Tag: TG_DATE

(92 ranking factors)

Factors
AddTime web_production: 41 Weight: 0.006691168756865 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. TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE
AddTimeMP web_production: 43 The time for adding the main page of the owner (host?) Will be remaped like Addtime. TG_DATE, TG_HOST, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE
LinkSpeed web_production: 115 Weight: 0.009455905387837 The number of reverse dispersion times of the appearance of links with the words of the request TG_DATE, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED
IsObsolete web_production: 198 The URL has an ancient date. Ancient news are recognized. Factor 1 if there is a year in Url <= 2007. TG_DATE, TG_DOC, TG_STATIC, TG_URL_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE
PageDate web_production: 345 Weight: -0.034716206980983 The date of the document that is registered on the page is remarkable TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE
DaterAge web_production: 380 Weight: -0.207437366708906 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. TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE
FirstValidTs10Days web_production: 442 It is considered as (10-x) where X is the return of the document in days (continuously) regarding the validity time of the document in Samovar TG_DATE, TG_DOC, TG_STATIC, TG_FRESHNESS_USE, TG_L2, TG_NN_OVER_FEATURES_USE
Timestamp web_production: 450 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. TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_FRESHNESS_USE, TG_UNUSED
AddTimeFull web_production: 451 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. TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_FRESHNESS_USE, TG_UNUSED
DocCreateMonth web_production: 705 The time of creating a document with an accuracy of 1.0 is the current month, 0- 10 years ago and older. Temporarily disconnected TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_DEPRECATED, TG_UNDOCUMENTED, TG_L2
DocUpdateMonth web_production: 706 The time for updating the document with an accuracy of 1.0 is the current month, 0- 10 years ago and older. Temporarily disconnected TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_DEPRECATED, TG_UNDOCUMENTED, TG_L2
DaterStatsYearNormLikelihood web_production: 709 The function of the credibility of the distribution of years in the document. Temporarily disconnected TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE
DaterStatsAverageSourceSegment web_production: 712 The arithmetic mean position of dates in the document. Temporarily disconnected TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE
RandomLogQueryAvgAddTime web_production: 1433 ADDTIME average value for the year. It is calculated in offline. TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_L2, TG_DATE, TG_RANDOM_LOG, TG_DEPRECATED
DssmRandomLogQueryAvgAddTime web_production: 1544 ADDTIME ADDTIME is predicted using a neural network for a year. TG_NEURAL, TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_L2, TG_DATE, TG_RANDOM_LOG, TG_USERFEAT, TG_USERFEAT_365D, TG_DEPRECATED
DaterAddTime80Hours web_production: 1861 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 TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_FRESHNESS_USE, TG_L2, TG_NN_OVER_FEATURES_USE
DaterAddTime10Days web_production: 1862 It is considered as (10-x) where X is the return of the document in days (continuously). Uses the data of the Robotaddtime dates TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_FRESHNESS_USE, TG_L2, TG_UNIMPLEMENTED
DaterAge10Days web_production: 1863 The difference between the current date and the date of the document, determined by the Robotaddtime, 1 - the date is equal to the current, 0 - the document of 10 days or more, or the date is not determined TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_FRESHNESS_USE, TG_L2, TG_UNIMPLEMENTED
WeekdayQueryProbability web_production: 1894 Weekday query probability TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_DATE, TG_NN_OVER_FEATURES_USE, TG_DEPRECATED
RandomLogQueryAvgAddTime begemot_query_factors: 87 ADDTIME average value for the year. It is calculated in offline. TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_L2, TG_DATE, TG_RANDOM_LOG, TG_NN_OVER_FEATURES_USE
DssmRandomLogQueryAvgAddTime begemot_query_factors: 124 ADDTIME ADDTIME is predicted using a neural network for a year. TG_NEURAL, TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_L2, TG_DATE, TG_RANDOM_LOG, TG_USERFEAT_365D, TG_NN_OVER_FEATURES_USE
FreshReportGlobalNearestTimeAfterFinish begemot_query_factors: 201 Time has passed after a sporting event in the request TG_DATE, TG_DYNAMIC, TG_QUERY_ONLY, TG_L2, TG_NN_OVER_FEATURES_USE, TG_DEPRECATED
FreshReportGlobalNearestTimeBeforeStart begemot_query_factors: 202 Time remaining before the sporting event from the request TG_DATE, TG_DYNAMIC, TG_QUERY_ONLY, TG_L2, TG_NN_OVER_FEATURES_USE, TG_DEPRECATED
FreshReportPairwiseNearestTimeAfterFinish begemot_query_factors: 203 Time has passed after a sports event between several teams TG_DATE, TG_DYNAMIC, TG_QUERY_ONLY, TG_L2, TG_NN_OVER_FEATURES_USE, TG_DEPRECATED
FreshReportPairwiseNearestTimeBeforeStart begemot_query_factors: 204 Time remaining before a sports event between several teams TG_UNIMPLEMENTED, TG_UNUSED, TG_DATE, TG_DYNAMIC, TG_QUERY_ONLY, TG_L2, TG_DEPRECATED
FreshDaysBeforeQuery begemot_query_factors: 205 The difference between the current date, and the date in the request (1 - request about today's date, 0 - about the date 10 days ago and younger) TG_DATE, TG_DYNAMIC, TG_QUERY_ONLY, TG_L2, TG_NN_OVER_FEATURES_USE
FreshDaysAfterQuery begemot_query_factors: 206 The difference between the current date, and the date in the request (1 - a request for today's date, 0 - about the date after 10 days and older) TG_UNIMPLEMENTED, TG_DATE, TG_UNUSED, TG_DYNAMIC, TG_QUERY_ONLY, TG_L2
FreshDatePresentedInQuery begemot_query_factors: 207 There is one date in the request TG_DATE, TG_DYNAMIC, TG_QUERY_ONLY, TG_L2, TG_NN_OVER_FEATURES_USE
WeekDayQueryProbability begemot_query_factors: 208 Weekday query probability TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_DATE, TG_NN_OVER_FEATURES_USE
DocHasWorkingHours geo_experiment: 0 Is there any information about the organization’s time TG_DOC, TG_DATE, TG_BINARY
DocTimeToClose geo_experiment: 1 Time to the nearest closure of the organization. Linearly normalized up to 3 hours. TG_DOC, TG_DATE
DocTimeToOpen geo_experiment: 2 Time to the nearest opening of the organization. Linearly normalized from 3 hours (= 0). 1 if it works right now. TG_DOC, TG_DATE
RubricTimePopularity geo_recommendations: 0 The popularity of the heading depending on the time TG_DOC, TG_DATE, TG_DYNAMIC
DayTimeIsHoliday geo_recommendations: 1 Morning/day/evening/night X day off or working day TG_DATE
CollectionRubricTimePopularity geo_collections: 0 The popularity of the aggregated column of the collection at the time when the request was set TG_DOC, TG_DATE
CollectionRandom geo_collections: 4 Random number for random ranking TG_DOC, TG_DATE
CollectionCreationTimestamp geo_collections: 5 The date of creation of the collection TG_DOC, TG_DATE
DssmRandomLogQueryAvgAddTime images_l1: 141 ADDTIME ADDTIME is predicted using a neural network for a year. TG_NEURAL, TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_L2, TG_DATE
RealImagesMaxAgeFromRequestFull images_l1: 150 (images age over request) / (iamges age over request + 1440). Used only in fresh search TG_DYNAMIC, TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
MaxRobotAgeFromRequest images_l1: 151 Maximum age of pages from web page date predictor. Used only in fresh search TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
PagesMaxCrawlAgeFromRequest images_l1: 152 Maximum age of pages based on crawl time from request. Used only in fresh search TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL, TG_FRESHNESS_ZERO
RandomLogQueryAvgAddTime images_new_l1: 87 ADDTIME average value for the year. It is calculated in offline. TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_L2, TG_DATE
DssmRandomLogQueryAvgAddTime images_new_l1: 124 ADDTIME ADDTIME is predicted using a neural network for a year. TG_NEURAL, TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_L2, TG_DATE
MaxRobotAgeFromRequest images_nn_over_dssm_doc_features: 189 Maximum age of pages from web page date predictor. Used only in fresh search TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
PagesMaxCrawlAgeFromRequest images_nn_over_dssm_doc_features: 192 Maximum age of pages based on crawl time from request. Used only in fresh search TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL, TG_FRESHNESS_ZERO
RealImagesMaxAgeFromRequestFull images_nn_over_dssm_doc_features: 202 (images age over request) / (iamges age over request + 1440). Used only in fresh search TG_DYNAMIC, TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
PagesMaxAgeFromRequest images_production: 531 Maximum age of pages in minuties over request timestamp. Used only in fresh search TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
PagesMaxAgeFromRequestFull images_production: 532 (pages age over request) / (pages age over request + 1440). Used only in fresh search TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
RealImagesMaxAgeFromRequest images_production: 533 Maximum age of images from crcdb in minuties over request timestamp. Used only in fresh search TG_DYNAMIC, TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
RealImagesMaxAgeFromRequestFull images_production: 534 (images age over request) / (iamges age over request + 1440). Used only in fresh search TG_DYNAMIC, TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
DssmRandomLogQueryAvgAddTime images_production: 624 ADDTIME ADDTIME is predicted using a neural network for a year. TG_NEURAL, TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_L2, TG_DATE, TG_FRESHNESS_FROZEN_POOL
MinRobotAgeFromRequest images_production: 661 Minimum age of pages from web page date predictor. Used only in fresh search TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
MaxRobotAgeFromRequest images_production: 662 Maximum age of pages from web page date predictor. Used only in fresh search TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
MeanRobotAgeFromRequest images_production: 663 Weighted average age of pages from web page date predictor (confidences are used as weights). Used only in fresh search TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
ImagesMaxCrawlAgeFromRequest images_production: 664 Maximum age of images based on crawl time from request. Used only in fresh search TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL, TG_FRESHNESS_ZERO
PagesMaxCrawlAgeFromRequest images_production: 665 Maximum age of pages based on crawl time from request. Used only in fresh search TG_DOC, TG_DATE, TG_L2, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL, TG_FRESHNESS_ZERO
PagesMaxAgeFromRequestMinMeta images_production: 697 Maximum age of pages in minuties over request timestamp - top nonzero min. Used only in fresh search TG_DOC, TG_DATE, TG_L3, TG_META, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
MaxRobotAgeFromRequestP15Meta images_production: 698 Maximum age of pages from web page date predictor - top percentil 15. Used only in fresh search TG_DOC, TG_DATE, TG_L3, TG_META, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
MaxRobotAgeFromRequestMedMeta images_production: 699 Maximum age of pages from web page date predictor - top median. Used only in fresh search TG_DOC, TG_DATE, TG_L3, TG_META, TG_FRESHNESS_USE, TG_FRESHNESS_FROZEN_POOL
ImagesMaxAgeAvgMeta images_production: 700 Maximum age of images - top avg TG_DOC, TG_DATE, TG_L3, TG_META, TG_FRESHNESS_FROZEN_POOL
AddTime neural_network_over_dssm_factors: 67 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. TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2
DaterStatsYearNormLikelihood neural_network_over_dssm_factors: 140 The function of the credibility of the distribution of years in the document. Temporarily disconnected TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2
DaterStatsAverageSourceSegment neural_network_over_dssm_factors: 141 The arithmetic mean position of dates in the document. Temporarily disconnected TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2
AddTimeMP neural_network_over_dssm_factors: 181 The time for adding the main page of the owner (host?) Will be remaped like Addtime. TG_DATE, TG_HOST, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2
NewsTime video_production: 44 Characterizes the age of the document in the context of the last 7 days. Documents over 7 days will have a zero factor. TG_DOC, TG_DATE, TG_STATIC
DocAgeInDays video_production: 191 The age of the canonical page of the video from the date of building the base (with an accuracy of days, the maximum period is 10 years). TG_DOC, TG_DATE, TG_STATIC
QSubjectUrlDateDiff video_production: 279 The number of days between the date of the document and the date specified in the request. The difference is not taken into account more than a week. Read more: https://wiki.yandex-team.ru/video/videopoisk/quality/detailedFactorsdescription TG_DYNAMIC, TG_DOC, TG_DATE, TG_L2
MetaDocAgeInDays video_production: 389 The average value of the Docageindays factor is average. TG_META, TG_L3, TG_DYNAMIC, TG_DATE
RandomLogQueryAvgAddTime video_production: 624 ADDTIME average value for the year. It is calculated in offline. TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_DATE
DssmRandomLogQueryAvgAddTime video_production: 654 ADDTIME ADDTIME is predicted using a neural network for a year. TG_NEURAL, TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_DATE
SrcBigViews video_related: 12 The number of views of the video on the hosting (stat. Remap). TG_DOC, TG_DATE, TG_STATIC, TG_RELATED
SrcDocDateDiff video_related: 14 The difference between the date of documents. TG_DOC, TG_DATE, TG_STATIC, TG_RELATED
LeftAddTime web_itditp: 285 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. TG_NOT_01, TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_LEFT_DOC, TG_L3, TG_NN_OVER_FEATURES_USE
LeftDocCreateMonth web_itditp: 336 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 TG_NOT_01, TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_DEPRECATED, TG_UNDOCUMENTED, TG_LEFT_DOC, TG_L2, TG_L3
LeftDocUpdateMonth web_itditp: 337 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 TG_NOT_01, TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_DEPRECATED, TG_UNDOCUMENTED, TG_LEFT_DOC, TG_L2, TG_L3
LeftDaterStatsYearNormLikelihood web_itditp: 338 The function of the credibility of the distribution of years in the document. Temporarily disconnected TG_NOT_01, TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_LEFT_DOC, TG_L3
LeftDaterStatsAverageSourceSegment web_itditp: 339 The arithmetic mean position of dates in the document. Temporarily disconnected TG_NOT_01, TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_LEFT_DOC, TG_L3
AddTime web_itditp: 380 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. TG_NOT_01, TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_RIGHT_DOC, TG_L3, TG_NN_OVER_FEATURES_USE
DocCreateMonth web_itditp: 431 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 TG_NOT_01, TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_DEPRECATED, TG_UNDOCUMENTED, TG_RIGHT_DOC, TG_L2, TG_L3
DocUpdateMonth web_itditp: 432 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 TG_NOT_01, TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_DEPRECATED, TG_UNDOCUMENTED, TG_RIGHT_DOC, TG_L2, TG_L3
DaterStatsYearNormLikelihood web_itditp: 433 The function of the credibility of the distribution of years in the document. Temporarily disconnected TG_NOT_01, TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_RIGHT_DOC, TG_L3, TG_NN_OVER_FEATURES_USE
DaterStatsAverageSourceSegment web_itditp: 434 The arithmetic mean position of dates in the document. Temporarily disconnected TG_NOT_01, TG_DATE, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_RIGHT_DOC, TG_L3, TG_NN_OVER_FEATURES_USE
LeftAddTimeMP web_itditp: 473 The time for adding the main page of the owner (host?) Will be remaped like Addtime. TG_NOT_01, TG_DATE, TG_HOST, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_LEFT_DOC, TG_L3
AddTimeMP web_itditp: 542 The time for adding the main page of the owner (host?) Will be remaped like Addtime. TG_NOT_01, TG_DATE, TG_HOST, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_RIGHT_DOC, TG_L3
DaterAddTime80Hours web_itditp: 766 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 TG_NOT_01, TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_L3, TG_NN_OVER_FEATURES_USE
DaterAddTime10Days web_itditp: 767 It is considered as (10-x) where X is the return of the document in days (continuously). Uses the data of the Robotaddtime dates TG_NOT_01, TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_L3, TG_NN_OVER_FEATURES_USE
DaterAddTime3Years web_itditp: 768 It is considered as (3-x) where X is the return of the document in years (continuously). Uses the data of the Robotaddtime dates TG_NOT_01, TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_L3, TG_NN_OVER_FEATURES_USE
MetaMetaNonzeroAddTimeMP web_meta_itditp: 103 Meta:Nonzero metafactor on web_itditp:AddTimeMP(542) TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_META, TG_HOST, TG_DATE, TG_UNIMPLEMENTED, TG_L3
MetaAvgAddTime web_meta: 2 Avg metafactor on AddTime(41) TG_META, TG_QUERY_ONLY, TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_BASIC_META, TG_PRS
MetaRmsAddTime web_meta: 23 Rms metafactor on AddTime(41) TG_META, TG_QUERY_ONLY, TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_BASIC_META, TG_PRS
RandomLogQueryAvgAddTime web_new_l1: 87 ADDTIME average value for the year. It is calculated in offline. TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_L2, TG_DATE
DssmRandomLogQueryAvgAddTime web_new_l1: 124 ADDTIME ADDTIME is predicted using a neural network for a year. TG_NEURAL, TG_QUERY_ONLY, TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_L2, TG_DATE