Tag: TG_UNDOCUMENTED

Text relevance (Maxfreq is the frequency of the most frequent word that makes sense of the length of the document).

Link relevance. The factor will be remarked.

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).

PHRASE priority for TR is a text priority - there are all the words of the request in a row in the document.

(strict) there is all the words of the request in one link.

(Phrase) There are all the words of the request in a row in one line.

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]

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).

This is the news (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushichiekomponenty/klassificacionnye?v=tkd#h45859-3 Patterns in URL URL)))).

This is a catalog (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushhiekomponenty/klassificacionnye? .

Long document (the longer the document, the greater the value of the factor).

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

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'.

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)))))))

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

The complex Static Rank is assembled from static components according to a separate formula ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/#oftnd1 *))).

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)

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

In textual relevance, Lemma coincides.

The transformed number of words of the request in all url linos.

The document LR> 20 The number of words of the words of the request in the Links> 16, the factor about LR.

For documents with a high LR, a normalized lincat relevance excluding proximity, for documents with a low LR 0

URL High LR.

TR divided by a cube of the number of words in a request and transformed by a standard REMAPTR.

The language of the document is Russian.

The time of adding a page, more - a more old document; The root is placed from time displayed at the interval [0.1] so that 3+ years gives 1.

If the main page of the owner (most often a second -level domain, for example xxxx.ru), then the factor is 1. For bums, hosting, personal blogs, etc. (for example, Lifejornal, People.ru, etc.) - domains of the third level (such as xxxxx.narod.ru) will also have an equal factor 1.

The time for adding the main page of the owner (host?) Will be remaped like Addtime.

Simple BM25 in text.

Simple BM25 for links, the weights of the braces are not taken into account.

Simple BM25 in text and links at the same time.

All the words of the request are in the text + links.

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

The same as txtpair, but for links; Link weights are not taken into account.

BM25 from the number of sentences in the document in which it occurs.

BM25 according to only in the heading.

BM25 according to only with High Rel-bots ('significant', with the allocation (<b> ITP)).

Min (number of words of request/10, 1.f)

1 / quantity_lov_v_

The document has no TR.

The document has no LR.

The number of hops of Url inpans (such as less - closer to the muzzle, the lower the value (0 - the muzzle, 1 - from the muzzle cannot be reached, 0 <can get from the muzzle <1). Normal value for the root of the nosta 0.0039).

Logarithm from LR, linearly displayed in [0.1].

the presence of pairs of words in the exact form

the number of sentences in which there are many words in the exact form

the presence of words in the header in the exact form

BM25 in the exact form

Simple BM25 in the exact form.

the presence of pairs of words taking into account synonyms (> = txtpair)

the number of sentences in which there are many words taking into account synonyms

the presence of words in the header, taking into account synonyms

BM25 taking into account synonyms

Simple BM25 taking into account synonyms.

There are all the words of the request in the links

There are all the words of the request in one link

There is a link that has passed quorum

What is the share of “good” links

How many “bad” links (bad = DPR = 0)

Maximum DPR links

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.

Linkovaya relevance by Gulina

Linkovaya relevance by Gulina

Linkovaya relevance by Gulina

There is an exact form of all words of the request in the text/lincers

There is a lemma of all the words of the request in the text/lincers

The document passed Softand on the restrictions of the syntactic sorcerer. Only for documents with textual relevance. For monosyllabic requests, always 1.

It is equal to one if the site has a Ukrainian geoist (i.e. 1 - Ukrainian site)

Page from the blogochosting

Page with Livejournal.com

The quality of the text. It is considered a rather complex formula

Text quality (classifier Alekseeva)

The musicality of the request. The results of the sorcerer Anton Konygin.

The number of links that exactly coincide with a request

Document length in sentences

The length of the URL, divided by 5

The size of the host named after Raskovalov in the documents without taking into account the takes (each double is taken into account in the factor by an independent document)

Document type - HTML

The number of reverse dispersion times of the appearance of links with the words of the request

Link relevance, taking into account thematicity

Link relevance, taking into account thematicity

Link relevance, taking into account thematicity

Link relevance, taking into account the quality of each link

Link relevance, taking into account the quality of each link

Link relevance, taking into account the quality of each link

Link relevance, taking into account the quality of each link and thematicity of each link

Link relevance, taking into account the non -profitability of each link

Link relevance, taking into account the non -profitability of each link and thematic

Link relevance, taking into account the non -profitability of each link and quality of each link

Link relevance, taking into account the non -profitability of each link, the quality of each link and thematicity

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)))))))

The percentage of incoming links with the words of the request

The percentage of incoming links with all the words of the request

Are there any words from Yweb/Pornofilter/Porno.query.

Document from porn kitski

Fast document

page from ru.wikipedia.org

Commercial page (Classifier Savina)

The document does not have all the words of the request (with an accuracy to a synonym)

The percentage of the words of the request in the document (with an accuracy to a synonym)

The document has all the words of the request (with an accuracy to a synonym)

The percentage of the words of the request in the links (with an accuracy to a synonym)

There are all the words of the request in the links (with an accuracy to a synonym)

Tr by pairs of words in the reverse order

Lr by pairs of words of the request in the reverse order

TR by pairs of words of the request through one word in texts

Lr by pairs of words of the request through one word in texts

The percentage of all the words of the request in the text (with an accuracy to the form)

The document has all the words of the request (with an accuracy to the form)

Whether the request of blog vocabulary contains

log (lr, narrowed to the country of the user)

log (leerflr, narrowed to the country of the user)

The number of links that coincide with the text of the request (other Remap)

Xlerflrlogrelev (normalized for the amount of LerF-wwees of all links, and not for the amount of their source scales)

Xnoncommlrlogrelev (normalized for the amount of noncomm all links, and not for the amount of their source scales)

Link relevance, taking into account the non -profitability of each link and thematic

Xnoncommelrfnormlrlogrelev (normalized for the amount of noncommlrf-wigles of all links, and not for the amount of their source scales)

Link relevance, taking into account the non -profitability of each link, the quality of each link and thematicity

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

The length of the page text in the words tlen = map (number of words, 1/400), where map (x, y) = x*y / (1 + x*y)

The page is unattainable by the links from the muzzle.

LR, taking into account the coincidence of the language and request

LR, taking into account the coincidence of the language of the link and request and accuracy

LR for catchard descriptions

LR to write off in Yandex.Catalog

The length of the maximum coincidence of forms in the text and request

Weight of maximum coincidence of forms in the text and request

The length of the maximum coincidence in the lemma in the text and request

The weight of the maximum coincidence by lemma in the text and request

The maskimal age of a significant accumulation of links that brought something to LR

Options for relevant factors taking into account the feet of words

Options for relevant factors taking into account the feet of words

Options for relevant factors taking into account the feet of words

Options for relevant factors taking into account the feet of words

Options for relevant factors taking into account the feet of words

TR of the best passage - how high -quality snippet

Tr with discount for suggestions

URL satisfies forum_detector regularly

The URL has an ancient date. Ancient news are recognized. Factor 1 if there is a year in Url <= 2007.

Weight of maximum coincidence of forms in the text and request

Weight of maximum coincidence of forms in the text and request

The page has a about 'payment SMS'.

Stage of the page

Pornography of the page

Three levels of coincidence of the geography of the user and page

Three levels of coincidence of the region of links and request

Geographical proximity

Request is not in Russian

The size of the page of the page

The factor is inversely proportional to the size of the page region

The size of the region of the request

The factor is inversely proportional to the size of the regional region

The geographical proximity of the user and the site

Link factor about the presence of a video on the page.

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

The same for lingonic relevance

Characterizes the frequency of words in links. The factor is large, if the word that played in a lincoat relevance is rare for links.

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

The weight of the words of the request that is in the text

The weight of the words of the request that is in the Links

The weight of the words of the request that is in the text and links

Document Porn on the text of Leskok

Document Porn on the text of Leskok, other normalization

Classifier of Porn Causions, another dictionary than Pornoquery

The geographical proximity of the country of the site and the country of request

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))

Analogs of the corresponding text factors for links. BM25 from the number of links in which a coincidence occurred.

Simple BM25 in the exact form in link texts

The presence of pairs in the links of the words, taking into account synonyms

The number of links passed the threshold

Simple BM25 by links taking into account synonyms

Request about the video

LR by links from Yandex.Market

The poetry of the document

The maximum poetry of the quatrain

Document language - English

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))

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)

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

There are no numbers in Urla

Show how much the text is unnatural from the point of view of the Russian language. Assessment of how much the text of the document can be considered as a generated synonymizer or automatic. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/antispam?v=1il#h58953-2 more))

Show how much the text is unnatural from the point of view of the Russian language. Assessment of how much the text of the document can be considered as a generated synonymizer or automatic. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/antispam?v=1il#h58953-2 more))

Show how much the text is unnatural from the point of view of the Russian language. Assessment of how much the text of the document can be considered as a generated synonymizer or automatic. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/antispam?v=1il#h58953-2 more))

Does the request have a complete syntactic analysis

The date of the document that is registered on the page is remarkable

BM25, where the selected segments of the request act as 'words'

'Weight' of the segments of the request in the text

An indicator of the unnaturalness of the text from the point of view of the Russian language. The number of bad pairs of words in the text, transferred to the segment [0.1] according to the Z/(Z+10) formula

The proportion of bad steam among all found in the table: Z/(X+1), where Z is the number of bad couples in the text, and X is (http://wiki.yandex-team.ru/evgenijgrechnikov/testsynonimizers of 2000-navigable )) steam

The number of Latin letters in the text (not counting the markings), driven into [0.1] formula n/(n+100)

Previous factors - fixed

Previous factors - fixed

Previous factors - fixed

Previous factors - fixed

Link relevance with pessimization for great age Link

The number of words in the text (the word is what the lemmeter selected) is displayed in [0.1] according to the formula x/(x+a)

The number of words of the Russian language in the title

The average length of the word

The percentage of the number of words inside the tag <a> .. </a> from the number of all words

The percentage of the number of words outside the tags (outside the brackets <>) from the number of all words

The percentage of the number of words, which are 200 the most frequent words of the language, from the number of all words of the text

The number used in the text 500 of the most popular words of the language, divided by 500

Logarithm of average geometric probabilities of trigrams in the text. (the probability of a trigram - the number of its meetings in the text, divided by the number of all trigrams) is displayed in [0.1] according to the formula -x (x+a)

Logarithm of the average geometric conditional probabilities of trigrams. The conditional probability of a trigram is its probability, divided by the probability of a bigram from the first two words

BM25 on URL'U

The page has a big picture

The difference between the current date and the date of the document defined by the dates, 1 - the date of the document is equal to the current, 0 - the document of 10 years or more, if the date is not defined, equal to 0. Attention! ((1 - dateraage)*60)^2 = age of the page In days.

The host factors determine the sites screwed by the links-the second and third incoming degrees ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/antispam?v=181rh58958953

The host factors determine the sites screwed by the links-the second and third incoming degrees ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/antispam?v=181rh58958953

The number of incoming links without Russian letters. Remembrance.

The maximum number of forms in all words of the request is max in all words of the request request_form_dl_lov/64

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).

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_

The maximum number of forms in all words of the request

Summer of the number of forms balanced by scales

Undested amount of the number of forms

Analogues of the factors of the same name, the weight of the word = 1

Analogues of the factors of the same name, the weight of the word = 1

Analogues of the factors of the same name, the weight of the word = 1

Analogues of the factors of the same name, the weight of the word = 1

Analogues of the factors of the same name, the weight of the word = 1

Analogues of the factors of the same name, the weight of the word = 1

The share of different parts of speech in the text. The share of numerals (among all words that managed to recognize part of the speech)

The share of particles

The share of pronoun adjectives

The proportion of pronoun nouns

The share of verbs

The share of words that can be both masculine nouns and nouns of the feminine, but not of the middle kind, among all nouns (examples: 'hummingbirds' are an example of an indefinite kind that can be determined in two ways, 'Alexander' is homonymy).

Quality of incoming links (hauser classifier) ​​corrected

Considered LinkQuality for this page or not (did not think, if there are few links) corrected

Quality classifier of incoming links 2 corrected

The request is the name of the organization (example: Gazprom, Gazprom) ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees Description))

Link relevance without taking into account rare words

The number of different internal links to the page

The city is defined for the site

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;

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;

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.

Ukrainian Page Rank

= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen

The result of the classifier of the request - in the request there are words from the corresponding dictionary. brand

Medication Dictionary

question

Specific request for Moscow

organization

porn

trips

The frequency of links to the site

The number of almost-periodic links

The presence of a LiveInternet meter

DSSM model with early binding, trained on reforming and learned on musical requests for Alice

Eleven factors based on the statistical properties of the distributions of the incoming degrees of peaks that refer to the fixed top of the hostographer. ((Http://wiki.yandex-team.ru/jandekpoisk/kachestvopoiska/obshayaformula/tekushhiekmponenty/HostdDEGRE)

URL feature computed from rapid clicks spy_log counters with decay of 1 day

URL feature computed from rapid clicks spy_log counters with decay of 1 day

URL feature computed from rapid clicks spy_log counters with decay of 0.5 days

URL feature computed from rapid clicks spy_log counters with decay of 0.5 day

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

Logarithm of the number of shingles on which this document is not unique

Logarithm of the number of shingles on which this owner of the document is recognized as the author

The average weight of non-ugly shingles of this document

It reads in the same way as the Hostrank factor, but not on all the Owner graph, but on its subrack, consisting of Owner's in this region. Belonging to the region is determined by TLD, or by the presence of pages with this Owner in the index, about which the GEO or Geoa classifier says that they are from this region. Mapped in the same way as the Hostrank factor, from 0 to 1 with 256 gradations

A document from the language section of Wikipedia corresponding to the user region

The language of the document corresponds to the language language

The country of the document (domain) and the country of the user coincide ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaFormula/tekushhiekomponijafaktorov#national

URL feature computed from rapid clicks spy_log counters with decay of 3 days

Country classifier of localization - how much the request implies the context of the country

The number of slashes in Url

The presence of a built -in video player on the page

Video for downloading

URL feature computed from rapid clicks spy_log counters with decay of 3 days

URL feature computed from rapid clicks spy_log counters with decay of 14 days

The factor is calculated from the text of Url using the classifier of sequences Quality/Seq/GSK

URL feature computed from rapid clicks spy_log counters with decay of 14 days

Age of rapid clicks spy_log update, in seconds

Freshness of rapid clicks spy_log update

Buettcher, Clarke and Lushman factor (modified) ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushichiekomponenty/bclm more)))))))))

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)

The coincidence of geography, determined from the Url of the document and the city of the request (IP or LR)

The coincidence of geography, determined from the Url of the Document and the Request region (IP or LR)

The coincidence of geography, determined from the Url of the document and the country of request (IP or LR). Actual for Russia and Ukraine.

The coincidence of geography, determined from Ural Documents and the City in the request (GEOCITY rule)

Calculates the coating of the request with letter trigrams of the document header

Calculates the heading of the heading of the document header with letter trigrams

Probabilistic model built on the texts of incoming links

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.

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.

The result has a geography of the user at the city level ([415] == 1 && [215] == 0)

Request geovitality for results from the user region

Request geovitality for the results is not from the user region

The share of the Urlov that respond without errors

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))

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

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))

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))))))))))))

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.

The size of the page of the page

Freshness of rapid clicks spy_log update, calculated at the request time

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))

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)))))))))))))))))))))

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)))))))))))))

When responding to a request, the results are important in close proximity ([pharmacies], [children's clinic])

When answering a request, the results within the city are important (the bulk of localized queries)

When responding to a request, the results from the region of the user ([airport], [dairy]) are important

The number of incoming muzzle links

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))

Binary factor, every word of the request is in the text or in the links

Page - '404' (share of tokens '404' in relation to the total number of tokens on the page)

URL feature computed at the request time from rapid clicks spy_log counters with decay of 1 day

BM25, in which the weight of the word is machine -like

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))

URL feature computed at the request time from rapid clicks spy_log counters with decay of 0.5 days

CONTRY / K

w/k

o/i

Number of letters in the AUX segment

The number of spaces in the AUX segment

The number of commas in the Content segment

((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/opisanijafaktorov#queryreftrigrams Description))))))))))))))))))

((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/opisanijafaktorov#queryreftrigrams Description))))))))))))))))))

Dispersion of IDF words,

Urlngramsmodel ranking factor in ERF

The language of the document corresponds to the country's request

The order of words in exiles.

The share of the segments of the request present in the text

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.

Variation of Temo ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/DBM25 dBM25), cm.

Document links dispersion

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.))

The popularity of the language of the document. Number from 0 to 1. (http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/languaguaguagepopalarity)))))))

URL feature computed at the request time from rapid clicks spy_log counters with decay of 3 days

URL feature computed at the request time from rapid clicks spy_log counters with decay of 14 days

The factor evaluates the differences in the positions of words in the heading from the posterity in the request

Dispersion of languages ​​in XMAP

There is a typo in the request

Variation of Temo ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/DBM25 dBM25), cm.

The ratio of the number of incoming links, the text of which is the URL, is one of the incoming links

The number of 'Nebukv 'in Url

Habi page

BM25 page title by its text

BM25 page title by texts of links to it

The number of COO-Thrilling links between hosts

The share of unique trigrams in the trigrams of links

Share of unique trigrams of links in trigrams header

The greasy of the page

The URL document corresponds to the user (http://wiki.yandex-team.ru/jandekspoisk/kacheStvopoiska/geo/regnavquerispoisk/KacheStvopoiska/GEO/RENAVAVQURIES)

Regional and navigation request - in the user region there are one or more navigation results on it

The sum of the maximum values ​​of Sourcerank's for each incoming link, taking into account the uniqueness of the owner.

BM25 in texts and links with special. Libra in the level of coincidence (shape, lemma, synonym)

The weight of the words of the request that is in the text in the exact form

The weight of the words of the request that is in the text with an accuracy to lemma

The weight of the words of the request that is in the text

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)))))

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)))

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))))))))))))))))))

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)))))))

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)))))

Clicking domain on biograms (excluding thesaurus extensions of requests)

Transitions to the site from search engines by biograms, according to the bar (excluding thesaurus extensions of requests)

The clickableness of the host according to the latest request (excluding thesaurus extensions of requests)

URL feature computed at the request time from rapid clicks search counters with decay of 1 day

URL feature computed at the request time from rapid clicks search counters with decay of 30 days

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]

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.

0 or 1, depending on the presence in the request of the clearly expressed intent Need_photo from the variety

0 or 1, depending on the presence in the request of the clearly expressed intent Need_map from the variety

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.

Personalized Turkish Pagerank

Expected number of found on request

The share of unique trigrams of a footer fragment in trigrams of links

The share of unique trigrams of links among a fragment of trigrams of a footer

Double logarithm of the probability of a request for a language model of the Erratum typo service

Variation of Temo ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/DBM25 dBM25), cm.

Variation on the topic BM25

Variation on the topic BM25

Variation on the topic BM25

DBM separately by numbers

DBM separately by geo-objects of request

DBM separately on the noun

Evals the correspondence of the positions of words in the sentences of the document to the positions of words in the request.

This is Index. (HTML/PHP/ASPX?/...), without CGI parameters. It is considered to be for all takes.

This is Index. (HTML/PHP/ASPX?/...), possibly with CGI parameters. It is considered to be for all takes.

Whether the host is the owner, conditionally host == Owner (Host).

The minimum length of Pathandquery for all half -shoes.

Regionalized (only links from the country of request are taken) variant of the Xlerfgeolrlogrelev factor

Regionalized (only links from the country of request are taken) variant of the factor XNONCOMMLERFNORMLRLOGRELAV

Regionalized (only links from the country of request are taken) Variant of Locm factor

Regionalized (only links from the country of request are taken) variant of factor xlrrelev

Regionalized (only links from the country of request are taken) variant of factor Xlerflrrelev200

Classifier for estimates of commercial sites

The document has a direct link to the file

The document has a link to filehosting

0 or 1 - whether the request is matured by the tickt

0 or 1 - whether the request is matured by the tickt

0 or 1 - whether the request is matured by the tickt

The prediction of the share of “good” (at least two different cities and frequency> = 10) references to the request with geography in Turkey

The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561

The result of the work of the lexical classifier of requests predicting the likelihood of click on the page 3973 page

Rank 'navigation'

Clicks on the urlahs shown in the issuance for requests, by which they went to look for other search engines

Urlov shows in the issuance for requests, by which they went to look for other search engines

Classifier of the commerciality of the site

The proximity of the words of the request to the most difficult word.

The document contains user review/comment

Classifier that approximate the quality of commercial sites based on user behavior data

The time of creating a document with an accuracy of 1.0 is the current month, 0- 10 years ago and older. Temporarily disconnected

The time for updating the document with an accuracy of 1.0 is the current month, 0- 10 years ago and older. Temporarily disconnected

The function of the credibility of the distribution of years in the document. Temporarily disconnected

Dispersion of the number of words in the links.

The arithmetic mean position of dates in the document. Temporarily disconnected

BM with attenuation in the text of catalog links.

The average position of Urla for a normalized request

The average position of Domattr for a normalized request

The average position of Urla for all requests

The average position of the host for all requests

Number of requests for URL

Number of requests for host

The share of the words of the document from the segments with Score> 2.

The rank of site quality used for boosts of the Moscow commercial formula

The factor is used in Selectionrank. TG_UNUSED: should not be included in the formulas to avoid feedback

URL feature computed at the request time from rapid clicks search counters with decay of 3 days

The weight of the document on a monosyllabic dictionary of commercial vocabulary

Shows that a request in Ukrainian

Average query commerciality

URL feature computed from rapid clicks search frozen counters with decay of 1 day

Content ugliness factor.

Static trigrams intercection of url and queries by which users visited the url.

The result of the work of Adult Rules for the Sorcerer.

URL feature computed from rapid clicks search frozen counters with decay of 30 days

TEXTBM25 is considered in the title by the text of the name of the user region - similar to the factor 268.

FRC Popular Search System for Browser Logs

URL feature computed from rapid clicks search frozen counters with decay of 3 days

Factor Gorelevregions of the 1th Attichut and Geoa

Factor GorelevregionRegionRegion Natthew GEOA

Factor Geogeetryproxim ▪ Attributu GEOA

Factor Gorelevaliencity n Att. Att. Attibtu Geoa

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

Geovquery Geovqueryinieniencity n Att. Att. Attib

PageRegionsize Factor by GEO attribute

PageRegioncoverage Factor GEO attribute

PageRegioncoverage Factor on Adresa attribute

GeorelevregionCity Factor on Adresa attribute

Host feature computed at the request time from rapid clicks spy_log counters with decay of 3 days

Host feature computed at the request time from rapid clicks spy_log counters with decay of 3 days

Host feature computed at the request time from rapid clicks spy_log counters with decay of 14 days

Host feature computed at the request time from rapid clicks spy_log counters with decay of 14 days

Host feature computed at the request time from rapid clicks spy_log counters with decay of 3 days

Host feature computed at the request time from rapid clicks spy_log counters with decay of 14 days

Host feature computed from rapid clicks spy_log counters with decay of 3 days

Host feature computed from rapid clicks spy_log counters with decay of 3 days

Host feature computed from rapid clicks spy_log counters with decay of 14 days

Host feature computed from rapid clicks spy_log counters with decay of 14 days

Host feature computed from rapid clicks spy_log counters with decay of 3 days

Host feature computed from rapid clicks spy_log counters with decay of 14 days

The factor according to the name from the original request is considered according to the contents of the document. Algorithm: Chain0wcm

The factor according to the name from the original request 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.

Factor for name from the original request text of the document. Algorithm Cosinematchmaxpredical.

The factor for all the name from the original request Aggregation on all extensions. Type of aggregation for extensions: the greatest value of the factor; It is considered according to the contents of the document. Algorithm: Chain0wcm

The factor for all the name from the original request Aggregation on all extensions. Type of aggregation for extensions: the greatest value of the factor; 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.

The factor for all the name from the original request Aggregation on all extensions. Type of aggregation for extensions: the greatest value of the factor; The text of the document. Algorithm Cosinematchmaxpredical.

DSSM CLOSE DISCOUNT according to data specific for Alice

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.

The prediction of the total time spent to the end of the session, provided that this pair is implemented by the request-document

The prediction of the contribution of this pair request-document to the timetable

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

Prediction of the time of the session, provided that this pair is requested by the request-document

The factor for the original request. It is considered to be toxicated by Ural. Algorithm Cosinematchmaxpredical.

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.

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).

The factor for the original request. It is considered according to the heading of the document. CMMATCHTOP5AVGMATCHVALUE algorithm.

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).

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.

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).

The factor for the original request. It is considered according to the contents of the document. Algorithm Cosinematchmaxpredical.

The factor for the original request. It is considered according to the contents of the document. Algorithm Allwcmweightedpredical.

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.

The factor for the original request. It is considered according to the contents of the document. Algorithm: Querypartmatchsumvalueany.

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).

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.

The factor for the original request. It is considered according to the contents of the document. Libra Agnregation algorithm: BM15Maxannotation normalization coefficient 0.01.

The normalized amount of the scales of the words of the request that met in the text of the document or links to it.

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.

The normalized amount of the scales of the words of the request that met in the text of the document.

The normalized amount of the scales of the words of the request that met in the links to the document.

The normalized amount of the scales of the words of the request that Equal_by_String in the links to the document.

The normalized scales for the IFILTRETRATIONMODEL words of the request that met in the text of the document or links to it.

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.

The normalized scales for the IFILTRETRATIONMODEL Words of the request, which Equal_by_lemma in the text of the document or links to it.

The normalized scales for the IFILTRETRATIONMODEL words of the request that met in links to the document.

The normalized scales for the IFILTRETRATIONMODEL Words of the request, which Equal_by_String in the links to the document.

Dssm Boosting query self similarity for XfWeight model.

Dssm Boosting AvgTop02Score aggregation for XfWeight model over 5-means centroids.

Dssm Boosting AvgTop04Score aggregation for XfWeight model over 5-means centroids.

Dssm Boosting AvgTop02ScoreAvgClusterTop3Weighted aggregation for XfWeight model over 5-means centroids.

Dssm Boosting AvgTop02Score aggregation for XfWeight model over 5-means centroids (query as expansion).

Dssm Boosting AvgTop02ScoreAvgClusterTop3Weighted aggregation for XfWeight model over 5-means centroids (query as expansion).

Dssm Boosting query self similarity for XfOne model.

Dssm Boosting Score aggregation for XfOne model over 1-means centroids.

Dssm Boosting ScaledSumWeight aggregation for XfOne model over 1-means centroids.

Dssm Boosting Score aggregation for XfOne model over 1-means centroids (query as expansion).

Dssm Boosting ScoreAvgNearest1Weighted aggregation for XfOne model over 1-means centroids (query as expansion).

Dssm Boosting ScoreAvgNearest5Weighted aggregation for XfOne model over 1-means centroids (query as expansion).

Dssm Boosting Score aggregation for XfOneSe model over 1-means centroids.

Dssm Boosting ScoreScaledSumWeighted aggregation for XfOneSe model over 1-means centroids.

Dssm Boosting ScoreAvgNearest5Weighted aggregation for XfOneSe model over 1-means centroids.

Dssm Boosting query self similarity for Ctr model.

Dssm Boosting Score aggregation for Ctr model over 1-means centroids.

Dssm Boosting Score aggregation for Ctr model over 1-means centroids (query as expansion).

Dssm Boosting ScoreScaledSumWeighted aggregation for Ctr model over 1-means centroids (query as expansion).

Dssm Boosting ScoreAvgNearest1Weighted aggregation for Ctr model over 1-means centroids (query as expansion).

AVG aggregation of HasPayments web factor using random log

AVG aggregation of VideoQuery web factor using random log

AVG aggregation of SyntQuality web factor using random log

PERCENTALE_90 aggregation of GeoRegionalityVNew web factor using random log

AVG aggregation of QClassDownload web factor using random log

AVG aggregation of IsMusic web factor using random log

PERCENTALE_25 aggregation of QueryThEncyclopedic web factor using random log

AVG aggregation of CommercialOwnerRank_Reg web factor using random log

PERCENTALE_25 aggregation of YabarWordDepthNodesGradientMin web factor using random log

AVG aggregation of PopularSEFRCBrowser web factor using random log

AVG aggregation of URLClicksMaxGeoRegionFRCRatio web factor using random log

PERCENTALE_90 aggregation of UBLongPeriodDirectHChildren90CntFromExtHost web factor using random log

PERCENTALE_90 aggregation of UBLongPeriodDtUrlHChildrenCut600Reg web factor using random log

AVG aggregation of IsPicture web factor using random log

AVG aggregation of ErratumLogQueryProbability web factor using random log

Predicted by demand and country, using a DSSM model, the length of the click from this country.

Type of canonized Urla Yandex Music - track

The document has a HTTPS protocol

Median dwelltai request in history. Dwelltaym is cut to 6000. The request is normalized by doppelgangers

The number of shows of the request with more than one click in history. The request is normalized by doppelgangers

The share of shows with more than one click from all shows in history. The request is normalized by doppelgangers

25% time quantile from the previous request to the current one. The request is normalized by doppelgangers

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).

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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).

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.

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.

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.

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.

Features calculated on url with request multitokens expansion

Features calculated on url with request multitokens expansion

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.

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]

The musicality of the request. The results of the sorcerer Anton Konygin.

Rank 'navigation'

Are there any words from Yweb/Pornofilter/Porno.query.

Classifier of Porn Causions, another dictionary than Pornoquery

Whether the request of blog vocabulary contains

Request is not in Russian

Request about the video

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;

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;

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.

Regional and navigation request - in the user region there are one or more navigation results on it

The result of the work of the lexical classifier of requests predicting the likelihood of click on the page 3973 page

The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561

The prediction of the share of “good” (at least two different cities and frequency> = 10) references to the request with geography in Turkey

When responding to a request, the results are important in close proximity ([pharmacies], [children's clinic])

When answering a request, the results within the city are important (the bulk of localized queries)

When responding to a request, the results from the region, the region of the user ([airport], [dairy]) are important

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))

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))))))))))))))))))))))

The request is the name of the organization (example: Gazprom, Gazprom) ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees Description))

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)))))

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)))

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))))))))))))))))))

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)))))

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)))))))

Country classifier of localization - how much the request implies the context of the country

= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen

The result of the classifier of the request - in the request there are words from the corresponding dictionary. brand

Medication Dictionary

question

Specific request for Moscow

organization

porn

trips

0 or 1, depending on the presence in the request of the clearly expressed intent Need_photo from the variety

0 or 1, depending on the presence in the request of the clearly expressed intent Need_map from the variety

0 or 1 - whether the request is matured by the tickt

0 or 1 - whether the request is matured by the tickt

0 or 1 - whether the request is matured by the tickt

There is a typo in the request

Double logarithm of the probability of a request for a language model of the Erratum typo service

The result of the work of Adult Rules for the Sorcerer.

Predicted by demand and country, using a DSSM model, the length of the click from this country.

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.

Median dwelltai request in history. Dwelltaym is cut to 6000. The request is normalized by doppelgangers

The number of shows of the request with more than one click in history. The request is normalized by doppelgangers

The share of shows with more than one click from all shows in history. The request is normalized by doppelgangers

25% time quantile from the previous request to the current one. The request is normalized by doppelgangers

The query getting into the TOP 11 clusters on Kernel metric based on DSSM proximity.

Requests got into the 34th cluster based on CTR-DSSM.

Indicator - is the request of the SEO -request

Indicator - is the request of the SEO -request from the list No. 1

Indicator - is the request of the SEO request from the list No. 2

Request contains full name from FIO Rules

Musical request from Alice

Musical request for the script of Arab Alice

1/(1 + number of words of the request), attributes are not taken into account

Is an attribute request (looks at rearr = attrs)

The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561

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))))))))))))))))))

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)))))))

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)))))

= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen

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.

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]

The musicality of the request. The results of the sorcerer Anton Konygin.

Rank 'navigation'

Are there any words from Yweb/Pornofilter/Porno.query.

Classifier of Porn Causions, another dictionary than Pornoquery

Whether the request of blog vocabulary contains

Request is not in Russian

Request about the video

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;

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;

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.

Regional and navigation request - in the user region there are one or more navigation results on it

The result of the work of the lexical classifier of requests predicting the likelihood of click on the page 3973 page

The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561

The prediction of the share of “good” (at least two different cities and frequency> = 10) references to the request with geography in Turkey

When responding to a request, the results are important in close proximity ([pharmacies], [children's clinic])

When answering a request, the results within the city are important (the bulk of localized queries)

When responding to a request, the results from the region, the region of the user ([airport], [dairy]) are important

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))

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))))))))))))))))))))))

The request is the name of the organization (example: Gazprom, Gazprom) ((http://wiki.yandex-team.ru/arsengadzhikurbanov/warees Description))

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)))))

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)))

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))))))))))))))))))

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)))))

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)))))))

Country classifier of localization - how much the request implies the context of the country

= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen

The result of the classifier of the request - in the request there are words from the corresponding dictionary. brand

Medication Dictionary

question

Specific request for Moscow

organization

porn

trips

0 or 1, depending on the presence in the request of the clearly expressed intent Need_photo from the variety

0 or 1, depending on the presence in the request of the clearly expressed intent Need_map from the variety

0 or 1 - whether the request is matured by the tickt

0 or 1 - whether the request is matured by the tickt

0 or 1 - whether the request is matured by the tickt

There is a typo in the request

Double logarithm of the probability of a request for a language model of the Erratum typo service

The result of the work of Adult Rules for the Sorcerer.

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.

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)))

The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561

The result of the work of the lexical classifier of requests predicting the likelihood of click on the page 3973 page

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))))))))))))))))))

porn

Rank 'navigation'

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)))))))

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)))))

= 1 - v. Download formula. Class requests: download/watch online/play/photo/listen

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.

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).

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.

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.

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.

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.

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).

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.

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.

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.

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.

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.

Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. The average weight of extensions.

Linguistic boosting factor. Type of extensions: Kinopoisksuggest (extensions of the textual orgate to text saddles). Aggregation on all extensions. The minimum expansion weight.

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.

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.

Document from porn kitski

Fast document

Commercial page (Classifier Savina)

URL satisfies forum_detector regularly

The URL has an ancient date. Ancient news are recognized. Factor 1 if there is a year in Url <= 2007.

The page has a about 'payment SMS'.

Clicks on the urlahs shown in the issuance for requests, by which they went to look for other search engines

Urlov shows in the issuance for requests, by which they went to look for other search engines

Stage of the page

Pornography of the page

The poetry of the document

The maximum poetry of the quatrain

Show how much the text is unnatural from the point of view of the Russian language. Assessment of how much the text of the document can be considered as a generated synonymizer or automatic. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/antispam?v=1il#h58953-2 more))

Show how much the text is unnatural from the point of view of the Russian language. Assessment of how much the text of the document can be considered as a generated synonymizer or automatic. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/antispam?v=1il#h58953-2 more))

Show how much the text is unnatural from the point of view of the Russian language. Assessment of how much the text of the document can be considered as a generated synonymizer or automatic. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAfermula/tekushhiekomponenty/antispam?v=1il#h58953-2 more))

An indicator of the unnaturalness of the text from the point of view of the Russian language. The number of bad pairs of words in the text, transferred to the segment [0.1] according to the Z/(Z+10) formula

The proportion of bad steam among all found in the table: Z/(X+1), where Z is the number of bad couples in the text, and X is (http://wiki.yandex-team.ru/evgenijgrechnikov/testsynonimizers of 2000-navigable )) steam

The number of Latin letters in the text (not counting the markings) driven into [0.1] formula n/(n+100)

The page has a big picture

The number of words in the text (the word is what the lemmeter selected) is displayed in [0.1] according to the formula x/(x+a)

The number of words of the Russian language in the title

The average length of the word

The percentage of the number of words inside the tag <a> .. </a> from the number of all words

The percentage of the number of words outside the tags (outside the brackets <>) from the number of all words

The percentage of the number of words, which are 200 the most frequent words of the language, from the number of all words of the text

The number used in the text 500 of the most popular words of the language, divided by 500

Logarithm of average geometric probabilities of trigrams in the text. (the probability of a trigram - the number of its meetings in the text, divided by the number of all trigrams) is displayed in [0.1] according to the formula -x (x+a)

Logarithm of the average geometric conditional probabilities of trigrams. The conditional probability of a trigram is its probability, divided by the probability of a bigram from the first two words

The share of different parts of speech in the text. The share of numerals (among all words that managed to recognize part of the speech)

The share of particles

The share of pronoun adjectives

The proportion of pronoun nouns

The share of verbs

The share of words that can be both masculine nouns and nouns of the feminine, but not of the middle kind, among all nouns (examples: 'hummingbirds' are an example of an indefinite kind that can be determined in two ways, 'Alexander' is homonymy).

The presence of a LiveInternet meter

The number of slashes in Url

The presence of a built -in video player on the page

Video for downloading

The factor is calculated from the text of Url using the classifier of sequences Quality/Seq/GSK

Number of letters in the AUX segment

The number of spaces in the AUX segment

The number of commas in the Content segment

Urlngramsmodel ranking factor in ERF

BM25 page title by its text

The greasy of the page

The weight of the document on a monosyllabic dictionary of commercial vocabulary

Page - '404' (share of tokens '404' in relation to the total number of tokens on the page)

This is the news (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushichiekomponenty/klassificacionnye?v=tkd#h45859-3 Patterns in URL $))))).

This is a catalog (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushhiekomponenty/klassificacionnye? .

This is Index. (HTML/PHP/ASPX?/...), without CGI parameters. It is considered to be for all takes.

This is Index. (HTML/PHP/ASPX?/...), possibly with CGI parameters. It is considered to be for all takes.

Whether the host is the owner, conditionally host == Owner (Host).

The minimum length of Pathandquery for all half -shoes.

The language of the document is Russian.

The time of adding a page, more - a more old document; The root is placed from time displayed at the interval [0.1] so that 3+ years gives 1.

If the main page of the owner (most often a second -level domain, for example xxxx.ru), then the factor is 1. For bums, hosting, personal blogs, etc. (for example, Lifejornal, People.ru, etc.) - domains of the third level (such as xxxxx.narod.ru) will also have an equal factor 1.

The number of hops of Url inpans (such as less - closer to the muzzle, the lower the value (0 - the muzzle, 1 - from the muzzle cannot be reached, 0 <can get from the muzzle <1). Normal value for the root of the nosta 0.0039).

It is equal to one if the site has a Ukrainian geoist (i.e. 1 - Ukrainian site)

Page from the blogochosting

Page with Livejournal.com

The page is unattainable by the links from the muzzle.

The number of 'Nebukv 'in Url

Habi page

Logarithm of the number of shingles on which this document is not unique

Logarithm of the number of shingles on which this owner of the document is recognized as the author

The average weight of non-ugly shingles of this document

The document contains user review/comment

The document has a direct link to the file

The document has a link to filehosting

The share of the words of the document from the segments with Score> 2.

Content ugliness factor.

The quality of the text. It is considered a rather complex formula

Text quality (classifier Alekseev)

Document length in sentences

The length of the URL, divided by 5

Document type - HTML

Document language - English

The popularity of the language of the document. Number from 0 to 1. (http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayaformula/tekushhiekomponenty/languaguaguagepopalarity)))))))

There are no numbers in Urla

The function of the credibility of the distribution of years in the document. Temporarily disconnected

The arithmetic mean position of dates in the document. Temporarily disconnected

page from ru.wikipedia.org

The share of the Urlov that respond without errors

The time for adding the main page of the owner (host?) Will be remaped like Addtime.

The number of COO-Thrilling links between hosts

Classifier for estimates of commercial sites

Classifier that approximate the quality of commercial sites based on user behavior data

The rank of site quality used for boosts of the Moscow commercial formula

AVG aggregation of HasPayments web factor using random log

AVG aggregation of VideoQuery web factor using random log

AVG aggregation of SyntQuality web factor using random log

PERCENTALE_90 aggregation of GeoRegionalityVNew web factor using random log

AVG aggregation of QClassDownload web factor using random log

AVG aggregation of IsMusic web factor using random log

PERCENTALE_25 aggregation of QueryThEncyclopedic web factor using random log

AVG aggregation of CommercialOwnerRank_Reg web factor using random log

PERCENTALE_25 aggregation of YabarWordDepthNodesGradientMin web factor using random log

AVG aggregation of PopularSEFRCBrowser web factor using random log

AVG aggregation of URLClicksMaxGeoRegionFRCRatio web factor using random log

PERCENTALE_90 aggregation of UBLongPeriodDirectHChildren90CntFromExtHost web factor using random log

PERCENTALE_90 aggregation of UBLongPeriodDtUrlHChildrenCut600Reg web factor using random log

AVG aggregation of IsPicture web factor using random log

AVG aggregation of ErratumLogQueryProbability web factor using random log

The size of the Host named after Raskovalov in the documents without taking into account the takes (each double is taken into account in the factor by an independent document)

Saturated TotalClicks by long user_profiles

Saturated TotalClicks by realtime user_profiles

Saturated clicks on first query in history, by realtime user_actions

Saturated clicks on previous query in history, by realtime user_actions

Saturated number of clicks in session by realtime user_actions

Saturated number of requests in session by realtime user_actions

Saturated number of long clicks which are not last in session by long user_profile

Saturated number of long clicks which are not last in session by realtime user_profile

Saturated number of last clicks in session by long user_profile

Inverted number of queries with the same topic by realtime user_profiles

Inverted number of clicked queries with the same topic by realtime user_profiles

Saturated number of user clicks on host by long user_profiles

Saturated number of user clicks on host by realtime user_profiles

Sum of time discounted user clicks on host by long user_profiles

Sum of time discounted user clicks on host by realtime user_profiles

Host was clicked on first query in session by realtime user_actions

Host was shown on first query in session by realtime user_actions

Inverted position of host on first query in session by realtime user_actions

Host was clicked on previous query in session by realtime user_actions

Host was shown on first query in session by realtime user_actions

Inverted position of host on previous query in session by realtime user_actions

Normalized query equals to previous one in session by realtime user_actions

CCTR(clicks[host], shows[host]), rt user_profiles

CTR(clicks[host], shows[host]) with time discount (1 / (1 + dt) for every click/skip where dt = days between now and click/skip), rt user_profiles

Sat(clicks[host] without short clicks and last-in-session clicks), long user_profiles

Sat(clicks[host] without short clicks and last-in-session clicks), rt user_profiles

CCTR(clicks[query-host], shows[query-host]) by long user_profiles

CCTR(clicks[query-host], shows[query-host]) by rt user_profiles

Sat(clicks[query-host]) by rt user_profiles

Saturated final host clicks by long user_profiles

Saturated final host clicks by rt user_profiles

hostDwelltime / (hostDwelltime + 60), realtime user_actions

Sat(clicks[host] without short clicks and last-in-session clicks) with time discount (1 / (1 + dt) where dt = days between now and click), long user_profiles

Sat(clicks[host] without short clicks and last-in-session clicks) with time discount (1 / (1 + dt) where dt = days between now and click), rt user_profiles

Saturated host final clicks with time discount (1 / (1 + dt) where dt = days between now and click) by long user_profiles

Saturated host final clicks with time discount (1 / (1 + dt) where dt = days between now and click) by rt user_profiles

Sat(long clicks[host]), long user_profiles

Sat(long clicks[host]), rt user_profiles

Sat(long clicks[host]) with time discount (1 / (1 + dt) where dt = days between now and click), long user_profiles

Sat(long clicks[host]) with time discount (1 / (1 + dt) where dt = days between now and click), rt user_profiles

CCTR2(clicks[host], shows[host]), rt user_profiles

CCTR2(clicks[query-host], shows[query-host]) by long user_profiles

CCTR2(clicks[query-host], shows[query-host]) by rt user_profiles

CCTR2(clicks[pos], skips[pos]) by long user_profiles

CCTR2(clicks[pos], skips[pos]) by realtime user_profiles

HostTopicShows to HostShows fraction by realtime user_profiles

HostTopicClicks to HostClicks fraction by realtime user_profiles

HostTopicClicks to HostTopicShows fraction by realtime user_profiles

Saturated final clicks for query-host pair by long user_profiles

Saturated final clicks for query-host pair by realtime user_profiles

CTR(clicks[query-host], shows[query-host]) by long user_profiles

CTR(clicks[query-host], shows[query-host]) by realtime user_profiles

CTR(clicks[url], shows[url]) by long user_profiles

CTR(clicks[url], shows[url]) by realtime user_profiles

CCTR(clicks[url], shows[url]) by realtime user_profiles

CCTR2(clicks[url], shows[url]) by long user_profiles

CCTR2(clicks[url], shows[url]) by realtime user_profiles

Saturated final clicks for url by long user_profiles

Saturated final clicks for url by realtime user_profiles

Saturated clicks for url by long user_profiles

Saturated clicks for url by realtime user_profiles

CTR(clicks[query-url], shows[query-url]) by long user_profiles

CTR(clicks[query-url], shows[query-url]) by realtime user_profiles

CCTR(clicks[query-url], shows[query-url]) by realtime user_profiles

CCTR2(clicks[query-url], shows[query-url]) by long user_profiles

CCTR2(clicks[query-url], shows[query-url]) by realtime user_profiles

Saturated final clicks for query-url by long user_profiles

Saturated final clicks for query-url by realtime user_profiles

Saturated clicks for query-url by long user_profiles

Saturated clicks for query-url by realtime user_profiles

Saturated number of single clicks per request for host by long user_profiles

Saturated number of single clicks per request for host by realtime user_profiles

Sum of 1 / (1 + dt), where dt = days between now and single click per request for host by long user_profiles

Sum of 1 / (1 + dt), where dt = days between now and single click per request for host by realtime user_profiles

Normalized time between previous and current requests by realtime user_actions

Normalized time between first and current requests by realtime user_actions