Tag: TG_DATA_FROM_SAASKV

(130 ranking factors)

Factors
IsUrlForClickDeboost web_production: 577 It is known about URL that it is shown too often with very low relevance (according to Bert and/or BM25) TG_STATIC, TG_DOC, TG_UNUSED, TG_OFTEN_ZERO, TG_REARR_USE, TG_DATA_FROM_SAASKV, TG_USED_IN_CONF_REARR
IsFeedListing web_production: 593 OffersBase feature for ecoboost. TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED
IsFeedMain web_production: 594 OffersBase feature for ecoboost. TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED
IsFeedStratocaster web_production: 595 OffersBase feature for ecoboost. TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED
IsFeedAny web_production: 596 OffersBase feature for ecoboost. TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED
HostHasFeedUrls web_production: 630 OffersBase feature for ecoboost. TG_HOST, TG_STATIC, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED
IsFeedOffer web_production: 631 OffersBase feature for ecoboost. TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED
HostEcomKernel1 web_production: 632 Business kernel. TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED
HostEcomKernel2 web_production: 633 Business kernel. TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV
HostEcomKernel3 web_production: 634 Business kernel. TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED
HostUserLeakage web_production: 669 User outflow coefficient from the search after a visit to the site TG_OWNER, TG_STATIC, TG_L2, TG_NOT_01, TG_DATA_FROM_SAASKV, TG_UNUSED
HasTurboEcom web_production: 884 TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED
DomainHasMetrika web_production: 1463 Does owner have metrika or not TG_STATIC, TG_OWNER, TG_META, TG_DATA_FROM_SAASKV
HasSideblock web_production: 1464 The document has a turbo page for Mobile platform. TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_META, TG_DATA_FROM_SAASKV
YellownessMax web_production: 1473 Maximum value of domain yellowness (based on Toloka) TG_STATIC, TG_OWNER, TG_TOLOKA, TG_META, TG_DATA_FROM_SAASKV, TG_DEPRECATED
YellownessMean web_production: 1474 Mean value of domain yellowness (based on Toloka) TG_STATIC, TG_OWNER, TG_TOLOKA, TG_META, TG_DATA_FROM_SAASKV, TG_DEPRECATED
YellownessMedian web_production: 1475 Median of domain yellowness (based on Toloka) TG_STATIC, TG_OWNER, TG_TOLOKA, TG_META, TG_DATA_FROM_SAASKV, TG_DEPRECATED
YellownessMin web_production: 1476 Minimum value of domain yellowness (based on Toloka) TG_STATIC, TG_OWNER, TG_TOLOKA, TG_META, TG_DATA_FROM_SAASKV, TG_DEPRECATED
OwnerWebsiteAttention web_production: 1675 Site owner pays attention to site details (at least once in quarter) TG_OWNER, TG_STATIC, TG_META, TG_DATA_FROM_SAASKV
ChatScore web_production: 1677 Chat info. positive / events or zero TG_OWNER, TG_STATIC, TG_USER, TG_META, TG_DATA_FROM_SAASKV
HostPlayerViewDepth web_production: 1678 Host player info. Relation between view time and video duration TG_OWNER, TG_STATIC, TG_META, TG_DATA_FROM_SAASKV
HasTurbo web_production: 1711 The document has a turbo page. Depends on the platform TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE, TG_DATA_FROM_SAASKV
HasTurboApp web_production: 1793 The document has a turbo page for Desktop platforms. Updates on top of the base are delivered through SaAS. TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED
IsTasIx web_production: 1840 The site is located on the TAS-IX network (relevant for Uzbekistan) TG_OWNER, TG_STATIC, TG_L2, TG_DATA_FROM_SAASKV
HasTurboMobile web_production: 1904 The document has a turbo page for Mobile platform. Updates on top of the base are delivered through SaAS. TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV
HasTurboDesktop web_production: 1905 The document has a turbo page for Desktop platforms. Updates on top of the base are delivered through SaAS. TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_META_OVERWRITE, TG_UNUSED, TG_DATA_FROM_SAASKV
RandomCommercial web_production: 1908 'Random' factor for commercial sites. TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_META, TG_DATA_FROM_SAASKV, TG_UNUSED, TG_NOT_01
QueryTokenMaxFreqMusic alice_query_tokens_factors: 0 Max tokens frequency in music scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenMaxFreqVideo alice_query_tokens_factors: 1 Max tokens frequency in video scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenAvgFreqMusic alice_query_tokens_factors: 2 Average tokens frequency in music scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenAvgFreqVideo alice_query_tokens_factors: 3 Average tokens frequency in video scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenMaxFreqMusicWHF alice_query_tokens_factors: 4 Max tokens frequency in music scenarios (without high frequency tokens) TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenMaxFreqVideoWHF alice_query_tokens_factors: 5 Max tokens frequency in video scenarios (without high frequency tokens) TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenAvgFreqMusicWHF alice_query_tokens_factors: 6 Average tokens frequency in music scenarios (without high frequency tokens) TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenAvgFreqVideoWHF alice_query_tokens_factors: 7 Average tokens frequency in video scenarios (without high frequency tokens) TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenMaxFreqVideoSelectFromGallery alice_query_tokens_factors: 8 Max tokens frequency in video select from gallery scenario TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenAvgFreqVideoSelectFromGallery alice_query_tokens_factors: 9 Avg tokens frequency in video select from gallery scenario TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenMaxFreqGC alice_query_tokens_factors: 10 Max tokens frequency in general conversation scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenAvgFreqGC alice_query_tokens_factors: 11 Avg tokens frequency in general conversation scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenMaxFreqSearch alice_query_tokens_factors: 12 Max tokens frequency in search scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenAvgFreqSearch alice_query_tokens_factors: 13 Avg tokens frequency in search scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenMaxFreqOther alice_query_tokens_factors: 14 Max tokens frequency in other scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenAvgFreqOther alice_query_tokens_factors: 15 Avg tokens frequency in other scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsMaxFreqMusic alice_query_tokens_factors: 16 Max tokens bigrams frequency in music scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsMaxFreqVideo alice_query_tokens_factors: 17 Max tokens bigrams frequency in video scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsAvgFreqMusic alice_query_tokens_factors: 18 Average tokens bigrams frequency in music scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsAvgFreqVideo alice_query_tokens_factors: 19 Average tokens bigrams frequency in video scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsMaxFreqMusicWHF alice_query_tokens_factors: 20 Max tokens bigrams frequency in music scenarios (without high frequency tokens) TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsMaxFreqVideoWHF alice_query_tokens_factors: 21 Max tokens bigrams frequency in video scenarios (without high frequency tokens) TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsAvgFreqMusicWHF alice_query_tokens_factors: 22 Average tokens bigrams frequency in music scenarios (without high frequency tokens) TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsAvgFreqVideoWHF alice_query_tokens_factors: 23 Average tokens bigrams frequency in video scenarios (without high frequency tokens) TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsMaxFreqVideoSelectFromGallery alice_query_tokens_factors: 24 Max tokens bigrams frequency in video select from gallery scenario TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsAvgFreqVideoSelectFromGallery alice_query_tokens_factors: 25 Avg tokens bigrams frequency in video select from gallery scenario TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsMaxFreqGC alice_query_tokens_factors: 26 Max tokens bigrams frequency in general conversation scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsAvgFreqGC alice_query_tokens_factors: 27 Avg tokens bigrams frequency in general conversation scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsMaxFreqSearch alice_query_tokens_factors: 28 Max tokens bigrams frequency in search scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsAvgFreqSearch alice_query_tokens_factors: 29 Avg tokens bigrams frequency in search scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsMaxFreqOther alice_query_tokens_factors: 30 Max tokens bigrams frequency in other scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
QueryTokenBigramsAvgFreqOther alice_query_tokens_factors: 31 Avg tokens bigrams frequency in other scenarios TG_UNUSED, TG_DYNAMIC, TG_DATA_FROM_SAASKV, TG_QUERY_ONLY, TG_USER
ClusteredEmbLogDwelltimeBigramsDocDwt120LessTopavg1 web_meta_pers: 16 Top1 weighted average cosine similarity between document and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime more than 120sec) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocDwt120MoreTopavg1 web_meta_pers: 17 Top1 weighted average cosine similarity between document and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime less than 120sec) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocDwt120LessTopavg2 web_meta_pers: 18 Top2 weighted average cosine similarity between document and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime more than 120sec) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocDwt120MoreTopavg2 web_meta_pers: 19 Top2 weighted average cosine similarity between document and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime less than 120sec) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocDwt120LessCounter30 web_meta_pers: 20 cnt / (1 + cnt), cnt = sum of weights where cosine between document and clustered embedding of documents from user_history > 0.30 (model=LogDwellTimeBigrams, dwelltime more than 120sec) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocDwt120MoreCounter30 web_meta_pers: 21 cnt / (1 + cnt), cnt = sum of weights where cosine between document and clustered embedding of documents from user_history > 0.30 (model=LogDwellTimeBigrams, dwelltime less than 120sec) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocDwt120LessCounter60 web_meta_pers: 22 cnt / (1 + cnt), cnt = sum of weights where cosine between document and clustered embedding of documents from user_history > 0.60 (model=LogDwellTimeBigrams, dwelltime more than 120sec) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocDwt120MoreCounter60 web_meta_pers: 23 cnt / (1 + cnt), cnt = sum of weights where cosine between document and clustered embedding of documents from user_history > 0.60 (model=LogDwellTimeBigrams, dwelltime less than 120sec) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocDwt120LessCounter90 web_meta_pers: 24 cnt / (1 + cnt), cnt = sum of weights where cosine between document and clustered embedding of documents from user_history > 0.90 (model=LogDwellTimeBigrams, dwelltime more than 120sec) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocDwt120MoreCounter90 web_meta_pers: 25 cnt / (1 + cnt), cnt = sum of weights where cosine between document and clustered embedding of documents from user_history > 0.90 (model=LogDwellTimeBigrams, dwelltime less than 120sec) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120LessTopavg1 web_meta_pers: 26 Top1 weighted average cosine similarity between query embedding and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime more than 120sec) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120MoreTopavg1 web_meta_pers: 27 Top1 weighted average cosine similarity between query embedding and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime less than 120sec) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120LessTopavg2 web_meta_pers: 28 Top2 weighted average cosine similarity between query embedding and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime more than 120sec) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120MoreTopavg2 web_meta_pers: 29 Top2 weighted average cosine similarity between query embedding and clustered embedding of documents from user_history (model=LogDwellTimeBigrams, dwelltime less than 120sec) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120LessCounter30 web_meta_pers: 30 cnt / (1 + cnt), cnt = sum of weights where cosine between query embedding and clustered embedding of documents from user_history > 0.30 (model=LogDwellTimeBigrams, dwelltime more than 120sec) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120MoreCounter30 web_meta_pers: 31 cnt / (1 + cnt), cnt = sum of weights where cosine between query embedding and clustered embedding of documents from user_history > 0.30 (model=LogDwellTimeBigrams, dwelltime less than 120sec) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120LessCounter60 web_meta_pers: 32 cnt / (1 + cnt), cnt = sum of weights where cosine between query embedding and clustered embedding of documents from user_history > 0.60 (model=LogDwellTimeBigrams, dwelltime more than 120sec) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClusteredEmbLogDwelltimeBigramsDocXQueryDwt120MoreCounter60 web_meta_pers: 33 cnt / (1 + cnt), cnt = sum of weights where cosine between query embedding and clustered embedding of documents from user_history > 0.60 (model=LogDwellTimeBigrams, dwelltime less than 120sec) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocXQueryDwt120LessWeights5LessMinscore web_meta_pers: 88 Take clustered embeddings (short clicks, centroids with weights less than 5), Calc dot products with query embedding, f = Min(DotProducts) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120LessWeights0AllScoreThreshold95pSatweightsum web_meta_pers: 89 Take clustered embeddings (short clicks), Calc dot products with doc embedding, Take dot product more than 0.95, f = 1 / (1 + sum of weights) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessMintop10pScore web_meta_pers: 90 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, sort descending, f = DotProducts[0.10 * DotProduct.size()] TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessMintop90pScore web_meta_pers: 91 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, sort descending, f = DotProducts[0.90 * DotProduct.size()] TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessMinscore web_meta_pers: 92 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, f = Min(DotProducts) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessScoreThreshold30pSatweightsum web_meta_pers: 93 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, Take dot product more than 0.30, f = 1 / (1 + sum of weights) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessScoreThreshold40pCount web_meta_pers: 94 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, Take dot product more than 0.40, f = count / (count + 10) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights5LessScoreThreshold40pSatweightsum web_meta_pers: 95 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with query embedding, Take dot product more than 0.40, f = 1 / (1 + sum of weights) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocXQueryDwt120MoreWeights10LessAvgtop5Scorexweight web_meta_pers: 96 Take clustered embeddings (long clicks, centroids with weights less than 10), Calc dot products with query embedding, sort descending, take top5, f = AVG(DotProduct[i] * Weight[i]) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights0AllMaxscore web_meta_pers: 97 Take clustered embeddings (long clicks), Calc dot products with doc embedding, f = Max(DotProduct) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights0AllMaxScorexweight web_meta_pers: 98 Take clustered embeddings (long clicks), Calc dot products with doc embedding, f = AVG(DotProduct[i] * Weight[i]) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights0AllScoreThreshold95pSatweightsum web_meta_pers: 99 Take clustered embeddings (long clicks), Calc dot products with doc embedding, Take dot product more than 0.95, f = 1 / (1 + sum of weights) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights5LessMaxscore web_meta_pers: 100 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with doc embedding, f = Max(DotProduct) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights5LessMintop5pScore web_meta_pers: 101 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with doc embedding, sort descending, f = DotProducts[0.05 * DotProduct.size()] TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights5LessMintop30pScore web_meta_pers: 102 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with doc embedding, sort descending, f = DotProducts[0.30 * DotProduct.size()] TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights5LessMinscore web_meta_pers: 103 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with doc embedding, f = Min(DotProducts) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights5LessAvgtop5pScorexweight web_meta_pers: 104 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with doc embedding, sort descending, take top5, f = AVG(DotProduct[i] * Weight[i]) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights5LessScoreThreshold30pSatweightsum web_meta_pers: 105 Take clustered embeddings (long clicks, centroids with weights less than 5), Calc dot products with doc embedding, Take dot product more than 0.30, f = 1 / (1 + sum of weights) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights5MoreMintop10pScore web_meta_pers: 106 Take clustered embeddings (long clicks, centroids with weights more than 5), Calc dot products with doc embedding, sort descending, f = DotProducts[0.10 * DotProduct.size()] TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights10LessMaxscore web_meta_pers: 107 Take clustered embeddings (long clicks, centroids with weights less than 10), Calc dot products with doc embedding, f = Max(DotProduct) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights10LessMintop10pScore web_meta_pers: 108 Take clustered embeddings (long clicks, centroids with weights less than 10), Calc dot products with doc embedding, sort descending, f = DotProducts[0.10 * DotProduct.size()] TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights20LessMaxScorexweight web_meta_pers: 109 Take clustered embeddings (long clicks, centroids with weights less than 20), Calc dot products with doc embedding, f = AVG(DotProduct[i] * Weight[i]) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights20LessScoreThreshold70pSatweightsum web_meta_pers: 110 Take clustered embeddings (long clicks, centroids with weights less than 20), Calc dot products with doc embedding, Take dot product more than 0.70, f = 1 / (1 + sum of weights) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights30LessMaxscore web_meta_pers: 111 Take clustered embeddings (long clicks, centroids with weights less than 30), Calc dot products with doc embedding, f = Max(DotProduct) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsDocDwt120MoreWeights30LessAvgtop20pScorexweight web_meta_pers: 112 Take clustered embeddings (long clicks, centroids with weights less than 30), Calc dot products with doc embedding, sort descending, take top20, f = AVG(DotProduct[i] * Weight[i]) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV
ClustEmbLogDtBigramsQueryAllWeightsAvgtop4ScoreXWeight web_meta_pers: 121 Take clustered embeddings (query embeddings, all weights), Calc dot product with query embedding, Take top4, f = AVG(Score[i] * Weight[i]) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryAllWeightsScoreThreshold75pSatweightsum web_meta_pers: 122 Take clustered embeddings (query embeddings, all weights), Calc dot product with query embedding, Take dot product with score > 0.75, f = 1 / (1 + sum of weights) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryWeights3LessMintop95pScore web_meta_pers: 123 Take clustered embeddings (query embeddings, weights less than 3), Calc dot product with query embedding, Sort descending, f = DotProduct[0.95 * length(DotProducts)] TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryWeights5LessScoreThreshold55pSatweightsum web_meta_pers: 124 Take clustered embeddings (query embeddings, weights less than 5), Calc dot product with query embedding, Take dot product with score > 0.55, f = 1 / (1 + sum of weights) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryWeights5LessMinscore web_meta_pers: 125 Take clustered embeddings (query embeddings, weights less than 5), Calc dot product with query embedding, f = MIN(DotProducts) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryWeights10LessMaxscore web_meta_pers: 126 Take clustered embeddings (query embeddings, weights less than 10), Calc dot product with query embedding, f = MAX(DotProducts) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryWeights15LessMaxScoreXWeight web_meta_pers: 127 Take clustered embeddings (query embeddings, weights less than 15), Calc dot product with query embedding, f = MAX(Score[i] * Weights[i]) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryWeights20LessScoreThreshold70pSatweightsum web_meta_pers: 128 Take clustered embeddings (query embeddings, weights less than 20), Calc dot product with query embedding, Take dot product with score > 0.70, f = 1 / (1 + sum of weights) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryAllWeightsMaxScoreXWeight web_meta_pers: 129 Take clustered embeddings (query embeddings, all weights), Calc dot product with query embedding, f = MAX(Score[i] * Weights[i]) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryXDocWeights3LessMintop5pScore web_meta_pers: 130 Take clustered embeddings (query embeddings, weights less than 3), Calc dot product with doc embedding, Sort descending, f = DotProduct[0.05 * length(DotProducts)] TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryXDocWeights3LessMinscore web_meta_pers: 131 Take clustered embeddings (query embeddings, weights less than 3), Calc dot product with doc embedding, f = MIN(DotProducts) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryXDocWeights5LessMinscore web_meta_pers: 132 Take clustered embeddings (query embeddings, weights less than 5), Calc dot product with doc embedding, f = MIN(DotProducts) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryXDocWeights15LessScoreThreshold45pSatweightsum web_meta_pers: 133 Take clustered embeddings (query embeddings, weights less than 15), Calc dot product with doc embedding, Take dot product with score > 0.45, f = 1 / (1 + sum of weights) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryXDocAllWeightsMaxScoreXWeight web_meta_pers: 134 Take clustered embeddings (query embeddings, all weights), Calc dot product with doc embedding, f = MAX(Score[i] * Weights[i]) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_SAASKV, TG_USER_QUERY
ClustEmbLogDtBigramsQueryXDocAllWeightsScoreThreshold55pSatweightsum web_meta_pers: 135 Take clustered embeddings (query embeddings, all weights), Calc dot product with doc embedding, Take dot product with score > 0.55, f = 1 / (1 + sum of weights) TG_STATIC, TG_DOC, TG_DOC_TEXT, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_SAASKV, TG_USER_QUERY
SDGenerallyPRSMaxSimilarWeight web_meta: 91 Maximum by SimiladocsprsPrsweight counted according to all documents in PRS TG_META, TG_USER, TG_DOC, TG_DYNAMIC, TG_SIMILAR_DOCS, TG_COLLABORATED, TG_PRS, TG_DATA_FROM_SAASKV, TG_DEPRECATED
DomainHasMetrika web_meta: 486 Does owner have metrika or not TG_STATIC, TG_OWNER, TG_META, TG_DATA_FROM_SAASKV
HasSideblock web_meta: 487 The document has a turbo page for Mobile platform. TG_DOC, TG_STATIC, TG_BINARY, TG_OFTEN_ZERO, TG_META, TG_DATA_FROM_SAASKV
IsTasIx web_meta: 488 The site is located on the TAS-IX network (relevant for Uzbekistan) TG_OWNER, TG_STATIC, TG_DATA_FROM_SAASKV, TG_DEPRECATED
RandomCommercial web_meta: 489 'Random' factor for commercial sites. TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_META, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED, TG_UNUSED, TG_NOT_01
HostBizKernel4 web_meta: 490 Thematic business cakel TG_OWNER, TG_USER, TG_STATIC, TG_OFTEN_ZERO, TG_META, TG_DATA_FROM_SAASKV, TG_UNIMPLEMENTED, TG_UNUSED
OwnerWebsiteAttention web_meta: 491 Site owner pays attention to site details (at least once in quarter) TG_OWNER, TG_STATIC, TG_META, TG_DATA_FROM_SAASKV
ChatScore web_meta: 492 Chat info. positive / events or zero TG_OWNER, TG_STATIC, TG_USER, TG_META, TG_DATA_FROM_SAASKV
HostPlayerViewDepth web_meta: 493 Host player info. Relation between view time and video duration TG_OWNER, TG_STATIC, TG_META, TG_DATA_FROM_SAASKV
IsReservedOwner web_meta: 502 From reseved_owner namespace in SaaS-KV TG_STATIC, TG_DOC, TG_UNUSED, TG_OFTEN_ZERO, TG_REARR_USE, TG_DATA_FROM_SAASKV
IsReservedUrl web_meta: 503 From reseved_url namespace in SaaS-KV TG_STATIC, TG_DOC, TG_UNUSED, TG_OFTEN_ZERO, TG_REARR_USE, TG_DATA_FROM_SAASKV
IsReservedOwnerFast web_meta: 504 From reseved_owner namespace in SaaS-KV for fast reaction TG_STATIC, TG_DOC, TG_UNUSED, TG_OFTEN_ZERO, TG_REARR_USE, TG_DATA_FROM_SAASKV
IsReservedUrlFast web_meta: 505 From reseved_url namespace in SaaS-KV for fast reaction TG_STATIC, TG_DOC, TG_UNUSED, TG_OFTEN_ZERO, TG_REARR_USE, TG_DATA_FROM_SAASKV