Slice: web_l1

The number of terms by which a document was made up by the number of terms by which the document was fucked up, plus one

The number of terms by which a document divided into the total number of terms was fucked up

Panther relevant, divided into panther relevant plus 256

Panther relevantity divided by the number of terms in the request

Panther relevantity divided by the number of words in the request

Panther relevant, divided by the number of terms by which the document was fucked

Panther relevant, divided by the number of words from the request, according to which the document was fucked

The number of words from the request for which the document

The number of words from the request for which a document divided into the total number of words

DSSM model trained on clicks. Takes bigrams into account. Embeddings for documents are computed offline.

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

Query-MainContentKeywords similarity, target: logDwellTime

Normalized freshness of the document. 1.0 - for just published documents, 0.0 - for documents over 5 days.

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 factor is an analogue of LongQuery (the sum of the IDF words of the request), but with the 'correct' accounting of synonyms. Specifically, a minimum of IDF (i.e. the most frequent) of synonyms and words is selected.

The popularity of the request

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

The average length of the logical session in which there was a request

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 size of the region of the request

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

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

It launches on the basic search under the name ISGEO the maximum weight of the meters of the gelator in the request. A geo-object is understood as an object of the category GEO, Geo1, Geoaddr, Geoaddr1, Landmark, Landmark1 (see ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects kaovsky allocation))))))))))))))))))))))))))))))). wiki.yandex-team.ru/arsengadzhikurbanov/wares Read more))

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

It launches on the basic search under the name ISTEXT the maximum weight of the TEXT or Text1 category of the category of the category met in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#istext more)))

It launches on the basic search under the name Ispicture the maximum weight of the Picture or Picture1 category of the category of the category of the category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ispicture))))))))))))))))))

Returns the maximum degree of household objects in the request under the name Wminone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#minone more)))))

Returns the maximum degree of household objects in the request under the name Wmaxone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#maxone more)))))))

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

question

Expected number of found on request

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

The angle in the Depth Nodes space, counted only by words (min for all)

Prediction of a share of requests with geography on a bag of words built for request

The value of the classifier of localization for request

Porn query classification result from Wizard (iad_vw flag, based on Vowpal Wabbit)

It launches on the basic search under the name ISHUM the maximum weight of the enclosed object of the Hum or Hum1 category in the request. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#ishum more)))))

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

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

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

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

The amount of IDF words by which a document divided into a total IDF was fucked up

Position in the top panther

Position in the top l1

MAX of FI_NORMALIZED_MATCHED_TERM_COUNT