Tag: TG_DATA_FROM_BIGRT
(131 ranking factors)
Factors |
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RcSpylogUrlRationalSigmoidD1T240
web_production: 446
URL feature computed from rapid clicks spy_log counters with decay of 1 day
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RcSpylogUrlRationalSigmoidD1T240Frozen
web_production: 447
URL feature computed from rapid clicks spy_log counters with decay of 1 day
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RcSpylogUrlRationalSigmoidD0_5T30
web_production: 448
URL feature computed from rapid clicks spy_log counters with decay of 0.5 days
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RcSpylogUrlRationalSigmoidD0_5T30Frozen
web_production: 449
URL feature computed from rapid clicks spy_log counters with decay of 0.5 day
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RcSpylogUrlRationalSigmoidD3T120
web_production: 478
URL feature computed from rapid clicks spy_log counters with decay of 3 days
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RcSpylogUrlRationalSigmoidD3T120Frozen
web_production: 484
URL feature computed from rapid clicks spy_log counters with decay of 3 days
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RcSpylogUrlRationalSigmoidD14T300
web_production: 485
URL feature computed from rapid clicks spy_log counters with decay of 14 days
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RcSpylogUrlRationalSigmoidD14T300Frozen
web_production: 489
URL feature computed from rapid clicks spy_log counters with decay of 14 days
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RcSpylogAge
web_production: 490
Age of rapid clicks spy_log update, in seconds
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RcSpylogFreshness
web_production: 491
Freshness of rapid clicks spy_log update
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RcSpylogFreshnessAtReq
web_production: 519
Freshness of rapid clicks spy_log update, calculated at the request time
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RcSpylogUrlRationalSigmoidD1T240AtReq
web_production: 532
URL feature computed at the request time from rapid clicks spy_log counters with decay of 1 day
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RcSpylogUrlRationalSigmoidD0_5T30AtReq
web_production: 536
URL feature computed at the request time from rapid clicks spy_log counters with decay of 0.5 days
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RcSpylogUrlRationalSigmoidD3T120AtReq
web_production: 570
URL feature computed at the request time from rapid clicks spy_log counters with decay of 3 days
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RcSpylogUrlRationalSigmoidD14T300AtReq
web_production: 571
URL feature computed at the request time from rapid clicks spy_log counters with decay of 14 days
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RcSearchBaseUrlRationalSigmoidD1TM600AtReq
web_production: 635
URL feature computed at the request time from rapid clicks search counters with decay of 1 day
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RcSearchBaseUrlContrastD30Odd0_9_X_D30T1AtReq
web_production: 638
URL feature computed at the request time from rapid clicks search counters with decay of 30 days
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RcSearchBaseUrlRationalSigmoidD3T120AtReq
web_production: 735
URL feature computed at the request time from rapid clicks search counters with decay of 3 days
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RcSearchBaseUrlRationalSigmoidD1TM600Frozen
web_production: 746
URL feature computed from rapid clicks search frozen counters with decay of 1 day
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RcSearchBaseUrlContrastD30Odd0_9_X_D30T1Frozen
web_production: 768
URL feature computed from rapid clicks search frozen counters with decay of 30 days
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RcSearchBaseUrlRationalSigmoidD3T120Frozen
web_production: 779
URL feature computed from rapid clicks search frozen counters with decay of 3 days
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RcSpylogHostRationalSigmoidD3T0AtReq
web_production: 800
Host feature computed at the request time from rapid clicks spy_log counters with decay of 3 days
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RcSpylogHostRationalSigmoidD3DTM3600AtReq
web_production: 801
Host feature computed at the request time from rapid clicks spy_log counters with decay of 3 days
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RcSpylogHostRationalSigmoidD14T0AtReq
web_production: 802
Host feature computed at the request time from rapid clicks spy_log counters with decay of 14 days
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RcSpylogHostRationalSigmoidD14DTM3600AtReq
web_production: 803
Host feature computed at the request time from rapid clicks spy_log counters with decay of 14 days
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RcSpylogHostRationalSigmoidedCTRD3DT0TM3600AtReq
web_production: 804
Host feature computed at the request time from rapid clicks spy_log counters with decay of 3 days
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RcSpylogHostRationalSigmoidedCTRD14DT0TM3600AtReq
web_production: 805
Host feature computed at the request time from rapid clicks spy_log counters with decay of 14 days
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RcSpylogHostRationalSigmoidD3T0Frozen
web_production: 806
Host feature computed from rapid clicks spy_log counters with decay of 3 days
|
RcSpylogHostRationalSigmoidD3DTM3600Frozen
web_production: 807
Host feature computed from rapid clicks spy_log counters with decay of 3 days
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RcSpylogHostRationalSigmoidD14T0Frozen
web_production: 808
Host feature computed from rapid clicks spy_log counters with decay of 14 days
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RcSpylogHostRationalSigmoidD14DTM3600Frozen
web_production: 809
Host feature computed from rapid clicks spy_log counters with decay of 14 days
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RcSpylogHostRationalSigmoidedCTRD3DT0TM3600Frozen
web_production: 810
Host feature computed from rapid clicks spy_log counters with decay of 3 days
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RcSpylogHostRationalSigmoidedCTRD14DT0TM3600Frozen
web_production: 811
Host feature computed from rapid clicks spy_log counters with decay of 14 days
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FadingEmbLogDwelltimeBigramsDoc01daysDwt120Less
web_meta_pers: 0
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDoc01daysDwt120More
web_meta_pers: 1
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
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FadingEmbLogDwelltimeBigramsDoc05daysDwt120Less
web_meta_pers: 2
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDoc05daysDwt120More
web_meta_pers: 3
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
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FadingEmbLogDwelltimeBigramsDoc3daysDwt120Less
web_meta_pers: 4
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDoc3daysDwt120More
web_meta_pers: 5
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
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FadingEmbLogDwelltimeBigramsDocXQuery01daysDwt120Less
web_meta_pers: 10
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDocXQuery01daysDwt120More
web_meta_pers: 11
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
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FadingEmbLogDwelltimeBigramsDocXQuery05daysDwt120Less
web_meta_pers: 12
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDocXQuery05daysDwt120More
web_meta_pers: 13
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
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FadingEmbLogDwelltimeBigramsDocXQuery3daysDwt120Less
web_meta_pers: 14
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDocXQuery3daysDwt120More
web_meta_pers: 15
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120Less
web_meta_pers: 37
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120More
web_meta_pers: 38
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120Less
web_meta_pers: 39
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120More
web_meta_pers: 40
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120Less
web_meta_pers: 41
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120More
web_meta_pers: 42
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
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LogDwelltimeUserAllClicksDwt0allXQueryEmbMaxScoreXWeight
web_meta_pers: 44
DotProducts = (all click embeddings from user_history) * QueryEmb, Take top1 weighted DotProduct
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LogDwelltimeUserAllClicksDwt0allXDocEmbMaxScoreXWeight
web_meta_pers: 45
DotProducts = (all click embeddings from user_history) * DocEmb, Take top1 weighted DotProduct
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LogDwelltimeUserAllClicksDwt60lessXDocEmbMaxScoreXWeight
web_meta_pers: 46
DotProducts = (all click embeddings from user_history where dwelltime < 60) * DocEmb, Take top1 weighted DotProduct
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LogDwelltimeUserAllClicksDwt60lessXDocEmbScoreThreshold50pCount
web_meta_pers: 47
DotProducts = (all click embeddings from user_history where dwelltime < 60) * DocEmb, Take DotProducts > 0.50, f = count / count + 10
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LogDwelltimeUserAllClicksDwt60lessXDocEmbMinscore
web_meta_pers: 48
DotProducts = (all click embeddings from user_history where dwelltime < 60) * DocEmb, min DotProducts
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LogDwelltimeUserAllClicksDwt60moreXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 49
DotProducts = (all click embeddings from user_history where dwelltime >= 60) * DocEmb, Take average of top2 weighted DotProducts
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LogDwelltimeUserAllClicksDwt60moreXDocEmbAvgtop4ScoreXWeight
web_meta_pers: 50
DotProducts = (all click embeddings from user_history where dwelltime >= 60) * DocEmb, Take average of top4 weighted DotProducts
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LogDwelltimeUserAllClicksDwt90moreXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 51
DotProducts = (all click embeddings from user_history where dwelltime >= 90) * DocEmb, Take average of top2 weighted DotProducts
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LogDwelltimeUserAllClicksDwt90moreXDocEmbScoreThreshold40pCount
web_meta_pers: 52
DotProducts = (all click embeddings from user_history where dwelltime >= 90) * DocEmb, Take DotProducts > 0.40, f = count / count + 10
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LogDwelltimeUserAllClicksDwt90moreXDocEmbMintop40pScore
web_meta_pers: 53
DotProducts = (all click embeddings from user_history where dwelltime >= 90) * DocEmb, sort descending, f = DotProducts[0.4 * len(DotProducts)]
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LogDwelltimeUserAllClicksDwt180moreXDocEmbAvgtop4ScoreXWeight
web_meta_pers: 54
DotProducts = (all click embeddings from user_history where dwelltime >= 180) * DocEmb, Take average of top4 weighted DotProducts
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LogDwelltimeUserAllClicksDwt210moreXDocEmbMintop10pScore
web_meta_pers: 55
DotProducts = (all click embeddings from user_history where dwelltime >= 210) * DocEmb, sort descending, f = DotProducts[0.1 * len(DotProducts)]
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LogDwelltimeUserAllClicksDwt450moreXDocEmbScoreThreshold100pRelcount
web_meta_pers: 56
DotProducts = (all click embeddings from user_history where dwelltime >= 450) * DocEmb, Take DotProducts > 0.10, f = 2 * count / (count + len(DotProducts))
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LogDwelltimeUserLong120ClicksDwt600moreXQueryEmbMintop20pScore
web_meta_pers: 57
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 600) * QueryEmb, sort descending, f = DotProducts[0.2 * len(DotProducts)]
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LogDwelltimeUserLong120ClicksDwt30moreXDocEmbMaxscore
web_meta_pers: 58
DotProducts = (longer 120s click embeddings from user_history) * DocEmb, max DotProducts
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LogDwelltimeUserLong120ClicksDwt180lessXDocEmbAvgtop30pScoreXWeight
web_meta_pers: 59
DotProducts = (longer 120s click embeddings from user_history where dwelltime < 180) * DocEmb, Take average of top(0.30 * len(DotProducts)) weighted DotProducts
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LogDwelltimeUserLong120ClicksDwt180lessXDocEmbMintop90pScore
web_meta_pers: 60
DotProducts = (longer 120s click embeddings from user_history where dwelltime < 180) * DocEmb, sort descending, f = DotProducts[0.9 * len(DotProducts)]
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LogDwelltimeUserLong120ClicksDwt180moreXDocEmbMaxScoreXWeight
web_meta_pers: 61
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 180) * DocEmb, Take top1 weighted DotProduct
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LogDwelltimeUserLong120ClicksDwt180moreXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 62
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 180) * DocEmb, Take average of top2 weighted DotProducts
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LogDwelltimeUserLong120ClicksDwt360moreXDocEmbMaxScoreXWeight
web_meta_pers: 63
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 360) * DocEmb, Take top1 weighted DotProduct
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LogDwelltimeUserLong120ClicksDwt360moreXDocEmbAvgtop10pScoreXWeight
web_meta_pers: 64
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 360) * DocEmb, Take average of top(0.10 * len(DotProducts)) weighted DotProducts
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LogDwelltimeUserLong120ClicksDwt360moreXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 65
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 360) * DocEmb, Take average of top2 weighted DotProducts
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LogDwelltimeUserLong120ClicksDwt360moreXDocEmbMintop20pScore
web_meta_pers: 66
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 360) * DocEmb, sort descending, f = DotProducts[0.2 * len(DotProducts)]
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LogDwelltimeUserLong120ClicksDwt600lessXDocEmbMaxScoreXWeight
web_meta_pers: 67
DotProducts = (longer 120s click embeddings from user_history where dwelltime < 600) * DocEmb, Take top1 weighted DotProduct
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LogDwelltimeUserLong120ClicksDwt600lessXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 68
DotProducts = (longer 120s click embeddings from user_history where dwelltime < 600) * DocEmb, Take average of top2 weighted DotProducts
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LogDwelltimeUserLong120ClicksDwt600lessXDocEmbScoreThreshold50pCount
web_meta_pers: 69
DotProducts = (longer 120s click embeddings from user_history where dwelltime < 600) * DocEmb, Take DotProducts > 0.50, f = count / count + 10
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LogDwelltimeUserLong120ClicksDwt600moreXDocEmbAvgtop2ScoreXWeight
web_meta_pers: 70
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 600) * DocEmb, Take average of top2 weighted DotProducts
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LogDwelltimeUserLong120ClicksDwt600moreXDocEmbScoreThreshold40pSaturatedweightsum
web_meta_pers: 71
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 600) * DocEmb, Take DotProducts > 0.40, f = weightSum / (weightSum + 1)
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LogDwelltimeUserLong120ClicksDwt600moreXDocEmbScoreThreshold100pRelcount
web_meta_pers: 72
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 600) * DocEmb, Take DotProducts > 0.10, f = 2 * count / (count + len(DotProducts))
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LogDwelltimeUserLong120ClicksDwt600moreXDocEmbMaxscore
web_meta_pers: 73
DotProducts = (longer 120s click embeddings from user_history where dwelltime >= 600) * DocEmb, max DotProducts
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FadingEmbLogDwelltimeBigramsDocXQueryDays01Dwt30Less
web_meta_pers: 74
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 30sec)
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FadingEmbLogDwelltimeBigramsDocXQueryDays01Dwt30More
web_meta_pers: 75
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 30sec)
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FadingEmbLogDwelltimeBigramsDocXQueryDays01Dwt300Less
web_meta_pers: 76
Cosine similarity between query embedding and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 300sec)
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FadingEmbLogDwelltimeBigramsDocDays01Dwt30More
web_meta_pers: 77
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 30sec)
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FadingEmbLogDwelltimeBigramsDocDays01Dwt300More
web_meta_pers: 78
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 300sec)
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FadingEmbLogDwelltimeBigramsDocDays01Dwt600More
web_meta_pers: 79
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 600sec)
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FadingEmbLogDwelltimeBigramsDocDays12Dwt90More
web_meta_pers: 80
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=12days, dwelltime more than 90sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestampDays01Dwt30More
web_meta_pers: 81
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 30sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestampDays01Dwt90Less
web_meta_pers: 82
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 90sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestampDays01Dwt300More
web_meta_pers: 83
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 300sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestampDays02Dwt600Less
web_meta_pers: 84
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.2days, dwelltime less than 600sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestampDays03Dwt30More
web_meta_pers: 85
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.3days, dwelltime more than 30sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestampDays03Dwt600More
web_meta_pers: 86
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.3days, dwelltime more than 600sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestampDays300Dwt30Less
web_meta_pers: 87
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=300days, dwelltime less than 120sec DWT30)
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FadingEmbLogDwelltimeBigramsQuery001days
web_meta_pers: 114
Cosine similarity between query embedding and fading embedding of queries from RTMR user_history, (model=LogDwellTimeBigrams, fadingCoef=0.01days)
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FadingEmbLogDwelltimeBigramsQuery002days
web_meta_pers: 115
Cosine similarity between query embedding and fading embedding of queries from RTMR user_history, (model=LogDwellTimeBigrams, fadingCoef=0.02days)
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FadingEmbLogDwelltimeBigramsQueryXDoc001days
web_meta_pers: 116
Cosine similarity between doc embedding and fading embedding of queries from RTMR user_history, (model=LogDwellTimeBigrams, fadingCoef=0.01days)
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FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp003days
web_meta_pers: 117
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.03days)
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FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp12days
web_meta_pers: 118
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=1.2days)
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FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp6days
web_meta_pers: 119
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=6days)
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FadingEmbLogDwelltimeBigramsQueryDeltaTimestamp14days
web_meta_pers: 120
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=14days)
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LogDtBigramsUserLast10QueriesMaxScoreXWeight
web_meta_pers: 136
Take last 10 query embeddings, Calc dot product with query embedding, f = MAX(Score[i] * Weights[i])
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LogDtBigramsUserLast10QueriesXDocMaxScoreXWeight
web_meta_pers: 137
Take last 10 query embeddings, Calc dot product with doc embedding, f = MAX(Score[i] * Weights[i])
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LogDtBigramsUserLast20QueriesMaxScoreXWeight
web_meta_pers: 138
Take last 20 query embeddings, Calc dot product with query embedding, f = MAX(Score[i] * Weights[i])
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LogDtBigramsUserLast20QueriesAvgtop3ScoreXWeight
web_meta_pers: 139
Take last 20 query embeddings, Calc dot product with query embedding, Take top3, f = AVG(Score[i] * Weight[i])
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LogDtBigramsUserLast30QueriesMintop5pScore
web_meta_pers: 140
Take last 30 query embeddings, Calc dot product with query embedding, Sort descending, f = DotProduct[0.05 * length(DotProducts)]
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LogDtBigramsUserLast40QueriesMaxScoreXWeight
web_meta_pers: 141
Take last 40 query embeddings, Calc dot product with query embedding, f = MAX(Score[i] * Weights[i])
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LogDtBigramsUserLast50QueriesMaxscore
web_meta_pers: 142
Take last 50 query embeddings, Calc dot product with query embedding, f = MAX(DotProducts)
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LogDtBigramsUserLast50QueriesMintop2Score
web_meta_pers: 143
Take last 50 query embeddings, Calc dot product with query embedding, sort descending, f = DotProducts[1] (in zero-numeration)
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FadingEmbLogDtBigramsNormalizedDeltaTimestamp01daysDwt120Less
web_meta_pers: 144
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedDeltaTimestamp01daysDwt120More
web_meta_pers: 145
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedDeltaTimestamp05daysDwt120Less
web_meta_pers: 146
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedDeltaTimestamp05daysDwt120More
web_meta_pers: 147
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedDeltaTimestamp3daysDwt120Less
web_meta_pers: 148
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestamp3daysDwt120More
web_meta_pers: 149
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestampDays01Dwt30More
web_meta_pers: 150
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 30sec), f = 1 - 2^(-0.2 * value)
|
FadingEmbLogDtBigramsNormalizedDeltaTimestampDays01Dwt90Less
web_meta_pers: 151
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 90sec), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedDeltaTimestampDays01Dwt300More
web_meta_pers: 152
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 300sec), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedDeltaTimestampDays02Dwt600Less
web_meta_pers: 153
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.2days, dwelltime less than 600sec), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedDeltaTimestampDays03Dwt30More
web_meta_pers: 154
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.3days, dwelltime more than 30sec), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedDeltaTimestampDays03Dwt600More
web_meta_pers: 155
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.3days, dwelltime more than 600sec), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedDeltaTimestampDays300Dwt30Less
web_meta_pers: 156
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=300days, dwelltime less than 120sec DWT30), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp003days
web_meta_pers: 157
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.03days), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp12days
web_meta_pers: 158
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=1.2days), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp6days
web_meta_pers: 159
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=6days), f = 1 - 2^(-0.2 * value)
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FadingEmbLogDtBigramsNormalizedQueryDeltaTimestamp14days
web_meta_pers: 160
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=14days), f = 1 - 2^(-0.2 * value)
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FeaturesPersonalModelPers
web_rtmodels: 15
Features personal model pers predict
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FeaturesPersonalModelOdd
web_rtmodels: 16
Features personal model odd predict
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FeaturesPersonalModelTr
web_rtmodels: 17
Features personal model tr predict
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FeaturesPersonalModelSurplus
web_rtmodels: 18
Features personal model surplus predict
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