bigram maximal FRC with 120s dwell time for images wizard, calculate on desktop slice
|
ImagesBigramSurplusToShowsSum
video_fresh: 58
Sum of norm bigram surplus to shows normalized ratios for images wizard, calculate on desktop slice
|
ImagesBigramUINavCTRMax
video_fresh: 59
Maximal norm bigram images navigational link CTR, calculate on current user interface slice
|
ImagesBigramUISurplusToShowsMin
video_fresh: 60
Minimal norm bigram surplus to corrected shows ratio for images wizard, calculate on current user interface slice
|
ImagesBigramUIWeightFRCMax
video_fresh: 61
Maximal norm bigram weighted FRC for images wizard, calculate on current user interface slice
|
MusicBigramSurplusToShowsSum
video_fresh: 62
Sum of norm bigram surplus to shows normalized ratios for musicplayer wizard, calculate on desktop slice
|
MusicBigramCorrectedCTRMax
video_fresh: 63
Maximal norm bigram corrected CTR for musicplayer wizard, calculate on desktop slice
|
MusicDQueryCorrectedCTR
video_fresh: 64
Dopperl query corrected CTR for musicplayer wizard, calculate on desktop slice
|
BnaSurplusAvg
video_fresh: 65
Avg surplus for bna
|
QuickClicksLastHourRatio
video_fresh: 66
Ratio between clicks on fresh results in last half hour and hour
|
QuickSurplusToQueriesRatio
video_fresh: 67
Ratio between fresh surplus and total number of queries
|
QuickWinsToTotalRatio
video_fresh: 68
Ratio between wins and wins + losses for fresh results
|
NewsClicksLastHourRatio
video_fresh: 69
Ratio between clicks on news results in last half hour and hour
|
NewsSurplusToQueriesRatio
video_fresh: 70
Ratio between news surplus and total number of queries
|
NewsWinsToTotalRatio
video_fresh: 71
Ratio between wins and wins + losses for news results
|
QuickClicksLastHourRatioDopp
video_fresh: 72
Same as QuickClicksLastHourRatio, calculated using doppelgangers
|
QuickSurplusToQueriesRatioDopp
video_fresh: 73
Same as QuickSurplusToQueriesRatio, calculated using doppelgangers
|
QuickWinsToTotalRatioDopp
video_fresh: 74
Same as QuickWinsToTotalRatio, calculated using doppelgangers
|
NewsClicksLastHourRatioDopp
video_fresh: 75
Same as NewsClicksLastHourRatio, calculated using doppelgangers
|
NewsSurplusToQueriesRatioDopp
video_fresh: 76
Same as NewsSurplusToQueriesRatio, calculated using doppelgangers
|
NewsWinsToTotalRatioDopp
video_fresh: 77
Same as NewsWinsToTotalRatio, calculated using doppelgangers
|
QuickShowsDoppLastDayDecay
video_fresh: 78
Decayed counter for this query for last day, using doppelgangers instead of exact query
|
QuickClicksLastHourRatioDopp5min
video_fresh: 79
Same as QuickClicksLastHourRatioDopp, collect logs for 5 minutes before each aggregation
|
QuickSurplusToQueriesRatioDopp5min
video_fresh: 80
Same as QuickSurplusToQueriesRatioDopp, collect logs for 5 minutes before each aggregation
|
QuickWinsToTotalRatioDopp5min
video_fresh: 81
Same as QuickWinsToTotalRatioDopp, collect logs for 5 minutes before each aggregation
|
NewsClicksLastHourRatioDopp5min
video_fresh: 82
Same as NewsClicksLastHourRatioDopp, collect logs for 5 minutes before each aggregation
|
NewsSurplusToQueriesRatioDopp5min
video_fresh: 83
Same as NewsSurplusToQueriesRatioDopp, collect logs for 5 minutes before each aggregation
|
NewsWinsToTotalRatioDopp5min
video_fresh: 84
Same as NewsWinsToTotalRatioDopp, collect logs for 5 minutes before each aggregation
|
ImagesClicksLastHourRatioDopp5min
video_fresh: 85
Ratio between clicks on images results in last half hour and hour, collect logs for 5 minutes before each aggregation
|
ImagesSurplusToQueriesRatioDopp5min
video_fresh: 86
Ratio between images surplus and total number of queries, collect logs for 5 minutes before each aggregation
|
ImagesWinsToTotalRatioDopp5min
video_fresh: 87
Same as QuickWinsToTotalRatio, collect logs for 5 minutes before each aggregation
|
VideoClicksLastHourRatioDopp5min
video_fresh: 88
Ratio between clicks on video results in last half hour and hour, collect logs for 5 minutes before each aggregation
|
VideoSurplusToQueriesRatioDopp5min
video_fresh: 89
Same as NewsSurplusToQueriesRatio, collect logs for 5 minutes before each aggregation
|
VideoWinsToTotalRatioDopp5min
video_fresh: 90
Same as NewsWinsToTotalRatio, collect logs for 5 minutes before each aggregation
|
QuickClicksLastHourRatioDoppMobile
video_fresh: 91
Same as QuickClicksLastHourRatioDoppFixed, but use data only from mobile search
|
QuickSurplusToQueriesRatioDoppMobile
video_fresh: 92
Same as QuickSurplusToQueriesRatioDoppFixed, but use data only from mobile search
|
QuickWinsToTotalRatioDoppMobile
video_fresh: 93
Same as QuickWinsToTotalRatioDoppFixed, but use data only from mobile search
|
SubqueriesFreshIP
video_fresh: 94
Aggregated sum of subqueries' fresh intent
|
SubqueriesQDF
video_fresh: 95
Aggregated sum of subqueries' QDF (quick doc fraction)
|
SubqueriesAvgFreshIP
video_fresh: 96
Average fresh intent of subqueries
|
SubqueriesAvgQDF
video_fresh: 97
Average QDF of subqueries
|
SubqueriesDesktopSurplus
video_fresh: 99
Aggregated sum of subqueries' surplus (desktop)
|
SubqueriesMobileSurplus
video_fresh: 100
Aggregated sum of subqueries' surplus (mobile)
|
SubqueriesDesktopAvgSurplus
video_fresh: 101
Average surplus of desktop subqueries
|
SubqueriesMobileAvgSurplus
video_fresh: 102
Average surplus of mobile subqueries
|
QueryGoodFreshHosts3Days
video_fresh: 103
Percent of requests, containing good hosts for this query during last 3 days
|
FreshPairsContrastDesktop
video_fresh: 104
Replacement for FI_PAIRS_CONTRAST (desktop version)
|
FreshPairsContrastMobile
video_fresh: 105
Replacement for FI_PAIRS_CONTRAST (mobile version)
|
FreshQueryContrastDesktop
video_fresh: 106
Replacement for FI_RT_CONTRAST_QUERY (desktop version)
|
FreshQueryContrastMobile
video_fresh: 107
Replacement for FI_RT_CONTRAST_QUERY (mobile version)
|
HoursFromLastEpisodeAirdate
video_fresh: 108
Hours passed from airdate of last episode
|
IsExactSerialAnswer
video_fresh: 109
Video answer includes requested episode
|
IsGoodVideoSerialOrder
video_fresh: 110
Ordered episodes on serial queries
|
IsExactSerialQuery
video_fresh: 111
Is serial query with season and episode specified
|
VideoQuickDocCount
video_fresh: 112
Number of documents in dgq grouping
|
VideoDocCount
video_fresh: 113
Number of documents in dg grouping
|
VideoWizardWinAvg4
video_fresh: 114
Video wizard win model learned on video factors, average by top 4 video docs.
|
VideoWizAvgRelExp
video_fresh: 115
Copy of VideoWizAvgRelExp
|
VideoNarrowQuery
video_fresh: 116
Video narrow query classifier.
|
ReqVideoClassify
video_fresh: 117
Copy of ReqVideoClassify
|
ExternalGglWebBigramPopularity
video_fresh: 118
External bigram weight in web g serp
|
ExternalGglVideoBigramMaxW
video_fresh: 119
External max bigram weight in video g serp
|
ExternalGglVideoBigramPopularity
video_fresh: 120
External bigram weight in video g serp
|
ExternalGllMapsBigramMaxW
video_fresh: 121
External max bigram weight in maps g serp
|
ExternalGglMapsBigramPopularity
video_fresh: 122
External bigram weight in maps g serp
|
ExternalGglImagesBigramPopularity
video_fresh: 123
External bigram weight in images g serp
|
ExternalGglImagesBigramMaxW
video_fresh: 124
External max bigram weight in images g serp
|
ExternalGllWebBigramMaxW
video_fresh: 125
External max bigram weight in web g serp
|
ExternalGglVideoBigramMinW
video_fresh: 126
External min bigram weight in video g serp
|
ExternalGglWebBigramMinW
video_fresh: 127
External min bigram weight in web g serp
|
ExternalGglWebBigramMulLogW
video_fresh: 128
Multiply bigram weights in web g serp and get log
|
ExternalGglImagesBigramMinW
video_fresh: 129
External min bigram weight in images g serp
|
ExternalGglImagesBigramMulLogW
video_fresh: 130
Multiply bigram weights in images g serp and get log
|
ExternalGglVideoBigramMulLogW
video_fresh: 131
Multiply bigram weights in video g serp and get log
|
ExternalGglImagesWordMaxW
video_fresh: 132
External max word weight in images g serp
|
ExternalGglVideoWordMinW
video_fresh: 133
External min word weight in video g serp
|
ExternalGglWebWordMulLogW
video_fresh: 134
Multiply word weights in web g serp and get log
|
ExternalGglVideoWordMaxW
video_fresh: 135
External max word weight in video g serp
|
ExternalGglWebWordPopularity
video_fresh: 136
External word weight in web g serp
|
ExternalGglWebWordMinW
video_fresh: 137
External min word weight in web g serp
|
ExternalGglImagesWordMinW
video_fresh: 138
External min word weight in images g serp
|
ExternalGglVideoWordPopularity
video_fresh: 139
External word weight in video g serp
|
ExternalGllWebWordMaxW
video_fresh: 140
External max word weight in web g serp
|
ExternalGglImagesWordPopularity
video_fresh: 141
External word weight in images g serp
|
ExternalGglVideoWordMulLogW
video_fresh: 142
Multiply word weights in video g serp and get log
|
ExternalGglImagesWordMulLogW
video_fresh: 143
Multiply word weights in images g serp and get log
|
ExternalGglMapsWordMinW
video_fresh: 144
External min word weight in maps g serp
|
QuickClicksLastHourRatioMobile
video_fresh: 145
Ratio between clicks on fresh results in last half hour and hour, like QuickWinsToTotalRatio from blender (mobile version)
|
QuickSurplusToQueriesRatioMobile
video_fresh: 146
Ratio between fresh surplus and total number of queries, like QuickSurplusToQueriesRatio from blender (mobile version)
|
QuickWinsToTotalRatioMobile
video_fresh: 147
Ratio between wins and wins + losses for fresh results, like QuickWinsToTotalRatio from blender (mobile version)
|
QuickClicksLastHourRatioDopp5minMobile
video_fresh: 148
Ratio between clicks on fresh results in last half hour and hour, calculated using doppelgangers, collect logs for 5 minutes before each aggregation (mobile version)
|
QuickSurplusToQueriesRatioDopp5minMobile
video_fresh: 149
Ratio between fresh surplus and total number of queries, calculated using doppelgangers, collect logs for 5 minutes before each aggregation (mobile version)
|
QuickWinsToTotalRatioDopp5minMobile
video_fresh: 150
Ratio between wins and wins + losses for fresh results, calculated using doppelgangers, collect logs for 5 minutes before each aggregation (mobile version)
|
VideoRequestProbability
video_fresh: 151
Video requests ratio
|
VideowizAvgDwellTime
video_fresh: 152
Average dwelltime by query on video after redirect from web serp, markerdopp normalization.
|
VideoViewtimePerRequest
video_fresh: 153
Average viewtime by query on video, markerdopp normalization.
|
VideoAvgDwellTime
video_fresh: 154
Average dwelltime by query on video, markerdopp normalization.
|
VideoWizardRCtr
video_fresh: 155
Video wizard ctr based on real shows.
|
VideoWizardDiffCtr
video_fresh: 156
DiffCtr of video wizard for video requests
|
VideoAvgLogFadingGain
video_fresh: 157
Average gain by query on video - ratio of long viewtime in session, markerdopp normalization.
|
VideoWizardShows
video_fresh: 158
Normalizaed shows of video wizard for video requests
|
VideoWizardToWebClicksRatio
video_fresh: 159
Ratio of clicks by video wizard to all clicks
|
VideoPlayerViewDepth
video_fresh: 160
Player view depth on video, average by all results for query, markerdopp normalization.
|
FragmentRelevance
video_insights: 0
Skoro classifier of the relevance of the fragment inside the video
|
QueryPlusS2tDssmScore
video_insights: 1
Skor Model S2T relevant to the request to the request
|
QueryPlusS2tBertScore
video_insights: 2
Skoro scores predicting the relevance of S2T to the request
|
QuickClicksLastHourRatio
web_fresh_detector: 0
Ratio between clicks on fresh results in last half hour and hour, like QuickWinsToTotalRatio from blender
|
QuickSurplusToQueriesRatio
web_fresh_detector: 1
Ratio between fresh surplus and total number of queries, like QuickSurplusToQueriesRatio from blender
|
QuickWinsToTotalRatio
web_fresh_detector: 2
Ratio between wins and wins + losses for fresh results, like QuickWinsToTotalRatio from blender
|
QuickClicksLastHourRatioMobile
web_fresh_detector: 3
Ratio between clicks on fresh results in last half hour and hour, like QuickWinsToTotalRatio from blender (mobile version)
|
QuickSurplusToQueriesRatioMobile
web_fresh_detector: 4
Ratio between fresh surplus and total number of queries, like QuickSurplusToQueriesRatio from blender (mobile version)
|
QuickWinsToTotalRatioMobile
web_fresh_detector: 5
Ratio between wins and wins + losses for fresh results, like QuickWinsToTotalRatio from blender (mobile version)
|
QuickClicksLastHourRatioDopp
web_fresh_detector: 6
Ratio between clicks on fresh results in last half hour and hour, calculated using doppelgangers. Collect logs for 5 minutes before each aggregation
|
QuickSurplusToQueriesRatioDopp
web_fresh_detector: 7
Ratio between fresh surplus and total number of queries, calculated using doppelgangers. Collect logs for 5 minutes before each aggregation
|
QuickWinsToTotalRatioDopp
web_fresh_detector: 8
Ratio between wins and wins + losses for fresh results, calculated using doppelgangers. Collect logs for 5 minutes before each aggregation
|
QuickClicksLastHourRatioDoppMobile
web_fresh_detector: 9
Ratio between clicks on fresh results in last half hour and hour, calculated using doppelgangers (mobile version)
|
QuickSurplusToQueriesRatioDoppMobile
web_fresh_detector: 10
Ratio between fresh surplus and total number of queries, calculated using doppelgangers (mobile version)
|
QuickWinsToTotalRatioDoppMobile
web_fresh_detector: 11
Ratio between wins and wins + losses for fresh results, calculated using doppelgangers (mobile version)
|
QuickClicksLastHourRatioDopp5Min
web_fresh_detector: 12
Ratio between clicks on fresh results in last half hour and hour, calculated using doppelgangers, collect logs for 5 minutes before each aggregation
|
QuickSurplusToQueriesRatioDoppMobile5Min
web_fresh_detector: 13
Ratio between fresh surplus and total number of queries, calculated using doppelgangers, collect logs for 5 minutes before each aggregation
|
QuickWinsToTotalRatioDoppMobile5Min
web_fresh_detector: 14
Ratio between wins and wins + losses for fresh results, calculated using doppelgangers, collect logs for 5 minutes before each aggregation
|
QuickClicksLastHourRatioDopp5MinMobile
web_fresh_detector: 15
Ratio between clicks on fresh results in last half hour and hour, calculated using doppelgangers, collect logs for 5 minutes before each aggregation (mobile version)
|
QuickSurplusToQueriesRatioDopp5MinMobile
web_fresh_detector: 16
Ratio between fresh surplus and total number of queries, calculated using doppelgangers, collect logs for 5 minutes before each aggregation (mobile version)
|
QuickWinsToTotalRatioDopp5MinMobile
web_fresh_detector: 17
Ratio between wins and wins + losses for fresh results, calculated using doppelgangers, collect logs for 5 minutes before each aggregation (mobile version)
|
WebQueryDOwnerClicksFRC1
web_fresh_detector: 18
QueryDOwnerClicksFRC relevance factor for first doc in WEB answer, like WebQueryDOwnerClicksFRC1 from blender
|
FreshSourcePrsRatio
web_fresh_detector: 19
Ratio of fresh source documents in PRS
|
FreshPairsContrastDesktop
web_fresh_detector: 20
The maximum ratio of the amount of the request for the request and its bigrams per day, to the same amount in 30 days
|
FreshPairsContrastMobile
web_fresh_detector: 21
The maximum ratio of the amount of the request for the request and its bigrams per day, to the same amount in 30 days (mobile version)
|
FreshQueryContrastDesktop
web_fresh_detector: 22
The ratio of shows in the stream per day and for 30 days, provided that it was more than 5 shows in 30 days
|
FreshQueryContrastMobile
web_fresh_detector: 23
The ratio of the shows in the stream per day and for 30 days, provided that it was more than 5 shows in 30 days (mobile version)
|
WebQueryUrlClicksFRC1
web_fresh_detector: 24
QueryURLClicksFRC relevance factor for first doc in WEB answer, like WebQueryUrlClicksFRC1 from blender
|
WebMetaMaxQiQueryUrlCorrectedCtrXfactor
web_fresh_detector: 25
MetaMaxQiQueryUrlCorrectedCtrXfactor relevance factor from WEB_META slice, like WebMetaMaxQiQueryUrlCorrectedCtrXfactor from blender
|
WebMetaMaxQueryDwellTimeBclmWeightedProximity1Bm15Size1K0001
web_fresh_detector: 26
MetaMaxQueryDwellTimeBclmWeightedProximity1Bm15Size1K0001 relevance factor from WEB_META slice, like WebMetaMaxQueryDwellTimeBclmWeightedProximity1Bm15Size1K0001 from blender
|
WebMetaAvgTRp1
web_fresh_detector: 27
MetaAvgTRp1 relevance factor from WEB_META slice, like WebMetaAvgTRp1 from blender
|
WebMetaRmsQueryDwellTimeAllWcmWeightedValue
web_fresh_detector: 28
MetaRmsQueryDwellTimeAllWcmWeightedValue relevance factor from WEB_META slice, like WebMetaRmsQueryDwellTimeAllWcmWeightedValue from blender
|
WebNavLinear1
web_fresh_detector: 29
NavLinear relevance factor for first doc in WEB anser, like WebMetaRmsQueryDwellTimeAllWcmWeightedValue from blender
|
FreshRmsQueryDOwnerClicksPCTR
web_fresh_detector: 30
Rms metafactor on QueryDOwnerClicksPCTR(77)
|
BegemotDmozQueryThemes
web_fresh_detector: 32
Factor DmozQueryThemes from begemot
|
BegemotDmozQueryBestTheme
web_fresh_detector: 33
Factor DmozQueryBestTheme from begemot
|
BegemotPopularQ
web_fresh_detector: 34
Factor PopularQ from begemot
|
BegemotQDiversity
web_fresh_detector: 35
Factor QDiversity from begemot
|
BegemotDiversity2
web_fresh_detector: 36
Factor Diversity2 from begemot
|
BegemotHourDiversity
web_fresh_detector: 37
Factor HourDiversity from begemot
|
BegemotAvgSessionLen
web_fresh_detector: 38
Factor AvgSessionLen from begemot
|
BegemotFound
web_fresh_detector: 39
Factor Found from begemot
|
BegemotNightQuery
web_fresh_detector: 40
Factor NightQuery from begemot
|
BegemotMorningQuery
web_fresh_detector: 41
Factor MorningQuery from begemot
|
BegemotDayQuery
web_fresh_detector: 42
Factor DayQuery from begemot
|
BegemotEveningQuery
web_fresh_detector: 43
Factor EveningQuery from begemot
|
BegemotCountryPopularQ
web_fresh_detector: 44
Factor CountryPopularQ from begemot
|
BegemotCountryQDiversity
web_fresh_detector: 45
Factor CountryQDiversity from begemot
|
BegemotCountryQDiversity2
web_fresh_detector: 46
Factor CountryQDiversity2 from begemot
|
BegemotCountryHour
web_fresh_detector: 47
Factor CountryHour from begemot
|
BegemotCountryHourDiversity
web_fresh_detector: 48
Factor CountryHourDiversity from begemot
|
BegemotMusicQ
web_fresh_detector: 49
Factor MusicQ from begemot
|
BegemotQueryNonCommerciality
web_fresh_detector: 50
Factor QueryNonCommerciality from begemot
|
BegemotQueryCommercialityMx
web_fresh_detector: 51
Factor QueryCommercialityMx from begemot
|
BegemotIsNavMxQuery
web_fresh_detector: 52
Factor IsNavMxQuery from begemot
|
BegemotNonCommercialQuery
web_fresh_detector: 53
Factor NonCommercialQuery from begemot
|
BegemotPornoQuery
web_fresh_detector: 54
Factor PornoQuery from begemot
|
BegemotXPornoQuery
web_fresh_detector: 55
Factor XPornoQuery from begemot
|
BegemotQBlog
web_fresh_detector: 56
Factor QBlog from begemot
|
BegemotIsNavQuery
web_fresh_detector: 57
Factor IsNavQuery from begemot
|
BegemotIsForeignQuery
web_fresh_detector: 58
Factor IsForeignQuery from begemot
|
BegemotVideoQuery
web_fresh_detector: 59
Factor VideoQuery from begemot
|
BegemotGeoRegionalityU
web_fresh_detector: 60
Factor Georegionalityu from Begemot
|
BegemotGeoRegionalityR
web_fresh_detector: 61
Factor GeoRegionalityR from begemot
|
BegemotGeoRegionalityV
web_fresh_detector: 62
Factor GeoRegionalityV from begemot
|
BegemotGeoRegionalityUNew
web_fresh_detector: 63
Factor GeoRegionalityUNew from begemot
|
BegemotGeoRegionalityRNew
web_fresh_detector: 64
Factor GeoRegionalityRNew from begemot
|
BegemotGeoRegionalityVNew
web_fresh_detector: 65
Factor GeoRegionalityVNew from begemot
|
BegemotRegNavQuery
web_fresh_detector: 66
Factor RegNavQuery from begemot
|
BegemotQueryThVideohosting
web_fresh_detector: 67
Factor QueryThVideohosting from begemot
|
BegemotQueryThEncyclopedic
web_fresh_detector: 68
Factor QueryThEncyclopedic from begemot
|
BegemotQrTur
web_fresh_detector: 69
Factor QrTur from begemot
|
BegemotNearbyQuery
web_fresh_detector: 70
Factor NearbyQuery from begemot
|
BegemotCityQuery
web_fresh_detector: 71
Factor CityQuery from begemot
|
BegemotAdmQuery
web_fresh_detector: 72
Factor AdmQuery from begemot
|
BegemotIsGeo
web_fresh_detector: 73
Factor IsGeo from begemot
|
BegemotIsMusic
web_fresh_detector: 74
Factor IsMusic from begemot
|
BegemotIsOrg
web_fresh_detector: 75
Factor IsOrg from begemot
|
BegemotIsHum
web_fresh_detector: 76
Factor IsHum from begemot
|
BegemotIsText
web_fresh_detector: 77
Factor IsText from begemot
|
BegemotIsPicture
web_fresh_detector: 78
Factor IsPicture from begemot
|
BegemotMinOne
web_fresh_detector: 79
Factor MinOne from begemot
|
BegemotMaxOne
web_fresh_detector: 80
Factor MaxOne from begemot
|
BegemotCountryQueryRegionality
web_fresh_detector: 81
Factor CountryQueryRegionality from begemot
|
BegemotQClassDownload
web_fresh_detector: 82
Factor QClassDownload from begemot
|
BegemotQClassBrandnames
web_fresh_detector: 83
Factor QClassBrandnames from begemot
|
BegemotQClassDisease
web_fresh_detector: 84
Factor QClassDisease from begemot
|
BegemotQClassKak
web_fresh_detector: 85
Factor QClassKak from begemot
|
BegemotQClassMoscow
web_fresh_detector: 86
Factor QClassMoscow from begemot
|
BegemotQClassOAO
web_fresh_detector: 87
Factor QClassOAO from begemot
|
BegemotQClassPorno
web_fresh_detector: 88
Factor QClassPorno from begemot
|
BegemotQClassTravel
web_fresh_detector: 89
Factor QClassTravel from begemot
|
BegemotDiversityCategNeedPhoto
web_fresh_detector: 90
Factor DiversityCategNeedPhoto from begemot
|
BegemotDiversityCategNeedMap
web_fresh_detector: 91
Factor DiversityCategNeedMap from begemot
|
BegemotDiversityCategDownload
web_fresh_detector: 92
Factor DiversityCategDownload from begemot
|
BegemotDiversityCategReview
web_fresh_detector: 93
Factor DiversityCategReview from begemot
|
BegemotDiversityCategWatch
web_fresh_detector: 94
Factor DiversityCategWatch from begemot
|
BegemotHasMisspell
web_fresh_detector: 95
Factor HasMisspell from begemot
|
BegemotErratumLogQueryProbability
web_fresh_detector: 96
Factor ErratumLogQueryProbability from begemot
|
BegemotMisspellLmNgrYandexDirectOriginal
web_fresh_detector: 97
Factor MisspellLmNgrYandexDirectOriginal from begemot
|
BegemotMisspellLmRtlNgrWebMtOriginal
web_fresh_detector: 98
Factor MisspellLmRtlNgrWebMtOriginal from begemot
|
BegemotYabarWordDepthNodesGradientMin
web_fresh_detector: 99
Factor YabarWordDepthNodesGradientMin from begemot
|
BegemotFractionOfQueriesWithGeoPredicted
web_fresh_detector: 100
Factor FractionOfQueriesWithGeoPredicted from begemot
|
BegemotIsLocalProbability
web_fresh_detector: 101
Factor IsLocalProbability from begemot
|
BegemotIsExactUrl
web_fresh_detector: 102
Factor IsExactUrl from begemot
|
BegemotIsRelevLocaleRU
web_fresh_detector: 103
Factor IsRelevLocaleRU from begemot
|
BegemotIsRelevLocaleUA
web_fresh_detector: 104
Factor IsRelevLocaleUA from begemot
|
BegemotIsRelevLocaleBY
web_fresh_detector: 105
Factor IsRelevLocaleBY from begemot
|
BegemotIsRelevLocaleKZ
web_fresh_detector: 106
Factor IsRelevLocaleKZ from begemot
|
BegemotIsRelevLocaleTR
web_fresh_detector: 107
Factor IsRelevLocaleTR from begemot
|
BegemotIsRelevLocaleID
web_fresh_detector: 108
Factor IsRelevLocaleID from begemot
|
BegemotIsRelevLocaleWORLD
web_fresh_detector: 109
Factor IsRelevLocaleWORLD from begemot
|
BegemotHasPornoQuery
web_fresh_detector: 110
Factor HasPornoQuery from begemot
|
BegemotQClassPornoVw
web_fresh_detector: 111
Factor QClassPornoVw from begemot
|
BegemotDssmVkPopularity
web_fresh_detector: 112
Factor DssmVkPopularity from begemot
|
BegemotDssmOnlinerPopularity
web_fresh_detector: 113
Factor DssmOnlinerPopularity from begemot
|
BegemotDssmRamblerPopularity
web_fresh_detector: 114
Factor DssmRamblerPopularity from begemot
|
BegemotDssmExpertcenPopularity
web_fresh_detector: 115
Factor DssmExpertcenPopularity from begemot
|
BegemotDssmSunhomePopularity
web_fresh_detector: 116
Factor DssmSunhomePopularity from begemot
|
BegemotRandomLogQueryAvgNews
web_fresh_detector: 117
Factor RandomLogQueryAvgNews from begemot
|
BegemotRandomLogQueryAvgAddTime
web_fresh_detector: 118
Factor RandomLogQueryAvgAddTime from begemot
|
BegemotRandomLogQueryAvgTxtHiRelSy
web_fresh_detector: 119
Factor RandomLogQueryAvgTxtHiRelSy from begemot
|
BegemotRandomLogQueryAvgTextLike
web_fresh_detector: 120
Factor RandomLogQueryAvgTextLike from begemot
|
BegemotRandomLogQueryAvgHasNoAllWordsTRSy
web_fresh_detector: 121
Factor RandomLogQueryAvgHasNoAllWordsTRSy from begemot
|
BegemotRandomLogQueryAvgIsForum
web_fresh_detector: 122
Factor RandomLogQueryAvgIsForum from begemot
|
BegemotRandomLogQueryAvgHasPayments
web_fresh_detector: 123
Factor RandomLogQueryAvgHasPayments from begemot
|
BegemotRandomLogQueryAvgYabarHostAvgTime2
web_fresh_detector: 124
Factor RandomLogQueryAvgYabarHostAvgTime2 from begemot
|
BegemotRandomLogQueryAvgYabarUrlVisitors
web_fresh_detector: 125
Factor RandomLogQueryAvgYabarUrlVisitors from begemot
|
BegemotRandomLogQueryAvgQueryDOwnerOnlyClickRate
web_fresh_detector: 126
Factor RandomLogQueryAvgQueryDOwnerOnlyClickRate from begemot
|
BegemotRandomLogQueryAvgDaterAge
web_fresh_detector: 127
Factor RandomLogQueryAvgDaterAge from begemot
|
BegemotRandomLogQueryAvgLongestText
web_fresh_detector: 128
Factor RandomLogQueryAvgLongestText from begemot
|
BegemotRandomLogQueryAvgDifferentInternalLinks
web_fresh_detector: 129
Factor RandomLogQueryAvgDifferentInternalLinks from begemot
|
BegemotRandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
web_fresh_detector: 130
Factor RandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg from begemot
|
BegemotRandomLogQueryAvgIsHub
web_fresh_detector: 131
Factor RandomLogQueryAvgIsHub from begemot
|
BegemotRandomLogQueryAvgIsTargetBussinessCard
web_fresh_detector: 132
Factor RandomLogQueryAvgIsTargetBussinessCard from begemot
|
BegemotRandomLogQueryAvgBM25_0
web_fresh_detector: 133
Factor RandomLogQueryAvgBM25_0 from begemot
|
BegemotRandomLogQueryAvgBocm
web_fresh_detector: 134
Factor RandomLogQueryAvgBocm from begemot
|
BegemotRandomLogQueryAvgIsIndexPage
web_fresh_detector: 135
Factor RandomLogQueryAvgIsIndexPage from begemot
|
BegemotRandomLogQueryAvgQueriesAvgCM2
web_fresh_detector: 136
Factor RandomLogQueryAvgQueriesAvgCM2 from begemot
|
BegemotRandomLogQueryAvgBrowserHostDownloadProbability
web_fresh_detector: 137
Factor RandomLogQueryAvgBrowserHostDownloadProbability from begemot
|
BegemotRandomLogQueryAvgRegBrowserUserHub
web_fresh_detector: 138
Factor RandomLogQueryAvgRegBrowserUserHub from begemot
|
BegemotRandomLogQueryAvgAuxTitleBM25
web_fresh_detector: 139
Factor RandomLogQueryAvgAuxTitleBM25 from begemot
|
BegemotRandomLogQueryAvgQueryUrlCorrectedCtrXfactor
web_fresh_detector: 140
Factor RandomLogQueryAvgQueryUrlCorrectedCtrXfactor from begemot
|
BegemotRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
web_fresh_detector: 141
Factor RandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384 from begemot
|
BegemotRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
web_fresh_detector: 142
Factor RandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize from begemot
|
BegemotRandomLogQueryClicksWeightedAvgIsMainPage
web_fresh_detector: 143
Factor RandomLogQueryClicksWeightedAvgIsMainPage from begemot
|
BegemotRandomLogQueryClicksWeightedAvgYabarUrlAvgTime
web_fresh_detector: 144
Factor RandomLogQueryClicksWeightedAvgYabarUrlAvgTime from begemot
|
BegemotRandomLogQueryClicksWeightedAvgDifferentInternalLinks
web_fresh_detector: 145
Factor RandomLogQueryClicksWeightedAvgDifferentInternalLinks from begemot
|
BegemotRandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
web_fresh_detector: 146
Factor RandomLogQueryDwelltimeWeightedAvgUrlDomainFraction from begemot
|
BegemotDssmQueryEmbeddingCtrNoMinerPca0
web_fresh_detector: 147
Factor DssmQueryEmbeddingCtrNoMinerPca0 from begemot
|
BegemotDssmQueryEmbeddingCtrNoMinerPca1
web_fresh_detector: 148
Factor DssmQueryEmbeddingCtrNoMinerPca1 from begemot
|
BegemotDssmQueryEmbeddingCtrNoMinerPca2
web_fresh_detector: 149
Factor DssmQueryEmbeddingCtrNoMinerPca2 from begemot
|
BegemotDssmQueryEmbeddingCtrNoMinerPca3
web_fresh_detector: 150
Factor DssmQueryEmbeddingCtrNoMinerPca3 from begemot
|
BegemotDssmQueryEmbeddingCtrNoMinerPca4
web_fresh_detector: 151
Factor DssmQueryEmbeddingCtrNoMinerPca4 from begemot
|
BegemotDssmQueryEmbeddingCtrNoMinerPca5
web_fresh_detector: 152
Factor DssmQueryEmbeddingCtrNoMinerPca5 from begemot
|
BegemotDssmQueryCountryToUrlEstimatedDistance
web_fresh_detector: 153
Factor DssmQueryCountryToUrlEstimatedDistance from begemot
|
BegemotDssmRandomLogQueryAvgNews
web_fresh_detector: 154
Factor DssmRandomLogQueryAvgNews from begemot
|
BegemotDssmRandomLogQueryAvgAddTime
web_fresh_detector: 155
Factor DssmRandomLogQueryAvgAddTime from begemot
|
BegemotDssmRandomLogQueryAvgTxtHiRelSy
web_fresh_detector: 156
Factor DssmRandomLogQueryAvgTxtHiRelSy from begemot
|
BegemotDssmRandomLogQueryAvgTextLike
web_fresh_detector: 157
Factor DssmRandomLogQueryAvgTextLike from begemot
|
BegemotDssmRandomLogQueryAvgHasNoAllWordsTRSy
web_fresh_detector: 158
Factor DssmRandomLogQueryAvgHasNoAllWordsTRSy from begemot
|
BegemotDssmRandomLogQueryAvgIsForum
web_fresh_detector: 159
Factor DssmRandomLogQueryAvgIsForum from begemot
|
BegemotDssmRandomLogQueryAvgHasPayments
web_fresh_detector: 160
Factor DssmRandomLogQueryAvgHasPayments from begemot
|
BegemotDssmRandomLogQueryAvgYabarHostAvgTime2
web_fresh_detector: 161
Factor DssmRandomLogQueryAvgYabarHostAvgTime2 from begemot
|
BegemotDssmRandomLogQueryAvgYabarUrlVisitors
web_fresh_detector: 162
Factor DssmRandomLogQueryAvgYabarUrlVisitors from begemot
|
BegemotDssmRandomLogQueryAvgQueryDOwnerOnlyClickRate
web_fresh_detector: 163
Factor DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate from begemot
|
BegemotDssmRandomLogQueryAvgDaterAge
web_fresh_detector: 164
Factor DssmRandomLogQueryAvgDaterAge from begemot
|
BegemotDssmRandomLogQueryAvgLongestText
web_fresh_detector: 165
Factor DssmRandomLogQueryAvgLongestText from begemot
|
BegemotDssmRandomLogQueryAvgDifferentInternalLinks
web_fresh_detector: 166
Factor DssmRandomLogQueryAvgDifferentInternalLinks from begemot
|
BegemotDssmRandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
web_fresh_detector: 167
Factor DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg from begemot
|
BegemotDssmRandomLogQueryAvgIsHub
web_fresh_detector: 168
Factor DssmRandomLogQueryAvgIsHub from begemot
|
BegemotDssmRandomLogQueryAvgIsTargetBussinessCard
web_fresh_detector: 169
Factor DssmRandomLogQueryAvgIsTargetBussinessCard from begemot
|
BegemotDssmRandomLogQueryAvgBM25_0
web_fresh_detector: 170
Factor DssmRandomLogQueryAvgBM25_0 from begemot
|
BegemotDssmRandomLogQueryAvgBocm
web_fresh_detector: 171
Factor DssmRandomLogQueryAvgBocm from begemot
|
BegemotDssmRandomLogQueryAvgIsIndexPage
web_fresh_detector: 172
Factor DssmRandomLogQueryAvgIsIndexPage from begemot
|
BegemotDssmRandomLogQueryAvgQueriesAvgCM2
web_fresh_detector: 173
Factor DssmRandomLogQueryAvgQueriesAvgCM2 from begemot
|
BegemotDssmRandomLogQueryAvgBrowserHostDownloadProbability
web_fresh_detector: 174
Factor DssmRandomLogQueryAvgBrowserHostDownloadProbability from begemot
|
BegemotDssmRandomLogQueryAvgRegBrowserUserHub
web_fresh_detector: 175
Factor DssmRandomLogQueryAvgRegBrowserUserHub from begemot
|
BegemotDssmRandomLogQueryAvgAuxTitleBM25
web_fresh_detector: 176
Factor DssmRandomLogQueryAvgAuxTitleBM25 from begemot
|
BegemotDssmRandomLogQueryAvgQueryUrlCorrectedCtrXfactor
web_fresh_detector: 177
Factor DssmRandomLogQueryAvgQueryUrlCorrectedCtrXfactor from begemot
|
BegemotDssmRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
web_fresh_detector: 178
Factor DssmRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384 from begemot
|
BegemotDssmRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
web_fresh_detector: 179
Factor DssmRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize from begemot
|
BegemotDssmRandomLogQueryClicksWeightedAvgIsMainPage
web_fresh_detector: 180
Factor DssmRandomLogQueryClicksWeightedAvgIsMainPage from begemot
|
BegemotDssmRandomLogQueryClicksWeightedAvgYabarUrlAvgTime
web_fresh_detector: 181
Factor DssmRandomLogQueryClicksWeightedAvgYabarUrlAvgTime from begemot
|
BegemotDssmRandomLogQueryClicksWeightedAvgDifferentInternalLinks
web_fresh_detector: 182
Factor DssmRandomLogQueryClicksWeightedAvgDifferentInternalLinks from begemot
|
BegemotDssmRandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
web_fresh_detector: 183
Factor DssmRandomLogQueryDwelltimeWeightedAvgUrlDomainFraction from begemot
|
BegemotRegionality5LocalizationProbability
web_fresh_detector: 184
Factor Regionality5LocalizationProbability from begemot
|
BegemotWordSumIdfSyn
web_fresh_detector: 185
Factor WordSumIdfSyn from begemot
|
BegemotDssmBoostingXfOneSeAmSsQueryMutationFeatures_DelSiteWordRenormedDistance
web_fresh_detector: 186
Factor DssmBoostingXfOneSeAmSsQueryMutationFeatures_DelSiteWordRenormedDistance from begemot
|
BegemotDssmBoostingXfOneSeAmSsQueryMutationFeatures_AddFixedYearWordRenormedDistance
web_fresh_detector: 187
Factor DssmBoostingXfOneSeAmSsQueryMutationFeatures_AddFixedYearWordRenormedDistance from begemot
|
BegemotDssmBoostingXfOneSeAmSsQueryMutationFeatures_AddOnlineWordRenormedDistance
web_fresh_detector: 188
Factor DssmBoostingXfOneSeAmSsQueryMutationFeatures_AddOnlineWordRenormedDistance from begemot
|
BegemotRandomLogWordFactors_RandomLogWordMaxHasNoTr
web_fresh_detector: 189
Factor RandomLogWordFactors_RandomLogWordMaxHasNoTr from begemot
|
BegemotRandomLogWordFactors_RandomLogWordMaxIsLJ
web_fresh_detector: 190
Factor RandomLogWordFactors_RandomLogWordMaxIsLJ from begemot
|
BegemotRandomLogWordFactors_RandomLogWordMinBclmLite
web_fresh_detector: 192
Factor RandomLogWordFactors_RandomLogWordMinBclmLite from begemot
|
BegemotRandomLogWordFactors_RandomLogWordSkipStopWordsMaxDBM40
web_fresh_detector: 193
Factor RandomLogWordFactors_RandomLogWordSkipStopWordsMaxDBM40 from begemot
|
BegemotRandomLogWordFactors_RandomLogWordSkipStopWordsMaxIsDesktopRequest
web_fresh_detector: 194
Factor RandomLogWordFactors_RandomLogWordSkipStopWordsMaxIsDesktopRequest from begemot
|
BegemotRandomLogWordFactors_RandomLogWordMaxRLQAvgHasNoAllWordsTrSyn
web_fresh_detector: 195
Factor RandomLogWordFactors_RandomLogWordMaxRLQAvgHasNoAllWordsTrSyn from begemot
|
BegemotRandomLogWordFactors_RandomLogWordMaxDssmAggregatedAnnReg
web_fresh_detector: 196
Factor RandomLogWordFactors_RandomLogWordMaxDssmAggregatedAnnReg from begemot
|
BegemotRandomLogWordFactors_RandomLogWordMaxMetaNumUrlsPerHostFixed
web_fresh_detector: 197
Factor RandomLogWordFactors_RandomLogWordMaxMetaNumUrlsPerHostFixed from begemot
|
BegemotRandomLogWordFactors_RandomLogWordSkipStopWordsMaxSDIsNavMxQueryMax
web_fresh_detector: 198
Factor RandomLogWordFactors_RandomLogWordSkipStopWordsMaxSDIsNavMxQueryMax from begemot
|
BegemotDssmGoogleSpecificity
web_fresh_detector: 199
Factor DssmGoogleSpecificity from begemot
|
BegemotKnnRandomLogQueryFactors_RandomLogQueryAvgAddTime
web_fresh_detector: 200
Factor KnnRandomLogQueryFactors_RandomLogQueryAvgAddTime from begemot
|
BegemotKnnRandomLogQueryFactors_RandomLogQueryAvgTxtHiRelSy
web_fresh_detector: 201
Factor KnnRandomLogQueryFactors_RandomLogQueryAvgTxtHiRelSy from begemot
|
BegemotKnnRandomLogQueryFactors_RandomLogQueryAvgTextLike
web_fresh_detector: 202
Factor KnnRandomLogQueryFactors_RandomLogQueryAvgTextLike from begemot
|
BegemotKnnRandomLogQueryFactors_RandomLogQueryAvgIsForum
web_fresh_detector: 203
Factor KnnRandomLogQueryFactors_RandomLogQueryAvgIsForum from begemot
|
BegemotKnnRandomLogQueryFactors_RandomLogQueryAvgHasPayments
web_fresh_detector: 204
Factor KnnRandomLogQueryFactors_RandomLogQueryAvgHasPayments from begemot
|
BegemotKnnRandomLogQueryFactors_RandomLogQueryAvgDifferentInternalLinks
web_fresh_detector: 205
Factor KnnRandomLogQueryFactors_RandomLogQueryAvgDifferentInternalLinks from begemot
|
BegemotKnnRandomLogQueryFactors_RandomLogQueryAvgIsTargetBussinessCard
web_fresh_detector: 206
Factor KnnRandomLogQueryFactors_RandomLogQueryAvgIsTargetBussinessCard from begemot
|
BegemotKnnRandomLogQueryFactors_RandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
web_fresh_detector: 207
Factor KnnRandomLogQueryFactors_RandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384 from begemot
|
BegemotKnnRandomLogQueryFactors_RandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
web_fresh_detector: 208
Factor KnnRandomLogQueryFactors_RandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize from begemot
|
WebIsDesktopRequest
web_fresh_detector: 209
IsDesktopRequest relevance factor for first doc in WEB answer
|
WebIsMobileRequest
web_fresh_detector: 210
IsMobileRequest relevance factor for first doc in WEB answer
|
WebIsTabletRequest
web_fresh_detector: 211
IsTabletRequest relevance factor for first doc in WEB answer
|
NewsDocLength
web_fresh_detector: 212
A number of unique words in a request.
|
NewsDocDeviationSum
web_fresh_detector: 213
Sigmoid, the sum of the deviations of the terms of the request
|
NewsDocCountSum
web_fresh_detector: 214
Sigmoid, the sum of the number of news articles for all query terms
|
NewsDocSpikeSum
web_fresh_detector: 215
Sigmoid, the sum of the 'peaks' of the query terms
|
NewsDocDeviationMax
web_fresh_detector: 216
The maximum (normalized) deviation for the term request, refined by sigmoid
|
NewsDocCountMax
web_fresh_detector: 217
The maximum number of news articles for 72 hours for the term of request for the term of request
|
NewsDocSpikeMax
web_fresh_detector: 218
The maximum 'peak' maximum maximum
|
NewsDocCoverage
web_fresh_detector: 219
The share of unique words from the request through the Terms, to which the response from the RTMR table was received
|
DssmLogDwellTimeBigramsDot
web_itditp: 606
|
DssmAggregatedAnnRegDot
web_itditp: 607
|
DssmMainContentKeywordsDot
web_itditp: 608
|
LanguagesMatch
web_itditp: 611
|
NationalDomainsMatch
web_itditp: 618
|
DssmBoostingXfWtd11Dot
web_itditp: 619
|
DssmBoostingXfWtd12Dot
web_itditp: 620
|
DssmBoostingXfWtd13Dot
web_itditp: 621
|
DssmBoostingXfWtd14Dot
web_itditp: 622
|
DssmBoostingXfWtd15Dot
web_itditp: 623
|
DssmBoostingXfWtd22Dot
web_itditp: 624
|
DssmBoostingXfWtd23Dot
web_itditp: 625
|
DssmBoostingXfWtd24Dot
web_itditp: 626
|
DssmBoostingXfWtd25Dot
web_itditp: 627
|
DssmBoostingXfWtd33Dot
web_itditp: 628
|
DssmBoostingXfWtd34Dot
web_itditp: 629
|
DssmBoostingXfWtd35Dot
web_itditp: 630
|
DssmBoostingXfWtd44Dot
web_itditp: 631
|
DssmBoostingXfWtd45Dot
web_itditp: 632
|
DssmBoostingXfWtd55Dot
web_itditp: 633
|
DssmBoostingXfOneDot
web_itditp: 634
|
DssmBoostingXfOneSeDot
web_itditp: 635
|
DssmBoostingCtrDot
web_itditp: 636
|
DssmBoostingXfOneSeAmSsHardDot
web_itditp: 657
|
DiffStaticRankAgs4
web_itditp: 658
|
DiffStaticVisitorsReturnMonthShare
web_itditp: 659
|
DiffStaticUBLongPeriodLatitude
web_itditp: 660
|
DiffStaticRankXitDoor
web_itditp: 661
|
DiffStaticFromSearchShareNormalized
web_itditp: 662
|
DssmLogDwellTimeBigramsL3Dot
web_itditp: 663
dot product of DocDssmLogDwellTimeBigramsL3Embedding for left and right urls
|
DssmLogDTBigramsAMHards
web_itditp: 748
|
IsDesktop
web_itditp: 751
Factor is request from desktop
|
DssmPantherTermsDot
web_itditp: 752
|
RandomFeature
web_itditp: 753
Random by (userId, timestampMinutes / 5) feature
|
RecDssmSpyTitleDomainCompressedEmb12Dot
web_itditp: 754
RecDssmSpyTitleDomainEmb12Dot
|
RecCFSharpDomainDot
web_itditp: 755
RecCFSharpDomainDot
|
WatchLogUserHistoryHostClusterDssmDot
web_itditp: 756
|
SpyLogUserHistoryHostClusterDssmDot
web_itditp: 757
|
IsMobile
web_itditp: 758
Factor is request from mobile
|
IsTablet
web_itditp: 759
Factor is request from tablet
|
IsWindows
web_itditp: 760
Factor is request from Windows
|
IsIos
web_itditp: 761
Factor is request from iOS
|
IsAndroid
web_itditp: 762
Factor is request from Android
|
IsOtherOs
web_itditp: 763
Factor is request from OS other than Windows, Linux, macOs, iOS or Android
|
IsLinux
web_itditp: 764
Factor is request from Linux
|
IsMacOs
web_itditp: 765
Factor is request from macOs
|
NormalizedMatchedTermCount
web_l1: 0
The number of terms by which a document was made up by the number of terms by which the document was fucked up, plus one
|
MatchedTermCountRatio
web_l1: 1
The number of terms by which a document divided into the total number of terms was fucked up
|
NormalizedPantherRelevance
web_l1: 2
Panther relevant, divided into panther relevant plus 256
|
PantherRelevanceDivTermCount
web_l1: 3
Panther relevantity divided by the number of terms in the request
|
PantherRelevanceDivWordCount
web_l1: 4
Panther relevantity divided by the number of words in the request
|
PantherRelevanceDivMatchedTermCount
web_l1: 5
Panther relevant, divided by the number of terms by which the document was fucked
|
PantherRelevanceDivMatchedWordCount
web_l1: 6
Panther relevant, divided by the number of words from the request, according to which the document was fucked
|
MatchedWordCount
web_l1: 7
The number of words from the request for which the document
|
MatchedWordCountRatio
web_l1: 8
The number of words from the request for which a document divided into the total number of words
|
L1DssmBigrams
web_l1: 9
DSSM model trained on clicks. Takes bigrams into account. Embeddings for documents are computed offline.
|
WordCount
web_l1: 10
Min (number of words of request/10, 1.f)
|
L1DssmMainContentKeywords
web_l1: 11
Query-MainContentKeywords similarity, target: logDwellTime
|
YnewsFreshness
web_l1: 12
Normalized freshness of the document. 1.0 - for just published documents, 0.0 - for documents over 5 days.
|
InvWordCount
web_l1: 24
1 / quantity_lov_v_
|
LongQuery
web_l1: 25
The amount of IDF words of the request. The name does not reflect the essence: for example, for the request of 'Gadyach' this factor will be more than for the request of 'Moscow Peter Yekaterinburg Samara'.
|
LongQuerySyn
web_l1: 26
The factor is an analogue of LongQuery (the sum of the IDF words of the request), but with the 'correct' accounting of synonyms. Specifically, a minimum of IDF (i.e. the most frequent) of synonyms and words is selected.
|
PopularQ
web_l1: 27
The popularity of the request
|
QDiversity
web_l1: 28
The degree of centralization of the points from which the request is set
|
AvgSessionLen
web_l1: 29
The average length of the logical session in which there was a request
|
CountryPopularQ
web_l1: 30
The popularity of the request within the country
|
QueryCommercialityMx
web_l1: 31
The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))
|
IsNavMxQuery
web_l1: 32
Rank 'navigation'
|
VideoQuery
web_l1: 33
Request about the video
|
QueryRegionSize
web_l1: 34
The size of the region of the request
|
QueryThVideohosting
web_l1: 35
The result of the work of the lexical classifier of requests predicting the likelihood of click on the page 3973 page
|
QueryThEncyclopedic
web_l1: 36
The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561
|
IsGeo
web_l1: 37
It launches on the basic search under the name ISGEO the maximum weight of the meters of the gelator in the request. A geo-object is understood as an object of the category GEO, Geo1, Geoaddr, Geoaddr1, Landmark, Landmark1 (see ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects kaovsky allocation))))))))))))))))))))))))))))))). wiki.yandex-team.ru/arsengadzhikurbanov/wares Read more))
|
IsOrg
web_l1: 38
The request is the name of the organization (example: Gazprom, Gazprom) ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees Description))
|
IsText
web_l1: 39
It launches on the basic search under the name ISTEXT the maximum weight of the TEXT or Text1 category of the category of the category met in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#istext more)))
|
IsPicture
web_l1: 40
It launches on the basic search under the name Ispicture the maximum weight of the Picture or Picture1 category of the category of the category of the category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ispicture))))))))))))))))))
|
MinOne
web_l1: 41
Returns the maximum degree of household objects in the request under the name Wminone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#minone more)))))
|
MaxOne
web_l1: 42
Returns the maximum degree of household objects in the request under the name Wmaxone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#maxone more)))))))
|
QClassDownload
web_l1: 43
= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen
|
QClassKak
web_l1: 44
question
|
ExpectedFound
web_l1: 45
Expected number of found on request
|
ErratumLogQueryProbability
web_l1: 46
Double logarithm of the probability of a request for a language model of the Erratum typo service
|
YabarWordDepthNodesGradientMin
web_l1: 47
The angle in the Depth Nodes space, counted only by words (min for all)
|
FractionOfQueriesWithGeoPredicted
web_l1: 48
Prediction of a share of requests with geography on a bag of words built for request
|
IsLocalProbability
web_l1: 49
The value of the classifier of localization for request
|
QClassPornoVw
web_l1: 50
Porn query classification result from Wizard (iad_vw flag, based on Vowpal Wabbit)
|
IsHum
web_l1: 51
It launches on the basic search under the name ISHUM the maximum weight of the enclosed object of the Hum or Hum1 category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ishum more)))))
|
DssmBoostingXfOneSeKMeans1Score
web_l1: 52
Dssm Boosting Score aggregation for XfOneSe model over 1-means centroids.
|
CountryQDiversity
web_l1: 53
The degree of centralization of the points from which the request is set (inside the country)
|
DssmBoostingXfOneSeKMeans1ScoreScaledSumWeighted
web_l1: 54
Dssm Boosting ScoreScaledSumWeighted aggregation for XfOneSe model over 1-means centroids.
|
DssmBoostingXfOneSeKMeans1ScoreAvgNearest5Weighted
web_l1: 55
Dssm Boosting ScoreAvgNearest5Weighted aggregation for XfOneSe model over 1-means centroids.
|
MatchedWordsIdf
web_l1: 58
The amount of IDF words by which a document divided into a total IDF was fucked up
|
NormalizedMatchedTermCountMax
web_l1: 64
MAX of FI_NORMALIZED_MATCHED_TERM_COUNT
|
NormalizedMatchedTermCountQ99
web_l1: 65
|
MatchedTermCountRatioMax
web_l1: 66
|
MatchedTermCountRatioQ95
web_l1: 67
|
NormalizedPantherRelevanceMax
web_l1: 68
|
NormalizedPantherRelevanceMetaRatioMax
web_l1: 69
|
NormalizedPantherRelevanceAvg
web_l1: 70
|
NormalizedPantherRelevanceQ90
web_l1: 71
|
NormalizedPantherRelevanceQ95
web_l1: 72
|
NormalizedPantherRelevanceQ99
web_l1: 73
|
PantherRelevanceDivTermCountMax
web_l1: 74
|
PantherRelevanceDivTermCountMetaRatioMax
web_l1: 75
|
PantherRelevanceDivTermCountQ95
web_l1: 76
|
PantherRelevanceDivTermCountQ99
web_l1: 77
|
PantherRelevanceDivTermCountMetaRatioQ99
web_l1: 78
|
PantherRelevanceDivWordCountMax
web_l1: 79
|
PantherRelevanceDivWordCountMetaRatioMax
web_l1: 80
|
PantherRelevanceDivWordCountQ80
web_l1: 81
|
PantherRelevanceDivWordCountQ95
web_l1: 82
|
PantherRelevanceDivWordCountQ99
web_l1: 83
|
PantherRelevanceDivWordCountMetaRatioQ99
web_l1: 84
|
PantherRelevanceDivMatchedTermCountMin
web_l1: 85
|
PantherRelevanceDivMatchedTermCountMetaRatioMin
web_l1: 86
|
PantherRelevanceDivMatchedTermCountQ10
web_l1: 87
|
PantherRelevanceDivMatchedTermCountMetaRatioQ10
web_l1: 88
|
PantherRelevanceDivMatchedWordCountMin
web_l1: 89
|
PantherRelevanceDivMatchedWordCountMetaRatioMin
web_l1: 90
|
PantherRelevanceDivMatchedWordCountMax
web_l1: 91
|
PantherRelevanceDivMatchedWordCountMetaRatioMax
web_l1: 92
|
PantherRelevanceDivMatchedWordCountAvg
web_l1: 93
|
PantherRelevanceDivMatchedWordCountQ95
web_l1: 94
|
PantherRelevanceDivMatchedWordCountMetaRatioQ95
web_l1: 95
|
PantherRelevanceDivMatchedWordCountQ99
web_l1: 96
|
L1DssmBigramsMin
web_l1: 97
|
L1DssmBigramsMetaRatioMin
web_l1: 98
|
L1DssmBigramsMax
web_l1: 99
|
L1DssmBigramsMetaRatioMax
web_l1: 100
|
L1DssmBigramsAvg
web_l1: 101
|
L1DssmBigramsQ90
web_l1: 102
|
L1DssmBigramsMetaRatioQ90
web_l1: 103
|
L1DssmBigramsQ95
web_l1: 104
|
L1DssmBigramsMetaRatioQ95
web_l1: 105
|
L1DssmBigramsQ99
web_l1: 106
|
L1DssmBigramsMetaRatioQ99
web_l1: 107
|
MatchedWordsIdfMin
web_l1: 108
|
MatchedWordsIdfMax
web_l1: 109
|
MatchedWordsIdfMetaRatioQ10
web_l1: 110
|
MatchedWordsIdfQ70
web_l1: 111
|
MatchedWordsIdfMetaRatioQ70
web_l1: 112
|
MatchedWordsIdfMetaRatioQ80
web_l1: 113
|
MatchedWordsIdfQ90
web_l1: 114
|
MatchedWordsIdfMetaRatioQ90
web_l1: 115
|
MatchedWordsIdfQ95
web_l1: 116
|
MatchedWordsIdfMetaRatioQ95
web_l1: 117
|
MatchedWordsIdfQ99
web_l1: 118
|
MatchedWordsIdfMetaRatioQ99
web_l1: 119
|
L1DssmPantherTerms
web_l1: 120
|
UrlCosineMatchMaxPrediction
web_l2: 0
Linguistic boosting factor.
|
UrlAttenV1Bm15K05
web_l2: 1
Linguistic boosting factor.
|
TitleBclmMixPlainK000001
web_l2: 2
Linguistic boosting factor.
|
TitleBocm15K001
web_l2: 3
Linguistic boosting factor.
|
TitleCMMatchTop5AvgMatchValue
web_l2: 4
Linguistic boosting factor.
|
TitleWordCoverageForm
web_l2: 5
Linguistic boosting factor.
|
TitleAttenV1Bm15K05
web_l2: 6
Linguistic boosting factor.
|
BodyBclmMixPlainK000001
web_l2: 7
Linguistic boosting factor.
|
BodyCosineMatchMaxPrediction
web_l2: 8
Linguistic boosting factor.
|
BodyAllWcmWeightedPrediction
web_l2: 9
Linguistic boosting factor.
|
BodyBocm15K0_01
web_l2: 10
Linguistic boosting factor.
|
BodyQueryPartMatchSumValueAny
web_l2: 11
Linguistic boosting factor.
|
BodyWordCoverageForm
web_l2: 12
Linguistic boosting factor.
|
BodyWordCoverageExact
web_l2: 13
Linguistic boosting factor.
|
BodyBm15MaxAnnotationK0_01
web_l2: 14
Linguistic boosting factor.
|
QfufAllSumW2FSumWFullTextPerWordCMMaxPredictionMin
web_l2: 15
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The amount by the square of the expansion, multiplied by the value of the factor. Normalized for the total weight of extensions. Compositional TR-Like stream, which includes URL, headline, and the body of the document. PerwordCmmaxMatchMin algorithm: At least according to the maximum of the CMMAXMATCH weight abstracts.
|
QfufAllMaxFFullTextBocm15K001
web_l2: 16
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest value of the factor. Compositional TR-Like stream, which includes URL, headline, and the body of the document. Algorithm for aggregation of the scales of words BOCM15. Normalization coefficient 0.01.
|
QfufAllMaxFFullTextBclmWeightedProximity1Bm15Size1K0001
web_l2: 17
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest value of the factor. Compositional TR-Like stream, which includes URL, headline, and the body of the document. Word Libra aggregation algorithm: BCLMWEIDEDPROXIMITY1BM15SIZE1. Normalization coefficient 0.001.
|
QfufAllMaxFFullTextTRBclmLite
web_l2: 18
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest value of the factor. Compositional TR-Like stream, which includes URL, headline, and the body of the document. The algorithm for aggregation of the scales of words: bclmlite, adaptation of the corresponding TR factor.
|
QfufAllMaxWFSumWFullTextAllWcmMatch80AvgValue
web_l2: 19
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The greatest balanced value of the factor. Normalized for the total weight of extensions. Compositional TR-Like stream, which includes URL, headline, and the body of the document. The sum of the scales of words, balanced by the weight of the annotation, is normalized for the sum of the scales of words. Only annotations are calculated, on which the sum of words of words is more than 80%.
|
QfufTopSumWFSumWFullTextBocm15K001
web_l2: 20
Linguistic boosting factor. Type of extensions: QFUF. Aggregation by TOP-10 (by the value of the factor) extensions. A suspended sum of the Libra of factors. Normalized for the total weight of extensions. Compositional TR-Like stream, which includes URL, headline, and the body of the document. Algorithm for aggregation of the scales of words BOCM15. Normalization coefficient 0.01.
|
QfufAllSumW2FSumWFullTextTRBclmLite
web_l2: 21
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. The amount by the square of the expansion, multiplied by the value of the factor. Normalized for the total weight of extensions. Compositional TR-Like stream, which includes URL, headline, and the body of the document. The algorithm for aggregation of the scales of words: bclmlite, adaptation of the corresponding TR factor.
|
QfufAllSumWFSumWFullTextPerWordCMMaxPredictionMin
web_l2: 22
Linguistic boosting factor. Type of extensions: QFUF. Aggregation on all extensions. A suspended sum of the Libra of factors. Normalized for the total weight of extensions. Compositional TR-Like stream, which includes URL, headline, and the body of the document. PerwordCmmaxMatchMin algorithm: At least according to the maximum of the CMMAXMATCH weight abstracts.
|
QueryToTextTopMinFBodyWordCoverageExact
web_l2: 23
Linguistic boosting factor.
|
QueryToTextAllMaxWFSumWBodyAllWcmWeightedValue
web_l2: 24
Linguistic boosting factor.
|
OriginalRequestLinkAnnFloatMultiplicityAllWcmWeightedPrediction
web_l2: 25
|
OriginalRequestLinkAnnFloatMultiplicityCMMatchTop5AvgMatch
web_l2: 26
|
OriginalRequestLinkAnnFloatMultiplicityCMMatchTop5AvgValue
web_l2: 27
|
OriginalRequestLinkAnnFloatMultiplicityPerWordCMMaxPredictionMin
web_l2: 28
|
OriginalRequestLinkAnnIndicatorAllWcmWeightedPrediction
web_l2: 29
|
OriginalRequestLinkAnnIndicatorAnnotationMaxValueWeighted
web_l2: 30
|
OriginalRequestLinkAnnIndicatorBm15MaxAnnotationK001
web_l2: 31
|
OriginalRequestLinkAnnIndicatorCosineMatchMaxPrediction
web_l2: 32
|
RequestWithRegionNameLinkAnnFloatMultiplicityAllWcmWeightedPrediction
web_l2: 33
|
RequestWithRegionNameLinkAnnFloatMultiplicityBm15MaxAnnotationK001
web_l2: 34
|
RequestWithRegionNameLinkAnnFloatMultiplicityBocm15K001
web_l2: 35
|
RequestWithRegionNameLinkAnnFloatMultiplicityCMMatchTop5AvgPrediction
web_l2: 36
|
RequestWithRegionNameLinkAnnFloatMultiplicityCMMatchTop5AvgValue
web_l2: 37
|
RequestWithRegionNameLinkAnnIndicatorAllWcmWeightedPrediction
web_l2: 38
|
RequestWithRegionNameLinkAnnIndicatorAnnotationMaxValueWeighted
web_l2: 39
|
RequestWithRegionNameLinkAnnIndicatorBm15MaxAnnotationK001
web_l2: 40
|
RequestWithRegionNameLinkAnnIndicatorCMMatchTop5AvgPrediction
web_l2: 41
|
RequestWithRegionNameLinkAnnIndicatorCosineMatchMaxPrediction
web_l2: 42
|
RequestWithRegionNameLinkAnnIndicatorWordCoverageExact
web_l2: 43
|
OriginalRequestFullTextTRTxtBm25ExactK1
web_l2: 44
|
OriginalRequestFullTextTRTxtBm25K1
web_l2: 45
|
OriginalRequestFullTextTRTxtBm25SynonymW1K1
web_l2: 46
|
OriginalRequestFullTextTRTextForms
web_l2: 47
|
OriginalRequestFullTextTRTextWeightedForms
web_l2: 48
|
OriginalRequestFullTextTRNumWordsSynonym
web_l2: 49
|
OriginalRequestFullTextOldTRAttenTRTxtBm25SynonymK1
web_l2: 50
|
OriginalRequestFullTextTxtHeadTRTxtBm25SynonymK0
web_l2: 51
|
OriginalRequestFullTextTxtHeadTRTxtBm25ExactK0
web_l2: 52
|
OriginalRequestFullTextTxtHeadTRTxtBm25K0
web_l2: 53
|
OriginalRequestFullTextTxtHiRelTRTxtBm25SynonymK0
web_l2: 54
|
OriginalRequestFullTextTxtHiRelTRTxtBm25ExactK0
web_l2: 55
|
OriginalRequestFullTextTxtHiRelTRTxtBm25K0
web_l2: 56
|
OriginalRequestFullTextTRBclmLite
web_l2: 57
|
OriginalRequestFullTextTRTxtPair
web_l2: 58
|
OriginalRequestFullTextTRTxtPairExact
web_l2: 59
|
OriginalRequestFullTextTRTxtPairW1
web_l2: 60
|
OriginalRequestFullTextTRTxtBreakSynonym
web_l2: 61
|
PantherTermsDssmModelQfufLbTop5MinWF
web_l2: 62
DSSM model of panther terms. Embed -expanded bar are used for L2. Top5 QFUF of Cosine proximity to the Embed document is filtered. As a factor, a minimum of the weight of the expansion of proximity is used.
|
PantherTermsDssmModelQfufLbTop5SumWFNormedSumW
web_l2: 63
DSSM model of panther terms. Embed -expanded bar are used for L2. Top5 QFUF of Cosine proximity to the Embed document is filtered. Next, the weighed amount of proximity is calculated, the weight of the expansion is used in the quality of weight, normalized for the amount of the weights of filtered extensions.
|
PantherTermsDssmModelQfufLbSumFNormedCount
web_l2: 64
DSSM model of panther terms. Embed -expanded bar are used for L2. As a factor, the average proximity to the Embed of the document is used.
|
PantherTermsDssmModelQfufLbMinWF
web_l2: 65
DSSM model of panther terms. Embed -expanded bar are used for L2. As a factor, a minimum of the weight of the expansion of proximity is used.
|
IsConstraintPassed
web_l2: 72
In the case of the presence of concrete, 1 is affixed upon their passage, otherwise 0.5, in the absence of 0
|
TelFullAttributeTextBocm15K001
web_l2: 73
The factor for telephone attributes Tel_Full from the original request text of the document. Algorithm for aggregation of the scales of words BOCM15. Normalization coefficient 0.01.
|
DssmFullSplitBert
web_l2: 74
|
AliceAramusicDssmL2
web_l2: 76
|
LeftRightPairUrlAvgDwellTime
web_meta_itditp: 0
|
LeftRightPairUrlClicks
web_meta_itditp: 1
|
LeftRightPairUrlClicks120
web_meta_itditp: 2
|
LeftRightPairUrlClicks30
web_meta_itditp: 3
|
LeftRightPairUrlClicks60
web_meta_itditp: 4
|
LeftRightPairUrlCtr
web_meta_itditp: 5
|
LeftRightPairUrlCtr120
web_meta_itditp: 6
|
LeftRightPairUrlCtr30
web_meta_itditp: 7
|
LeftRightPairUrlCtr60
web_meta_itditp: 8
|
LeftRightPairUrlFrc
web_meta_itditp: 9
|
LeftRightPairUrlFrc120
web_meta_itditp: 10
|
LeftRightPairUrlFrc30
web_meta_itditp: 11
|
LeftRightPairUrlFrc60
web_meta_itditp: 12
|
LeftRightPairUrlShows
web_meta_itditp: 13
|
LeftPairUrlAvgDwellTime
web_meta_itditp: 14
|
LeftPairUrlClicks
web_meta_itditp: 15
|
LeftPairUrlClicks120
web_meta_itditp: 16
|
LeftPairUrlClicks30
web_meta_itditp: 17
|
LeftPairUrlClicks60
web_meta_itditp: 18
|
LeftPairUrlCtr
web_meta_itditp: 19
|
LeftPairUrlCtr120
web_meta_itditp: 20
|
LeftPairUrlCtr30
web_meta_itditp: 21
|
LeftPairUrlCtr60
web_meta_itditp: 22
|
LeftPairUrlFrc
web_meta_itditp: 23
|
LeftPairUrlFrc120
web_meta_itditp: 24
|
LeftPairUrlFrc30
web_meta_itditp: 25
|
LeftPairUrlFrc60
web_meta_itditp: 26
|
LeftPairUrlShows
web_meta_itditp: 27
|
RightPairUrlAvgDwellTime
web_meta_itditp: 28
|
RightPairUrlClicks
web_meta_itditp: 29
|
RightPairUrlClicks120
web_meta_itditp: 30
|
RightPairUrlClicks30
web_meta_itditp: 31
|
RightPairUrlClicks60
web_meta_itditp: 32
|
RightPairUrlCtr
web_meta_itditp: 33
|
RightPairUrlCtr120
web_meta_itditp: 34
|
RightPairUrlCtr30
web_meta_itditp: 35
|
RightPairUrlCtr60
web_meta_itditp: 36
|
RightPairUrlFrc
web_meta_itditp: 37
|
RightPairUrlFrc120
web_meta_itditp: 38
|
RightPairUrlFrc30
web_meta_itditp: 39
|
RightPairUrlFrc60
web_meta_itditp: 40
|
RightPairUrlShows
web_meta_itditp: 41
|
LeftRightPairHostsAvgDwellTime
web_meta_itditp: 42
|
LeftRightPairHostsClicks
web_meta_itditp: 43
|
LeftRightPairHostsClicks120
web_meta_itditp: 44
|
LeftRightPairHostsClicks30
web_meta_itditp: 45
|
LeftRightPairHostsClicks60
web_meta_itditp: 46
|
LeftRightPairHostsCtr
web_meta_itditp: 47
|
LeftRightPairHostsCtr120
web_meta_itditp: 48
|
LeftRightPairHostsCtr30
web_meta_itditp: 49
|
LeftRightPairHostsCtr60
web_meta_itditp: 50
|
LeftRightPairHostsFrc
web_meta_itditp: 51
|
LeftRightPairHostsFrc120
web_meta_itditp: 52
|
LeftRightPairHostsFrc30
web_meta_itditp: 53
|
LeftRightPairHostsFrc60
web_meta_itditp: 54
|
LeftRightPairHostsShows
web_meta_itditp: 55
|
LeftPairHostsAvgDwellTime
web_meta_itditp: 56
|
LeftPairHostsClicks
web_meta_itditp: 57
|
LeftPairHostsClicks120
web_meta_itditp: 58
|
LeftPairHostsClicks30
web_meta_itditp: 59
|
LeftPairHostsClicks60
web_meta_itditp: 60
|
LeftPairHostsCtr
web_meta_itditp: 61
|
LeftPairHostsCtr120
web_meta_itditp: 62
|
LeftPairHostsCtr30
web_meta_itditp: 63
|
LeftPairHostsCtr60
web_meta_itditp: 64
|
LeftPairHostsFrc
web_meta_itditp: 65
|
LeftPairHostsFrc120
web_meta_itditp: 66
|
LeftPairHostsFrc30
web_meta_itditp: 67
|
LeftPairHostsFrc60
web_meta_itditp: 68
|
LeftPairHostsShows
web_meta_itditp: 69
|
RightPairHostsAvgDwellTime
web_meta_itditp: 70
|
RightPairHostsClicks
web_meta_itditp: 71
|
RightPairHostsClicks120
web_meta_itditp: 72
|
RightPairHostsClicks30
web_meta_itditp: 73
|
RightPairHostsClicks60
web_meta_itditp: 74
|
RightPairHostsCtr
web_meta_itditp: 75
|
RightPairHostsCtr120
web_meta_itditp: 76
|
RightPairHostsCtr30
web_meta_itditp: 77
|
RightPairHostsCtr60
web_meta_itditp: 78
|
RightPairHostsFrc
web_meta_itditp: 79
|
RightPairHostsFrc120
web_meta_itditp: 80
|
RightPairHostsFrc30
web_meta_itditp: 81
|
RightPairHostsFrc60
web_meta_itditp: 82
|
RightPairHostsShows
web_meta_itditp: 83
|
RightDssmLogDwellRegChain
web_meta_itditp: 85
|
SDPRSWeightPercent
web_meta_itditp: 86
The ratio of the weight amount of the similarity of the documents of those who fell into PRS to all similar to this
|
SDPRSPercent
web_meta_itditp: 87
The percentage of documents similar to these PRS
|
SDPRSWeight
web_meta_itditp: 88
The total weight of documents similar to PRS
|
SDPRSCnt
web_meta_itditp: 89
The number of documents similar to PRS
|
SDPRSMaxWeight
web_meta_itditp: 90
MacStmal weight of documents similar to this in PRS
|
SDPRSClusterSize
web_meta_itditp: 91
Cluster size (found using a search in depth) which includes a document
|
SDLeftdocWeight
web_meta_itditp: 92
The weight of similar documents in PRS compared to LEFT DOC
|
SDLeftdocClusterDist
web_meta_itditp: 93
Distance to Left DOC inside its cluster
|
MutualSerpSimSftPrsWeightPercent
web_meta_itditp: 94
Similar documents, type of similarity: mutualserp. The ratio of the weight amount of the similarity of the documents of those who fell into PRS to all similar to this
|
MutualSerpSimSftPrsPercent
web_meta_itditp: 95
Similar documents, type of similarity: mutualserp. The percentage of documents similar to these PRS
|
MutualSerpSimSftPrsClusterSize
web_meta_itditp: 99
Similar documents, type of similarity: mutualserp. Cluster size (found using a search in depth) which includes a document
|
MutualSerpSimGftHaveSimilarCnt
web_meta_itditp: 100
Similar documents, type of similarity: mutualserp. The number of documents from PRS has at least one similar document on the same PRS
|
MutualSerpSimSFTLeftdocWeight
web_meta_itditp: 101
Similar documents, type of similarity: mutualserp. The weight of similar documents in PRS compared to LEFT DOC
|
MutualSerpSimSFTLeftdocClusterDist
web_meta_itditp: 102
Similar documents, type of similarity: mutualserp. Distance to Left DOC inside its cluster
|
MetaMetaResidDssmLogDwellTimeBigramsDot
web_meta_itditp: 104
Meta:Resid metafactor on web_itditp:DssmLogDwellTimeBigramsDot(606)
|
MetaSDDFT_GREATER_CNTDssmBoostingXfOneSeAmSsHardDot
web_meta_itditp: 106
SD:DFT_GREATER_CNT metafactor on web_itditp:DssmBoostingXfOneSeAmSsHardDot(657)
|
RightUserPairUrlAvgDwellTime
web_meta_itditp: 107
|
RightUserPairUrlClicks
web_meta_itditp: 108
|
RightUserPairUrlClicks120
web_meta_itditp: 109
|
RightUserPairUrlClicks30
web_meta_itditp: 110
|
RightUserPairUrlClicks60
web_meta_itditp: 111
|
RightUserPairUrlCtr
web_meta_itditp: 112
|
RightUserPairUrlCtr120
web_meta_itditp: 113
|
RightUserPairUrlCtr30
web_meta_itditp: 114
|
RightUserPairUrlCtr60
web_meta_itditp: 115
|
RightUserPairUrlFrc
web_meta_itditp: 116
|
RightUserPairUrlFrc120
web_meta_itditp: 117
|
RightUserPairUrlFrc30
web_meta_itditp: 118
|
RightUserPairUrlFrc60
web_meta_itditp: 119
|
RightUserPairUrlShows
web_meta_itditp: 120
|
RightUserPairHostsAvgDwellTime
web_meta_itditp: 121
|
RightUserPairHostsClicks
web_meta_itditp: 122
|
RightUserPairHostsClicks120
web_meta_itditp: 123
|
RightUserPairHostsClicks30
web_meta_itditp: 124
|
RightUserPairHostsClicks60
web_meta_itditp: 125
|
RightUserPairHostsCtr
web_meta_itditp: 126
|
RightUserPairHostsCtr120
web_meta_itditp: 127
|
RightUserPairHostsCtr30
web_meta_itditp: 128
|
RightUserPairHostsCtr60
web_meta_itditp: 129
|
RightUserPairHostsFrc
web_meta_itditp: 130
|
RightUserPairHostsFrc120
web_meta_itditp: 131
|
RightUserPairHostsFrc30
web_meta_itditp: 132
|
RightUserPairHostsFrc60
web_meta_itditp: 133
|
RightUserPairHostsShows
web_meta_itditp: 134
|
MetaMetaResidMinDssmLogDwellTimeBigramsDot
web_meta_itditp: 143
Meta:ResidMin metafactor on web_itditp:DssmLogDwellTimeBigramsDot(606)
|
MetaMutualSerpDFT_MAXDssmBoostingXfWtd45Dot
web_meta_itditp: 144
MutualSerp:DFT_MAX metafactor on web_itditp:DssmBoostingXfWtd45Dot(632)
|
HasImage
web_meta_itditp: 148
Points if url has image in snippet in SaaS. The same as snippet in QuerySearchResponse rearrange
|
PantherDwelltimeDot
web_meta_itditp: 149
|
NanobtaniumN10WeightedMeanRandomLogHostSyntQualityAvg
web_meta_itditp: 150
|
NanobtaniumN10MinRandomLogHostSyntQualityAvg
web_meta_itditp: 151
|
NanobtaniumN10MaxDssmBoostingXfWtd55Dot
web_meta_itditp: 152
|
NanobtaniumN10WeightedMeanRandomLogHostQfufAllSumWFSumWFieldSet3BclmWeightedFLogW0K0001Perc90
web_meta_itditp: 153
|
NanobtaniumN10WeightedMeanRandomLogHostQueryToDocAllSumFCountTextBocm11Norm256Avg
web_meta_itditp: 154
|
NanobtaniumN10WeightedMeanRandomLogHostIsNavMxQueryPerc90
web_meta_itditp: 155
|
NanobtaniumN10MinRandomLogHostDBM15Wares2Avg
web_meta_itditp: 156
|
NanobtaniumN10MaxRandomLogHostDssmBoostingCtrKMeans1ScoreScaledSumWeightedQEPerc25
web_meta_itditp: 157
|
NanobtaniumN10WeightedMeanRandomLogHostDssmVkPopularityPerc25
web_meta_itditp: 158
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120LessUserHistory
web_meta_itditp: 166
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120MoreUserHistory
web_meta_itditp: 167
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120LessUserHistory
web_meta_itditp: 168
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120MoreUserHistory
web_meta_itditp: 169
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120LessUserHistory
web_meta_itditp: 170
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120MoreUserHistory
web_meta_itditp: 171
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120LessSpyLog
web_meta_itditp: 178
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120MoreSpyLog
web_meta_itditp: 179
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120LessSpyLog
web_meta_itditp: 180
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120MoreSpyLog
web_meta_itditp: 181
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120LessSpyLog
web_meta_itditp: 182
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120MoreSpyLog
web_meta_itditp: 183
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120LessWatchLog
web_meta_itditp: 190
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120MoreWatchLog
web_meta_itditp: 191
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120LessWatchLog
web_meta_itditp: 192
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120MoreWatchLog
web_meta_itditp: 193
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120LessWatchLog
web_meta_itditp: 194
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120MoreWatchLog
web_meta_itditp: 195
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
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DifferentTrigramsCountPrevQCurQRealtime
web_meta_pers: 6
Saturated number of different trigrams for current and previous query by realtime user_actions
|
DifferentWordsCountPrevQCurQRealtime
web_meta_pers: 7
Saturated number of different words in current and previous query by realtime user_actions
|
CurQSessionMatchingTrigramsRealtime
web_meta_pers: 8
Sat(MatchingTrigramsAmount(current request, user requests)), realtime user_actions
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CurQSessionBm25FixedRealtime
web_meta_pers: 9
Sat(BM25(current query, user requests)) by realtime user_actions
|
FadingEmbLogDwelltimeBigramsDocXQuery01daysDwt120Less
web_meta_pers: 10
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDocXQuery01daysDwt120More
web_meta_pers: 11
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDocXQuery05daysDwt120Less
web_meta_pers: 12
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDocXQuery05daysDwt120More
web_meta_pers: 13
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDocXQuery3daysDwt120Less
web_meta_pers: 14
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDocXQuery3daysDwt120More
web_meta_pers: 15
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
|
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120LessTopavg1
web_meta_pers: 26
Top1 weighted average cosine similarity between query embedding and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime more than 120sec)
|
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120MoreTopavg1
web_meta_pers: 27
Top1 weighted average cosine similarity between query embedding and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime less than 120sec)
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ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120LessTopavg2
web_meta_pers: 28
Top2 weighted average cosine similarity between query embedding and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime more than 120sec)
|
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120MoreTopavg2
web_meta_pers: 29
Top2 weighted average cosine similarity between query embedding and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime less than 120sec)
|
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120LessCounter30
web_meta_pers: 30
cnt / (1 + cnt), cnt = sum of weights where cosine between query embedding and clustered embedding of documents from user_history > 0.30 (model=LogDwellTimeBigrams, dwelltime more than 120sec)
|
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120MoreCounter30
web_meta_pers: 31
cnt / (1 + cnt), cnt = sum of weights where cosine between query embedding and clustered embedding of documents from user_history > 0.30 (model=LogDwellTimeBigrams, dwelltime less than 120sec)
|
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120LessCounter60
web_meta_pers: 32
cnt / (1 + cnt), cnt = sum of weights where cosine between query embedding and clustered embedding of documents from user_history > 0.60 (model=LogDwellTimeBigrams, dwelltime more than 120sec)
|
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120MoreCounter60
web_meta_pers: 33
cnt / (1 + cnt), cnt = sum of weights where cosine between query embedding and clustered embedding of documents from user_history > 0.60 (model=LogDwellTimeBigrams, dwelltime less than 120sec)
|
QIsSameAsPrevQRealtime
web_meta_pers: 36
Normalized query equals to previous one in session by realtime user_actions
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120Less
web_meta_pers: 37
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120More
web_meta_pers: 38
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120Less
web_meta_pers: 39
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120More
web_meta_pers: 40
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120Less
web_meta_pers: 41
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120More
web_meta_pers: 42
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
|
TimeBetweenPrevAndCurQ
web_meta_pers: 43
Saturated time between current and previous query
|
LogDwelltimeUserAllClicksDwt0allXQueryEmbMaxScoreXWeight
web_meta_pers: 44
DotProducts = (all click embeddings from user_history) * QueryEmb, Take top1 weighted DotProduct
|
LogDwelltimeUserAllClicksDwt0allXDocEmbMaxScoreXWeight
web_meta_pers: 45
DotProducts = (all click embeddings from user_history) * DocEmb, Take top1 weighted DotProduct
|
LogDwelltimeUserAllClicksDwt60lessXDocEmbMaxScoreXWeight
web_meta_pers: 46
DotProducts = (all click embeddings from user_history where dwelltime < 60) * DocEmb, Take top1 weighted DotProduct
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LogDwelltimeUserAllClicksDwt60lessXDocEmbScoreThreshold50pCount
web_meta_pers: 47
DotProducts = (all click embeddings from user_history where dwelltime < 60) * DocEmb, Take DotProducts > 0.50, f = count / count + 10
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LogDwelltimeUserAllClicksDwt60lessXDocEmbMinscore
web_meta_pers: 48
DotProducts = (all click embeddings from user_history where dwelltime < 60) * DocEmb, min DotProducts
|
LogDwelltimeUserAllClicksDwt60moreXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 49
DotProducts = (all click embeddings from user_history where dwelltime >= 60) * DocEmb, Take average of top2 weighted DotProducts
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LogDwelltimeUserAllClicksDwt60moreXDocEmbAvgtop4ScoreXWeight
web_meta_pers: 50
DotProducts = (all click embeddings from user_history where dwelltime >= 60) * DocEmb, Take average of top4 weighted DotProducts
|
LogDwelltimeUserAllClicksDwt90moreXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 51
DotProducts = (all click embeddings from user_history where dwelltime >= 90) * DocEmb, Take average of top2 weighted DotProducts
|
LogDwelltimeUserAllClicksDwt90moreXDocEmbScoreThreshold40pCount
web_meta_pers: 52
DotProducts = (all click embeddings from user_history where dwelltime >= 90) * DocEmb, Take DotProducts > 0.40, f = count / count + 10
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LogDwelltimeUserAllClicksDwt90moreXDocEmbMintop40pScore
web_meta_pers: 53
DotProducts = (all click embeddings from user_history where dwelltime >= 90) * DocEmb, sort descending, f = DotProducts[0.4 * len(DotProducts)]
|
LogDwelltimeUserAllClicksDwt180moreXDocEmbAvgtop4ScoreXWeight
web_meta_pers: 54
DotProducts = (all click embeddings from user_history where dwelltime >= 180) * DocEmb, Take average of top4 weighted DotProducts
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LogDwelltimeUserAllClicksDwt210moreXDocEmbMintop10pScore
web_meta_pers: 55
DotProducts = (all click embeddings from user_history where dwelltime >= 210) * DocEmb, sort descending, f = DotProducts[0.1 * len(DotProducts)]
|
LogDwelltimeUserAllClicksDwt450moreXDocEmbScoreThreshold100pRelcount
web_meta_pers: 56
DotProducts = (all click embeddings from user_history where dwelltime >= 450) * DocEmb, Take DotProducts > 0.10, f = 2 * count / (count + len(DotProducts))
|
LogDwelltimeUserLong120ClicksDwt600moreXQueryEmbMintop20pScore
web_meta_pers: 57
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 600) * QueryEmb, sort descending, f = DotProducts[0.2 * len(DotProducts)]
|
LogDwelltimeUserLong120ClicksDwt30moreXDocEmbMaxscore
web_meta_pers: 58
DotProducts = (longer 120s click embeddings from user_history) * DocEmb, max DotProducts
|
LogDwelltimeUserLong120ClicksDwt180lessXDocEmbAvgtop30pScoreXWeight
web_meta_pers: 59
DotProducts = (longer 120s click embeddings from user_history where dwelltime < 180) * DocEmb, Take average of top(0.30 * len(DotProducts)) weighted DotProducts
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LogDwelltimeUserLong120ClicksDwt180lessXDocEmbMintop90pScore
web_meta_pers: 60
DotProducts = (longer 120s click embeddings from user_history where dwelltime < 180) * DocEmb, sort descending, f = DotProducts[0.9 * len(DotProducts)]
|
LogDwelltimeUserLong120ClicksDwt180moreXDocEmbMaxScoreXWeight
web_meta_pers: 61
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 180) * DocEmb, Take top1 weighted DotProduct
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LogDwelltimeUserLong120ClicksDwt180moreXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 62
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 180) * DocEmb, Take average of top2 weighted DotProducts
|
LogDwelltimeUserLong120ClicksDwt360moreXDocEmbMaxScoreXWeight
web_meta_pers: 63
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 360) * DocEmb, Take top1 weighted DotProduct
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LogDwelltimeUserLong120ClicksDwt360moreXDocEmbAvgtop10pScoreXWeight
web_meta_pers: 64
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 360) * DocEmb, Take average of top(0.10 * len(DotProducts)) weighted DotProducts
|
LogDwelltimeUserLong120ClicksDwt360moreXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 65
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 360) * DocEmb, Take average of top2 weighted DotProducts
|
LogDwelltimeUserLong120ClicksDwt360moreXDocEmbMintop20pScore
web_meta_pers: 66
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 360) * DocEmb, sort descending, f = DotProducts[0.2 * len(DotProducts)]
|
LogDwelltimeUserLong120ClicksDwt600lessXDocEmbMaxScoreXWeight
web_meta_pers: 67
DotProducts = (longer 120s click embeddings from user_history where dwelltime < 600) * DocEmb, Take top1 weighted DotProduct
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LogDwelltimeUserLong120ClicksDwt600lessXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 68
DotProducts = (longer 120s click embeddings from user_history where dwelltime < 600) * DocEmb, Take average of top2 weighted DotProducts
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LogDwelltimeUserLong120ClicksDwt600lessXDocEmbScoreThreshold50pCount
web_meta_pers: 69
DotProducts = (longer 120s click embeddings from user_history where dwelltime < 600) * DocEmb, Take DotProducts > 0.50, f = count / count + 10
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LogDwelltimeUserLong120ClicksDwt600moreXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 70
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 600) * DocEmb, Take average of top2 weighted DotProducts
|
LogDwelltimeUserLong120ClicksDwt600moreXDocEmbScoreThreshold40pSaturatedweightsum
web_meta_pers: 71
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 600) * DocEmb, Take DotProducts > 0.40, f = weightSum / (weightSum + 1)
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LogDwelltimeUserLong120ClicksDwt600moreXDocEmbScoreThreshold100pRelcount
web_meta_pers: 72
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 600) * DocEmb, Take DotProducts > 0.10, f = 2 * count / (count + len(DotProducts))
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LogDwelltimeUserLong120ClicksDwt600moreXDocEmbMaxscore
web_meta_pers: 73
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 600) * DocEmb, max DotProducts
|
FadingEmbLogDwelltimeBigramsDocXQueryDays01Dwt30Less
web_meta_pers: 74
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 30sec)
|
FadingEmbLogDwelltimeBigramsDocXQueryDays01Dwt30More
web_meta_pers: 75
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 30sec)
|
FadingEmbLogDwelltimeBigramsDocXQueryDays01Dwt300Less
web_meta_pers: 76
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 300sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays01Dwt30More
web_meta_pers: 81
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 30sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays01Dwt90Less
web_meta_pers: 82
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 90sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays01Dwt300More
web_meta_pers: 83
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 300sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays02Dwt600Less
web_meta_pers: 84
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.2days, dwelltime less than 600sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays03Dwt30More
web_meta_pers: 85
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.3days, dwelltime more than 30sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays03Dwt600More
web_meta_pers: 86
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.3days, dwelltime more than 600sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays300Dwt30Less
web_meta_pers: 87
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=300days, dwelltime less than 120sec DWT30)
|
ClustEmbLogDtBigramsDocXQueryDwt120LessWeights5LessMinscore
web_meta_pers: 88
Take clustered embeddings (short clicks, centroids with weights less than 5), Calc dot products with query embedding, f = Min(DotProducts)
|
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessMintop10pScore
web_meta_pers: 90
Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, sort descending, f = DotProducts[0.10 * DotProduct.size()]
|
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessMintop90pScore
web_meta_pers: 91
Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, sort descending, f = DotProducts[0.90 * DotProduct.size()]
|
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessMinscore
web_meta_pers: 92
Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, f = Min(DotProducts)
|
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessScoreThreshold30pSatweightsum
web_meta_pers: 93
Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, Take dot product more than 0.30, f = 1 / (1 + sum of weights)
|
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessScoreThreshold40pCount
web_meta_pers: 94
Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, Take dot product more than 0.40, f = count / (count + 10)
|
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessScoreThreshold40pSatweightsum
web_meta_pers: 95
Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, Take dot product more than 0.40, f = 1 / (1 + sum of weights)
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ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights10LessAvgtop5Scorexweight
web_meta_pers: 96
Take clustered embeddings (long clicks, centroids with weights less than 10), Calc dot products with query embedding, sort descending, take top5, f = AVG(DotProduct[i] * Weight[i])
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CommonWordsCountPrevQCurQRealtime
web_meta_pers: 113
Saturated number of common words in current and previous query
|
FadingEmbLogDwelltimeBigramsQuery001days
web_meta_pers: 114
Cosine similarity between query embedding and fading embedding of queries from RTMR user_history, (model=LogDwellTimeBigrams, fadingCoef=0.01days)
|
FadingEmbLogDwelltimeBigramsQuery002days
web_meta_pers: 115
Cosine similarity between query embedding and fading embedding of queries from RTMR user_history, (model=LogDwellTimeBigrams, fadingCoef=0.02days)
|
FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp003days
web_meta_pers: 117
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.03days)
|
FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp12days
web_meta_pers: 118
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=1.2days)
|
FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp6days
web_meta_pers: 119
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=6days)
|
FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp14days
web_meta_pers: 120
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=14days)
|
ClustEmbLogDtBigramsQueryAllWeightsAvgtop4ScoreXWeight
web_meta_pers: 121
Take clustered embeddings (query embeddings, all weights), Calc dot product with query embedding, Take top4, f = AVG(Score[i] * Weight[i])
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ClustEmbLogDtBigramsQueryAllWeightsScoreThreshold75pSatweightsum
web_meta_pers: 122
Take clustered embeddings (query embeddings, all weights), Calc dot product with query embedding, Take dot product with score > 0.75, f = 1 / (1 + sum of weights)
|
ClustEmbLogDtBigramsQueryWeights3LessMintop95pScore
web_meta_pers: 123
Take clustered embeddings (query embeddings, weights less than 3), Calc dot product with query embedding, Sort descending, f = DotProduct[0.95 * length(DotProducts)]
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ClustEmbLogDtBigramsQueryWeights5LessScoreThreshold55pSatweightsum
web_meta_pers: 124
Take clustered embeddings (query embeddings, weights less than 5), Calc dot product with query embedding, Take dot product with score > 0.55, f = 1 / (1 + sum of weights)
|
ClustEmbLogDtBigramsQueryWeights5LessMinscore
web_meta_pers: 125
Take clustered embeddings (query embeddings, weights less than 5), Calc dot product with query embedding, f = MIN(DotProducts)
|
ClustEmbLogDtBigramsQueryWeights10LessMaxscore
web_meta_pers: 126
Take clustered embeddings (query embeddings, weights less than 10), Calc dot product with query embedding, f = MAX(DotProducts)
|
ClustEmbLogDtBigramsQueryWeights15LessMaxScoreXWeight
web_meta_pers: 127
Take clustered embeddings (query embeddings, weights less than 15), Calc dot product with query embedding, f = MAX(Score[i] * Weights[i])
|
ClustEmbLogDtBigramsQueryWeights20LessScoreThreshold70pSatweightsum
web_meta_pers: 128
Take clustered embeddings (query embeddings, weights less than 20), Calc dot product with query embedding, Take dot product with score > 0.70, f = 1 / (1 + sum of weights)
|
ClustEmbLogDtBigramsQueryAllWeightsMaxScoreXWeight
web_meta_pers: 129
Take clustered embeddings (query embeddings, all weights), Calc dot product with query embedding, f = MAX(Score[i] * Weights[i])
|
LogDtBigramsUserLast10QueriesMaxScoreXWeight
web_meta_pers: 136
Take last 10 query embeddings, Calc dot product with query embedding, f = MAX(Score[i] * Weights[i])
|
LogDtBigramsUserLast20QueriesMaxScoreXWeight
web_meta_pers: 138
Take last 20 query embeddings, Calc dot product with query embedding, f = MAX(Score[i] * Weights[i])
|
LogDtBigramsUserLast20QueriesAvgtop3ScoreXWeight
web_meta_pers: 139
Take last 20 query embeddings, Calc dot product with query embedding, Take top3, f = AVG(Score[i] * Weight[i])
|
LogDtBigramsUserLast30QueriesMintop5pScore
web_meta_pers: 140
Take last 30 query embeddings, Calc dot product with query embedding, Sort descending, f = DotProduct[0.05 * length(DotProducts)]
|
LogDtBigramsUserLast40QueriesMaxScoreXWeight
web_meta_pers: 141
Take last 40 query embeddings, Calc dot product with query embedding, f = MAX(Score[i] * Weights[i])
|
LogDtBigramsUserLast50QueriesMaxscore
web_meta_pers: 142
Take last 50 query embeddings, Calc dot product with query embedding, f = MAX(DotProducts)
|
LogDtBigramsUserLast50QueriesMintop2Score
web_meta_pers: 143
Take last 50 query embeddings, Calc dot product with query embedding, sort descending, f = DotProducts[1] (in zero-numeration)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestamp01daysDwt120Less
web_meta_pers: 144
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestamp01daysDwt120More
web_meta_pers: 145
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestamp05daysDwt120Less
web_meta_pers: 146
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestamp05daysDwt120More
web_meta_pers: 147
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestamp3daysDwt120Less
web_meta_pers: 148
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestamp3daysDwt120More
web_meta_pers: 149
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestampDays01Dwt30More
web_meta_pers: 150
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 30sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestampDays01Dwt90Less
web_meta_pers: 151
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 90sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestampDays01Dwt300More
web_meta_pers: 152
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 300sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestampDays02Dwt600Less
web_meta_pers: 153
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.2days, dwelltime less than 600sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestampDays03Dwt30More
web_meta_pers: 154
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.3days, dwelltime more than 30sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestampDays03Dwt600More
web_meta_pers: 155
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.3days, dwelltime more than 600sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestampDays300Dwt30Less
web_meta_pers: 156
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=300days, dwelltime less than 120sec DWT30), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp003days
web_meta_pers: 157
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.03days), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp12days
web_meta_pers: 158
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=1.2days), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp6days
web_meta_pers: 159
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=6days), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp14days
web_meta_pers: 160
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=14days), f = 1 - 2^(-0.2 * value)
|
MetaAvgTRp1
web_meta: 0
Avg metafactor on TRp1(4)
|
MetaMaxQiQueryUrlCorrectedCtrXfactor
web_meta: 15
Max metafactor on QiQueryUrlCorrectedCtrXfactor(880)
|
MetaRmsTRp1
web_meta: 22
Rms metafactor on TRp1(4)
|
MetaRmsQueryDOwnerClicksPCTR
web_meta: 24
Rms metafactor on QueryDOwnerClicksPCTR(77)
|
MetaRmsHasNoAllWordsTRSy
web_meta: 27
Rms metafactor on HasNoAllWordsTRSy(138)
|
MetaRmsWeightedSumIsIndexPageIsNavMxQuery
web_meta: 31
Rms metafactor on WeightedSumIsIndexPageIsNavMxQuery(763)
|
MetaNumUrlsPerHost
web_meta: 33
The number of urls from the host for request in PRS, normalized for the amount of squares of the number of Urlov for each host in PRS
|
MetaPosAddTime
web_meta: 34
FI_ADD_TIME position for documents on request in PRS
|
MetaPosHops
web_meta: 36
FI_HOPS position for documents on request in PRS
|
MetaPosNumWordsTRSy
web_meta: 37
FI_NUM_WORDS_TR_SYN position for documents on request in PRS
|
MetaPosPageRegionSizeIn
web_meta: 38
Position fi_page_region_size_in for documents on request in PRS
|
MetaPosGeoGeometryProxim
web_meta: 39
FI_GEO_GEOMETRY_PROXIM position for documents on request in PRS
|
MetaPosMeanWordLength
web_meta: 42
FI_MEAN_WORD_LENGTH position for documents on request in PRS
|
MetaPosPercentFreqWords
web_meta: 43
FI_PERCENT_FREQ_WORDS position for documents on request in PRS
|
MetaPosTrigramsProb
web_meta: 44
FI_TRIGRAMS_PROB position for documents on request in PRS
|
MetaPosParticlesPortion
web_meta: 45
FI_PARTILS_PORTION position for documents on request in PRS
|
MetaPosBclm
web_meta: 46
FI_BCLM position for documents on request in PRS
|
MetaPosYmwFull2
web_meta: 47
FI_YMW_Full2 position for documents on request in PRS
|
MetaPosTocm
web_meta: 49
FI_TOCM position for documents on request in PRS
|
MetaPosCommRus
web_meta: 54
FI_COMM_RUS position for documents on request in PRS
|
MetaPosWikiLinkCount
web_meta: 55
FI_WIKI_LINK_COUNT for documents on request at PRS
|
MetaPosWeightedSumIsIndexPageBocm
web_meta: 56
Position fi_ws_is_index_page_and_Bocm for documents on request in PRS
|
MetaPosRegBrowserUserHub
web_meta: 57
FI_REG_BROWSER_USER_HUB position for documents on request in PRS
|
MetaPosDoppQueryUrlSessionClicksFRC
web_meta: 59
Position FI_DOPP_URL_SESSION_CLICS_FRC for documents on request in PRS
|
MetaQueryURLClicksFRCRegGeoMin
web_meta: 61
Along - the minimum on PRS value of the QueryurlClicksfrcreggeo factor.
|
MetaAuxTextBM25Avg
web_meta: 65
The average on PRS value of the AuxtextBM25 factor.
|
MetaAuxTitleBM25NonZero
web_meta: 66
The share of non -equal values on the PRS factor Auxtitlebm25.
|
MetaQUBm15WeightedPart
web_meta: 67
The share from the maximum on PRS values of the QUBM15WEIGHTED factor.
|
MetaGeoRelevAlienCityGeoaNonZero
web_meta: 68
The proportion of non -renewal on PRS values of the Georelevaliencitygege factor.
|
MetaBOCMAvg
web_meta: 69
The share of the maximum value on request on PRS values of the BCLM factor.
|
MetaUrlDirectChildrenCnt
web_meta: 72
The number of direct descendants of the URL on PRS designed by the text URLA; A more detailed description in wiki
|
MetaUrlChildrenCnt
web_meta: 73
The number of descendants of the URL on PRS calculated by the text URLA; A more detailed description in wiki
|
MetaUrlDirectParentsCnt
web_meta: 74
The number of direct URLs on PRS designed by the URLA text; A more detailed description in wiki
|
MetaNumUrlsPerHostFixed
web_meta: 75
Fixed version fi_meta_num_urls_per_host. The number of documents from the host on PRS, normalized to the total number of documents in PRS
|
HostMaxUSLongPeriodUrlLongClickProb
web_meta: 76
The maximum value of USLONGPERIODURLLONGCLickPRob according to all the host documents on PRS
|
HostMaxUSLongPeriodUrlLongClickProbReg
web_meta: 77
The maximum value of USLONGPERIODURLLONGCLICKPROBREG for all host documents on PRS
|
MetaCommStableRandom
web_meta: 83
A random feature is considered to be hash (Ownerid, Timestamp). It is calculated only for the flow ru.commercial (Note: TG_UNUSED is used to gain in the default pools)
|
SDPRSWeightPercent
web_meta: 84
The ratio of the weight amount of the similarity of the documents of those who fell into PRS to all similar to this
|
SDPRSPercent
web_meta: 85
The percentage of documents similar to these PRS
|
SDPRSWeight
web_meta: 88
The total weight of documents similar to PRS
|
SDPRSCnt
web_meta: 89
The number of documents similar to PRS
|
SDPRSClusterSize
web_meta: 90
Cluster size (found using a search in depth) which includes a document
|
SDGenerallyPRSMaxSimilarWeight
web_meta: 91
Maximum by SimiladocsprsPrsweight counted according to all documents in PRS
|
SDGenerallyPRSMaxClusterSize
web_meta: 92
The maximum cluster size in PRS
|
SDIsNavMxQueryMax
web_meta: 93
Max for ISNAVMXQUERY FACTOR, calculated according to all similar documents
|
SDCorrectedCtrXfMax
web_meta: 94
MAX by QueerlCorrectedctrxFactor Factor, counted according to all similar documents
|
SDHasNoQueryShowsWeighted
web_meta: 95
A balanced amount of Hasnoqueryshows factor according to similar documents, normalized by the number of similar documents in PRS
|
SDSamplePeriodDayFrcWeighted
web_meta: 96
The balanced amount of the SampleperiodDayFRC factor according to similar documents, normalized by the number of similar documents in PRS
|
HostInQuery
web_meta: 98
The request contains the name of the host from which this document
|
SDWeb1040Max
web_meta: 99
Maximum XFDTSHOWTOPMINWFFELD3BCLMWEIGHTEDFLOGW0K0001 Factor, calculated according to all similar documents
|
SDWeb1031MaxWFNormMaxW
web_meta: 100
Weighted maximum XFDTSHOWOWALMAXWFONECLICKFULLMATCHVALUS Factor according to similar documents, normalized by the maximum weight of a similar document
|
SDWeb1194MaxWFNormMaxW
web_meta: 101
Weighted maximum QuerydwellTimixMatchWeightedValue factor according to similar documents, normalized by the maximum weight of a similar document
|
SDWeb1041Max
web_meta: 102
Maximum XFDTSHOWTOPMINWFLONGCLICSPANNOTATIONMATCHWEIGHTEDVALUE Factor, calculated according to all similar documents
|
SDWeb1094SumWFNormSumW
web_meta: 104
Weighted TEXTBM11NORM16384 amount of factors according to similar documents, normalized by the amount of weights of similar documents
|
MetaMaxQueryURLClicksPCTR
web_meta: 105
Max metafactor on QueryURLClicksPCTR(max 45)
|
MetaFractQueryURLISBMCTR
web_meta: 110
Fract metafactor on QueryURLISBMCTR(fract 797)
|
MetaRmsOneClickAnnotationMatchWeightedValue
web_meta: 112
Rms metafactor on OneClickAnnotationMatchWeightedValue(rms 1189)
|
MetaMaxSplitDwellTimeAllWcmWeightedPrediction
web_meta: 113
Max metafactor on SplitDwellTimeAllWcmWeightedPrediction(max 1190)
|
MetaAvgSplitDwellTimeAllWcmWeightedPrediction
web_meta: 114
Avg metafactor on SplitDwellTimeAllWcmWeightedPrediction(avg 1190)
|
MetaRmsSplitDwellTimeAllWcmWeightedPrediction
web_meta: 115
Rms metafactor on SplitDwellTimeAllWcmWeightedPrediction(rms 1190)
|
MetaAvgSplitDwellTimeBm15MaxAnnotationK001
web_meta: 116
Avg metafactor on SplitDwellTimeBm15MaxAnnotationK001(avg 1191)
|
MetaRmsSplitDwellTimeBm15MaxAnnotationK001
web_meta: 117
Rms metafactor on SplitDwellTimeBm15MaxAnnotationK001(rms 1191)
|
MetaMaxQueryDwellTimeBclmWeightedProximity1Bm15Size1K0001
web_meta: 118
Max metafactor on QueryDwellTimeBclmWeightedProximity1Bm15Size1K0001(max 1192)
|
MetaFractQueryDwellTimeAttenV1Bm15K001
web_meta: 119
Fract metafactor on QueryDwellTimeAttenV1Bm15K001(fract 1193)
|
MetaNonzeroQueryDwellTimeMixMatchWeightedValue
web_meta: 120
Nonzero metafactor on QueryDwellTimeMixMatchWeightedValue(nonzero 1194)
|
MetaFractQueryDwellTimeMixMatchWeightedValue
web_meta: 121
Fract metafactor on QueryDwellTimeMixMatchWeightedValue(fract 1194)
|
MetaNonzeroQueryDwellTimeAnnotationMaxValueWeighted
web_meta: 122
Nonzero metafactor on QueryDwellTimeAnnotationMaxValueWeighted(nonzero 1195)
|
MetaFractQueryDwellTimeAnnotationMatchWeightedValue
web_meta: 123
Fract metafactor on QueryDwellTimeAnnotationMatchWeightedValue(fract 1197)
|
MetaRmsQueryDwellTimeAllWcmWeightedValue
web_meta: 124
Rms metafactor on QueryDwellTimeAllWcmWeightedValue(rms 1198)
|
MetaNonzeroQueryDwellTimeAllWcmMatch80AvgValue
web_meta: 125
Nonzero metafactor on QueryDwellTimeAllWcmMatch80AvgValue(nonzero 1199)
|
MetaRmsQueryDwellTimeAllWcmMatch80AvgValue
web_meta: 126
Rms metafactor on QueryDwellTimeAllWcmMatch80AvgValue(rms 1199)
|
MetaFractMetaNumUrlsPerHost
web_meta: 127
Fract metafactor on MetaNumUrlsPerHost(fract 33)
|
MetaResidMetaNumUrlsPerHost
web_meta: 128
Resid metafactor on MetaNumUrlsPerHost(resid 33)
|
MetaWeb380Web685ProductInvAvg
web_meta: 134
The average on PRS value of the expression (1 - Dateraage) * (1 - DiversityCategreview)
|
MetaWeb764Web1076ProductInvAvg
web_meta: 135
The average expression value on PRS (1 - BrowserhostdowLoadProbabolyity) * (1 - more90SECVISITSSHARE)
|
MetaWeb196Web685ProductInvAvg
web_meta: 136
The average on PRS value of the expression (1 - ISFORUM) * (1 - DiversityCategreview)
|
MetaWeb365Web487ProductInvAvg
web_meta: 137
The average on PRS value of the expression (1 - ruswordsintitle) * (1 - GSKURLMODEL)
|
MetaWeb65Web338ProductInvAvg
web_meta: 138
The average on PRS value of the expression (1 - hops) * (1 - urlsessnormDurrate)
|
MetaWeb201Web494ProductPos
web_meta: 140
Haspayments * QueryCommercialitymx position among all documents on PRS
|
MetaWeb1025Web1181ProductPos
web_meta: 142
Position XFDTSHOWALMAXFELDSET2BM15FLOGK0001 * SimpleClickMixMatchHTEDVALUE among all documents on PRS
|
MetaWeb1241Web1299ProductInvPos
web_meta: 143
Position (1 -CorrectrlongPeriodallwcmmatch80avgvalue) * (1 - Metapolygen8allwcmmaxmatch) among all documents on PRS
|
MetaWeb1099Web1219ProductInvPos
web_meta: 144
Position (1- Fieldset3bclmweightedflogw0k0001) * (1 - DSSMLONGMIDLESHORDSHARDCLICS) Among all documents on PRS
|
HostShareDoubleFrcAnnotationMaxValueWeighted
web_meta: 163
The amount of DoubleFrcannotationmaxValueweighted according to the host documents divided by the DoubleFrcannotationmaxValueWeweighted for all documents on PRS
|
HostShareDoubleFrcAnnotationMatchWeightedValue
web_meta: 164
The amount of DoubleFrcannotationMatchWeightedValue according to the host documents divided by the DoubleFrcannotationMatchweightedValue amount for all documents for PRS
|
HostShareBrowserPageRankAnnotationMaxValueWeighted
web_meta: 165
The amount of BrowserpagerankannotationmaxValueweded according to the host documents, divided by Browserpagerannotationmaxvalueweighted for all documents for PRS
|
HostShareRequestWithRegionNameBQPRSampleAnnotationMaxValueWeighted
web_meta: 166
The amount of RequestwithregionnamebqPrsampleannotationMaxValuewaEWEWEIGHTED according to the HOST, divided by the REQUESTWITHRENEMEBQPRSAMPLEANNNOSVALUEWEWEWEWEIDED for all documents on PRS
|
MetaResidMaxDBMNumbers
web_meta: 168
ResidMax metafactor on Production:DBMNumbers(662)
|
MetaAvgBodyMinWindowSize
web_meta: 179
Avg metafactor on Production:BodyMinWindowSize(1103)
|
MetaRmseDoubleFrcAllWcmMatch95AvgValue
web_meta: 180
Rmse metafactor on Production:DoubleFrcAllWcmMatch95AvgValue(1110)
|
MetaRmseSimpleClickAnnotationMatchWeightedValue
web_meta: 181
Rmse metafactor on Production:SimpleClickAnnotationMatchWeightedValue(1182)
|
MetaMaxDssmMiddleVsShortLongHardNoClicks
web_meta: 182
Max metafactor on Production:DssmMiddleVsShortLongHardNoClicks(1221)
|
MetaMaxDssmLogDwellTimeBigrams
web_meta: 186
Max metafactor on Production:DssmLogDwellTimeBigrams(1338)
|
MetaFractQUrlStatPower
web_meta: 193
Fract metafactor on Production:QUrlStatPower(433)
|
MetaRmseQueryWordSequencesTR
web_meta: 194
Rmse metafactor on Production:QueryWordSequencesTR(504)
|
MetaResidDBMNumbers
web_meta: 197
Resid metafactor on Production:DBMNumbers(662)
|
MetaMaxNHopTextBclmPlane
web_meta: 198
Max metafactor on Production:NHopTextBclmPlane(795)
|
MetaRmseQueryURLISBMCTR
web_meta: 199
Rmse metafactor on Production:QueryURLISBMCTR(797)
|
MetaRmseURLClicksMaxGeoAlienCityFRCRatio
web_meta: 200
Rmse metafactor on Production:URLClicksMaxGeoAlienCityFRCRatio(840)
|
MetaResidMaxQueryDocTitleRangesMatchingScore
web_meta: 201
ResidMax metafactor on Production:QueryDocTitleRangesMatchingScore(866)
|
MetaMaxXfDtShowAllMaxFFieldSetUTBm15FLogW0
web_meta: 203
Max metafactor on Production:XfDtShowAllMaxFFieldSetUTBm15FLogW0(1027)
|
MetaDFT_GREATER_CNTDssmLogDwellTimeBigrams
web_meta: 204
DFT_GREATER_CNT metafactor on Production:DssmLogDwellTimeBigrams(1338)
|
MetaDFT_SUM_WF_NORM_SUM_WDssmLogDwellTimeBigrams
web_meta: 205
DFT_SUM_WF_NORM_SUM_W metafactor on Production:DssmLogDwellTimeBigrams(1338)
|
MetaDFT_GREATER_CNTRequestWithRegionNameFieldSet2Bm15FLogK0001
web_meta: 206
DFT_GREATER_CNT metafactor on Production:RequestWithRegionNameFieldSet2Bm15FLogK0001(1264)
|
MetaMaxLongClickMobileAllWcmWeightedPrediction
web_meta: 207
Max metafactor on Production:LongClickMobileAllWcmWeightedPrediction(1318)
|
MetaResidCorrectedCtrLongPeriodFullMatchValue
web_meta: 208
Resid metafactor on Production:CorrectedCtrLongPeriodFullMatchValue(1236)
|
MetaFractBrowserPageRankBocm15K001
web_meta: 220
Fract metafactor on Production:BrowserPageRankBocm15K001(1186)
|
MetaDistanceToDocAvgViewPos
web_meta: 222
Distance from the city of the user (fi_latitude; fi_longitude) to the middle point where the page was viewed (fi_ub_long_period_url_latitude; fi_ub_long_period_url_longitude)
|
MetaEpsHashShareTitleIdfSumFixed
web_meta: 241
Eps hash metafactor on Production:TitleIdfSumFixed(358)
|
MetaEpsHashShareDaterAge
web_meta: 242
Eps hash metafactor on Production:DaterAge(380)
|
MetaEpsHashShareNationalLanguage
web_meta: 243
Eps hash metafactor on Production:NationalLanguage(553)
|
MetaEpsHashShareMinTimeWhenPageShow
web_meta: 244
Eps hash metafactor on Production:UBLongPeriodMinTimeWhenPageShow(1377)
|
MetaDFT_SUM_WF_NORM_SUM_WHasNoQueryURLShows
web_meta: 249
DFT_SUM_WF_NORM_SUM_W metafactor on Production:HasNoQueryURLShows(63)
|
MutualSerpSimDftMaxBodyMinWindowSize
web_meta: 252
Similar documents, type of similarity: mutualserp. Max Aggregation of Bodyminwindowsize factor
|
MutualSerpSimDftSumWfNormSumWDssmBigramsQueryDerivativeMax
web_meta: 253
Similar documents, type of similarity: mutualserp. SUMWFNORMSUMW AGGENT DSSMBIGRAMSQUERYDERIVATIMAX factor
|
MutualSerpSimDftMaxDssmLogDwellTimeBigrams
web_meta: 254
Similar documents, type of similarity: mutualserp. Max Aggregion DSSMLOGDWELTIMEBIGRAMS Factor
|
MutualSerpSimDftSumWfNormSumWHasNoAllWordsTRSy
web_meta: 255
Similar documents, type of similarity: mutualserp. SUMWFNORMSUMW HasnoallwordStrsy factor
|
MutualSerpSimDftMaxQueryUrlLCS
web_meta: 256
Similar documents, type of similarity: mutualserp. Max Aggregation of Queryurllcs factor
|
MutualSerpSimDftSumWfNormSumWDssmLongVsMiddleShortNoClicks
web_meta: 257
Similar documents, type of similarity: mutualserp. Sumwfnormsumw DSSMLONGVSMIDLESHORTNOCLICS AGGENT
|
MutualSerpSimDftSumWfNormSumWAvgQsFWnd500TOKEN
web_meta: 258
Similar documents, type of similarity: mutualserp. SUMWFNORMSUMW Avgqsfwnd500toKen Anggregation
|
MutualSerpSimDftMaxDssmLongMiddleShortVsHardClicks
web_meta: 259
Similar documents, type of similarity: mutualserp. Max Agnigation DSSMLONGMIDLESHORDSHARDCLICS Factor
|
MutualSerpSimDftSumWfNormSumWUBLongPeriodBrowseFrc
web_meta: 260
Similar documents, type of similarity: mutualserp. Sumwfnormsumw UblongperiodbrowseFRC Anggregation
|
MutualSerpSimDftMaxQueryToTextAllSumWFSumWBodyMinWindowSize
web_meta: 261
Similar documents, type of similarity: mutualserp. Max Aggregation Querytotextallsumwfsumwbodyminwindowsi factor
|
MutualSerpSimDftSumWfNormSumWQfufAllSumWFSumWQueryDwellTimeMixMatchWeightedValue
web_meta: 262
Similar documents, type of similarity: mutualserp. SUMWFNORMSUMW AGGENGATION QFUFALLSUMWFSUMWQURYDWELTIMICHWEIGHTEDVALU
|
MutualSerpSimSftPrsWeightPercent
web_meta: 263
Similar documents, type of similarity: mutualserp. The ratio of the weight amount of the similarity of the documents of those who fell into PRS to all similar to this
|
MutualSerpSimSftPrsPercent
web_meta: 264
Similar documents, type of similarity: mutualserp. The percentage of documents similar to these PRS
|
MutualSerpSimSftPrsClusterSize
web_meta: 266
Similar documents, type of similarity: mutualserp. Cluster size (found using a search in depth) which includes a document
|
MutualSerpSimGftHaveSimilarCnt
web_meta: 267
Similar documents, type of similarity: mutualserp. The number of documents from PRS has at least one similar document on the same PRS
|
MutualSerpSimGftMaxSimilarWeight
web_meta: 268
Similar documents, type of similarity: mutualserp. Maximum by SimiladocsprsPrsweight counted according to all documents in PRS
|
MutualSerpSimGftMaxClusterSize
web_meta: 269
Similar documents, type of similarity: mutualserp. The maximum cluster size in PRS
|
MetaMaxDssmBoostingXfWeightKMeans5AvgTop02ScoreQE
web_meta: 270
Max metafactor on Production:DssmBoostingXfWeightKMeans5AvgTop02ScoreQE(1481)
|
MetaDFT_MAXDssmBoostingXfWeightKMeans5AvgTop02ScoreQE
web_meta: 271
DFT_MAX metafactor on Production:DssmBoostingXfWeightKMeans5AvgTop02ScoreQE(1481)
|
MetaDFT_GREATER_CNTDssmBoostingXfWeightKMeans5AvgTop02ScoreQE
web_meta: 272
DFT_GREATER_CNT metafactor on Production:DssmBoostingXfWeightKMeans5AvgTop02ScoreQE(1481)
|
MetaFractDssmBoostingXfOneSeKMeans1Score
web_meta: 274
Fract metafactor on Production:DssmBoostingXfOneSeKMeans1Score(1489)
|
MetaUrlPath3Gram3HostMinLatChars
web_meta: 276
We count the coating of the letter 3 grams URLA, 3 grams from PRS that are found at least in 3 different hosts. Only Latin symbols and Path part of Url are taken into account
|
MetaFullUrl4Gram3HostMin
web_meta: 277
We count the cover of the letter 4 grams URLA, 4 grams from PRS that are found at least in 3 different hosts
|
MetaStatMetaMaxLinkAnnLinkExternalBocm11Norm256
web_meta: 280
Max metafactor on Production:LinkAnnLinkExternalBocm11Norm256(1520)
|
MetaPRSSimDFT_MAXLinkAnnLinkExternalBocm11Norm256
web_meta: 281
DFT_MAX metafactor on Production:LinkAnnLinkExternalBocm11Norm256(1520)
|
MetaMetaMaxDssmBoostingXfOneSeAmSsHardKMeans1Score
web_meta: 294
Meta:Max metafactor on web_production:DssmBoostingXfOneSeAmSsHardKMeans1Score(1597)
|
MetaMetaFractDssmBoostingXfOneSeAmSsHardKMeans1Score
web_meta: 295
Meta:Fract metafactor on web_production:DssmBoostingXfOneSeAmSsHardKMeans1Score(1597)
|
MetaSDDFT_MAXDssmBoostingXfOneSeAmSsHardKMeans1ScoreAvgClusterTop3Weighted
web_meta: 296
SD:DFT_MAX metafactor on web_production:DssmBoostingXfOneSeAmSsHardKMeans1ScoreAvgClusterTop3Weighted(1598)
|
DssmDwelltimeRegChainTrainedEmbedding
web_meta: 297
Model trained on url, title and user regions chain. Target: DwellTime
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MetaMetaAvgDssmQueryDwellTime
web_meta: 328
Meta:Avg metafactor on web_production:DssmQueryDwellTime(1406)
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MetaMetaRmseDssmLogDtBigramsAMHardQueriesNoClicks
web_meta: 329
Meta:Rmse metafactor on web_production:DssmLogDtBigramsAMHardQueriesNoClicks(1523)
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MetaMetaResidMaxXfDtShowKnnTopSumW2FSumWFieldSet1Bm15FLogK0001
web_meta: 331
Meta:ResidMax metafactor on web_production:XfDtShowKnnTopSumW2FSumWFieldSet1Bm15FLogK0001(1583)
|
MetaMetaResidMaxDssmLogDtBigramsAMHardQueriesNoClicksMixed
web_meta: 332
Meta:ResidMax metafactor on web_production:DssmLogDtBigramsAMHardQueriesNoClicksMixed(1596)
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MetaMetaEpsHashShareDssmLogDtBigramsAMHardQueriesNoClicksMixed
web_meta: 333
Meta:EpsHashShare metafactor on web_production:DssmLogDtBigramsAMHardQueriesNoClicksMixed(1596)
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MetaSDDFT_MAXDssmBoostingXfOneSeAmSsHardKMeans1Score
web_meta: 334
SD:DFT_MAX metafactor on web_production:DssmBoostingXfOneSeAmSsHardKMeans1Score(1597)
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MetaMetaResidMaxDssmBoostingXfOneSeAmSsHardKMeans1Score
web_meta: 335
Meta:ResidMax metafactor on web_production:DssmBoostingXfOneSeAmSsHardKMeans1Score(1597)
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MetaMetaResidNationalDomain
web_meta: 340
Meta:Resid metafactor on web_production:NationalDomain(476)
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MetaHostMaxHostMaxSimpleClickAnnotationMatchWeightedValue
web_meta: 341
HOSTMAX: HOSTMAX METAFACTOR ON Web_Production: SimpleClickannotationmatchweightedvalue (1182)
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MetaMutualSerpDFT_SUM_WF_NORM_COUNTIsDesktopRequest
web_meta: 343
MutualSerp:DFT_SUM_WF_NORM_COUNT metafactor on web_production:IsDesktopRequest(1228)
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MetaMetaResidQueryToTextAllSumFCountTextBocm11Norm256
web_meta: 344
Meta:Resid metafactor on web_production:QueryToTextAllSumFCountTextBocm11Norm256(1400)
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MetaMetaResidDssmQueryDwellTime
web_meta: 345
Meta:Resid metafactor on web_production:DssmQueryDwellTime(1406)
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MetaMetaResidDssmLogDtBigramsAMHardQueriesNoClicksMixed
web_meta: 348
Meta:Resid metafactor on web_production:DssmLogDtBigramsAMHardQueriesNoClicksMixed(1596)
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RegionChainLength
web_meta: 402
The length of the regional chain, where the request was.
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SHDynamicSumWfNormCountIsRelevLocaleUAOnLogEqualOrNoClicks
web_meta: 403
SUM_WF_NORM_COUNT META PRODUCTION: RandomlogostisrelevlocaleuAavg (1648)
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SHStaticWeightOnEsiLossesRate
web_meta: 404
The scales are similar to each host of Esi LossesRate.
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SHDynamicMaxUbLongPeriodUrlLatitudeOnEsiWinsLossesRate
web_meta: 405
MAX Metalate PRODUction: UblongPeriodlatitude (1379)
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SHDynamicSumWfNormCountQueryToTextAllSumFCountBodyPairMinProximityOnEsiWinsLossesRate
web_meta: 406
SUM_WF_NORM_COUNT META PRODUCTION: QuerytoTextallsumfcountbodyPairMinproximity (1398)
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SHStaticWeightOnCosineSimilarity
web_meta: 407
The scales are similar to each host along Sosinesimilarity.
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SHMiddleFrcOnCosineSimilarity
web_meta: 408
For each host, the sum of the weights of similar ribs on PRS is normalized by the sum of the weights of all similar pairs to PRS in Cosinesimilarity.
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SHGenerallyPrsMaxSimilarWeightOnCosineSimilarity
web_meta: 409
The maximum of the sums of weights of each host to all other hosts from PRS in Cosinesimilarity.
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SHDynamicSumWfNormCountDoubleFrcFullMatchValueOnCosineSimilarity
web_meta: 410
SUM_WF_NORM_COUNT META PRODUCTION: Doublefrcfullmatchvalue (1113)
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SHStaticPrsWeightOnOverlapSimpsonCoefficient
web_meta: 411
For each host, the sum of the weights of similarities to those documents that are in PRS, according to OverlapsimpsoncoEffic.
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SHGenerallyPrsMaxSimilarWeightOnLeftSideSimilarity
web_meta: 412
The maximum of the sums of weights of each host to all other hosts from PRS on Leftsidesimilarity.
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MetaFractNeuroTextModelLongClickPredictorByWordAndBigramCountersWithSSHards
web_meta: 413
Fract metafactor on NeuroTextModelLongClickPredictorByWordAndBigramCountersWithSSHards(1845).
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MetaResidNeuroTextModelLongClickPredictorByWordAndBigramCountersWithSSHards
web_meta: 414
Resid metafactor on NeuroTextModelLongClickPredictorByWordAndBigramCountersWithSSHards(1845).
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MetaEpsHashShareNeuroTextModelLongClickPredictorByWordAndBigramCountersWithSSHards
web_meta: 415
EpsHashShare metafactor on NeuroTextModelLongClickPredictorByWordAndBigramCountersWithSSHards(1845).
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MetaSameWordsMaskDispersionFieldSetUTSynonymAddTime
web_meta: 417
Dispersion of the Addtime factor in terms of PRS, where the mask of words in the URL+Title document that coincided as a synonym or better, the same as the document
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MetaSameWordsMaskDispersionFieldSetUTSynonymDBMNumbers
web_meta: 418
DBMNUMBERS factor dispersion in terms of PRS, where are the words mask in the URL+Title document that coincided as a synonym or better, the same as the document
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MetaSameWordsMaskDispersionFieldSetUTSynonymDoubleFrcAllWcmMatch95AvgValue
web_meta: 419
Dispersion of the DoubleFrcallwcmmatch95AVGVALUE factor in terms of PRS, where a mask of words in the URL+Title document that coincided as a synonym or better, the same as a document
|
MetaSameWordsMaskAvgFieldSetUTSynonymDoubleFrcAllWcmMatch95AvgValue
web_meta: 420
The average value of the DoubleFrCallwcmmatch95AVGVALUE factor in PRS, where the words mask in the URL+Title document that coincided as a synonym or better, the same as the document
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MetaSameWordsMaskMaxTextExactOneClickFrcXfSpBclmWeightedProximity1Bm15Size1K001
web_meta: 421
The maximum value of the OneClickFrCXFSPBCLMWEIDEDPROXIMIMIMITY1BM15SIZE1K001 factor in part of the PRS, where the words mask in the text of the document that coincided exactly the same as that of the document
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MetaSameWordsMaskMaxTextExactFirstClickDtXfBclmPlaneProximity1Bm15W0Size1K0001
web_meta: 422
The maximum value of the factor is FIRSTCLICKDTXFBCLMPLANEPROXIMITY15W0SIZE1K0001 in PRS, where a mask of words in the text of the document that coincided exactly the same as that of the document
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MetaSameWordsMaskDispersionFieldSetUTSynonymOneClickFrcXfSpPerWordCMMaxMatchMin
web_meta: 423
The dispersion of the OneClickFrCXFSPPERWORDCMAXMATCHMIN factor in terms of PRS, where the words mask in the URL+Title document that coincided as a synonym or better, the same as the document
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MetaSameWordsMaskAvgFieldSetUTSynonymOneClickFrcXfSpPerWordCMMaxMatchMin
web_meta: 424
The average value of the OneClickFrCXFSPPERWORDCMAXMATCHMIN factor in terms of PRS, where a mask of words in the URL+Title document that coincided as a synonym or better, is the same as that of the document
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MetaSameWordsMaskDispersionFieldSetUTSynonymQfufAllSumWFSumWQueryDwellTimeMixMatchWeightedValue
web_meta: 425
The dispersion of the factor QFUFALLSUMWFSUMWQURYDWELTIMEXMATCHWEIGHTEDVALE in PRS, where the words mask in the URL+Title document, coincided with a synonym or better, are the same as the document of
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MetaSameWordsMaskMinFieldSetUTSynonymDssmQueryDwellTime
web_meta: 426
The minimum value of the DSSMQUERYDWELTIME factor in PRS, where the mask of words in the URL+Title document that coincided or better, is the same as the document
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MetaSameWordsMaskAvgTextExactQfufAllMaxFLinkAnnIndicatorAnnotationMaxValueWeighted
web_meta: 427
The average value of the QFUFUFALLMAXFLINKANNINNINNONNOTATIONNOTATIONNOWEWEWEWEIGHTED factor in PRS, where a mask of words in the text of a document that coincided exactly the same as that of the document
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MetaSameWordsMaskAvgFieldSetUTSynonymQfufAllMaxWFLinkAnnIndicatorFullMatchValue
web_meta: 428
The average value of the QFUFUFALLMAXWFLINKANNINNINNINNINNINNDILLMATCHVALUE factor in terms of PRS, where a mask of words in the URL+Title document that coincided or better, the same as the document
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MetaSameWordsMaskAvgTextExactRandomLogHostQClassDownloadAvg
web_meta: 429
The average value of the RandomloghostqClassdownloadavg factor in PRS, where the mask of words in the text of the document that coincided for sure, is the same as the document
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MetaSameWordsMaskAvgFieldSetUTSynonymRandomLogHostIsMusicAvg
web_meta: 430
The average value of the Randomloghostismusicavg factor in PRS, where the mask of words in the URL+Title document that coincided as a synonym or better, is the same as the document
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MetaSameWordsMaskAvgFieldSetUTSynonymRandomLogOwnerMetaWeb1099Web1219ProductInvPosLogAvg
web_meta: 431
The average value of the factor Randomlogownermetaweb1099Web1219Productinvposlogavg in part of PRS, where a mask of words in the URL+Title document that coincided or better, is the same as the document of
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MetaSameWordsMaskAvgFieldSetUTSynonymRandomLogOwnerDssmRandomLogQueryAvgHasPaymentsLogAvg
web_meta: 432
The average value of the RandomlogownerdomrandomlogQuevghaspaymentslogavg factor in PRS, where the words mask in the URL+Title document that coincided or better, the same as the document is
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MetaSameWordsMaskDispersionTextExactRandomLogOwnerPornoQueryLogAvg
web_meta: 433
Dispersion of the RandomlogownernoQuerylogavg factor in terms of PRS, where the mask of words in the text of the document that coincided for sure, the same as the document
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MetaSameWordsMaskDispersionTextExactRandomLogOwnerNationalLanguageLogAvg
web_meta: 434
The dispersion of the factor Randomlogownernationalnguagelogavg in the PRS part, where the mask of words in the text of the document, coincided for sure, is the same as the document
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MetaSameWordsMaskAvgFieldSetUTSynonymQfufFilteredByXfOneSeTopSumWFSumWBodyMinWindowSize
web_meta: 435
The average value of the QFUFFIFILTEDBYXFONESETOPSUMWBODYMINWIDOWINDOWSIZE factor in PRS, where the words mask in the URL+Title document that coincided or better, the same as the document is
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MetaWeigtedAvgOfQfufTopSumWFSumWFieldSet3BclmWeightedFLogW0K0001ByHasVideo
web_meta: 436
The average value of the QFUFTOPSUMWFSUMWFELDSET3BCLMWEIGHTEDFLOGW0K0001 factor is average according to documents with video
|
MetaWeigtedAvgOfQfufTopSumWFSumWFieldSet3BclmWeightedFLogW0K0001ByHostStevensonWeight
web_meta: 437
The medium -enactable value of the QFUFTOPSUMWFSUMWFELDSET3BCLMWEIGHTEDFLOGW0K0001 factor, the PRS documents from PRS - HostStevensonweight
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MetaMetaRmseQueryURLClicksFRC_Reg
web_meta: 438
Meta:Rmse metafactor on web_production:QueryURLClicksFRC_Reg(174)
|
MetaHostShareHostShareUrlDomainFraction
web_meta: 439
HostShare:HostShare metafactor on web_production:UrlDomainFraction(294)
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MetaHostShareHostShareNationalDomain
web_meta: 440
HostShare:HostShare metafactor on web_production:NationalDomain(476)
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MetaHostShareHostShareIsMobileRequest
web_meta: 442
HostShare:HostShare metafactor on web_production:IsMobileRequest(1229)
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MetaHostShareHostShareQfufAllSumWFSumWQueryDwellTimeMixMatchWeightedValue
web_meta: 443
HostShare:HostShare metafactor on web_production:QfufAllSumWFSumWQueryDwellTimeMixMatchWeightedValue(1393)
|
MetaMetaFractDssmBoostingSerpSimilarityHardKMeans1Score
web_meta: 444
Meta:Fract metafactor on web_production:DssmBoostingSerpSimilarityHardKMeans1Score(1841)
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MetaMetaResidDssmCtrEngSsHard
web_meta: 445
Meta:Resid metafactor on web_production:DssmCtrEngSsHard(1855)
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MutualSerpSimDftGreaterCntUBLongPeriodLatitude
web_meta: 446
Similar documents, type of similarity: mutualserp. Greatercnt Aggregation UblongPeriodlantide factor
|
MutualSerpSimDftGreaterCntReformulationsLongestClickLogDt
web_meta: 447
Similar documents, type of similarity: mutualserp. Greatercnt ReformulationslonGestClicklogdt Agnigation Factor
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MutualSerpSimDftSumWfNormSumWReformulationsLongestClickLogDt
web_meta: 448
Similar documents, type of similarity: mutualserp. SUMWFNORMSUMW ReformulationslongestClicklogdt factor
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SHDynamicGreaterCntForeignDomainOnLogEqualOrNoClicks
web_meta: 451
Greater_cnt Metapactor PRODUction: Foreigndomain (1210)
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SHDynamicSumWfNormCountRandomLogHostXfDtShowBagOfWordsTitleCosineMaxMatchRmseOnEsiWinsLossesRate
web_meta: 452
SUM_WF_NORM_COUNT метафактор по Production:RandomLogHostXfDtShowBagOfWordsTitleCosineMaxMatchRmse(1722)
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IsDesktopRequest
web_meta: 475
request came from yandsearch (rearr.is_desktop == 1)
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IsMobileRequest
web_meta: 476
request came from touchsearch (rearr.is_mobile == 1)
|
IsTabletRequest
web_meta: 477
request came from padsearch (rearr.is_tablet == 1)
|
RequestIsFromAndroid
web_meta: 478
request came from device with Android OS (rearr.dd_osfamily == Android)
|
RequestIsFromIOS
web_meta: 479
request came from device with iOS (rearr.dd_osfamily == iOS)
|
RequestIsFromWindows
web_meta: 480
request came from device with Windows OS (rearr.dd_osfamily == Windows)
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RequestIsFromOtherPlatform
web_meta: 481
request does not come from devices with Android, iOS or Windows OS (rearr.dd_osfamily != [Android, iOS, Windows])
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DistanceToAnkara
web_meta: 482
The distance from the city from where the request was set to Ankara
|
DistanceToMagadan
web_meta: 483
The distance from the city from where the request was set to Magadan
|
Latitude
web_meta: 484
The geographical breadth of the city, from where a request was set
|
Longitude
web_meta: 485
Geographical longitude of the city, from where a request was set
|
MetaResidWithoutModaDoppUrlThreshold120Decay30Prior05
web_meta: 494
|
MetaResidWithoutModaDoppUrlThreshold5Decay30Prior05
web_meta: 495
|
MetaResidWithoutModaDoppUrlLog5Decay30Prior05
web_meta: 496
|
MetaResidWithoutModaDoppUrlLog300Decay30Prior05
web_meta: 497
|
MetaResidWithoutModaDoppUrlOSLog5Decay30Prior05
web_meta: 498
|
IsMobileStoreDocumentFromQueryPlatform
web_meta: 501
Is host a mobile store for query platform.
|
AliceAramusicBert
web_meta: 510
bert model which predicts 1rel 2vital 0other for arabic alice music search scenario
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AliceAramusicBertTest
web_meta: 511
slot for support of two parallel aramusic models
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BertSinsigMSE
web_meta: 522
small-bert-model sbr:1721013142 predict Predict_sinsig_mse_1502766203_standartized_mse_target - Distillation of the sinsig mse bert model 1502766203
|
BertDBDMSE
web_meta: 523
small-bert-model sbr:1721013142 predict Predict_dbd_mse_1502778723_standartized_mse_target Distillation of the dbd mse bert model 1502778723
|
BertSinsigFresh
web_meta: 524
small-bert-model sbr:1721013142 predict Predict_sinsig_fresh_20200118_0502_1528253243_standartized_mse_target Distillation of the fresh bert model 1528253243
|
BertSinsigCEMult012
web_meta: 525
small-bert-model sbr:1721013142 predict Predict_sinsig_ce_multitarget_012_1511368337_standartized_mse_target Distillation of the sinsig ce multitarget bert model 1511368337, head 0.12 threshold
|
BertSinsigCEMult025
web_meta: 526
small-bert-model sbr:1721013142 predict Predict_sinsig_ce_multitarget_025_1511368337_standartized_mse_target Distillation of the sinsig ce multitarget bert model 1511368337, head 0.25 threshold
|
BertSinsigCEMult05
web_meta: 527
small-bert-model sbr:1721013142 predict Predict_sinsig_ce_multitarget_05_1511368337_standartized_mse_target Distillation of the sinsig ce multitarget bert model 1511368337, head 0.5 threshold
|
BertProximaMSE
web_meta: 528
small-bert-model sbr:1721013142 predict Predict_proxima_large_mse_1545302456_standartized_mse_target Distillation of the proxima mse bert model 1545302456
|
BertClickPersCE
web_meta: 529
small-bert-model sbr:1721013142 predict Predict_click_pers_ce_1534051635_standartized_mse_target Distillation of the click pers ce bert model 1534051635
|
BertClickOddMSE
web_meta: 530
small-bert-model sbr:1721013142 predict Predict_click_odd_mse_1512795366_standartized_mse_target Distillation of the click odd mse bert model 1512795366
|
SplitBertProximaMSE
web_meta: 531
split-bert-model sbr:2005741938 predict Predict_mse_prediction_1628966206_proxima_standartized Split distillation of the proxima mse bert model 1628966206
|
SplitBertSinsigCEMult012
web_meta: 532
split-bert-model sbr:2005741938 predict Predict_ce_0_12_1633847052_sinsig_standartized Split distillation of the sinsig ce multitarget bert model 1633847052, head 0.12 threshold
|
SplitBertSinsigCEMult025
web_meta: 533
split-bert-model sbr:2005741938 predict Predict_mse_Predict_ce_0_25_1633847052_sinsig_standartized Split distillation of the sinsig ce multitarget bert model 1633847052, head 0.25 threshold
|
SplitBertSinsigCEMult05
web_meta: 534
split-bert-model sbr:2005741938 predict Predict_mse_Predict_ce_0_5_1633847052_sinsig_standartized Split distillation of the sinsig ce multitarget bert model 1633847052, head 0.5 threshold
|
SplitBertSinsigCEMult078
web_meta: 535
split-bert-model sbr:2005741938 predict mse_Predict_ce_0_78_1633847052_sinsig_standartized Split distillation of the sinsig ce multitarget bert model 1633847052, head 0.78 threshold
|
SplitBertSinsigCEMult13
web_meta: 536
split-bert-model sbr:2005741938 predict Predict_mse_Predict_ce_1_3_1633847052_sinsig_standartized Split distillation of the sinsig ce multitarget bert model 1633847052, head 1.3 threshold
|
SplitBertSinsigCEMult20
web_meta: 537
split-bert-model sbr:2005741938 predict Predict_mse_Predict_ce_2_0_1633847052_sinsig_standartized Split distillation of the sinsig ce multitarget bert model 1633847052, head 2.0 threshold
|
SplitBertProximaMseNoTextInTrain
web_meta: 538
split-bert-model sbr:2005741938 predict Predict_mse_prediction_1625097377_proxima_standartized Split distillation of the proxima mse bert model 1625097377
|
SplitBertDBDMSE
web_meta: 539
split-bert-model sbr:2005741938 predict Predict_mse_prediction_1633307071_dbd_standartized Split distillation of the dbd mse bert model 1633307071
|
SplitBertFresh
web_meta: 540
split-bert-model sbr:2005741938 predict prediction_1528253243_sinsig_fresh_20200118_0502_standartized Split distillation of the fresh bert model 1528253243
|
SplitBertIsPirate
web_meta: 541
split-bert-model sbr:2005741938 predict prediction_1644380449_is_pirate_0807_standartized Split distillation of the is_pirate bert model 1644380449
|
SplitBertNovSinsigMSE
web_meta: 542
split-bert-model sbr:2005741938 predict Predict_oct_large_1871529228_sinsig_relev10_mse_stand_mse Split distillation of the nov-large model with relev10 1871529228
|
SplitBertNovProximaMSE
web_meta: 543
split-bert-model sbr:2005741938 predict Predict_oct_large_1872243553_proxima_relev10_mse_stand_mse Split distillation of the nov-large model with relev10 1872243553
|
SplitBertXLLaVMSE
web_meta: 544
split-bert-model sbr:2005741938 predict Predict_xLarge_prediction_nov_lav_1990027087_standartized_mse Split distillation of the xlarge model with relev10 1990027087
|
SplitBertXLProximaMSE
web_meta: 545
split-bert-model sbr:2005741938 predict Predict_xLarge_prediction_nov_proxima_1970068024_standartized_mse Split distillation of the nov-large model with relev10 1970068024
|
SplitBertFinLawMSE
web_meta: 546
split-bert-model sbr:2005741938 predict Predict_Large_predict_target_fin_law_1967416198_standartized_mse Split distillation of the large model 1967416198
|
SplitBertMedMSE
web_meta: 547
split-bert-model sbr:2005741938 predict Predict_Large_predict_target_med_doc_1967182618_standartized_mse Split distillation of the large model 1967182618
|
SplitBertSosMSE
web_meta: 548
split-bert-model sbr:2005741938 predict Predict_Large_predict_target_sos_1969262884_standartized_mse Split distillation of the large model 1969262884
|
SplitBertXlLavPlatformMSE
web_meta: 549
sbr:2411087272 splitv3 head Predict_jul_xlarge_lav_with_platform_2344793612_stand_mse
|
SplitBertXlSinsigBasketsPlatformMse
web_meta: 550
sbr:2411087272 splitv3 head Predict_jul_xlarge_sinsig_baskets_with_platform_2339818891_stand_mse
|
SplitBertXlLavMergeCsTsTtPlatformMse
web_meta: 551
berts_storage:2022/02/artmironov/2831823537 splitv4 head Predict_bert_650_merge_platform_no_trans_v1_2784077050_stand_mse
|
CsBertXlSinsigBasketsMse
web_meta: 555
bert model 2021/09/boyalex/2405042847 head: Predict_jul_xlarge_sinsig_baskets_2339818891_stand_mse
|
CsBertCleverClicksMse
web_meta: 556
bert model 2021/09/boyalex/2405042847 head: Predict_large_cs_clever_clicks_2360931838_stand_mse
|
CsBertGooglePosMse
web_meta: 557
bert model 2021/09/boyalex/2405042847 head: Predict_large_google_2334139725_stand_mse
|
CsBertCsPQMse
web_meta: 558
bert model 2021/09/boyalex/2405042847 head: Predict_pq_large_2394064809_stand_mse
|
CsBertXlCsSinsigsMse
web_meta: 559
bert model 2021/09/boyalex/2405042847 head: Predict_jul_xlarge_cs_sinsig_full_2394990987_stand_mse
|
CsBertXlCsApscoreMse
web_meta: 560
bert model 2021/09/boyalex/2405042847 head: Predict_jul_xlarge_cs_apscore_2397363137_stand_mse
|
MetaHasNewsAgencyRatingGroupsCount
web_meta: 561
Count of news documents in PRS in top_1 document in all TMetaGroup's
|
MetaHasNewsAgencyRatingDocsCount
web_meta: 562
Count of news documents in PRS
|
MetaIsQueryInPopularList
web_meta: 563
is query in popular queries list at 202108
|
DmozQueryThemes
web_new_l1: 1
The theme of the request determined ((http://wiki.yandex-team.ru/jandekspoisk/zarubezhnyjjinternet/dmozqueryClassifier1 The rule of the sorcerer Dmoztheme)), only a few of the most popular topics are taken into account.
|
DmozQueryBestTheme
web_new_l1: 2
The most likely theme of the request determined ((http://wiki.yandex-team.ru/jandekspoisk/zarubezhnyjjinternet/dmozqueryClassifier1 The rule of the sorcerer DmozTheme)), only the most popular topics are taken into account (but there are more than in the DMOZQUREMES factor). The factor contains the likelihood of a correspondence of the request of the theme, but for each topic, its own interval is taken on the segment [0..1]
|
PopularQ
web_new_l1: 3
The popularity of the request
|
QDiversity
web_new_l1: 4
The degree of centralization of the points from which the request is set
|
Diversity2
web_new_l1: 5
Geographical distribution of the request
|
HourDiversity
web_new_l1: 6
The severity of the querial tasks at different times of the day
|
AvgSessionLen
web_new_l1: 7
The average length of the logical session in which there was a request
|
Found
web_new_l1: 8
The average number of found on request
|
NightQuery
web_new_l1: 9
The request is set mainly at night
|
MorningQuery
web_new_l1: 10
The request is set mainly in the morning
|
DayQuery
web_new_l1: 11
The request is given mainly in the afternoon
|
EveningQuery
web_new_l1: 12
The request is set mainly in the evening
|
CountryPopularQ
web_new_l1: 13
The popularity of the request within the country
|
CountryQDiversity
web_new_l1: 14
The degree of centralization of the points from which the request is set (inside the country)
|
CountryQDiversity2
web_new_l1: 15
Geographical distribution of the request within the country
|
CountryHour
web_new_l1: 16
The hour at which this request is given the most
|
CountryHourDiversity
web_new_l1: 17
The degree of severity of the querial tasks at different times of the day (inside the country)
|
MusicQ
web_new_l1: 18
The musicality of the request. The results of the sorcerer Anton Konygin.
|
QueryNonCommerciality
web_new_l1: 19
The commercial request for the dictionary of phrases from Direct: 0 - maximum commercial, 1 - minimal.
|
QueryCommercialityMx
web_new_l1: 20
The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))
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IsNavMxQuery
web_new_l1: 21
Rank 'navigation'
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NonCommercialQuery
web_new_l1: 22
Binar non -profit request: Querynoncommerciality> 0.965.
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PornoQuery
web_new_l1: 23
Are there any words from Yweb/Pornofilter/Porno.query.
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XPornoQuery
web_new_l1: 24
Classifier of Porn Causions, another dictionary than Pornoquery
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QBlog
web_new_l1: 25
Whether the request of blog vocabulary contains
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IsNavQuery
web_new_l1: 26
Is the request for navigation, on the clicking of the answers
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IsForeignQuery
web_new_l1: 27
Request is not in Russian
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VideoQuery
web_new_l1: 28
Request about the video
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GeoRegionalityU
web_new_l1: 29
Requestful factors - the result of work ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/georegionality classifier of geolocalization of the request)))))))))))))
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GeoRegionalityR
web_new_l1: 30
R- Georelevan - regional results in the issuance could be useful, but nothing more
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GeoRegionalityV
web_new_l1: 31
V- geovital - regional issuance is of fundamental importance
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GeoRegionalityUNew
web_new_l1: 32
Requestful factors - the result of the work ((http://wiki.yandex-team.ru/poiskovajaplatforma/lingvistika/zaprosnyjefefactory/localizovannyjezaprosya classifier of the request of the request)) - a new version of factors [328] - [328] - [328]: u - u - u - u - u - u - uceleless sites the request is meaningless;
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GeoRegionalityRNew
web_new_l1: 33
Запросные факторы - результат работы ((http://wiki.yandex-team.ru/PoiskovajaPlatforma/Lingvistika/ZaprosnyjeFactory/LocalizovannyjeZaprosy классификатора геолокализованности запроса)) - новая версия факторов [328]-[330]: R - георелевантные - региональные результаты в issuing could be useful, but nothing more;
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GeoRegionalityVNew
web_new_l1: 34
Requestful factors - the result of the work ((http://wiki.yandex-team.ru/poiskovajaplatforma/lingvistika/zaprosnyjefefactory/localizovannyjezaprosy classifier of the request of the request)) - a new version of factors [328]: Vegetable fundamental importance.
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RegNavQuery
web_new_l1: 35
Regional and navigation request - in the user region there are one or more navigation results on it
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QueryThVideohosting
web_new_l1: 36
The result of the work of the lexical classifier of requests predicting the likelihood of click on the page 3973 page
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QueryThEncyclopedic
web_new_l1: 37
The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561
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QrTur
web_new_l1: 38
The prediction of the share of “good” (at least two different cities and frequency> = 10) references to the request with geography in Turkey
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NearbyQuery
web_new_l1: 39
When responding to a request, the results are important in close proximity ([pharmacies], [children's clinic])
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CityQuery
web_new_l1: 40
When answering a request, the results within the city are important (the bulk of localized queries)
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AdmQuery
web_new_l1: 41
When responding to a request, the results from the region, the region of the user ([airport], [dairy]) are important
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IsGeo
web_new_l1: 42
It launches on the basic search under the name ISGEO the maximum weight of the meters of the gelator in the request. A geo-object is understood as an object of the category GEO, Geo1, Geoaddr, Geoaddr1, Landmark, Landmark1 (see ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects kaovsky allocation))))))))))))))))))))))))))))))). wiki.yandex-team.ru/arsengadzhikurbanov/wares Read more))
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IsMusic
web_new_l1: 43
It launches on the basic searches under the name ISMUSIC the maximum weight of the Music or Music1 category met in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees more))))))))))))))))))))))
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IsOrg
web_new_l1: 44
The request is the name of the organization (example: Gazprom, Gazprom) ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees Description))
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IsHum
web_new_l1: 45
It launches on the basic search under the name ISHUM the maximum weight of the enclosed object of the Hum or Hum1 category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ishum more)))))
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IsText
web_new_l1: 46
It launches on the basic search under the name ISTEXT the maximum weight of the TEXT or Text1 category of the category of the category met in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#istext more)))
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IsPicture
web_new_l1: 47
It launches on the basic search under the name Ispicture the maximum weight of the Picture or Picture1 category of the category of the category of the category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ispicture))))))))))))))))))
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MinOne
web_new_l1: 48
Returns the maximum degree of household objects in the request under the name Wminone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#minone more)))))
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MaxOne
web_new_l1: 49
Returns the maximum degree of household objects in the request under the name Wmaxone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#maxone more)))))))
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CountryQueryRegionality
web_new_l1: 50
Country classifier of localization - how much the request implies the context of the country
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QClassDownload
web_new_l1: 51
= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen
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QClassBrandnames
web_new_l1: 52
The result of the classifier of the request - in the request there are words from the corresponding dictionary. brand
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QClassDisease
web_new_l1: 53
Medication Dictionary
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QClassKak
web_new_l1: 54
question
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QClassMoscow
web_new_l1: 55
Specific request for Moscow
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QClassOAO
web_new_l1: 56
organization
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QClassPorno
web_new_l1: 57
porn
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QClassTravel
web_new_l1: 58
trips
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DiversityCategNeedPhoto
web_new_l1: 59
0 or 1, depending on the presence in the request of the clearly expressed intent Need_photo from the variety
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DiversityCategNeedMap
web_new_l1: 60
0 or 1, depending on the presence in the request of the clearly expressed intent Need_map from the variety
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DiversityCategDownload
web_new_l1: 61
0 or 1 - whether the request is matured by the tickt
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DiversityCategReview
web_new_l1: 62
0 or 1 - whether the request is matured by the tickt
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DiversityCategWatch
web_new_l1: 63
0 or 1 - whether the request is matured by the tickt
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HasMisspell
web_new_l1: 64
There is a typo in the request
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ErratumLogQueryProbability
web_new_l1: 65
Double logarithm of the probability of a request for a language model of the Erratum typo service
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MisspellLmNgrYandexDirectOriginal
web_new_l1: 66
Summary Skorov words of a request for a language model 3GRAMS-YANDEX-DIRECT.
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MisspellLmRtlNgrWebMtOriginal
web_new_l1: 67
Summary of the Skorov words of the request by the Web-Mt language model.
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YabarWordDepthNodesGradientMin
web_new_l1: 68
The angle in the Depth Nodes space, counted only by words (min for all)
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FractionOfQueriesWithGeoPredicted
web_new_l1: 69
Prediction of a share of requests with geography on a bag of words built for request
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IsLocalProbability
web_new_l1: 70
The value of the classifier of localization for request
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IsExactUrl
web_new_l1: 71
The request is a Urle with an accuracy of the points and testing characters - the ISURL sorcerer's rule is used
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IsRelevLocaleRU
web_new_l1: 72
Relev_locale == ru
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IsRelevLocaleUA
web_new_l1: 73
Relev_locale == ua
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IsRelevLocaleBY
web_new_l1: 74
relev_locale == by
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IsRelevLocaleKZ
web_new_l1: 75
relev_locale == kz
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IsRelevLocaleTR
web_new_l1: 76
relev_locale == tr
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IsRelevLocaleID
web_new_l1: 77
relev_locale == id
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IsRelevLocaleWORLD
web_new_l1: 78
relev_locale == world
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HasPornoQuery
web_new_l1: 79
The result of the work of Adult Rules for the Sorcerer.
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QClassPornoVw
web_new_l1: 80
Porn query classification result from Wizard (iad_vw flag, based on Vowpal Wabbit)
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DssmVkPopularity
web_new_l1: 81
The probability that the VK.com host is popular for this request in accordance with the corresponding DSSM model.
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DssmOnlinerPopularity
web_new_l1: 82
The probability that the Onliner.by host is popular for this request according to the corresponding DSSM model.
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DssmRamblerPopularity
web_new_l1: 83
The probability that the Rambler.ru host is popular for this request in accordance with the corresponding DSSM model.
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DssmExpertcenPopularity
web_new_l1: 84
The likelihood that the ExpertCen.ru host is popular for this request in accordance with the corresponding DSSM model.
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DssmSunhomePopularity
web_new_l1: 85
The probability that the Sunhome.ru host is popular for this request according to the corresponding DSSM model.
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RandomLogQueryAvgNews
web_new_l1: 86
The average value of News for the year. It is calculated in offline.
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RandomLogQueryAvgAddTime
web_new_l1: 87
ADDTIME average value for the year. It is calculated in offline.
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RandomLogQueryAvgTxtHiRelSy
web_new_l1: 88
The average value of TXTHIRELSY for the year. It is calculated in offline.
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RandomLogQueryAvgTextLike
web_new_l1: 89
The average TEXTLIKE value is for the year. It is calculated in offline.
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RandomLogQueryAvgHasNoAllWordsTRSy
web_new_l1: 90
The average Hasnoallwordstersy value for the year. It is calculated in offline.
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RandomLogQueryAvgIsForum
web_new_l1: 91
The average value of ISFORUM for the year. It is calculated in offline.
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RandomLogQueryAvgHasPayments
web_new_l1: 92
The average value of Haspayments for the year. It is calculated in offline.
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RandomLogQueryAvgYabarHostAvgTime2
web_new_l1: 93
The average value is Yabarhostavgtime2 for the year. It is calculated in offline.
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RandomLogQueryAvgYabarUrlVisitors
web_new_l1: 94
The average value of Yabarurlvisitors for the year. It is calculated in offline.
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RandomLogQueryAvgQueryDOwnerOnlyClickRate
web_new_l1: 95
The average value of QueryDowneronlyClickRate for the year. It is calculated in offline.
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RandomLogQueryAvgDaterAge
web_new_l1: 96
The average value of Dateraage for the year. It is calculated in offline.
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RandomLogQueryAvgLongestText
web_new_l1: 97
The average value of the LonGestText for the year. It is calculated in offline.
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RandomLogQueryAvgDifferentInternalLinks
web_new_l1: 98
The average value is DifferentinTernallinks for the year. It is calculated in offline.
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RandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
web_new_l1: 99
The average value of QueryDowneronlyClickRate_Rreg is for a year. It is calculated in offline.
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RandomLogQueryAvgIsHub
web_new_l1: 100
The average ISHUB value is for the year. It is calculated in offline.
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RandomLogQueryAvgIsTargetBussinessCard
web_new_l1: 101
The average ISTARGETBUSSINESSCARD for the year. It is calculated in offline.
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RandomLogQueryAvgBM25_0
web_new_l1: 102
The average value is BM25_0 on request per year. It is calculated in offline.
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RandomLogQueryAvgBocm
web_new_l1: 103
The average value of BOCM for the year. It is calculated in offline.
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RandomLogQueryAvgIsIndexPage
web_new_l1: 104
The average ISindexpage is for the year. It is calculated in offline.
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RandomLogQueryAvgQueriesAvgCM2
web_new_l1: 105
The average value of queriesavgcm2 for the year. It is calculated in offline.
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RandomLogQueryAvgBrowserHostDownloadProbability
web_new_l1: 106
The average value of BrowserhostDownloadProbabolyity for the year. It is calculated in offline.
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RandomLogQueryAvgRegBrowserUserHub
web_new_l1: 107
The average value of Regbrowseruserhub for the year. It is calculated in offline.
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RandomLogQueryAvgAuxTitleBM25
web_new_l1: 108
Auxtitlebm25 average value for the year. It is calculated in offline.
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RandomLogQueryAvgQueryUrlCorrectedCtrXfactor
web_new_l1: 109
The average value of QuryurlCorrectedctrxFactor for the year. It is calculated in offline.
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RandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
web_new_l1: 110
The average value is QueryTodocallsumfcountTextbM11Norm16384 for the year. It is calculated in offline.
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RandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
web_new_l1: 111
The average value of the XFDTSHOWALLSUMWFSUMWBODYMINWIDESIZE for the year. It is calculated in offline.
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RandomLogQueryClicksWeightedAvgIsMainPage
web_new_l1: 112
Maintened by clicks ISMainPage value for the year. It is calculated in offline.
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RandomLogQueryClicksWeightedAvgYabarUrlAvgTime
web_new_l1: 113
Main -heated clicks of the Yabarurlavgtime value for the year. It is calculated in offline.
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RandomLogQueryClicksWeightedAvgDifferentInternalLinks
web_new_l1: 114
Maintened by clicks DifferentinTernallinks for the year. It is calculated in offline.
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RandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
web_new_l1: 115
Malpanized Dwelltime-AMI Value of Urldomainfraction for the year. It is calculated in offline.
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DssmQueryCountryToUrlEstimatedDistance
web_new_l1: 122
Predicted by demand and country, using a DSSM model, the length of the click from this country.
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DssmRandomLogQueryAvgNews
web_new_l1: 123
The average for the year for the year predicted using the neural network.
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DssmRandomLogQueryAvgAddTime
web_new_l1: 124
ADDTIME ADDTIME is predicted using a neural network for a year.
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DssmRandomLogQueryAvgTxtHiRelSy
web_new_l1: 125
The average Txthirelesy value predicted using a neural network for the year.
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DssmRandomLogQueryAvgTextLike
web_new_l1: 126
The average Textlike is predicted using a neural network for the year.
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DssmRandomLogQueryAvgHasNoAllWordsTRSy
web_new_l1: 127
The average HasnoallwordStrsy is predicted using a neural network for a year.
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DssmRandomLogQueryAvgIsForum
web_new_l1: 128
The average ISFORUM is predicted using a neural network for the year.
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DssmRandomLogQueryAvgHasPayments
web_new_l1: 129
The average Haspayments is predicted using a neural network for the year.
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DssmRandomLogQueryAvgYabarHostAvgTime2
web_new_l1: 130
The average value of Yabarhostavgtime2 for the year for the year.
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DssmRandomLogQueryAvgYabarUrlVisitors
web_new_l1: 131
The average yabarurlvisitors is predicted using a neural network for the year.
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DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate
web_new_l1: 132
The average value of QueryDowneronlyClickRate for the year for the year.
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DssmRandomLogQueryAvgDaterAge
web_new_l1: 133
The average Dateraage value for the year for a year predicted using a neural network.
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DssmRandomLogQueryAvgLongestText
web_new_l1: 134
The average LonGestText is predicted using a neural network for the year.
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DssmRandomLogQueryAvgDifferentInternalLinks
web_new_l1: 135
The average DifferentinTernallinks for the year for the year.
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DssmRandomLogQueryAvgQueryDOwnerOnlyClickRate_Reg
web_new_l1: 136
The average value of QueryDowneronlyClickRate_Rreg is predicted using a neural network for a year.
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DssmRandomLogQueryAvgIsTargetBussinessCard
web_new_l1: 137
The average ISTARGETBUSSINESSCARD is predicted using a neural network for the year.
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DssmRandomLogQueryAvgBocm
web_new_l1: 138
The average BOCM value predicted using a neural network for the year.
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DssmRandomLogQueryAvgIsIndexPage
web_new_l1: 139
The average ISindEXPAGE is predicted using a neural network for the year.
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DssmRandomLogQueryAvgQueriesAvgCM2
web_new_l1: 140
The average value of QueriesavGCM2 for the year for the year predicted using a neural network.
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DssmRandomLogQueryAvgBrowserHostDownloadProbability
web_new_l1: 141
The average BrowserhostdowLoadProbabolyti is predicted using a neural network for the year.
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DssmRandomLogQueryAvgRegBrowserUserHub
web_new_l1: 142
The average value of Regbrowseruserhub for the year for a year predicted using a neural network.
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DssmRandomLogQueryAvgAuxTitleBM25
web_new_l1: 143
The average AuxtitlebM25 average value for the year for the year.
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DssmRandomLogQueryAvgQueryUrlCorrectedCtrXfactor
web_new_l1: 144
The average value of QueryurlCorrectrxFactor for the year for the year.
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DssmRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
web_new_l1: 145
The average value of QueryTodoCallsumfcountTextbM11Norm16384 for the year for the year.
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DssmRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
web_new_l1: 146
The average value of the XFDTSHOWALSUMWFSUMWBODYMINWINDOWSIZE for the year for the year.
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DssmRandomLogQueryClicksWeightedAvgIsMainPage
web_new_l1: 147
The value of the ISMAINPAGE with clicks predicted using the neural network with clicks on request for the year.
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DssmRandomLogQueryClicksWeightedAvgYabarUrlAvgTime
web_new_l1: 148
A mid Yabarurlavgtime value predicted using a neural network with clicks for a year.
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DssmRandomLogQueryClicksWeightedAvgDifferentInternalLinks
web_new_l1: 149
DiffferentinTernallinks, which is predicted using a neural network, is a weighted net with clicks for a year.
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DssmRandomLogQueryDwelltimeWeightedAvgUrlDomainFraction
web_new_l1: 150
The Malue Network DwellTime-AMI predicted using the neural network is the value of Urldomainfraction for the year.
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Regionality5LocalizationProbability
web_new_l1: 151
The prediction of the probability that the request is localized in accordance with the regionality5 rule.
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LongQuerySyn
web_new_l1: 152
The factor is an analogue of LongQuery (the sum of the IDF words of the request), but with the 'correct' accounting of synonyms. Specifically, a minimum of IDF (i.e. the most frequent) of synonyms and words is selected.
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DssmBoostingXfOneSeAmSsHardQueryMutationDelSiteWordRenormedDistance
web_new_l1: 153
Characterizes the request for the degree of change from removing a fixed word ('site' for Kirilitsa), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
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DssmBoostingXfOneSeAmSsHardQueryMutationAddFixedYearWordRenormedDistance
web_new_l1: 154
Characterizes the request for the degree of change from the addition of a fixed word (number of some year), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
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DssmBoostingXfOneSeAmSsHardQueryMutationAddOnlineWordRenormedDistance
web_new_l1: 155
Characterizes a request for the degree of change from the addition of a fixed word ('online' for Kirilitsa), DSSM model DSSMBOOSTINGXFONESEAMSARD is used
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RandomLogWordMaxHasNoTr
web_new_l1: 156
For each word offline, the average Hasnotr meaning is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMaxIsLJ
web_new_l1: 157
For each word offline, the average ISLJ value is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMinBclmLite
web_new_l1: 159
For each word offline, the average BCLMLITE value is calculated for 3 months. Further, in all words of the request, a minimum of this value is taken.
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RandomLogWordSkipStopWordsMaxDBM40
web_new_l1: 160
For each word offline, the average DBM40 value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
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RandomLogWordSkipStopWordsMaxIsDesktopRequest
web_new_l1: 161
For each word offline, the average ISDESKTOPREQUEST value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
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RandomLogWordMaxRLQAvgHasNoAllWordsTrSyn
web_new_l1: 162
For each word offline, the average value of RLQAVGHASNOLLWORDSTRSYN is calculated at the request for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMaxDssmAggregatedAnnReg
web_new_l1: 163
For each word offline, the average DSSMAGGRETEDANNREG value is calculated at the request for 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordMaxMetaNumUrlsPerHostFixed
web_new_l1: 164
For each word offline, the average meaning of MetanumurlSperhostfixed is calculated in demands in 3 months. Further, in all words of the request, the maximum of this value is taken.
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RandomLogWordSkipStopWordsMaxSDIsNavMxQueryMax
web_new_l1: 165
For each word offline, the average value of MaxsdisnavmxqueryMax is calculated at the request for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.
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DssmGoogleSpecificity
web_new_l1: 166
DSSM prediction of google specificity for query
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KnnRandomLogQueryAvgAddTime
web_new_l1: 167
The average value of Randomlogqueryavgaddtime of the closest KNN queries.
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KnnRandomLogQueryAvgTxtHiRelSy
web_new_l1: 168
The average value of RandomlogqueryavgtXthirelsy nearest KNN queries.
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KnnRandomLogQueryAvgTextLike
web_new_l1: 169
The average value of Randomlogqueryavgtextlike nearest KNN queries.
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KnnRandomLogQueryAvgIsForum
web_new_l1: 170
The average value of Randomlogqueryavgisforum of the closest KNN queries.
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KnnRandomLogQueryAvgHasPayments
web_new_l1: 171
The average value of Randomlogqueryavghaspayments closest to KNN queries.
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KnnRandomLogQueryAvgDifferentInternalLinks
web_new_l1: 172
The average value of Randomlogqueryavgdiferentinternallinks of the nearest KNN queries.
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KnnRandomLogQueryAvgIsTargetBussinessCard
web_new_l1: 173
The average value of RandomlogqueryavgistargetbussinessCard of the nearest KNN queries.
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KnnRandomLogQueryAvgQueryToDocAllSumFCountTextBm11Norm16384
web_new_l1: 174
The average value is RandomlogqueryavgquerytododoCallsumfcountTextbM11NORM16384 of the nearest KNN queries.
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KnnRandomLogQueryAvgXfDtShowAllSumWFSumWBodyMinWindowSize
web_new_l1: 175
The average value is Randomlogqueryavgxfdtshowallsumwfsumwbodyminwindowsize closest KNN queries.
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IsDesktopRequest
web_new_l1: 176
request came from yandsearch (rearr.is_desktop == 1) (https://wiki.yandex-team.ru/users/lpshka/platformfeatures)
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IsMobileRequest
web_new_l1: 177
request came from touchsearch (rearr.is_mobile == 1) (https://wiki.yandex-team.ru/users/lpshka/platformfeatures)
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IsTabletRequest
web_new_l1: 178
request came from padsearch (rearr.is_tablet == 1) (https://wiki.yandex-team.ru/users/lpshka/platformfeatures)
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QueryDoppMedianDwelltime
web_new_l1: 179
Median dwelltai requests in history. Dwelltaym is cut to 6000. The request is normalized by doppelgangers
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QueryDoppMultipleClicksShows
web_new_l1: 180
The number of shows of the request with more than one click in history. The request is normalized by doppelgangers
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QueryDoppMultipleClicksProbability
web_new_l1: 181
The share of shows with more than one click from all shows in history. The request is normalized by doppelgangers
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QueryToTextAllAvg
web_new_l1: 182
The average value of the request factor according to lingvobusting - Querytotext is calculated in the Hippo rule LingBoostqueryFeatures
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QueryToTextKnnAllAvg
web_new_l1: 183
The average value of the request factor according to lingvobusting - Querytotextbyxfdtshowknn, is calculated in the Hippo rule LingBoostqueryFeatures
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XfDtShowAllTotalW
web_new_l1: 184
SUM / (SUM + 10) for the requested factor according to linguobosting - XFDTSHOW, is calculated in the Hippo rule LingBoostqueryFeatures
|
XfDtShowQuantile01
web_new_l1: 185
Quantile 0.1 For the request factor according to the XFDTSHOW linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
|
XfDtShowKnnQuantile10
web_new_l1: 186
Quantile 0.1 for the request factor according to the XFDTSHOWKNN linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
|
XfDtShowKnnQuantile09
web_new_l1: 187
Quantile 0.9 for the quantity factor according to the XFDTSHOWKNN linguosting data, is calculated in the LingBoostqueryFeatures Hotemaway Rules
|
QfufAllTotalWeight
web_new_l1: 188
SUM / (SUM + 10) for the requested factor according to QFUF linguosting data, is calculated in the LingBoostqueryFeatures Hotemaura
|
QfufAllAvg
web_new_l1: 189
The average value for the quoted factor according to QFUF lingvobusting data is calculated in the LingBoostqueryFeatures Hotemail Rules
|
NnOverDssmDotProduct
web_new_l1: 190
Newest runtime factor nn_over_dssm_dot_product. L0-embed relevance value, b-embed.
|
Mask100RelevanceSum
web_new_l1: 191
Newest runtime factor mask_100_relevance_sum
|
Mask100RelevanceAvg
web_new_l1: 192
Newest runtime factor mask_100_relevance_avg
|
Mask100RelevanceMin
web_new_l1: 193
Newest runtime factor mask_100_relevance_min
|
Mask100RelevanceMax
web_new_l1: 194
Newest runtime factor mask_100_relevance_max
|
Mask100RelevanceSumNormed
web_new_l1: 195
Newest runtime factor mask_100_relevance_sum_normed
|
Mask100RelevanceSumToTermCount
web_new_l1: 196
Newest runtime factor mask_100_relevance_sum_to_term_count
|
Mask100RelevanceSumToWordCount
web_new_l1: 197
Newest runtime factor mask_100_relevance_sum_to_word_count
|
Mask100RelevanceSumToMatchedWordCount
web_new_l1: 198
Newest runtime factor mask_100_relevance_sum_to_matched_word_count
|
Mask100MatchedTermCountNormed
web_new_l1: 199
Newest runtime factor mask_100_matched_term_count_normed
|
Mask100MatchedTermCountToTotalTermCount
web_new_l1: 200
Newest runtime factor mask_100_matched_term_count_to_total_term_count
|
Mask100MatchedWordCountToTotalWordCount
web_new_l1: 201
Newest runtime factor mask_100_matched_word_count_to_total_word_count
|
Mask100MatchedWordCountNormed
web_new_l1: 202
Newest runtime factor mask_100_matched_word_count_normed
|
Mask100WordWeightsSum
web_new_l1: 203
Newest runtime factor mask_100_word_weights_sum
|
Mask100WordWeightsAvg
web_new_l1: 204
Newest runtime factor mask_100_word_weights_avg
|
Mask100WordWeightsMin
web_new_l1: 205
Newest runtime factor mask_100_word_weights_min
|
Mask100WordWeightsMax
web_new_l1: 206
Newest runtime factor mask_100_word_weights_max
|
Mask100WordWeightsSumToTotalWordCount
web_new_l1: 207
Newest runtime factor mask_100_word_weights_sum_to_total_word_count
|
Mask010RelevanceSum
web_new_l1: 208
Newest runtime factor mask_010_relevance_sum
|
Mask010RelevanceAvg
web_new_l1: 209
Newest runtime factor mask_010_relevance_avg
|
Mask010RelevanceMin
web_new_l1: 210
Newest runtime factor mask_010_relevance_min
|
Mask010RelevanceMax
web_new_l1: 211
Newest runtime factor mask_010_relevance_max
|
Mask010RelevanceSumNormed
web_new_l1: 212
Newest runtime factor mask_010_relevance_sum_normed
|
Mask010RelevanceSumToTermCount
web_new_l1: 213
Newest runtime factor mask_010_relevance_sum_to_term_count
|
Mask010RelevanceSumToWordCount
web_new_l1: 214
Newest runtime factor mask_010_relevance_sum_to_word_count
|
Mask010RelevanceSumToMatchedWordCount
web_new_l1: 215
Newest runtime factor mask_010_relevance_sum_to_matched_word_count
|
Mask010MatchedTermCountNormed
web_new_l1: 216
Newest runtime factor mask_010_matched_term_count_normed
|
Mask010MatchedTermCountToTotalTermCount
web_new_l1: 217
Newest runtime factor mask_010_matched_term_count_to_total_term_count
|
Mask010MatchedWordCountToTotalWordCount
web_new_l1: 218
Newest runtime factor mask_010_matched_word_count_to_total_word_count
|
Mask010MatchedWordCountNormed
web_new_l1: 219
Newest runtime factor mask_010_matched_word_count_normed
|
Mask010WordWeightsSum
web_new_l1: 220
Newest runtime factor mask_010_word_weights_sum
|
Mask010WordWeightsAvg
web_new_l1: 221
Newest runtime factor mask_010_word_weights_avg
|
Mask010WordWeightsMin
web_new_l1: 222
Newest runtime factor mask_010_word_weights_min
|
Mask010WordWeightsMax
web_new_l1: 223
Newest runtime factor mask_010_word_weights_max
|
Mask010WordWeightsSumToTotalWordCount
web_new_l1: 224
Newest runtime factor mask_010_word_weights_sum_to_total_word_count
|
Mask001RelevanceSum
web_new_l1: 225
Newest runtime factor mask_001_relevance_sum
|
Mask001RelevanceAvg
web_new_l1: 226
Newest runtime factor mask_001_relevance_avg
|
Mask001RelevanceMin
web_new_l1: 227
Newest runtime factor mask_001_relevance_min
|
Mask001RelevanceMax
web_new_l1: 228
Newest runtime factor mask_001_relevance_max
|
Mask001RelevanceSumNormed
web_new_l1: 229
Newest runtime factor mask_001_relevance_sum_normed
|
Mask001RelevanceSumToTermCount
web_new_l1: 230
Newest runtime factor mask_001_relevance_sum_to_term_count
|
Mask001RelevanceSumToWordCount
web_new_l1: 231
Newest runtime factor mask_001_relevance_sum_to_word_count
|
Mask001RelevanceSumToMatchedWordCount
web_new_l1: 232
Newest runtime factor mask_001_relevance_sum_to_matched_word_count
|
Mask001MatchedTermCountNormed
web_new_l1: 233
Newest runtime factor mask_001_matched_term_count_normed
|
Mask001MatchedTermCountToTotalTermCount
web_new_l1: 234
Newest runtime factor mask_001_matched_term_count_to_total_term_count
|
Mask001MatchedWordCountToTotalWordCount
web_new_l1: 235
Newest runtime factor mask_001_matched_word_count_to_total_word_count
|
Mask001MatchedWordCountNormed
web_new_l1: 236
Newest runtime factor mask_001_matched_word_count_normed
|
Mask001WordWeightsSum
web_new_l1: 237
Newest runtime factor mask_001_word_weights_sum
|
Mask001WordWeightsAvg
web_new_l1: 238
Newest runtime factor mask_001_word_weights_avg
|
Mask001WordWeightsMin
web_new_l1: 239
Newest runtime factor mask_001_word_weights_min
|
Mask001WordWeightsMax
web_new_l1: 240
Newest runtime factor mask_001_word_weights_max
|
Mask001WordWeightsSumToTotalWordCount
web_new_l1: 241
Newest runtime factor mask_001_word_weights_sum_to_total_word_count
|
Mask110RelevanceSum
web_new_l1: 242
Newest runtime factor mask_110_relevance_sum
|
Mask110RelevanceAvg
web_new_l1: 243
Newest runtime factor mask_110_relevance_avg
|
Mask110RelevanceMin
web_new_l1: 244
Newest runtime factor mask_110_relevance_min
|
Mask110RelevanceMax
web_new_l1: 245
Newest runtime factor mask_110_relevance_max
|
Mask110RelevanceSumNormed
web_new_l1: 246
Newest runtime factor mask_110_relevance_sum_normed
|
Mask110RelevanceSumToTermCount
web_new_l1: 247
Newest runtime factor mask_110_relevance_sum_to_term_count
|
Mask110RelevanceSumToWordCount
web_new_l1: 248
Newest runtime factor mask_110_relevance_sum_to_word_count
|
Mask110RelevanceSumToMatchedWordCount
web_new_l1: 249
Newest runtime factor mask_110_relevance_sum_to_matched_word_count
|
Mask110MatchedTermCountNormed
web_new_l1: 250
Newest runtime factor mask_110_matched_term_count_normed
|
Mask110MatchedTermCountToTotalTermCount
web_new_l1: 251
Newest runtime factor mask_110_matched_term_count_to_total_term_count
|
Mask110MatchedWordCountToTotalWordCount
web_new_l1: 252
Newest runtime factor mask_110_matched_word_count_to_total_word_count
|
Mask110MatchedWordCountNormed
web_new_l1: 253
Newest runtime factor mask_110_matched_word_count_normed
|
Mask110WordWeightsSum
web_new_l1: 254
Newest runtime factor mask_110_word_weights_sum
|
Mask110WordWeightsAvg
web_new_l1: 255
Newest runtime factor mask_110_word_weights_avg
|
Mask110WordWeightsMin
web_new_l1: 256
Newest runtime factor mask_110_word_weights_min
|
Mask110WordWeightsMax
web_new_l1: 257
Newest runtime factor mask_110_word_weights_max
|
Mask110WordWeightsSumToTotalWordCount
web_new_l1: 258
Newest runtime factor mask_110_word_weights_sum_to_total_word_count
|
Mask011RelevanceSum
web_new_l1: 259
Newest runtime factor mask_011_relevance_sum
|
Mask011RelevanceAvg
web_new_l1: 260
Newest runtime factor mask_011_relevance_avg
|
Mask011RelevanceMin
web_new_l1: 261
Newest runtime factor mask_011_relevance_min
|
Mask011RelevanceMax
web_new_l1: 262
Newest runtime factor mask_011_relevance_max
|
Mask011RelevanceSumNormed
web_new_l1: 263
Newest runtime factor mask_011_relevance_sum_normed
|
Mask011RelevanceSumToTermCount
web_new_l1: 264
Newest runtime factor mask_011_relevance_sum_to_term_count
|
Mask011RelevanceSumToWordCount
web_new_l1: 265
Newest runtime factor mask_011_relevance_sum_to_word_count
|
Mask011RelevanceSumToMatchedWordCount
web_new_l1: 266
Newest runtime factor mask_011_relevance_sum_to_matched_word_count
|
Mask011MatchedTermCountNormed
web_new_l1: 267
Newest runtime factor mask_011_matched_term_count_normed
|
Mask011MatchedTermCountToTotalTermCount
web_new_l1: 268
Newest runtime factor mask_011_matched_term_count_to_total_term_count
|
Mask011MatchedWordCountToTotalWordCount
web_new_l1: 269
Newest runtime factor mask_011_matched_word_count_to_total_word_count
|
Mask011MatchedWordCountNormed
web_new_l1: 270
Newest runtime factor mask_011_matched_word_count_normed
|
Mask011WordWeightsSum
web_new_l1: 271
Newest runtime factor mask_011_word_weights_sum
|
Mask011WordWeightsAvg
web_new_l1: 272
Newest runtime factor mask_011_word_weights_avg
|
Mask011WordWeightsMin
web_new_l1: 273
Newest runtime factor mask_011_word_weights_min
|
Mask011WordWeightsMax
web_new_l1: 274
Newest runtime factor mask_011_word_weights_max
|
Mask011WordWeightsSumToTotalWordCount
web_new_l1: 275
Newest runtime factor mask_011_word_weights_sum_to_total_word_count
|
Mask111RelevanceSum
web_new_l1: 276
Newest runtime factor mask_111_relevance_sum
|
Mask111RelevanceAvg
web_new_l1: 277
Newest runtime factor mask_111_relevance_avg
|
Mask111RelevanceMin
web_new_l1: 278
Newest runtime factor mask_111_relevance_min
|
Mask111RelevanceMax
web_new_l1: 279
Newest runtime factor mask_111_relevance_max
|
Mask111RelevanceSumNormed
web_new_l1: 280
Newest runtime factor mask_111_relevance_sum_normed
|
Mask111RelevanceSumToTermCount
web_new_l1: 281
Newest runtime factor mask_111_relevance_sum_to_term_count
|
Mask111RelevanceSumToWordCount
web_new_l1: 282
Newest runtime factor mask_111_relevance_sum_to_word_count
|
Mask111RelevanceSumToMatchedWordCount
web_new_l1: 283
Newest runtime factor mask_111_relevance_sum_to_matched_word_count
|
Mask111MatchedTermCountNormed
web_new_l1: 284
Newest runtime factor mask_111_matched_term_count_normed
|
Mask111MatchedTermCountToTotalTermCount
web_new_l1: 285
Newest runtime factor mask_111_matched_term_count_to_total_term_count
|
Mask111MatchedWordCountToTotalWordCount
web_new_l1: 286
Newest runtime factor mask_111_matched_word_count_to_total_word_count
|
Mask111MatchedWordCountNormed
web_new_l1: 287
Newest runtime factor mask_111_matched_word_count_normed
|
Mask111WordWeightsSum
web_new_l1: 288
Newest runtime factor mask_111_word_weights_sum
|
Mask111WordWeightsAvg
web_new_l1: 289
Newest runtime factor mask_111_word_weights_avg
|
Mask111WordWeightsMin
web_new_l1: 290
Newest runtime factor mask_111_word_weights_min
|
Mask111WordWeightsMax
web_new_l1: 291
Newest runtime factor mask_111_word_weights_max
|
Mask111WordWeightsSumToTotalWordCount
web_new_l1: 292
Newest runtime factor mask_111_word_weights_sum_to_total_word_count
|
VideoPopularity
web_new_l1: 293
Video popularity factor from erf
|
PantherMatchAllGramAllMatchDontUseRelevanceAnnotationMaxValuesWeighted
web_new_l1: 294
Text Machine AnnotationMaxValueWeighted feature on all panther match without panther relevance
|
PantherMatchAllGramAllMatchDontUseRelevanceCosineMatchMaxPrediction
web_new_l1: 295
Text Machine CosineMatchMaxPrediction feature on all panther match without panther relevance
|
PantherMatchAllGramAllMatchDontUseRelevanceBM15
web_new_l1: 296
Text Machine Bm15_K0.1 feature on all panther match without panther relevance
|
PantherMatchAllGramAllMatchDontUseRelevanceWordCoverageAny
web_new_l1: 297
Text Machine WordCoverageAny feature on all panther match without panther relevance
|
PantherMatchAllGramTextMatchUseRelevanceAnnotationMaxValuesWeighted
web_new_l1: 298
Text Machine AnnotationMaxValueWeighted feature on panther match relevance
|
PantherMatchAllGramTextMatchUseRelevanceCosineMatchMaxPrediction
web_new_l1: 299
Text Machine CosineMatchMaxPrediction feature on panther match relevance
|
PantherMatchAllGramTextMatchUseRelevanceBM15
web_new_l1: 300
Text Machine Bm15_K0.1 feature on panther match relevance
|
PantherMatchAllGramTextMatchUseRelevanceWordCoverageAny
web_new_l1: 301
Text Machine WordCoverageAny feature on panther match relevance
|
PantherMatchAllGramTextMatchDontUseRelevanceAnnotationMaxValuesWeighted
web_new_l1: 302
Text Machine AnnotationMaxValueWeighted feature on panther match without relevance
|
PantherMatchAllGramTextMatchDontUseRelevanceCosineMatchMaxPrediction
web_new_l1: 303
Text Machine CosineMatchMaxPrediction feature on panther match without relevance
|
PantherMatchAllGramTextMatchDontUseRelevanceBM15
web_new_l1: 304
Text Machine Bm15_K0.1 feature on panther match without relevance
|
PantherMatchAllGramTextMatchDontUseRelevanceWordCoverageAny
web_new_l1: 305
Text Machine WordCoverageAny feature on panther match without relevance
|
PantherMatchBiNGramAllMatchUseRelevanceAnnotationMaxValuesWeighted
web_new_l1: 306
Text Machine AnnotationMaxValueWeighted feature on panther match
|
PantherMatchBiNGramAllMatchUseRelevanceCosineMatchMaxPrediction
web_new_l1: 307
Text Machine CosineMatchMaxPrediction feature on panther match
|
PantherMatchBiNGramAllMatchUseRelevanceBM15
web_new_l1: 308
Text Machine Bm15_K0.1 feature on panther match
|
PantherMatchBiNGramAllMatchUseRelevanceWordCoverageAny
web_new_l1: 309
Text Machine WordCoverageAny feature on panther match
|
PantherMatchBiNGramTextMatchUseRelevanceAnnotationMaxValuesWeighted
web_new_l1: 310
Text Machine AnnotationMaxValueWeighted feature on panther match
|
PantherMatchBiNGramTextMatchUseRelevanceCosineMatchMaxPrediction
web_new_l1: 311
Text Machine CosineMatchMaxPrediction feature on panther match
|
PantherMatchBiNGramTextMatchUseRelevanceBM15
web_new_l1: 312
Text Machine Bm15_K0.1 feature on panther match
|
PantherMatchBiNGramTextMatchUseRelevanceWordCoverageAny
web_new_l1: 313
Text Machine WordCoverageAny feature on panther match
|
PantherMatchUniGramAllMatchUseRelevanceAnnotationMaxValuesWeighted
web_new_l1: 314
Text Machine AnnotationMaxValueWeighted feature on panther match
|
PantherMatchUniGramAllMatchUseRelevanceCosineMatchMaxPrediction
web_new_l1: 315
Text Machine CosineMatchMaxPrediction feature on panther match
|
PantherMatchUniGramAllMatchUseRelevanceBM15
web_new_l1: 316
Text Machine Bm15_K0.1 feature on panther match
|
PantherMatchUniGramAllMatchUseRelevanceWordCoverageAny
web_new_l1: 317
Text Machine WordCoverageAny feature on panther match
|
NnOverFeaturesFormulaAll4YearsQMSEPrediction
web_production_formula_features: 0
A model trained to predict an assessment of the USSR-DUMP-20191206 PRS-20191207 ALL-4-YEARS QMSE 20K 0.2 -s 0.8 -z 1 formula.
|
NnOverFeaturesFormulaAll8YearsCe25Prediction
web_production_formula_features: 1
A model trained to predict an assessment of the USSR-DUMP-20191206 PRS-20191207 ALL-8-YEARS [T> 0.25] Crossentropy 20K 0.25 -s 0.8 -z 1.
|
NnOverFeaturesFormulaYangRelevance2YearsCe50Prediction
web_production_formula_features: 2
A model trained to predict an assessment of the USSR-DUMP-20191206 PRS-20191207 Yang-Relevance-2-Years [T> 0.5] Crossentropy 20K 0.25 -s 0.8 -z 1.
|
NnOverRapidClicksFeaturesFormulaOddPrediction
web_production_formula_features: 3
ODD target DSSM on top 200 catboost fstr features
|
NnOverRapidClicksFeaturesFormulaKosherLogPrediction
web_production_formula_features: 4
Log DT target DSSM on top 200 catboost fstr features
|
SearchOddRealTimeTrainingDssm
web_rtmodels: 0
RealTimeTraining Dssm trained on odd target
|
SearchPersRealTimeTrainingDssm
web_rtmodels: 1
RealTimeTraining Dssm trained on pers target
|
SearchLogDtRealTimeTrainingDssm
web_rtmodels: 2
RealTimeTraining Dssm trained on log_dt target
|
UserBertPersMSE
web_rtmodels: 3
user-bert-model sbr:2366952047 predict, distilled small pers model predicts
|
UserBertOddMSE
web_rtmodels: 4
user-bert-model sbr:2366952047 predict, distilled small odd model predict
|
UserBertSurplusMSE
web_rtmodels: 5
user-bert-model sbr:2366952047 predict, distilled small surplus model predict
|
UserBertLinTrMSE
web_rtmodels: 6
user-bert-model sbr:2366952047 predict, distilled small lintr model predict
|
UserBertPos1MSE
web_rtmodels: 7
user-bert-model sbr:2366952047 predict, distilled small pos1 model predict
|
UserBertPos4MSE
web_rtmodels: 8
user-bert-model sbr:2366952047 predict, distilled small pos4 model predict
|
TransformerPlaceholder7
web_rtmodels: 9
Placeholder
|
TransformerPlaceholder8
web_rtmodels: 10
Placeholder
|
TransformerPlaceholder9
web_rtmodels: 11
Placeholder
|
TransformerPlaceholder10
web_rtmodels: 12
Placeholder
|
SearchOdd2RealTimeTrainingDssm
web_rtmodels: 13
RealTimeTraining Dssm trained on odd target
|
SearchLogDt2RealTimeTrainingDssm
web_rtmodels: 14
RealTimeTraining Dssm trained on log_dt target
|
FeaturesPersonalModelPers
web_rtmodels: 15
Features personal model pers predict
|
FeaturesPersonalModelOdd
web_rtmodels: 16
Features personal model odd predict
|
FeaturesPersonalModelTr
web_rtmodels: 17
Features personal model tr predict
|
FeaturesPersonalModelSurplus
web_rtmodels: 18
Features personal model surplus predict
|
OriginalRequestMusicFirstClickFullMatchValue
ymusic_text_machine: 0
The factor for the original request. Stream Musicfirstclick. Algorithm: the maximum weight of the completely coincided with the request of the annotation.
|
OriginalRequestMusicFirstClickFullMatchAnyValue
ymusic_text_machine: 1
The factor for the original request. Stream Musicfirstclick. Algorithm: FullmatChanvalue.
|
OriginalRequestMusicFirstClickMixMatchWeightedValue
ymusic_text_machine: 2
The factor for the original request. Stream Musicfirstclick. Algorithm: MixMatchweightedValue.
|
OriginalRequestMusicFirstClickAnnotationMaxValueWeighted
ymusic_text_machine: 3
The factor for the original request. Stream Musicfirstclick. AnnotationmaxvalueWeighted algorithm - maximum weight (according to Mainweights Libra of Words) coverage of abstracts, weighed to the weight of the annotation.
|
OriginalRequestMusicFirstClickAnnotationMatchWeightedValue
ymusic_text_machine: 4
The factor for the original request. Stream Musicfirstclick. Algorithm AnnotationMatchweightedValue.
|
OriginalRequestMusicFirstClickPerWordAMMaxValueMin
ymusic_text_machine: 5
The factor for the original request. Stream Musicfirstclick. At least in all words from the size of 'maximum weight of annotations completely covered with a request and containing a given word.'
|
OriginalRequestMusicFirstClickCMMatch80AvgValue
ymusic_text_machine: 6
The factor for the original request. Stream Musicfirstclick. Algorithm: CMMATCH80AVGVALUE.
|
OriginalRequestMusicLastClickFullMatchValue
ymusic_text_machine: 7
The factor for the original request. Stream Musiclastclick. Algorithm: the maximum weight of the completely coincided with the request of the annotation.
|
OriginalRequestMusicLastClickFullMatchAnyValue
ymusic_text_machine: 8
The factor for the original request. Stream Musiclastclick. Algorithm: FullmatChanvalue.
|
OriginalRequestMusicLastClickMixMatchWeightedValue
ymusic_text_machine: 9
The factor for the original request. Stream Musiclastclick. Algorithm: MixMatchweightedValue.
|
OriginalRequestMusicLastClickAnnotationMaxValueWeighted
ymusic_text_machine: 10
The factor for the original request. Stream Musiclastclick. AnnotationmaxvalueWeighted algorithm - maximum weight (according to Mainweights Libra of Words) coverage of abstracts, weighed to the weight of the annotation.
|
OriginalRequestMusicLastClickAnnotationMatchWeightedValue
ymusic_text_machine: 11
The factor for the original request. Stream Musiclastclick. Algorithm AnnotationMatchweightedValue.
|
OriginalRequestMusicLastClickPerWordAMMaxValueMin
ymusic_text_machine: 12
The factor for the original request. Stream Musiclastclick. At least in all words from the size of 'maximum weight of annotations completely covered with a request and containing a given word.'
|
OriginalRequestMusicLastClickCMMatchTop5AvgPrediction
ymusic_text_machine: 13
The factor for the original request. Stream Musiclastclick. Algorithm: CMMATCHTOP5AVGPRENSTION.
|
OriginalRequestMusicLastClickCMMatch80AvgValue
ymusic_text_machine: 14
The factor for the original request. Stream Musiclastclick. Algorithm: CMMATCH80AVGVALUE.
|
OriginalRequestMusicLongClickFullMatchAnyValue
ymusic_text_machine: 15
The factor for the original request. Stream MusiclongClick. Algorithm: FullmatChanvalue.
|
OriginalRequestMusicLongClickMixMatchWeightedValue
ymusic_text_machine: 16
The factor for the original request. Stream MusiclongClick. Algorithm: MixMatchweightedValue.
|
OriginalRequestMusicLongClickAnnotationMaxValueWeighted
ymusic_text_machine: 17
The factor for the original request. Stream MusiclongClick. AnnotationmaxvalueWeighted algorithm - maximum weight (according to Mainweights Libra of Words) coverage of abstracts, weighed to the weight of the annotation.
|
OriginalRequestMusicLongClickAnnotationMatchWeightedValue
ymusic_text_machine: 18
The factor for the original request. Stream MusiclongClick. Algorithm AnnotationMatchweightedValue.
|
OriginalRequestMusicLongClickPerWordAMMaxValueMin
ymusic_text_machine: 19
The factor for the original request. Stream MusiclongClick. At least in all words from the size of 'maximum weight of annotations completely covered with a request and containing a given word.'
|
OriginalRequestMusicLongClickCMMatchTop5AvgPrediction
ymusic_text_machine: 20
The factor for the original request. Stream MusiclongClick. Algorithm: CMMATCHTOP5AVGPRENSTION.
|
OriginalRequestMusicLongClickCMMatch80AvgValue
ymusic_text_machine: 21
The factor for the original request. Stream MusiclongClick. Algorithm: CMMATCH80AVGVALUE.
|
OriginalRequestMusicSingleClickMixMatchWeightedValue
ymusic_text_machine: 22
The factor for the original request. Stream MusicsingleClick. Algorithm: MixMatchweightedValue.
|
OriginalRequestMusicSingleClickPerWordAMMaxValueMin
ymusic_text_machine: 23
The factor for the original request. Stream MusicsingleClick. At least in all words from the size of 'maximum weight of annotations completely covered with a request and containing a given word.'
|
OriginalRequestMusicSingleClickCMMatch80AvgValue
ymusic_text_machine: 24
The factor for the original request. Stream MusicsingleClick. Algorithm: CMMATCH80AVGVALUE.
|