Tag: TG_USER_QUERY

(40 ranking factors)

Factors
DifferentTrigramsCountPrevQCurQRealtime web_meta_pers: 6 Saturated number of different trigrams for current and previous query by realtime user_actions TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_PERS, TG_USER_QUERY, TG_DEPRECATED
DifferentWordsCountPrevQCurQRealtime web_meta_pers: 7 Saturated number of different words in current and previous query by realtime user_actions TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_PERS, TG_USER_QUERY, TG_DEPRECATED
CurQSessionBm25FixedRealtime web_meta_pers: 9 Sat(BM25(current query, user requests)) by realtime user_actions TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_PERS, TG_USER_QUERY, TG_DEPRECATED
QIsSameAsPrevQRealtime web_meta_pers: 36 Normalized query equals to previous one in session by realtime user_actions TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_PERS, TG_BINARY, TG_USER_QUERY, TG_DEPRECATED
TimeBetweenPrevAndCurQ web_meta_pers: 43 Saturated time between current and previous query TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_PERS, TG_USER_QUERY, TG_DEPRECATED
CommonWordsCountPrevQCurQRealtime web_meta_pers: 113 Saturated number of common words in current and previous query TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_PERS, TG_USER_QUERY, TG_DEPRECATED
FadingEmbLogDwelltimeBigramsQuery001days web_meta_pers: 114 Cosine similarity between query embedding and fading embedding of queries from RTMR user_history, (model=LogDwellTimeBigrams, fadingCoef=0.01days) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_BIGRT, TG_USER_QUERY
FadingEmbLogDwelltimeBigramsQuery002days web_meta_pers: 115 Cosine similarity between query embedding and fading embedding of queries from RTMR user_history, (model=LogDwellTimeBigrams, fadingCoef=0.02days) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_BIGRT, TG_USER_QUERY
FadingEmbLogDwelltimeBigramsQueryXDoc001days web_meta_pers: 116 Cosine similarity between doc embedding and fading embedding of queries from RTMR user_history, (model=LogDwellTimeBigrams, fadingCoef=0.01days) 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_BIGRT, TG_USER_QUERY
FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp003days web_meta_pers: 117 fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.03days) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_BIGRT, TG_USER_QUERY, TG_DEPRECATED
FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp12days web_meta_pers: 118 fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=1.2days) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_BIGRT, TG_USER_QUERY, TG_DEPRECATED
FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp6days web_meta_pers: 119 fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=6days) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_BIGRT, TG_USER_QUERY, TG_DEPRECATED
FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp14days web_meta_pers: 120 fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=14days) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_BIGRT, TG_USER_QUERY, TG_DEPRECATED
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
LogDtBigramsUserLast10QueriesMaxScoreXWeight web_meta_pers: 136 Take last 10 query embeddings, 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_BIGRT, TG_USER_QUERY
LogDtBigramsUserLast10QueriesXDocMaxScoreXWeight web_meta_pers: 137 Take last 10 query embeddings, 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_BIGRT, TG_USER_QUERY
LogDtBigramsUserLast20QueriesMaxScoreXWeight web_meta_pers: 138 Take last 20 query embeddings, 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_BIGRT, TG_USER_QUERY
LogDtBigramsUserLast20QueriesAvgtop3ScoreXWeight web_meta_pers: 139 Take last 20 query embeddings, Calc dot product with query embedding, Take top3, 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_BIGRT, TG_USER_QUERY
LogDtBigramsUserLast30QueriesMintop5pScore web_meta_pers: 140 Take last 30 query embeddings, Calc dot product with query embedding, Sort descending, f = DotProduct[0.05 * length(DotProducts)] TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_BIGRT, TG_USER_QUERY
LogDtBigramsUserLast40QueriesMaxScoreXWeight web_meta_pers: 141 Take last 40 query embeddings, 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_BIGRT, TG_USER_QUERY
LogDtBigramsUserLast50QueriesMaxscore web_meta_pers: 142 Take last 50 query embeddings, 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_BIGRT, TG_USER_QUERY
LogDtBigramsUserLast50QueriesMintop2Score web_meta_pers: 143 Take last 50 query embeddings, Calc dot product with query embedding, sort descending, f = DotProducts[1] (in zero-numeration) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_NOT_01, TG_DATA_FROM_BIGRT, TG_USER_QUERY
FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp003days web_meta_pers: 157 fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.03days), f = 1 - 2^(-0.2 * value) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_BIGRT, TG_USER_QUERY
FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp12days web_meta_pers: 158 fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=1.2days), f = 1 - 2^(-0.2 * value) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_BIGRT, TG_USER_QUERY
FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp6days web_meta_pers: 159 fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=6days), f = 1 - 2^(-0.2 * value) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_BIGRT, TG_USER_QUERY
FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp14days web_meta_pers: 160 fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=14days), f = 1 - 2^(-0.2 * value) TG_DYNAMIC, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_NEURAL, TG_PERS, TG_DATA_FROM_BIGRT, TG_USER_QUERY