Tag: TG_RIGHT_DOC

Document from porn kitski

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

A document from a commercial clay. Not used (depreded)

Fast document

The page title contains commercial vocabulary. Not used (depreded)

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.

On the page there is 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 342 200 223 The number of bad couples in the text, and X 342 200 223 number ((http: //wiki.yandex- Team.ru/evgenijjjgrechnikov/testSynonimizers 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: 'Hummingbird ' - an example of an indefinite kind that can be determined in two ways, 'Alexander ' - homonymy).

The popularity of the video roller comes from the video

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

Page 342 200 224 Shop. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/opisanijafaktorov#SSHOP Description)). Not used (depreded)

Urlngramsmodel ranking factor in ERF

The degree of commerce page title. Not used (depreded)

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

There is advertising on the site.

On the site there is an advertisement for Yandex.

The Classifier of Spam for Picks from Antispam recognized the site not (!) Spam. Those. 0 = spam, 1 = good.

page from ru.wikipedia.org

Antispamers pessimized the site - all dynamic linseed factors are reset. Zerolnk.flt

The share of incoming corrupt links. The algorithm for recognition of commercial links is implemented. The factor will be remarked to [0.1] if the share of such links is 50%, otherwise 0. ((http://wiki.yandex-team.ru/svetlanashorina/topseolinks selection of wound sites))))))

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.

Domna in Zone .com

ND/K normalized time to click

The popularity of Owner 'And in the 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 average sung of inclination in the plane of the top

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.

The degree of variety of requests for which this Urla click is read by regions

nd/i

Regional attendance of Urla according to the I-Bara

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

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

The number of chains on request / (the number of chains in which URL + the number of chains on request participated).

The number of chains in which Url was the last normalized for the total number of chains in which this URL was.

Number of transitions to URL from Wikipedia

The page indicator is like a hub (how many pages are the bar users pass from it).

Static URL factor in search sessions in 1600 days. Ordinary CTR. Localization to the level of countries.

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

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

Static URL factor in search sessions in 1600 days. The average position of the URL for all requests. Localization to the level of countries.

Static URL factor in search sessions in 1600 days. Logarithm of the number of shows. Localization to the level of countries.

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 3600 seconds. Localization to the level of countries.

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. Localization to the level of countries.

Static URL factor in browser logs for the maximum period. The formula for calculating the factor we look at Wiki. Localization to the level of countries.

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. Localization to the level of countries.

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 if the total DT is more than 10 minutes. Localization to the level of countries.

The average position of Urla for all requests

Number of requests for URL

The attitude of Dwell Time on the page in this region to Dwell Time on a page in all regions

It reads in the same way as the Hostrank factor, but not on all the Owner graph, but on its subrack, consisting of Owner 'OV of this region. Belonging to the region is determined by TLD, or by the presence of pages in the index from this Owner 'A, about which Geo or Geoa, the 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 owner's clickness regardless of the request, separately in the regions

Entropy is the distribution of clicks. Regionalized

Entropy is the distribution of shows. Regionalized

Entropy - distribution of clique/shows. Regionalized

ND/K normalized time to click

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. Localized version

Middle Logarithm of the user on the host with localization in the country; It is considered according to Yabar logs

Classifier of the commerciality of the site

The average position of the host for all requests

Number of requests for 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)) by large regions (tube)

The attitude of Dwell Time on a host in this region to Dwell Time on a host in all regions

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 proposal store (determined by the characteristic ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayafformula/tekushichiekomponenty/klassificacionnye?v=tkd#h45859-4 Patterns in Url '))))))))). Not used (depreded)

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).

Long text without links.

This is a muzzle.

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

Text quality (classifier Alekseev)

Document length in sentences

The length of the URL 'A, divided by 5

Document type - HTML

The page is unattainable by the links from the muzzle.

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

Commercial page by keywords. Not used (depreded)

equals 2 * NastyContent

equals 2 * NastyContent

always zero

Document language - English

The language of the document is Cyrillic

There are no numbers in Urla

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

Page 342 200 224 '404 ' (share of tokens '404 ' in relation to the total number of tokens on the page)

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

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

Number 'Nebukv ' in Url

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

Habi page

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.

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 core of the page of the pages on which there is a metric counter

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

Average 'depth ' (the number of transitions within the host) of the user stay on the host with an external (from another non-search site) entry from a particular URL

Assessment of the probability of leaps from the document

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 document has a direct link to the file

The document has a link to filehosting

The document contains user review/comment

The time of creating a document with an accuracy of up to a month 1.0 is the current month, 0 342 200 224- 10 years ago and older. Temporarily disconnected

The time for updating the document with an accuracy of up to a month 1.0 is the current month, 0 342 200 224- 10 years ago and older. Temporarily disconnected

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

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

Content ugliness factor.

User return on URL

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

The 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).

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 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

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

Automatic classifier spam named after Alekseeva, the likelihood that the website spam (0 is not spam, 1- spam)

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

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

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)

The content of content is not used. 'Good ' host (from 0 to 1), calculated on the basis of how many and what kind of hosts the content is borrowed from this.

The content of content is not used. 'Poorness ' host (from 0 to 1) 342 200 223 is proportional to the number of secondary content on the host. 'Poorness ' host (from 0 to 1) 342 200 223 is proportional to the number of secondary content on the host.

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

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

Rank of the quality of texts on the host. The higher 342 200 224 the greater the likelihood that the host is full of articles - a rewriting, a bad copy of the content ordered on the exchanges of content. Burning stronger as the before the aggregation.

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

PERCENTALE_90 aggregation of DssmBoostingCtrQuerySelfSimilarity web factor using random log

AVG aggregation of QueryToDocAllSumFCountTextBocm11Norm256 web factor using random log. NOTE: QueryToDocAllSumFCountTextBocm11Norm256 has been removed.

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_25 aggregation of DssmBoostingCtrKMeans1ScoreScaledSumWeightedQE 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

Rating of news agency from agencies.json (Yandex.News resource)

1 if host include js from marketgid.com

1 if host include js from rfity.com

1 if host include js from facebook.net