Slice: images_l1

relevance / (relevance + 256.0)

count of the terms matched in Panther

The median value of the Visual Quality classifier among Links

The maximum value of the Visual Quality classifier among Links

Number of different queries by which the document was clicked. Duplicate of FI_DOC_QUERY_VARIETY for mrindex, reason - design requirements.

Neural net homework classifier result

Neural net OCR text classifier result

The porn of the picture calculated according to the porn N-grams in urlax with this picture

The proximity of the request to the interiors Classm based on T2T DSSM

The proximity of the request to the Erotic Claus based on T2T DSSM

The median value of the static classifier Utiley pictures among Links

The maximum value of the static classifier of the Utiley pictures among Links

The proximity of the request to the Clauster [interesting vector drawings] based on T2T DSSM

Neural net binary porn classifier result

Median value of the Visual Quality V2 classifier among Links

The proximity of the request to [Cassi Maner] (probably a generalized female name) based on i2T dSSM

BLACES Naproese KlamaCter districts of the country of domestic and Mir Said Ali Khamadoni Bobuy] on the Osney I2T DSSM

The proximity of the request to the cluster of TV shows based on i2t dssm

Among the brackets there is a name

Number of destination hosts

Average value of HGRS

Picture pse clicks / (pse clicks + 100)

Clicks on image with text for query

Average probability of OK judgment on all urls for query in toloka cleaning top queries (dopp)

Boost in size

Probability of photo image in doc

Probability of object image in doc

Probability of gray image in doc

Average value of FirstColorWeight2

Average value of SumGoodColorSquare

Word weight from TRIterator->GetHitInfo() for first word

Word weight from TRIterator->GetHitInfo() for second word

Word weight from TRIterator->GetHitInfo() for third word

Max word weight from TRIterator->GetHitInfo() for all words

Min word weight from TRIterator->GetHitInfo() for all words

Word count in panther request (wordCount / (wordCount + 1.0))

(matchedWordCount + 1.0) / (wordCount + 1.0)

Query-to-doc click similarity factor (query-side)

Binary flag specifying if document is commercial

Binary flag specifying if document has money source direct

Binary flag specifying if document has money source CPC

Query commerce classifier vcomm

Relevance of the image based on dl features Version 11

(matchedWordWeight + 1.0) / (allWordWeight + 1.0)

Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector

Widespread request 1 category versus 2.3

Widespread request 1.2 Category versus 3

Relevance of the image based on dl features Version 10

Relevance of the image based on DSSM query + features of selected links

DSSM Boosting calculated using Ann2Ann v.1 vectors

Distance to average of top 5 annotations based on Ann2Ann v.1

The average DifferentinTernallinks for the year for the year.

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

Sigmoid of maximum image area among actually selected links

Sigmoid of meadian image area among actually selected links

L1 top position

Neural net good quality classifier

Sigmoid of 85th percentile of image area in document (corresponds to metric, details in https://wiki.yandex-team.ru/users/nerevar/imganalytics/imgscoringoffline/)

Neural net collage classifier result

Share of duplicates on hosts with share of images with watermarks > 0.2 based on toloka

The average value is DifferentinTernallinks for the year. It is calculated in offline.

Normalized word count on image.

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'.

Relev_locale == ru

Similarity of doc and query expansions (image to text)

Relevance of the image based on dssm query extensions + features of selected links

Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector from Qfuf lb extensions

Request from the list of Nursericulus requests

Fi_Image_Click_SIM_QS factor is calculated on request + user region (or country)

The proximity of the request to [Nature of the world photo] based on i2t dssm

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

The main components of the requesting Embling from the DSSMCTRNOMINER model

The average Hasnoallwordstersy value for the year. It is calculated in offline.

Query is type of mobile platform - 1. Desktop - 0

Median of number of faces in docs

Query Has Photo Marker (photo, Photo, Foto, etc.)

The proximity of the cluster request [Barukov’s food with impregnation] based on i2t dssm

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

The proximity of the request to the Clauster [Chukraev Yuri village Bulanash] based on i2t DSSM

The proximity of the request to the cluster of haircuts based on T2T DSSM

The proximity of the query cluster based on T2T DSSM

The proximity of the Clauster of T2T DSSM -based clicter

Request is not in Russian

Request about the video

Shows if query is specific for images according to quotient of web and images pure frequencies

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

relev_locale == kz

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

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

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

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)))))

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

Wares geo feature

Wares soft feature

Wares intent feature

CL_BAD_UTILITY neural net classifier result

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

Neural net binary classifier result (0.5-erotic, 1 - porn)

Neural net clothes classifier result

Maximum age of images

Neural net right clickable classifier result

Median of destination size ratio

Human neural net classifier result

The median value of the classifier of the aesthetics of pictures among Links

The value of the aesthetics classifier of the pictures among links is as much as possible

Relev_locale == ua

The proximity of the document to the request about the actors based on i2T dSSM

The proximity of the document to the request about actresses based on i2t dssm

The proximity of the document to the drawings based on i2t dssm

The proximity of the document to the I2T DSSM -based painting

The proximity of the document to the request about posters and posters based on i2T dSSM

The proximity of the document to the request about Toma based on i2t dSSM

The proximity of the document to the request about stencils and coloring based on i2T dSSM

For each word offline, the average Hasnotr meaning is calculated for 3 months. Further, in all words of the request, the maximum of this value is taken.

Summary of the Skorov words of the request by the Web-Mt language model.

The presence in the lemmetized request of the word not and similar in meaning

The main components of the requesting Embling from the DSSMCTRNOMINER model

The main components of the requesting Embling from the DSSMCTRNOMINER model

The main components of the requesting Embling from the DSSMCTRNOMINER model

The average value of Regbrowseruserhub for the year for a year predicted using a neural network.

The Malue Network DwellTime-AMI predicted using the neural network is the value of Urldomainfraction for the year.

The average Textlike is predicted using a neural network for the year.

Characterizes the request for the degree of change from the addition of a fixed word (number of some year), DSSM model DSSMBOOSTINGXFONESEAMSARD is used

The average ISFORUM is predicted using a neural network for the year.

ADDTIME ADDTIME is predicted using a neural network for a year.

For each word offline, the average DBM40 value is calculated for 3 months. Further, for all non -feet, the words of the request are taken as a maximum of this value.

The average ISindEXPAGE is predicted using a neural network for the year.

Query-to-doc click similarity factor (query-side), with query vector initialized as bag-of-words vector, min ann weight

Max weight of a word from click similarity query vector which is not found in CS document vector

Max weight of a word from click similarity qfuf query vector which is not found in CS document vector

The average number of viewed pages on request / (average number of pages + 100)

Picture hops / (hops + 100)

Relevance of the image based on dl features Version 10

(images age over request) / (iamges age over request + 1440). Used only in fresh search

Maximum age of pages from web page date predictor. Used only in fresh search

Maximum age of pages based on crawl time from request. Used only in fresh search