Slice: neural_network_over_dssm_factors

Document from porn kitski

On danny url is a link from inFobox-ov to Wikipedia.

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

On the Porn Advertising 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))

nd/i

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 size of the largest text segment (from the factor [18] puretext)

The presence of a LiveInternet meter

Model with the training of each trigram on '+' and '-' Urlah. It does not depend on the request.

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

Normalized corrected clicks count by query with user's city(gc=) mentioned

The binary factor about the mobile adaptability of the document. It is taken from ERF

A broken built -in video on the page.

the ratio of the total area of ​​all Flash blocks to the screen area

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? .

Long text without links.

This is a muzzle.

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.

Factor about the presence of a symbol '?' In Url. It is zero if the Url has CGI parameters (more precisely: all duplicate have a symbol '?' In Url).

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

The length of the URL with an accuracy to the symbol. Disconnected in production.

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

Logarithm of the number of shingles in the document added by the owner of the site as original texts in ((http://wiki.yandex-team.ru/jandekspoisk/jekosistema/marketingPr/webmasters/plan/vtorcontect of originality plugin)). It does not participate in the formula, it is needed to disconnect the takes

The average weight of non-ugly shingles of this document

The average filtered number of sources of authorship of the document. It does not participate in the formula, it is needed to disconnect the takes

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.

User return on URL

Equal to one if the page connects JS-API of any geo-data supplier

Static URL factor in search sessions in 1600 days. Ordinary CTR.

Static URL factor in search sessions in 1600 days. Average dwelltime, and DwellTime is cut from the session if more than 3600 seconds

Static URL factor in search sessions in 1600 days. Average dwelltime, and DwellTime is cut from the session if more than 180 seconds

Static URL factor in search sessions in 1600 days. The probability that the URL click will be more than 120 seconds

Static URL factor in search sessions in 1600 days. Logarithm of the number of shows.

Static URL factor in search sessions in 1600 days. The probability that URL is clicking if they do not click on at least one URL higher.

Static URL factor in search sessions in 1600 days. The probability that URL is not clicks if they click at least one URL below.

Static URL factor for search sessions for 1600 days calculated on mobile sessions. Average dwelltime, and DwellTime is cut from the session if more than 180 seconds

Static URL factor for search sessions for 1600 days calculated on mobile sessions. The probability that the URL click will be more than 120 seconds

Static URL factor for search sessions for 1600 days calculated on mobile sessions. The probability that URL is not clicks if they click at least one URL below.

Static URL factor in browser logs for the maximum period. The percentage of traffic from social networks in all traffic from other hosts and search.

Static URL factor in browser logs for the maximum period. The average number of direct descendants from the host on which they spent more than 90 seconds. The descendant is straight, only if there is a link from our page to the descendant and crossed it.

Static URL factor in browser logs for the maximum period. The average maximum depth of wood with the root in the current URL is when the URL is visited from other hosts.

Static URL factor in browser logs for the maximum period. The number of times when the feather was transferred to the page to the total number of pages to which they switched from a sickle. The closer to 1, the more often the page was opened the only one in the session.

Static URL factor in browser logs for the maximum period. The average length of search sessions, when they switched to the page from a sickle

Static URL factor in browser logs for the maximum period. The formula for calculating the factor we look at Wiki.

Static URL factor in browser logs for the maximum period. The formula for calculating the factor we look at Wiki.

Static URL factor in browser logs for the maximum period. The probability that the user will spend on the page> 120 seconds.

Static URL factor in browser logs for the maximum period. The number of leaves in URLA support. In this case, the leaves are a page from which there were no transitions.

Static URL factor in browser logs for the maximum period. The average time spent on the page and in all descendants of the page (URLS to which they switched) from the host. Cut off if the total DT is more than 10 minutes

Static URL factor in browser logs for the maximum period. The minimum Unix Time when the page appeared in the logs for the first time.

Static URL factor in browser logs for the maximum period. The difference between the middle and minimum Unix Time when the page appeared in the logs.

Static URL factor in browser logs for the maximum period. Current breadth where the page was viewed from.

Static URL factor in browser logs for the maximum period. Current longitude where the page was viewed from.

Static URL factor in browser logs for the maximum period. The likelihood of leaps from the page

Static URL factor in browser logs for the maximum period. The likelihood of image jumps from the page

Static URL factor in browser logs for the maximum period. The probability of leap torrent file from the page

1 if video on page

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

Varla's attendance according to I-Bara

The number of unique visitors to Urla

The average for users time is the user on the page. It is read as the difference between neighboring transitions.

The degree of variety of requests for which this Urla click

Similar to Yabarurlvisits

The number of sessions in which Url was the last, classified as the sessions in which Url appeared

Similar to Yabarurlvisitors

Similar to Yabarurlavgtime

The average time of the user stay on the host with an external (from another non-search site) entry from a specific URL

Assessment of the probability of leaps from the document

The average 'depth' (the number of transitions within the framework of the host) of the user stay on the host with an external (from another non-playing site) entry from a specific URL

The more users add to bookmarks a url, the more factor value it has

Document language - English

The language of the document is Cyrillic

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

Search traffic - transitions from search engines to the site (2nd formula)

Search traffic - transitions from search engines to the site (2nd formula)

The number of unique visitors, remarks exponentially

The share of traffic from search engines

Entropy - distribution of clicks

Entropy - distribution of shows

Entropy - Distribution of clique/shows.

The share of clicks for navigation requests

This is the SEA factor = s4_r/ (k_r+10) where S4_R is the number of clicks> 180 sec, k_r - the total number of clicks. It is considered taking into account reformalization.

ND/K normalized time to click

The popularity of Owner is in requests

The share of the Urlov that respond without errors

The length of the Depth Nodes petal counted for hosts

Dispersion of the angle in the space of Nodes Time, calculated for hosts

0.9-quarter of the length of the petal in the space of Nodes Time, calculated for hosts

The likelihood of a racing from a host after click (on the logs of the bar).

Weighted mean of log(query_clicks)/log(query_shows) for given host. Weights are proportional to log(query_shows) + 0.2.

1 if host include js from marketgid.com

1 if host include js from rfity.com

1 if host include js from google-analytics.com

1 if host include js from googleapis.com

1 if host include js from facebook.net

Ratio of yellow images in teasers on host

Average teasers area on host

Background is clickable advertisement

Ratio of outgoing advertisement traffic to all traffic (desktop)

Ratio of outgoing real-time bidding traffic to all traffic (desktop)

Attendance from the bar - ((http://wiki.yandex-team.ru/andrejjkostjagin/yabarlog/hoststat data description)). The factor will be remarked.

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

The owner's clickness regardless of the request

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

Average query commerciality

The share of visits for which the time spent during the day on the host is more than 90 seconds

The share of visits for which the time spent during the day on the host is more than 160 seconds

Rank of hacked sites

Rank AGS4

Maximum QSRANK on the owner

Average QSRANK on the main domain

The share of users who returned within a month

The number of users returning within a month

Rank Dorweev

Share of the capital letters in Title

The share of incoming traffic from search engines among all incoming traffic

The share of direct visits among all incoming traffic

Middle QSRank in a sliding window

Minimum QSRANK

Average HOPS

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

AVG aggregation of VisitsFromWiki web factor using random log

PERCENTALE_25 aggregation of NavLinear web factor using random log

PERCENTALE_90 aggregation of Found web factor using random log

AVG aggregation of SubqueryThMatch web factor using random log

AVG aggregation of SegmentWordPortionFromMainContent web factor using random log

AVG aggregation of XfDtShowAllMaxFFieldSet2Bm15FLogK0001 web factor using random log

AVG aggregation of QueryRegionSize web factor using random log

AVG aggregation of IsRelevLocaleUA web factor using random log

PERCENTALE_90 aggregation of QfufAllSumWFSumWFieldSet3BclmWeightedFLogW0K0001 web factor using random log

AVG aggregation of QueryToDocAllSumFCountTextBocm11Norm256 web factor using random log

PERCENTALE_90 aggregation of IsNavMxQuery web factor using random log

AVG aggregation of DBM15Wares2 web factor using random log

PERCENTALE_90 aggregation of UrlNGramsModel web factor using random log

PERCENTALE_90 aggregation of LongClickMobileAllWcmWeightedValue web factor using random log

PERCENTALE_25 aggregation of DssmVkPopularity web factor using random log

AVG aggregation of UBLongPeriodVisitsSNProb web factor using random log

PERCENTALE_90 aggregation of CountryQueryRegionality web factor using random log

PERCENTALE_90 aggregation of TRhitw web factor using random log

PERCENTALE_90 aggregation of UBLongPeriodAvgSearchDuration600 web factor using random log

AVG aggregation of RequestIsFromIOS web factor using random log

PERCENTALE_90 aggregation of DssmQueryEmbeddingCtrNoMinerPca4 web factor using random log

AVG aggregation of XfDtShowAllMaxFFieldSetUTBm15FLogW0 web factor using random log

PERCENTALE_25 aggregation of UrlTrigrams web factor using random log

PERCENTALE_90 aggregation of DssmQueryEmbeddingCtrNoMinerPca1 web factor using random log

AVG aggregation of IsRelevLocaleKZ web factor using random log

PERCENTALE_90 aggregation of TextFeatures web factor using random log

RMSE aggregation of Long web factor using random log

RMSE aggregation of IsOrg web factor using random log

RMSE aggregation of GskUrlModel web factor using random log

RMSE aggregation of DaterStatsAverageSourceSegment web factor using random log

RMSE aggregation of VisitsFromWiki web factor using random log

RMSE aggregation of XfDtShowBagOfWordsTitleCosineMaxMatch web factor using random log

RMSE aggregation of UBLongPeriodDownloadsProb web factor using random log

RMSE aggregation of MetaAvgIsNotCgi meta factor using random log

RMSE aggregation of MetaRmsSynPercentBadWordPairs meta factor using random log

RMSE aggregation of MetaPosTrigramsProb meta factor using random log

PERCENTALE_90 aggregation of Bocm web factor using random log

PERCENTALE_90 aggregation of SegmentWordPortionFromMainContent web factor using random log

PERCENTALE_90 aggregation of IsMobileBeauty web factor using random log

PERCENTALE_90 aggregation of USLongPeriodUrlWinsProb web factor using random log

PERCENTALE_90 aggregation of DssmBoostingXfWeightKMeans5AvgTop02ScoreQE web factor using random log

PERCENTALE_90 aggregation of SDIsNavMxQueryMax meta factor using random log

PERCENTALE_90 aggregation of MetaWeb764Web1076ProductInvAvg meta factor using random log

PERCENTALE_90 aggregation of MetaWeb1099Web1219ProductInvPos meta factor using random log

PERCENTALE_90 aggregation of MetaMaxDssmMiddleVsShortLongHardNoClicks meta factor using random log

MAX aggregation of NumLinksFromMP web factor using random log

MAX aggregation of NavLinear web factor using random log

MAX aggregation of DaterStatsAverageSourceSegment web factor using random log

MAX aggregation of WeightedSumIsIndexPageIsNavMxQuery web factor using random log

MAX aggregation of QueryToDocAllSumFCountTextBocm11Norm256 web factor using random log

MAX aggregation of DssmBigramsQueryDerivativeMax web factor using random log

MAX aggregation of DssmQueryCountryToUrlEstimatedDistance web factor using random log

MAX aggregation of MetaWeb764Web1076ProductInvAvg meta factor using random log

LOGAVG aggregation of TextFeatures web factor using random log

LOGAVG aggregation of DocLen web factor using random log

LOGAVG aggregation of IsHTML web factor using random log

LOGAVG aggregation of HasLevensht1QueryFragment web factor using random log

LOGAVG aggregation of HeadingIdfSumFixed web factor using random log

LOGAVG aggregation of AdvPronounsPortion web factor using random log

LOGAVG aggregation of LongestText web factor using random log

LOGAVG aggregation of CountryHour web factor using random log

LOGAVG aggregation of MetrikaUrlAvgTime web factor using random log

LOGAVG aggregation of WikiLinkCount web factor using random log

LOGAVG aggregation of BrowserUrlDwellTimeRegionFrc web factor using random log

LOGAVG aggregation of WikiInfobox web factor using random log

LOGAVG aggregation of QueryDocTitleRangesMatchingScore web factor using random log

LOGAVG aggregation of IsMobileBeauty web factor using random log

LOGAVG aggregation of QueryToTextAllSumWFSumWBodyMinWindowSize web factor using random log

LOGAVG aggregation of DssmRandomLogQueryAvgDifferentInternalLinks web factor using random log

LOGAVG aggregation of MetaUrlDirectChildrenCnt meta factor using random log

LOGAVG aggregation of MetaWeb1241Web1299ProductInvPos meta factor using random log

LOGAVG aggregation of MetaEpsHashShareNationalLanguage meta factor using random log

The core of the audience of owners according to Yandex.Mrazusing

The core of the audience of the hosts according to Yandex.Mrazusing

The share of suits to the site is not by links (set with hands or from bookmarks)

average for users Active continuous time for user finding (in sec) on host pages

The average for users Active continuous time of the user (in second) on the pages of the host. In the inside of the Yandex. Bara/elements/browser counter

The average for users is the number of active actions (clicks, clicks) with the continuous finding of the user (in second) on the pages of the host.

Implementation of the algorithm described in the article ((http://wiki.yandex-team.ru//h.yandex.net/?http%3A%2F%2FreseRosoft.microsoft.com%2Fen-US%2FPEOPLIULIUUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUULYUUP032-LIUUUU .pdf http://research.microsoft.com/en-us/people/tyliu/fp032-liu.pdf))

Domain in the .ua zone

Domain is not in the .ru zone

Does the host have a host

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)