Tag: TG_REARR_USE

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

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.

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)))).

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'.

Long text without links.

This is a muzzle.

URL High LR.

The popularity of the request

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.

How often they click in this URL for this request - CTR blasting for the correction factor

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.

BM25 according to only in the heading.

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

1 / quantity_lov_v_

The document has no LR.

For this Urla, for this request, there is no information about clickness 1 - request or request -URLA in the click database, 0 - query URL in the clicks database

For this request, there is no information about the clickness of 1 - there is no request in the click database, 0 - the request is in the click database.

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).

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

Simple BM25 in the exact form.

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

Simple BM25 taking into account synonyms.

How often they click in the URLs of this Domainid for this request - Ctr Domainid blasting for the correction factor

What is the share of “good” links

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

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

Document length in sentences

The length of the URL, divided by 5

The commercial request for the dictionary of phrases from Direct: 0 - maximum commercial, 1 - minimal.

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

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 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 the form)

The degree of centralization of the points from which the request is set

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

Binar non -profit request: Querynoncommerciality> 0.965.

the ratio of the number of clicks on this Urlu to all clicks on request

the ratio of the number of clicks on this Domainid to all clicks on request

[Bug: A copy of factor 45] How often they click in this URL for this request - CTR blasting for a correction factor

What part (on average by the session) from the user Urlov’s user, this URL user, who has been completed to it, is this URL. It is considered to be user sessions.

How often do they click in this URL for this request - CTR blasting for the correction factor, by small regions from Relev_regions.web.txt

The ratio of the number of clicks on this Urlu to all clicks on request, by small regions from Relev_regions.web.txt

The ratio of the number of clicks on this Domainid to all clicks on request, by small regions from Relev_regions.web.txt

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

TR of the best passage - how high -quality snippet

URL satisfies forum_detector regularly

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

Geographical proximity

Is the request for navigation, on the clicking of the answers

The most characteristic word of the request corresponding to the site, according to the bar

The average for users Active continuous time of the user is (in second) on the host pages after the transition on request from the search engine (the factor depends on the pair (request, Domattr)).

The average for users Active continuous time of the user is (in second) on the host pages after the transition on request from the search engine (the factor depends on the pair (request, Domattr)). In the inside of the Yandex. Bara/elements/browser counter

The average for users is the number of active actions (clicks, clicks) with the continuous finding of the user on the host pages after the transition on request from the search engine (the factor depends on the pair (request, Domattr)). . In the inside of the Yandex. Bara/elements/browser counter

The number of unique visitors from search engines for a specific request

Request is not in Russian

foreign cluster document

The geographical proximity of the user and the site

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 the 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 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

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

The request mentions the product category. Not used (depreded)

The request mentions a vendor. Not used (depreded)

Geographical distribution of the request

The request is set mainly at night

The request is set mainly in the morning

The request is given mainly in the afternoon

The request is set mainly in the evening

The severity of the querial tasks at different times of the day

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

Document Porn on the text of Leskok, other normalization

Classifier of Porn Causions, another dictionary than Pornoquery

Coating domain three -bouqu and request. (Chelyabinsk lottery - Chelloto. We translate a request to translite, find the three -book that are covered (Che, Hel, Lot, Olo), we look at what share of all three -bouquets are covered)

The same as the previous factor, but about the entire Url except the domain

Request about the video

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 language of the document is Cyrillic

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/K normalized time to click

nd/i

CONTRY / K

w/k

Does the request have a complete syntactic analysis

The document has textual relevance

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

Previous factors - fixed

factor cunningly combined from FRC and Pseudo-CTR

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

Matrixnet is applied to all factors - formula (tg_unized - to prevent the entrance to any formulas)

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 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).

Summer of the number of forms balanced by scales

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

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

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.

= 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 number of Owner shows on request, normalization x/(100 + x).

The number of URL shows on request, normalization x/(100 + x).

They are considered as (80 - x) / 80, where X is the age of the document in the watch. Factors make sense only for the fast -button base (the last 80 hours). Not used in ranking. Used in disconnecting.

They are considered as (80 - x) / 80, where X is the age of the document in the watch. Factors make sense only for the fast -button base (the last 80 hours). Not used in ranking. Used in disconnecting.

The factor about that, a good snippet can turn out.

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

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

The language of the document corresponds to the language language

The popularity of the request within the country

The degree of centralization of the points from which the request is set (inside the country)

Geographical distribution of the request within the country

On the Porn Advertising page

The number of slashes in Url

BM25 with different parameters for different fields, including an incoming anchortekst. The weight of the text of the links included on the page is normalized depending on Delta Page Rank links

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

The service factor that was needed to search the site, and in the future it will still be needed.

The size of the minimum piece of text, including all the words of the request found in the document. Not used now. ((http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/obshayAformula/tekushhiekomponenty/ymw Read more))

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

The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))

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 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

The share of clicks for navigation requests

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

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))

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

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

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 language of the document corresponds to the country's request

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

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

It is known about URL that it is shown too often with very low relevance (according to Bert and/or BM25)

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

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

Maximum amount weight of the words of the request in the window of 50 words

Similar to Yabarurlavgtime

((http://wiki.yandex-team.ru/jandekspoisk/antispam/polunavigacionnyezaprosy#faktornnostiparyurl-zapros Classifier)) pairs of vitalnikov [query Url], Url Vital for the request, if value is valuable for Ф> 0.5

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

Rank 'navigation'

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

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

Neural model of content quality for medical subjects

Neural model of content quality for medical subjects (for ex -)

Neural model of content quality for financial and legal topics

Neural model of content quality for financial and legal topics (for exposures)

Neural model of content quality for SOS topics

Neural model of content quality for SOS subjects (for ex -)

Copy of Old Version No.294 Factor. Added for Use on L3 Stage Only. Coating domain three -bouqu and request. (Chelyabinsk lottery - Chelloto. We translate a request to translite, find the three -book that are covered (Che, Hel, Lot, Olo), we look at what share of all three -bouquets are covered)

Type of canonized Urla Yandex Music - track

Neural document model for finding unexpected tin

Sigmoid rationed the value of a textual classifier of porn according to Toloka Porn

Binarized value of a textual classifier text classifier according to Toloka estimates

The value of the text classifier of porn according to the classifier of the web and add. dictionaries

Binarized with the use of networks, the value of a textual classifier of porn according to the estimates of the web and additional classifier. dictionaries

The presence of obscene vocabulary in the request. 0 - absent, 0.5 - non -seated, 1 - hard

The presence of porn markers in the request (0 - is, 1/3 - no, 1 - request 'gray')

Documentary classifier of porn, features according to the text of the document

Documentary classifier of porn, features on Ural document

Documentary classifier of porn, features according to the pictures of the document (information is taken from the picture index)

Documentary classifier of porn, features by video of the document (information is taken from the video index)

A host classifier of porn, features about the porn of the requests, according to which the host was shown and clung.

Neuron document model for finding unexpected tin (for ex -)

The popularity of the request

The degree of centralization of the points from which the request is set

Geographical distribution of the request

The severity of the querial tasks at different times of the day

The request is set mainly at night

The request is set mainly in the morning

The request is given mainly in the afternoon

The request is set mainly in the evening

The popularity of the request within the country

The degree of centralization of the points from which the request is set (inside the country)

Geographical distribution of the request within the country

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

The commercial request for the dictionary of phrases from Direct: 0 - maximum commercial, 1 - minimal.

The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))

Rank 'navigation'

Binar non -profit request: Querynoncommerciality> 0.965.

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

Classifier of Porn Causions, another dictionary than Pornoquery

Is the request for navigation, on the clicking of the answers

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.

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

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

= 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 - whether the request is matured by the tickt

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

The request mentions the product category. Not used (depreded)

The request mentions a vendor. Not used (depreded)

Prediction of the classifier that the request is a medical

Prediction of the classifier that the request is a legal

Prediction of the classifier that the request is financial

The prediction of the classifier is that the request of SOS topics

The prediction of the classifier that the request is navigation

The prediction of the classifier is that the request is white (that is, it is not worth showing tin on it)

Request contains a word song or track

Musical request from Alice

The prediction of the classifier is that upon request you need to show URL from a mobile market

Prediction of the classifier to especially commercial requests

Classifier of a request for equipment repair services: office, household, computers, phones

Musical request for the script of Arab Alice

In this factor, information about pessimization is put in

A random additive to a faster is placed in this factor

Pessimize, unwanted organization

In this factor, information about Busts is placed

Beating by the presence of tripadvisor urla

Bewilder Tripadvisor Urla in the entertainment section

Bay by rating in Tripadvisor

Buster by the number of reviews in Tripadvisor

Price rating for sorting by price (more expensive)

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'.

The result of the aggregated tin classifier is used on average to determine tin queries

The popularity of the request

The degree of centralization of the points from which the request is set

Geographical distribution of the request

The severity of the querial tasks at different times of the day

The request is set mainly at night

The request is set mainly in the morning

The request is given mainly in the afternoon

The request is set mainly in the evening

The popularity of the request within the country

The degree of centralization of the points from which the request is set (inside the country)

Geographical distribution of the request within the country

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

The commercial request for the dictionary of phrases from Direct: 0 - maximum commercial, 1 - minimal.

The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))

Rank 'navigation'

Binar non -profit request: Querynoncommerciality> 0.965.

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

Classifier of Porn Causions, another dictionary than Pornoquery

Is the request for navigation, on the clicking of the answers

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.

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

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

= 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 - whether the request is matured by the tickt

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

The value of the DP classifier is used to filter on average

The value of the DP classifier is used to filter on average

The result of the aggregated tin classifier is used on average to determine tin queries

The result of the text classifier of porn viapal wabbit

Image porn classifier output

Level of minimal AdultnessBeta values among selected links (0.1 = MinAdultnessBetaAboveFamilyThreshold, 0.3 - MinAdultnessBetaAboveGrayThreshold, 0.5 - MinAdultnessBetaAboveNormalThreshold

The value of the DP classifier is used to filter on average

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'.

The value of the DP classifier is used to filter on average

The result of the aggregated tin classifier is used on average to determine tin queries

The request is set mainly at a certain time of the day. Examples of such requests are GDZ, SMS good night, porn requests.

The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))

Matrixnet is applied to all factors - formula

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

The result of the text classifier of porn viapal wabbit

Plane bclm based on queries from yandex sessions

the CTR of the url given query

Image porn classifier output

Level of minimal AdultnessBeta values among selected links (0.1 = MinAdultnessBetaAboveFamilyThreshold, 0.3 - MinAdultnessBetaAboveGrayThreshold, 0.5 - MinAdultnessBetaAboveNormalThreshold

The value of the DP classifier is used to filter on average

The value of the DP classifier is used to filter on average

The result of the aggregated tin classifier is used on average to determine tin queries

The result of the text classifier of porn viapal wabbit

Image porn classifier output

Level of minimal AdultnessBeta values among selected links (0.1 = MinAdultnessBetaAboveFamilyThreshold, 0.3 - MinAdultnessBetaAboveGrayThreshold, 0.5 - MinAdultnessBetaAboveNormalThreshold

Document from porn kitski

Fast document

Commercial page (Classifier Savina)

URL satisfies forum_detector regularly

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))

nd/i

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

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

The number of slashes in Url

The presence of a built -in video player 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 $))))).

Long text without links.

This is a muzzle.

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).

Page from the blogochosting

Page with Livejournal.com

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 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

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

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

Similar to Yabarurlavgtime

Document language - English

The language of the document is Cyrillic

page from ru.wikipedia.org

The share of clicks for navigation requests

ND/K normalized time to click

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

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

Max cosine similarity between document and user history with clicks dwelltime > 30sec, by realtime user_history

Max cosine similarity between document and user history with clicks dwelltime > 60sec, by realtime user_history

Max cosine similarity between document and user history with clicks dwelltime > 120sec, by realtime user_history

Max cosine similarity between document and user history with clicks dwelltime > 180sec, by realtime user_history

Max cosine similarity between document and user history with clicks dwelltime > 360sec, by realtime user_history

Max cosine similarity between document and user history with clicks dwelltime <= 30sec, by realtime user_history

Max cosine similarity between document and user history with clicks dwelltime <= 60sec, by realtime user_history

Max cosine similarity between document and user history with clicks dwelltime <= 120sec, by realtime user_history

Max cosine similarity between document and user history with clicks dwelltime <= 180sec, by realtime user_history

Max cosine similarity between document and user history with clicks dwelltime <= 360sec, by realtime user_history

Avg by top-5 maximum cosine similarity between document and user history with clicks dwelltime > 30sec, by realtime user_history

Avg by top-5 maximum cosine similarity between document and user history with clicks dwelltime > 60sec, by realtime user_history

Avg by top-5 maximum cosine similarity between document and user history with clicks dwelltime > 120sec, by realtime user_history

Avg by top-5 maximum cosine similarity between document and user history with clicks dwelltime > 180sec, by realtime user_history

Avg by top-5 maximum cosine similarity between document and user history with clicks dwelltime > 360sec, by realtime user_history

Avg by top-10 maximum cosine similarity between document and user history with clicks dwelltime > 30sec, by realtime user_history

Avg by top-10 maximum cosine similarity between document and user history with clicks dwelltime > 60sec, by realtime user_history

Avg by top-10 maximum cosine similarity between document and user history with clicks dwelltime > 120sec, by realtime user_history

Avg by top-10 maximum cosine similarity between document and user history with clicks dwelltime > 180sec, by realtime user_history

Avg by top-10 maximum cosine similarity between document and user history with clicks dwelltime > 360sec, by realtime user_history

Avg by top-15 maximum cosine similarity between document and user history with clicks dwelltime > 30sec, by realtime user_history

Avg by top-15 maximum cosine similarity between document and user history with clicks dwelltime > 60sec, by realtime user_history

Avg by top-15 maximum cosine similarity between document and user history with clicks dwelltime > 120sec, by realtime user_history

Avg by top-15 maximum cosine similarity between document and user history with clicks dwelltime > 180sec, by realtime user_history

Avg by top-15 maximum cosine similarity between document and user history with clicks dwelltime > 360sec, by realtime user_history

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

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).

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

Porn request.

The duration of the video. It is also used in the ranking of ether.

The probable duration of the request is not less than 72 minutes, the request is not a serial and the intent Waresfilm corrects Setupids.

Link rank the best link. Takes into account thesaurus extensions.

The coincidence of the ONTOID document and the object specified in the request, and a sufficiently duration of the roller for this object.

The permissible coefficient of the Bust of the document for the coincidence of the Ontoid document and the request of the type HUM, Food, Auto, Music, etc.

The video is located on a trusted hosting, authorized content (for example, legal online cinema).

Logdwelltime by the VEB model DSSM, trained in reformulations. It is also used in the ranking of ether.

Doc is quite good to be boosted

Is the SVOD document suitable by the date of the license and the request (the same film, series series episode).

Is the AVOD document suitable by the date of the license and to the request (that film, etc.).

Svod document, the date of the license is suitable ..

AVOD document, the date of the license is suitable.

Coincidence of the name of the serial object in the request and document.

Season of a serial object.

Serial object series.

The coincidence of a series of a serial object in a request and a document.

The coincidence of the season of the serial object in the request and document.

Request about the film, the series, etc.

The factor about the proximity of the request and text of the document. It differs from BCLM in that the weights of all words are considered the same. It is also used in the ranking of ether.

BOCM for gluing Links, calculated only on the first sentences with hits and all forms of entering are considered equivalent.

Is the request a wide film? For example, the 'Best Comedies of 2013' and 'Watch Online Films about Love' are wide film queries.

The average depth of player views of the video for the host. Aggregaled through all the urlahs of the host, according to which there are player logs.

Coating trigrams of Title trigrams. It is also used in the ranking of ether.

The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.

The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.

The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.

The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.

The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.

The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.

Cloud additive

A document that we consider porn with a filed filter

The video has a trailer duration

A linearly normalized number of Ural shows on request with marker normalization.

The average value of the Duration factor is average.

Porn request from manual list

The flag is Lee Host Yandex.Chosting.

Logdwelltime by the VEB model DSSM. It is also used in the ranking of ether.

DSSM with PlayerDepth Target on the deep click pool video. It is also used in the ranking of ether.

Not a suitable series (another series, season or series).

It characterizes the request for the degree of change from the addition of a fixed word ('online' for Kirilitsa), the DSSM model DSSMBOOSTINGXFONESEAMSHARD is used. It is also used in the ranking of ether.

Predict formula for the relevance of a fresh document.

A document that we consider porn with a filed filter

It costs 1 when the request for several tags and the document has already got into the tag

Median breaks between messages for some most active interval

Document from porn kitski

Document from porn kitski

Fast document

Fast document

Commercial page (Classifier Savina)

Commercial page (Classifier Savina)

URL satisfies forum_detector regularly

URL satisfies forum_detector regularly

On the Porn Advertising page

On the Porn Advertising page

The poetry of the document

The poetry of the document

The maximum poetry of the quatrain

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))

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

nd/i

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

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

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

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

The number of slashes in Url

The number of slashes in Url

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

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

On the site there is an advertisement for Yandex.

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.

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

page from ru.wikipedia.org

page from ru.wikipedia.org

The share of clicks for navigation requests

The share of clicks for navigation requests

ND/K normalized time to click

ND/K normalized time to click

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

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

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 $))))).

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

Long text without links.

This is a muzzle.

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).

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

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

Document language - English

The language of the document is Cyrillic

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

Similar to Yabarurlavgtime

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 $))))).

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

Long text without links.

This is a muzzle.

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).

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

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

Document language - English

The language of the document is Cyrillic

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

Similar to Yabarurlavgtime

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

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

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

It is considered as (80-x) where X is the return of the document in the clock (continuously). Uses the data of the Robotaddtime dates

It is considered as (10-x) where X is the return of the document in days (continuously). Uses the data of the Robotaddtime dates

It is considered as (3-x) where X is the return of the document in years (continuously). Uses the data of the Robotaddtime dates

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

1 / quantity_lov_v_

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'.

The popularity of the request

The degree of centralization of the points from which the request is set

The popularity of the request within the country

The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))

Rank 'navigation'

Request about the video

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

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

question

The degree of centralization of the points from which the request is set (inside the country)

Meta:Nonzero metafactor on web_itditp:AddTimeMP(542)

SD:DFT_SUM_WF_NORM_SUM_W metafactor on web_itditp:Hops(382)

Meta: nonzero metafactor on web_itditp: yabarurlavgtime (394)

Avg metafactor on TRp1(4)

Avg metafactor on News(11)

Avg metafactor on AddTime(41)

Max Metafactor On OwnerNavquota (506)

Rms metafactor on TRp1(4)

Rms metafactor on AddTime(41)

Rms metafactor on QueryDOwnerClicksPCTR(77)

set feature to 1 when url owner in &rearr/scheme_Local/SetBoostOwners/Owners=‘host1.ru,host2.ru’

Max metafactor on QueryURLClicksPCTR(max 45)

Rmse metafactor on Production:UrlQueryVariety(261)

Nonzero metafactor on Production:DaterAge(380)

Avg metafactor on Production:LongestText(410)

Fract metafactor on Production:QUrlStatPower(433)

DFT_SUM_WF_NORM_SUM_W metafactor on Production:HasNoQueryURLShows(63)

Meta:Resid metafactor on web_production:DocLen(110)

Meta:Resid metafactor on web_production:SynFLremap1(335)

From reseved_owner namespace in SaaS-KV

From reseved_url namespace in SaaS-KV

From reseved_owner namespace in SaaS-KV for fast reaction

From reseved_url namespace in SaaS-KV for fast reaction

The popularity of the request

The degree of centralization of the points from which the request is set

Geographical distribution of the request

The severity of the querial tasks at different times of the day

The request is set mainly at night

The request is set mainly in the morning

The request is given mainly in the afternoon

The request is set mainly in the evening

The popularity of the request within the country

The degree of centralization of the points from which the request is set (inside the country)

Geographical distribution of the request within the country

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

The commercial request for the dictionary of phrases from Direct: 0 - maximum commercial, 1 - minimal.

The measure of 'commercial' request. It is a comprehensively calculated Matrixnet factor formula for the procurement vocabulary in direct + for user queries + add. Intensive dictionaries. Requests with intensity to buy a factor seeks to -> 1 commodity requests -> 0.6 with intensity cannot buy, reviews, etc. -> 0 ((http://wiki.yandex-team.ru/Faktorydljanovogokatorazaprosov Factors of the Classifier))) (HTTP : //wiki.yandex-team.ru/jandekspoisk/antispam/antiseo/klassifikATORCHESSKIXZAPROSOV STUNITURE OF HIM))

Rank 'navigation'

Binar non -profit request: Querynoncommerciality> 0.965.

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

Classifier of Porn Causions, another dictionary than Pornoquery

Is the request for navigation, on the clicking of the answers

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.

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

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

= 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 - whether the request is matured by the tickt

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