Tag: TG_RTMODELS_SERVICE

(51 ranking factors)

Factors
DssmYaMusicASREarlyBindingCe web_production: 436 DSSM model with early binding, trained on reforming and learned by ASR hypotheses of musical requests for Alice TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_DOC_CONTENT, TG_NEURAL, TG_UNUSED, TG_ALICE_MUSIC, TG_RTMODELS_SERVICE, TG_ALLOW_USE_FOR_ALICE
DssmYaMusicEarlyBindingCe web_production: 438 DSSM model with early binding, trained on reforming and learned on musical requests for Alice TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_DOC_CONTENT, TG_NEURAL, TG_UNDOCUMENTED, TG_UNUSED, TG_ALICE_MUSIC, TG_RTMODELS_SERVICE, TG_ALLOW_USE_FOR_ALICE
CommercialDssmOddLike web_production: 812 Finetuned reformulations DSSM to commercial clicked bargain odd-like target from visit log TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_DOC_TEXT, TG_URL_TEXT, TG_NEURAL, TG_COMMERCIAL, TG_RTMODELS_SERVICE, TG_NN_OVER_FEATURES_USE
AliceClickDssm web_production: 900 DSSM CLOSE DISCOUNT according to data specific for Alice TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_DOC_CONTENT, TG_NEURAL, TG_UNDOCUMENTED, TG_UNUSED, TG_ALICE_MUSIC, TG_RTMODELS_SERVICE, TG_ALLOW_USE_FOR_ALICE
AliceTimespentSuffixSum web_production: 957 The prediction of the total time spent to the end of the session, provided that this pair is implemented by the request-document TG_UNIMPLEMENTED, TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_DOC_CONTENT, TG_NEURAL, TG_UNDOCUMENTED, TG_UNUSED, TG_ALICE_MUSIC, TG_RTMODELS_SERVICE, TG_ALLOW_USE_FOR_ALICE
AliceTimespent web_production: 958 The prediction of the contribution of this pair request-document to the timetable TG_UNIMPLEMENTED, TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_DOC_CONTENT, TG_NEURAL, TG_UNDOCUMENTED, TG_UNUSED, TG_ALICE_MUSIC, TG_RTMODELS_SERVICE, TG_ALLOW_USE_FOR_ALICE
AliceMaxPercentPlayed web_production: 965 The prediction of the percentage of the length of the track, which will be lost subject to the implementation of this pair of the request TG_UNIMPLEMENTED, TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_DOC_CONTENT, TG_NEURAL, TG_UNDOCUMENTED, TG_UNUSED, TG_ALICE_MUSIC, TG_RTMODELS_SERVICE, TG_ALLOW_USE_FOR_ALICE
AliceTimespentSum web_production: 1273 Prediction of the time of the session, provided that this pair is requested by the request-document TG_UNIMPLEMENTED, TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_DOC_CONTENT, TG_NEURAL, TG_UNDOCUMENTED, TG_UNUSED, TG_ALICE_MUSIC, TG_RTMODELS_SERVICE, TG_ALLOW_USE_FOR_ALICE
DssmLogDwellTimeBigrams web_production: 1338 DSSM model trained on clicks. Takes bigrams into account. TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_NEURAL, TG_NN_OVER_FEATURES_USE, TG_DEPRECATED, TG_RTMODELS_SERVICE
DssmOneClickProbability web_production: 1405 DSSM model trained on clicks, target=OneClicks/Clicks. Takes bigrams into account. TG_DEPRECATED, TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_URL_TEXT, TG_DOC_TEXT, TG_NEURAL, TG_USERFEAT, TG_USERFEAT_730D, TG_NN_OVER_FEATURES_USE, TG_RTMODELS_SERVICE
DssmQueryDwellTime web_production: 1406 DSSM model trained on clicks, target=QueryDwellTime stream value. Takes bigrams into account. TG_DEPRECATED, TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_URL_TEXT, TG_DOC_TEXT, TG_NEURAL, TG_USERFEAT, TG_USERFEAT_730D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_SEARCH_DWELL_TIME, TG_RTMODELS_SERVICE
alice_aramusic_dssm web_production: 1430 TG_ALICE_ARAMUSIC, TG_RTMODELS_SERVICE, TG_NEURAL, TG_DYNAMIC, TG_DOC, TG_URL_TEXT, TG_DOC_TEXT, TG_UNUSED, TG_UNIMPLEMENTED
AliceMusicRelevanceDssm web_production: 1431 DSSM Prediction to determine Alice's irrelevant answers TG_ALICE_MUSIC, TG_RTMODELS_SERVICE, TG_NEURAL, TG_DYNAMIC, TG_DOC, TG_URL_TEXT, TG_DOC_TEXT, TG_ALLOW_USE_FOR_ALICE, TG_UNUSED, TG_UNIMPLEMENTED
DssmCtrNoMiner web_production: 1504 DSSM model trained on CTRs without miner. TG_DEPRECATED, TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_NEURAL, TG_NN_OVER_FEATURES_USE, TG_RTMODELS_SERVICE
DssmCtrEngSsHard web_production: 1855 DSSM model trained on cross language CTRs using serp similarity hard miner. TG_DYNAMIC, TG_DOC_TEXT, TG_URL_TEXT, TG_USER, TG_USER_SEARCH, TG_NEURAL, TG_NN_OVER_FEATURES_USE, TG_RTMODELS_SERVICE
ReformulationsLongestClickLogDt web_production: 1885 DSSM model that predicts the logarithm of the longest click on the Serpa. As negative examples, select Urla from past requests of the same user, and the maximum time between requests is no more than 7 minutes (super -cords for reformulations) TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_NEURAL, TG_NN_OVER_FEATURES_USE, TG_RTMODELS_SERVICE
ReformulationsLongestClickLogDtEarlyBindingDssm web_production: 1892 DSSM model with early binding, trained in reformulations, which predicts the logarithm of the longest click on the Serpa. TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_NEURAL, TG_UNSUPPORTED, TG_NN_OVER_FEATURES_USE, TG_RTMODELS_SERVICE
DssmReformulationsWithExtensions web_production: 1898 DSSM model trained on a reformal pool, which in the request, in addition to the request itself, receives 4 extensions of the XFDT with the largest weight TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_NEURAL, TG_UNSUPPORTED, TG_LINGBOOST, TG_NN_OVER_FEATURES_USE, TG_RTMODELS_SERVICE
DssmFomula8YearsCe25Prediction web_production: 1906 A model trained to predict an assessment of the USSR-DUMP-20190719 PRS-20190720 ALL-8-YEARS [T> 0.25] Crossentropy 20K 0.25 -s 0.8 -z 1. TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_NEURAL, TG_UNIMPLEMENTED, TG_USE_MARKUP, TG_ALL_RELEVANCE_MARKUP, TG_RTMODELS_SERVICE
DssmFomula8YearsCe25PredictionRatings web_production: 1912 A model trained to predict an assessment of the USSR-DUMP-20190719 PRS-20190720 ALL-8-YEARS [T> 0.25] Crossentropy 20K 0.25 -s 0.8 -z 1 and an educational study on assessments of relevance. TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_URL_TEXT, TG_DOC_TEXT, TG_NEURAL, TG_USE_MARKUP, TG_ALL_RELEVANCE_MARKUP, TG_RTMODELS_SERVICE
AliceAramusicDssmL2 web_l2: 76 TG_ALICE_ARAMUSIC, TG_RTMODELS_SERVICE, TG_NEURAL, TG_DYNAMIC, TG_DOC, TG_URL_TEXT, TG_DOC_TEXT, TG_L2, TG_UNUSED, TG_ALLOW_USE_FOR_ALICE
DssmDwelltimeRegChainTrainedEmbedding web_meta: 297 Model trained on url, title and user regions chain. Target: DwellTime TG_USER, TG_USER_SEARCH, TG_DYNAMIC, TG_DOC, TG_NEURAL, TG_LOCALIZED_CITY, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordOtzyvy web_meta: 298 The proximity between the title and the word 'reviews', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordNovosti web_meta: 299 The proximity between the title and the word 'News', designed using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordSkolko web_meta: 300 The proximity between the title and the word 'how much', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordPochemu web_meta: 301 The proximity between the title and the word 'why', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordDelat web_meta: 302 The proximity between the title and the word 'do', designed using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordInstagram web_meta: 303 The proximity between the title and the word 'Instagram', designed using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordUkraina web_meta: 304 The proximity between the title and the word 'Ukraine', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordZnachenie web_meta: 305 The proximity between the title and the word 'meaning', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordKrasivye web_meta: 306 The proximity between the title and the word 'Beautiful', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordStoit web_meta: 307 The proximity between the title and the word 'stands', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleQueryMinWordSimilarity web_meta: 308 The minimum proximity between the title and the words of the request calculated using the model from the Factor-1635 TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleQueryMaxMinDiff web_meta: 309 The difference in maximum and minimal proximity between the title and all the words of the request TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleNearestHalfAvg web_meta: 310 We sort the words of the proximity to Title and leave half the closest. The meaning of the factor is the average proximity among the remaining (closest to Title) TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleQueryMinWordSimilarityExcludeNumbers web_meta: 311 Similarly, fi_query_word_title_Query_min_word_similarity (minimum proximity between the title and the words of the request), but the numbers in the request are not taken into account TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleCityMaxWordSimilarity web_meta: 312 The maximum proximity between the title and the words of the city of the user, calculated using the model from the Factor-1635 TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleOblMinWordSimilarity web_meta: 313 The minimum proximity between the title and the words of the user area calculated using the model from the Factor-1635 TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleOblMaxWordSimilarity web_meta: 314 The maximum proximity between the title and the words of the user area calculated using the model from the Factor-1635 TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordSerial web_meta: 321 The proximity between the title and the word 'series', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordOficialnyj web_meta: 322 The proximity between the title and the word 'Official', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordSezon web_meta: 323 The proximity between the title and the word 'season', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordRozhdeniya web_meta: 324 The proximity between the title and the word 'birth', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordXoroshem web_meta: 326 The proximity between the title and the word 'good', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordVk web_meta: 352 The proximity between the title and the word 'vk', calculated using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordKupit web_meta: 353 The proximity between the title and the word 'buy', designed using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
QueryWordTitleDistanceToWordMuzyku web_meta: 355 The proximity between the title and the word 'music', designed using the model from the Factor-1635 TG_STATIC, TG_USER, TG_DOC, TG_USER_SEARCH, TG_META, TG_NEURAL, TG_RTMODELS_SERVICE
FeaturesPersonalModelPers web_rtmodels: 15 Features personal model pers predict TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_L3, TG_PERS, TG_DATA_FROM_BIGRT, TG_RTMODELS_SERVICE
FeaturesPersonalModelOdd web_rtmodels: 16 Features personal model odd predict TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_L3, TG_PERS, TG_DATA_FROM_BIGRT, TG_RTMODELS_SERVICE, TG_UNIMPLEMENTED
FeaturesPersonalModelTr web_rtmodels: 17 Features personal model tr predict TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_L3, TG_PERS, TG_DATA_FROM_BIGRT, TG_RTMODELS_SERVICE, TG_UNIMPLEMENTED
FeaturesPersonalModelSurplus web_rtmodels: 18 Features personal model surplus predict TG_DYNAMIC, TG_DOC, TG_USER, TG_USER_SEARCH, TG_L3, TG_PERS, TG_DATA_FROM_BIGRT, TG_RTMODELS_SERVICE, TG_UNIMPLEMENTED