Tag: TG_PERS
(625 ranking factors)
Factors |
---|
PersLongImagesCTR
blender_production: 462
Personal image wizard CTR on long profile
|
PersLongImagesFRC
blender_production: 463
Personal image wizard FRC on long profile
|
PersLongImagesSatShows
blender_production: 464
Personal image wizard saturated shows on long profile
|
PersWeekImagesCTR
blender_production: 465
Personal image wizard CTR on week profile, deprecated in favor of FI_PERS_MAIN_IMAGES_CTR
|
PersWeekImagesFRC
blender_production: 466
Personal image wizard FRC on week profile, deprecated in favor of FI_PERS_MAIN_IMAGES_FRC
|
PersWeekImagesSatShows
blender_production: 467
Personal image wizard saturated shows on week profile, deprecated in favor of FI_PERS_MAIN_IMAGES_SAT_SHOWS
|
PersMainImagesCTR
blender_production: 471
Personal image wizard CTR on main profile
|
PersMainImagesFRC
blender_production: 472
Personal image wizard FRC on main profile
|
PersMainImagesSatShows
blender_production: 473
Personal image wizard saturated shows on main profile
|
PersMainImagesSatClicks
blender_production: 502
Personal image wizard saturated clicks on main profile
|
PersLongImagesSatClicks
blender_production: 503
Personal image wizard saturated clicks on long profile
|
PersMainVideoCTR
blender_production: 504
Personal video wizard CTR on main profile
|
PersMainVideoFRC
blender_production: 505
Personal video wizard FRC on main profile
|
PersMainVideoSatShows
blender_production: 506
Personal video wizard saturated shows on main profile
|
PersMainVideoSatClicks
blender_production: 507
Personal video wizard saturated clicks on main profile
|
PersLongVideoCTR
blender_production: 508
Personal video wizard CTR on long profile
|
PersLongVideoFRC
blender_production: 509
Personal video wizard FRC on long profile
|
PersLongVideoSatShows
blender_production: 510
Personal video wizard saturated shows on long profile
|
PersLongVideoSatClicks
blender_production: 511
Personal video wizard saturated clicks on long profile
|
PersMainMusicCTR
blender_production: 512
Personal musicplayer wizard CTR on main profile
|
PersMainMusicFRC
blender_production: 513
Personal musicplayer wizard FRC on main profile
|
PersMainMusicSatShows
blender_production: 514
Personal musicplayer wizard saturated shows on main profile
|
PersMainMusicSatClicks
blender_production: 515
Personal musicplayer wizard saturated clicks on main profile
|
PersLongMusicCTR
blender_production: 516
Personal musicplayer wizard CTR on long profile
|
PersLongMusicFRC
blender_production: 517
Personal musicplayer wizard FRC on long profile
|
PersLongMusicSatShows
blender_production: 518
Personal musicplayer wizard saturated shows on long profile
|
PersLongMusicSatClicks
blender_production: 519
Personal musicplayer wizard saturated clicks on long profile
|
PersMainAdresaCTR
blender_production: 520
Personal address wizard CTR on main profile
|
PersMainAdresaFRC
blender_production: 521
Personal address wizard FRC on main profile
|
PersMainAdresaSatShows
blender_production: 522
Personal address wizard saturated shows on main profile
|
PersMainAdresaSatClicks
blender_production: 523
Personal address wizard saturated clicks on main profile
|
PersLongAdresaCTR
blender_production: 524
Personal address wizard CTR on long profile
|
PersLongAdresaFRC
blender_production: 525
Personal address wizard FRC on long profile
|
PersLongAdresaSatShows
blender_production: 526
Personal address wizard saturated shows on long profile
|
PersLongAdresaSatClicks
blender_production: 527
Personal address wizard saturated clicks on long profile
|
PersMainNewsCTR
blender_production: 644
Personal news wizard CTR on main profile
|
PersMainNewsFRC
blender_production: 645
Personal news wizard FRC on main profile
|
PersMainNewsSatShows
blender_production: 646
Personal news wizard saturated shows on main profile
|
PersMainNewsSatClicks
blender_production: 647
Personal news wizard saturated clicks on main profile
|
PersLongNewsCTR
blender_production: 648
Personal news wizard CTR on long profile
|
PersLongNewsFRC
blender_production: 649
Personal news wizard FRC on long profile
|
PersLongNewsSatShows
blender_production: 650
Personal news wizard saturated shows on long profile
|
PersLongNewsSatClicks
blender_production: 651
Personal news wizard saturated clicks on long profile
|
UgcUserSerpFeedbackCount
blender_production: 1045
Number of user serp feedbacks in UGC DB
|
UgcUserFeedbackCount
blender_production: 1046
Number of user feedbacks in UGC DB
|
CryptaExistence
blender_production: 1099
Do we have crypta features for the user
|
CryptaMale
blender_production: 1100
probability of user is male
|
CryptaFemale
blender_production: 1101
probability of user is female
|
CryptaAge1
blender_production: 1102
probability of user age is in 1 category
|
CryptaAge2
blender_production: 1103
probability of user age is in 2 category
|
CryptaAge3
blender_production: 1104
probability of user age is in 3 category
|
CryptaAge4
blender_production: 1105
probability of user age is in 4 category
|
CryptaAge5
blender_production: 1106
probability of user age is in 5 category
|
CryptaAge6
blender_production: 1107
probability of user age is in 6 category
|
CryptaIncome1
blender_production: 1108
probability of user income is in 1 category
|
CryptaIncome2
blender_production: 1109
probability of user income is in 2 category
|
CryptaIncome3
blender_production: 1110
probability of user income is in 3 category
|
CryptaIncome4
blender_production: 1111
probability of user income is in 4 category
|
CryptaIncome5
blender_production: 1112
probability of user income is in 5 category
|
PersonalUserOid
geo_production: 262
Activity (shows+clicks+diplics) of the user in OID. Suspended
|
PersonalUserORG1
geo_production: 263
P+K+user DC in ORG1 Requests to TOP-1. Suspended
|
PersonalUserRubricQuery
geo_production: 264
P+K+user's DC in the Request section. Suspended
|
PersonalUserRubricDoc
geo_production: 265
P+K+DC user in the section of the document. Suspended
|
PersonalUserChainQuery
geo_production: 266
P+K+user DC in the network in the request. Suspended
|
PersonalUserChainDoc
geo_production: 267
P+K+DC user to the network of a document. Suspended
|
PersonalUserBYM
geo_production: 268
User activity in Byak. Weighed as well
|
PersonalUserMYM
geo_production: 269
User activity in the male. Weighed as well
|
PersonalUserNavi
geo_production: 270
User activity in Navi. Weighed as well
|
PersonalXFactorOID
geo_production: 271
xFactor collaborative filtering on OID
|
PersonalXFactorRubric
geo_production: 272
xFactor collaborative section
|
PersonalXFactorChain
geo_production: 273
xFactor collaborative filtering on the network
|
PersonalRubricClicks
geo_production: 274
P+K+DC user in the section of the document. Suspended for the popularity of the heading and prescription
|
CryptaGenderF
geo_recommendations: 6
Gender Female)
|
CryptaIncomeA
geo_recommendations: 7
Income (low)
|
CryptaIncomeB
geo_recommendations: 8
Income (average)
|
CryptaAge0_17
geo_recommendations: 9
Age (0-17)
|
CryptaAge18_24
geo_recommendations: 10
Age (18-24)
|
CryptaAge25_34
geo_recommendations: 11
Age (25-34)
|
CryptaAge35_44
geo_recommendations: 12
Age (35-44)
|
CryptaGenderFRubricM
geo_recommendations: 13
Female gender, men like men
|
CryptaGenderMRubricF
geo_recommendations: 14
Paul Male, Women Like the Category
|
CryptaGenderFRubricShoppingCentre
geo_recommendations: 15
Paul women, heading shopping center
|
CryptaIncomeAVeryHighCosts
geo_recommendations: 16
The income is low, the average check in the restaurant is very high
|
CryptaIncomeAHighCosts
geo_recommendations: 17
The income is low, the average check in the restaurant is high
|
CryptaIncomeBVeryHighCosts
geo_recommendations: 18
The income is average, the average check in the restaurant is very high
|
CryptaIncomeBHighCosts
geo_recommendations: 19
Medium income, average check in the restaurant is high
|
CryptaIncomeCLowCosts
geo_recommendations: 20
The income is high, the average check in the restaurant is low
|
CryptaAge45_99RubricGameClub
geo_recommendations: 21
Age 45-99, heading game club
|
CryptaAge45_99RubricAntiCafe
geo_recommendations: 22
Age 45-99, Rubrica Anticafe
|
CryptaAge45_99RubricNightCafe
geo_recommendations: 23
Age 45-99, Night Club Category
|
CryptaAge0_17RubricRestaurant
geo_recommendations: 24
Age 0-17, Restaurant Category
|
CryptaAge0_17RubricBarBub
geo_recommendations: 25
Age 0-17, Rubric bar, pub
|
CryptaAge0_17RubricHookah
geo_recommendations: 26
Age 0-17, headline
|
CryptaAge0_17RubricChild
geo_recommendations: 27
Age 0-17, the heading that children like
|
CryptaAge0_17RubricShoppingCentre
geo_recommendations: 28
Age 0-17, heading shopping center
|
CryptaAge0_17RubricTheatre
geo_recommendations: 29
Age 0-17, Category Theater
|
CryptaAge18_24RubricCinema
geo_recommendations: 30
Age 18-24, cinema section
|
CryptaAge25_34RubricCinema
geo_recommendations: 31
Age 25-34, cinema section
|
CryptaSegmentRubricTheatre
geo_recommendations: 32
Theaterups segment, Roll Theater/Music Club
|
CryptaSegmentRubricConcerts
geo_recommendations: 33
Section concerts, heading theater/music club
|
CryptaSegmentRubricTheatre2
geo_recommendations: 34
Theater Service 2, Category Theater/Music Club
|
CryptaSegmentRubricCinema
geo_recommendations: 35
Cinema segment, cinema section
|
CryptaSegmentRubricCinema2
geo_recommendations: 36
Cinema visitors segment, cinema section
|
CryptaSegmentRubricCinema3
geo_recommendations: 37
Segment buy tickets in KinoPoisk, cinema section
|
CryptaSegmentAsianFood
geo_recommendations: 38
Asian cuisine segment
|
CryptaSegmentItalianFood
geo_recommendations: 39
Segment Italian cuisine
|
CryptaSegmentCaucasianFood
geo_recommendations: 40
Caucasian cuisine segment
|
CryptaSegmentRussianFood
geo_recommendations: 41
Segment Russian cuisine
|
CryptaSegmentMiddleSeaFood
geo_recommendations: 42
Segment of the Mediterranean cuisine
|
CryptaSegmentFrenchFood
geo_recommendations: 43
The segment is French cuisine
|
CryptaSegmentJapanFood
geo_recommendations: 44
Japanese cuisine segment
|
CryptaSegmentRubricRestaurant
geo_recommendations: 45
The segment is visited by restaurants, a cafe section, restaurants ...
|
CryptaSegmentRubricClubber
geo_recommendations: 46
The segment is visited by clubs, a musical heading, a night club ...
|
CryptaSegmentRubricSport
geo_recommendations: 47
Sports segment, beach section, water park ...
|
CryptaSegmentRubricChildren
geo_recommendations: 48
Segment Children, Railway Zoo, Dolphinarium ...
|
CryptaBoost
geo_recommendations: 49
Total boost by crypt to factors
|
RecommendationsUserOid
geo_recommendations: 90
Activity (shows+clicks+diplics) of the user in OID. Suspended
|
RecommendationsUserORG1
geo_recommendations: 91
P+K+user DC in ORG1 Requests to TOP-1. Suspended
|
RecommendationsUserRubricQuery
geo_recommendations: 92
P+K+user's DC in the Request section. Suspended
|
RecommendationsUserRubricDoc
geo_recommendations: 93
P+K+DC user in the section of the document. Suspended
|
RecommendationsUserChainQuery
geo_recommendations: 94
P+K+user DC in the network in the request. Suspended
|
RecommendationsUserChainDoc
geo_recommendations: 95
P+K+DC user to the network of a document. Suspended
|
RecommendationsUserBYM
geo_recommendations: 96
User activity in Byak. Weighed as well
|
RecommendationsUserMYM
geo_recommendations: 97
User activity in the male. Weighed as well
|
RecommendationsUserNavi
geo_recommendations: 98
User activity in Navi. Weighed as well
|
RecommendationsXFactorOID
geo_recommendations: 99
xFactor collaborative filtering on OID
|
RecommendationsXFactorRubric
geo_recommendations: 100
xFactor collaborative section
|
RecommendationsXFactorChain
geo_recommendations: 101
xFactor collaborative filtering on the network
|
RecommendationsRubricClicks
geo_recommendations: 102
P+K+DC user in the section of the document. Suspended for the popularity of the heading and prescription
|
PersonalMMShows60Days
geo_recommendations_search_application: 14
Personal shows on Metrika Mobile for 60 days
|
PersonalMMClicks60Days
geo_recommendations_search_application: 15
Personal clicks on Metrika Mobile for 60 days
|
PersonalMMClicksPerShows60Days
geo_recommendations_search_application: 16
Personal CTR by Metrika Mobile for 60 days
|
PersonalUSShows60Days
geo_recommendations_search_application: 17
Personal shows for user sessions in 60 days
|
PersonalUSClicks60Days
geo_recommendations_search_application: 18
Personal clicks on the user sessions in 60 days
|
PersonalUSDeepClicks60Days
geo_recommendations_search_application: 19
Personal Deep Clicks on the user sessions in 60 days
|
PersonalUSClicksPerShows60Days
geo_recommendations_search_application: 20
Personal CTR for user sessions in 60 days
|
PersonalRubricMMShows60Days
geo_recommendations_search_application: 21
Personal shows of the heading on Metrika Mobile for 60 days
|
PersonalRubricMMClicks60Days
geo_recommendations_search_application: 22
Personal clicks of the heading on Metrika Mobile for 60 days
|
PersonalRubricMMClicksPerShows60Days
geo_recommendations_search_application: 23
Personal CTR headings for Metrika Mobile for 60 days
|
PersonalRubricUSShows60Days
geo_recommendations_search_application: 24
Personal shows of the heading of the user sessions in 60 days
|
PersonalRubricUSClicks60Days
geo_recommendations_search_application: 25
Personal clicks of the heading on the user sessions in 60 days
|
PersonalRubricUSDeepClicks60Days
geo_recommendations_search_application: 26
Personal Deep Clicks of the heading of the user sessions in 60 days
|
PersonalRubricUSClicksPerShows60Days
geo_recommendations_search_application: 27
Personal CTR section for user sessions in 60 days
|
PersonalRDShows60Days
geo_recommendations_touch: 12
Personal shows on Redir for 60 days
|
PersonalRDClicks60Days
geo_recommendations_touch: 13
Personal clicks on Redir for 60 days
|
PersonalRDClicksPerShows60Days
geo_recommendations_touch: 14
Personal CTR by Redir for 60 days
|
PersonalRubricRDShows60Days
geo_recommendations_touch: 15
Personal shows of Redir section for 60 days
|
PersonalRubricRDClicks60Days
geo_recommendations_touch: 16
Personal clicks on Redir for 60 days
|
PersonalRubricRDClicksPerShows60Days
geo_recommendations_touch: 17
Personal CTR rubrics for Redir for 60 days
|
PersonalRDShowsNoLL60Days
geo_recommendations_touch: 18
Personal shows on Redir without a coordinate in 60 days
|
PersonalRDClicksNoLL60Days
geo_recommendations_touch: 19
Personal clicks on Redir without coordinates in 60 days
|
PersonalRDClicksPerShowsNoLL60Days
geo_recommendations_touch: 20
Personal CTR by Redir without a coordinate in 60 days
|
PersonalRubricRDShowsNoLL60Days
geo_recommendations_touch: 21
Personal shows of Redir heading without coordinate in 60 days
|
PersonalRubricRDClicksNoLL60Days
geo_recommendations_touch: 22
Personal clicks on Redir Curricop without coordinate in 60 days
|
PersonalRubricRDClicksPerShowsNoLL60Days
geo_recommendations_touch: 23
Personal CTR rubrics for Redir without coordinate in 60 days
|
MaxWeightGender
geo_meta_personal: 0
The most likely floor of the user
|
WeighedGender
geo_meta_personal: 1
Weighted floor (waist) user
|
MaxWeightAge
geo_meta_personal: 2
The most likely age group of the user
|
WeighedAge
geo_meta_personal: 3
Weighted age group (waist) of the user
|
MaxWeightIncome
geo_meta_personal: 4
The most likely user income category
|
WeighedIncome
geo_meta_personal: 5
Weighted category of income (waist) user
|
GeoPersonalScoreValue
geo_meta_personal: 6
Personal Skir Organization for the User
|
PersonalOidDiscountedVisits
geo_recommendations_orgvisits: 22
The number of visits discounted as well, personal
|
PersonalOidStdVisitRecentness
geo_recommendations_orgvisits: 23
Discharging of the statute of limitations, personal
|
PersonalOidMinRecentness
geo_recommendations_orgvisits: 24
Minimum limitation of visits, personal
|
PersonalOidMaxDuration
geo_recommendations_orgvisits: 25
Maximum duration of visits, personal
|
PersonalOidDurationVariation
geo_recommendations_orgvisits: 26
Variation of the duration of visits, personal
|
PersonalOidInverseDiscountedVisits
geo_recommendations_orgvisits: 27
The number of visits, back discounted as well, personal
|
PersonalRubricDiscountedVisits
geo_recommendations_orgvisits: 28
The number of visits discounted as well, personal, for the heading
|
PersonalRubricStdVisitRecentness
geo_recommendations_orgvisits: 29
Discharging of the statute of limitations, personal, for the heading
|
PersonalRubricMinRecentness
geo_recommendations_orgvisits: 30
Minimum limitation of visits, personal, for the heading
|
PersonalRubricMaxDuration
geo_recommendations_orgvisits: 31
Maximum duration of visits, personal, for the heading
|
PersonalRubricDurationVariation
geo_recommendations_orgvisits: 32
Variation of the duration of visits, personal, for the heading
|
PersonalRubricInverseDiscountedVisits
geo_recommendations_orgvisits: 33
The number of visits, back discounted, limited, personal, for the heading
|
MaxD30Long
personalization: 0
Max cosine similarity between document and user history with clicks dwelltime > 30sec, by realtime user_history
|
MaxD60Long
personalization: 1
Max cosine similarity between document and user history with clicks dwelltime > 60sec, by realtime user_history
|
MaxD120Long
personalization: 2
Max cosine similarity between document and user history with clicks dwelltime > 120sec, by realtime user_history
|
MaxD180Long
personalization: 3
Max cosine similarity between document and user history with clicks dwelltime > 180sec, by realtime user_history
|
MaxD360Long
personalization: 4
Max cosine similarity between document and user history with clicks dwelltime > 360sec, by realtime user_history
|
MaxD30Short
personalization: 5
Max cosine similarity between document and user history with clicks dwelltime <= 30sec, by realtime user_history
|
MaxD60Short
personalization: 6
Max cosine similarity between document and user history with clicks dwelltime <= 60sec, by realtime user_history
|
MaxD120Short
personalization: 7
Max cosine similarity between document and user history with clicks dwelltime <= 120sec, by realtime user_history
|
MaxD180Short
personalization: 8
Max cosine similarity between document and user history with clicks dwelltime <= 180sec, by realtime user_history
|
MaxD360Short
personalization: 9
Max cosine similarity between document and user history with clicks dwelltime <= 360sec, by realtime user_history
|
TopavgS5D30Long
personalization: 10
Avg by top-5 maximum cosine similarity between document and user history with clicks dwelltime > 30sec, by realtime user_history
|
TopavgS5D60Long
personalization: 11
Avg by top-5 maximum cosine similarity between document and user history with clicks dwelltime > 60sec, by realtime user_history
|
TopavgS5D120Long
personalization: 12
Avg by top-5 maximum cosine similarity between document and user history with clicks dwelltime > 120sec, by realtime user_history
|
TopavgS5D180Long
personalization: 13
Avg by top-5 maximum cosine similarity between document and user history with clicks dwelltime > 180sec, by realtime user_history
|
TopavgS5D360Long
personalization: 14
Avg by top-5 maximum cosine similarity between document and user history with clicks dwelltime > 360sec, by realtime user_history
|
TopavgS10D30Long
personalization: 15
Avg by top-10 maximum cosine similarity between document and user history with clicks dwelltime > 30sec, by realtime user_history
|
TopavgS10D60Long
personalization: 16
Avg by top-10 maximum cosine similarity between document and user history with clicks dwelltime > 60sec, by realtime user_history
|
TopavgS10D120Long
personalization: 17
Avg by top-10 maximum cosine similarity between document and user history with clicks dwelltime > 120sec, by realtime user_history
|
TopavgS10D180Long
personalization: 18
Avg by top-10 maximum cosine similarity between document and user history with clicks dwelltime > 180sec, by realtime user_history
|
TopavgS10D360Long
personalization: 19
Avg by top-10 maximum cosine similarity between document and user history with clicks dwelltime > 360sec, by realtime user_history
|
TopavgS15D30Long
personalization: 20
Avg by top-15 maximum cosine similarity between document and user history with clicks dwelltime > 30sec, by realtime user_history
|
TopavgS15D60Long
personalization: 21
Avg by top-15 maximum cosine similarity between document and user history with clicks dwelltime > 60sec, by realtime user_history
|
TopavgS15D120Long
personalization: 22
Avg by top-15 maximum cosine similarity between document and user history with clicks dwelltime > 120sec, by realtime user_history
|
TopavgS15D180Long
personalization: 23
Avg by top-15 maximum cosine similarity between document and user history with clicks dwelltime > 180sec, by realtime user_history
|
TopavgS15D360Long
personalization: 24
Avg by top-15 maximum cosine similarity between document and user history with clicks dwelltime > 360sec, by realtime user_history
|
UserClicksLong
personalization: 32
Saturated TotalClicks by long user_profiles
|
UserClicksRt
personalization: 33
Saturated TotalClicks by realtime user_profiles
|
ClicksForFirstQRealtime
personalization: 34
Saturated clicks on first query in history, by realtime user_actions
|
ClicksForPrevQRealtime
personalization: 35
Saturated clicks on previous query in history, by realtime user_actions
|
SessionClicksCountRealtime
personalization: 42
Saturated number of clicks in session by realtime user_actions
|
SessionRequestsCountRealtime
personalization: 43
Saturated number of requests in session by realtime user_actions
|
UserIntermediateClicksLong
personalization: 44
Saturated number of long clicks which are not last in session by long user_profile
|
UserIntermediateClicksRt
personalization: 45
Saturated number of long clicks which are not last in session by realtime user_profile
|
UserFinalClicksLong
personalization: 46
Saturated number of last clicks in session by long user_profile
|
InverseUserQueryTopicCountRt
personalization: 54
Inverted number of queries with the same topic by realtime user_profiles
|
InverseUserQueryClickedTopicCountRt
personalization: 56
Inverted number of clicked queries with the same topic by realtime user_profiles
|
HostClicksByUserLong
personalization: 59
Saturated number of user clicks on host by long user_profiles
|
HostClicksByUserRt
personalization: 61
Saturated number of user clicks on host by realtime user_profiles
|
HostClicksWithTimeDiscountLong
personalization: 64
Sum of time discounted user clicks on host by long user_profiles
|
HostClicksWithTimeDiscountRt
personalization: 66
Sum of time discounted user clicks on host by realtime user_profiles
|
HostClickedForFirstQRealtime
personalization: 67
Host was clicked on first query in session by realtime user_actions
|
HostShownForFirstQRealtime
personalization: 68
Host was shown on first query in session by realtime user_actions
|
InvertedHostPosForFirstQRealtime
personalization: 69
Inverted position of host on first query in session by realtime user_actions
|
HostClickedForPrevQRealtime
personalization: 70
Host was clicked on previous query in session by realtime user_actions
|
HostShownForPrevQRealtime
personalization: 71
Host was shown on first query in session by realtime user_actions
|
InvertedHostPosForPrevQRealtime
personalization: 72
Inverted position of host on previous query in session by realtime user_actions
|
QIsSameAsPrevQRealtime
personalization: 74
Normalized query equals to previous one in session by realtime user_actions
|
UserHostCctrRt
personalization: 118
CCTR(clicks[host], shows[host]), rt user_profiles
|
UserHostCtrWithTimeDiscountRt
personalization: 121
CTR(clicks[host], shows[host]) with time discount (1 / (1 + dt) for every click/skip where dt = days between now and click/skip), rt user_profiles
|
HostIntermediateClicksLong
personalization: 123
Sat(clicks[host] without short clicks and last-in-session clicks), long user_profiles
|
HostIntermediateClicksRt
personalization: 126
Sat(clicks[host] without short clicks and last-in-session clicks), rt user_profiles
|
UserQhashHostCctrLong
personalization: 130
CCTR(clicks[query-host], shows[query-host]) by long user_profiles
|
UserQhashHostCctrRt
personalization: 132
CCTR(clicks[query-host], shows[query-host]) by rt user_profiles
|
UserQhashHostClicksRt
personalization: 135
Sat(clicks[query-host]) by rt user_profiles
|
HostFinalClicksLong
personalization: 139
Saturated final host clicks by long user_profiles
|
HostFinalClicksRt
personalization: 142
Saturated final host clicks by rt user_profiles
|
HostDwelltimeAtPrevQFixedRealtime
personalization: 149
hostDwelltime / (hostDwelltime + 60), realtime user_actions
|
HostIntermediateClicksWithTimeDiscountLong
personalization: 151
Sat(clicks[host] without short clicks and last-in-session clicks) with time discount (1 / (1 + dt) where dt = days between now and click), long user_profiles
|
HostIntermediateClicksWithTimeDiscountRt
personalization: 154
Sat(clicks[host] without short clicks and last-in-session clicks) with time discount (1 / (1 + dt) where dt = days between now and click), rt user_profiles
|
HostFinalClicksWithTimeDiscountLong
personalization: 156
Saturated host final clicks with time discount (1 / (1 + dt) where dt = days between now and click) by long user_profiles
|
HostFinalClicksWithTimeDiscountRt
personalization: 159
Saturated host final clicks with time discount (1 / (1 + dt) where dt = days between now and click) by rt user_profiles
|
HostLongClicksLong
personalization: 161
Sat(long clicks[host]), long user_profiles
|
HostLongClicksRt
personalization: 164
Sat(long clicks[host]), rt user_profiles
|
HostLongClicksWithTimeDiscountLong
personalization: 166
Sat(long clicks[host]) with time discount (1 / (1 + dt) where dt = days between now and click), long user_profiles
|
HostLongClicksWithTimeDiscountRt
personalization: 169
Sat(long clicks[host]) with time discount (1 / (1 + dt) where dt = days between now and click), rt user_profiles
|
UserHostCctr2Rt
personalization: 172
CCTR2(clicks[host], shows[host]), rt user_profiles
|
UserQhashHostCctr2Long
personalization: 174
CCTR2(clicks[query-host], shows[query-host]) by long user_profiles
|
UserQhashHostCctr2Rt
personalization: 176
CCTR2(clicks[query-host], shows[query-host]) by rt user_profiles
|
UserDocposCctr2Long
personalization: 178
CCTR2(clicks[pos], skips[pos]) by long user_profiles
|
UserDocposCctr2Rt
personalization: 179
CCTR2(clicks[pos], skips[pos]) by realtime user_profiles
|
UserHostTopicShowsFractionRt
personalization: 182
HostTopicShows to HostShows fraction by realtime user_profiles
|
UserHostTopicClicksFractionRt
personalization: 184
HostTopicClicks to HostClicks fraction by realtime user_profiles
|
UserHostTopicCtrRt
personalization: 186
HostTopicClicks to HostTopicShows fraction by realtime user_profiles
|
UserQhashHostFinalClicksLong
personalization: 188
Saturated final clicks for query-host pair by long user_profiles
|
UserQhashHostFinalClicksRt
personalization: 189
Saturated final clicks for query-host pair by realtime user_profiles
|
UserQhashHostCtrLong
personalization: 191
CTR(clicks[query-host], shows[query-host]) by long user_profiles
|
UserQhashHostCtrRt
personalization: 192
CTR(clicks[query-host], shows[query-host]) by realtime user_profiles
|
UserUrlCtrLong
personalization: 194
CTR(clicks[url], shows[url]) by long user_profiles
|
UserUrlCtrRt
personalization: 196
CTR(clicks[url], shows[url]) by realtime user_profiles
|
UserUrlCctrRt
personalization: 198
CCTR(clicks[url], shows[url]) by realtime user_profiles
|
UserUrlCctr2Long
personalization: 200
CCTR2(clicks[url], shows[url]) by long user_profiles
|
UserUrlCctr2Rt
personalization: 202
CCTR2(clicks[url], shows[url]) by realtime user_profiles
|
UserUrlFinalClicksLong
personalization: 204
Saturated final clicks for url by long user_profiles
|
UserUrlFinalClicksRt
personalization: 206
Saturated final clicks for url by realtime user_profiles
|
UserUrlClicksLong
personalization: 208
Saturated clicks for url by long user_profiles
|
UserUrlClicksRt
personalization: 210
Saturated clicks for url by realtime user_profiles
|
UserQurlCtrLong
personalization: 216
CTR(clicks[query-url], shows[query-url]) by long user_profiles
|
UserQurlCtrRt
personalization: 217
CTR(clicks[query-url], shows[query-url]) by realtime user_profiles
|
UserQurlCctrRt
personalization: 218
CCTR(clicks[query-url], shows[query-url]) by realtime user_profiles
|
UserQurlCctr2Long
personalization: 220
CCTR2(clicks[query-url], shows[query-url]) by long user_profiles
|
UserQurlCctr2Rt
personalization: 221
CCTR2(clicks[query-url], shows[query-url]) by realtime user_profiles
|
UserQurlFinalClicksLong
personalization: 223
Saturated final clicks for query-url by long user_profiles
|
UserQurlFinalClicksRt
personalization: 224
Saturated final clicks for query-url by realtime user_profiles
|
UserQurlClicksLong
personalization: 226
Saturated clicks for query-url by long user_profiles
|
UserQurlClicksRt
personalization: 227
Saturated clicks for query-url by realtime user_profiles
|
HostFullSatisfactionClicksLong
personalization: 232
Saturated number of single clicks per request for host by long user_profiles
|
HostFullSatisfactionClicksRt
personalization: 234
Saturated number of single clicks per request for host by realtime user_profiles
|
HostFullSatisfactionClicksWithTimeDiscountLong
personalization: 236
Sum of 1 / (1 + dt), where dt = days between now and single click per request for host by long user_profiles
|
HostFullSatisfactionClicksWithTimeDiscountRt
personalization: 238
Sum of 1 / (1 + dt), where dt = days between now and single click per request for host by realtime user_profiles
|
TimeBetweenPrevAndCurQRealtime
personalization: 257
Normalized time between previous and current requests by realtime user_actions
|
SessionLengthRealtime
personalization: 258
Normalized time between first and current requests by realtime user_actions
|
UserUrlThreshold30Decay30Prior0
rapid_pers_clicks: 0
|
UserUrlThreshold30Decay30Prior05
rapid_pers_clicks: 1
|
UserUrlThreshold30Decay30Prior1
rapid_pers_clicks: 2
|
UserUrlWinsFRCThreshold30Decay30
rapid_pers_clicks: 3
|
UserUrlWinsFRCThreshold120Decay3
rapid_pers_clicks: 4
|
UserUrlThreshold120Decay30Prior0
rapid_pers_clicks: 5
|
UserUrlThreshold120Decay30Prior05
rapid_pers_clicks: 6
|
UserUrlWinsFRCThreshold120Decay30
rapid_pers_clicks: 7
|
UserUrlThreshold5Decay30Prior0
rapid_pers_clicks: 8
|
UserUrlThreshold5Decay30Prior05
rapid_pers_clicks: 9
|
UserUrlThreshold5Decay30Prior1
rapid_pers_clicks: 10
|
UserUrlLog5Decay30Prior0
rapid_pers_clicks: 11
|
UserUrlLog5Decay30Prior05
rapid_pers_clicks: 12
|
UserUrlLog5Decay30Prior1
rapid_pers_clicks: 13
|
UserUrlWinsFRCLog5Decay30
rapid_pers_clicks: 14
|
UserUrlLossesFRCLog5Decay30
rapid_pers_clicks: 15
|
UserUrlLog300Decay30Prior0
rapid_pers_clicks: 16
|
UserUrlWinsFRCLog300Decay30
rapid_pers_clicks: 17
|
UserUrlWinsFRCClickwiseLog60Decay30
rapid_pers_clicks: 18
|
UserHostLossesFRCThreshold30Decay3
rapid_pers_clicks: 19
|
UserHostThreshold30Decay30Prior0
rapid_pers_clicks: 20
|
UserHostThreshold30Decay30Prior05
rapid_pers_clicks: 21
|
UserHostWinsFRCThreshold30Decay30
rapid_pers_clicks: 22
|
UserHostThreshold120Decay3Prior0
rapid_pers_clicks: 23
|
UserHostThreshold120Decay3Prior05
rapid_pers_clicks: 24
|
UserHostLossesFRCThreshold120Decay3
rapid_pers_clicks: 25
|
UserHostThreshold120Decay30Prior0
rapid_pers_clicks: 26
|
UserHostThreshold120Decay30Prior05
rapid_pers_clicks: 27
|
UserHostWinsFRCThreshold120Decay30
rapid_pers_clicks: 28
|
UserHostThreshold5Decay30Prior0
rapid_pers_clicks: 29
|
UserHostThreshold5Decay30Prior05
rapid_pers_clicks: 30
|
UserHostWinsFRCThreshold5Decay30
rapid_pers_clicks: 31
|
UserHostLog5Decay30Prior0
rapid_pers_clicks: 32
|
UserHostLog5Decay30Prior05
rapid_pers_clicks: 33
|
UserHostLog5Decay30Prior1
rapid_pers_clicks: 34
|
UserHostWinsFRCLog5Decay30
rapid_pers_clicks: 35
|
UserHostLog300Decay30Prior0
rapid_pers_clicks: 36
|
UserHostWinsFRCLog300Decay30
rapid_pers_clicks: 37
|
UserHostLossesFRCClickwiseLog60Decay30
rapid_pers_clicks: 38
|
UserUrlCCTRThreshold1Decay30
rapid_pers_clicks: 39
|
UserUrlCCTRThreshold120Decay30
rapid_pers_clicks: 40
|
UserUrlCCTRThreshold300Decay30
rapid_pers_clicks: 41
|
UserUrlClicksThreshold1Decay30
rapid_pers_clicks: 42
|
UserUrlClicksThreshold120Decay30
rapid_pers_clicks: 43
|
UserUrlClicksThreshold300Decay30
rapid_pers_clicks: 44
|
UserUrlClicksFRCThreshold1Decay30
rapid_pers_clicks: 45
|
UserUrlClicksFRCThreshold120Decay30
rapid_pers_clicks: 46
|
UserUrlClicksFRCThreshold300Decay30
rapid_pers_clicks: 47
|
UserHostCCTRThreshold1Decay30
rapid_pers_clicks: 48
|
UserHostCCTRThreshold120Decay30
rapid_pers_clicks: 49
|
UserHostCCTRThreshold300Decay30
rapid_pers_clicks: 50
|
UserHostClicksThreshold1Decay30
rapid_pers_clicks: 51
|
UserHostClicksThreshold120Decay30
rapid_pers_clicks: 52
|
UserHostClicksThreshold300Decay30
rapid_pers_clicks: 53
|
UserHostClicksFRCThreshold1Decay30
rapid_pers_clicks: 54
|
UserHostClicksFRCThreshold120Decay30
rapid_pers_clicks: 55
|
UserHostClicksFRCThreshold300Decay30
rapid_pers_clicks: 56
|
UserCCTRThreshold1Decay30
rapid_pers_clicks: 57
|
UserCCTRThreshold120Decay30
rapid_pers_clicks: 58
|
UserCCTRThreshold300Decay30
rapid_pers_clicks: 59
|
UserClicksThreshold1Decay30
rapid_pers_clicks: 60
|
UserClicksThreshold120Decay30
rapid_pers_clicks: 61
|
UserClicksThreshold300Decay30
rapid_pers_clicks: 62
|
UserWinsThreshold30Decay3XWinsThreshold30Decay30
rapid_pers_clicks: 63
|
UserWinsThreshold120Decay3XWinsThreshold120Decay30
rapid_pers_clicks: 64
|
UserWinsThreshold120Decay3XWinsThreshold30Decay3
rapid_pers_clicks: 65
|
UserWinsThreshold120Decay30XWinsThreshold5Decay30
rapid_pers_clicks: 66
|
UserWinsThreshold120Decay30XWinsThreshold30Decay30
rapid_pers_clicks: 67
|
UserWinsThreshold30Decay30XWinsThreshold5Decay30
rapid_pers_clicks: 68
|
UserWinsLog300Decay30XWinsLog5Decay30
rapid_pers_clicks: 69
|
UserUrlWinsThreshold30Decay3XWinsThreshold30Decay30
rapid_pers_clicks: 70
|
UserUrlWinsThreshold120Decay3XWinsThreshold120Decay30
rapid_pers_clicks: 71
|
UserUrlWinsThreshold120Decay30XWinsThreshold5Decay30
rapid_pers_clicks: 72
|
UserUrlWinsLog300Decay30XWinsLog5Decay30
rapid_pers_clicks: 73
|
UserHostWinsThreshold120Decay30XWinsThreshold5Decay30
rapid_pers_clicks: 74
|
UserHostWinsLog300Decay30XWinsLog5Decay30
rapid_pers_clicks: 75
|
UserClicksOdd01Decay30
rapid_pers_clicks: 76
|
UserClicksOdd01Decay30XClicksThreshold1Decay30
rapid_pers_clicks: 77
|
UserClicksOdd02Decay30
rapid_pers_clicks: 78
|
UserClicksOdd02Decay30XClicksThreshold1Decay30
rapid_pers_clicks: 79
|
UserHostClicksOdd09Decay30
rapid_pers_clicks: 80
|
UserHostClicksOdd09Decay30XClicksThreshold1Decay30
rapid_pers_clicks: 81
|
UserHostClicksOdd01Decay30XClicksThreshold1Decay30
rapid_pers_clicks: 82
|
UserHostClicksThreshold120Decay30XClicksThreshold1Decay30
rapid_pers_clicks: 83
|
UserHostClicksThreshold300Decay30XClicksThreshold1Decay30
rapid_pers_clicks: 84
|
UserUrlClicksThreshold300Decay30XClicksThreshold1Decay30
rapid_pers_clicks: 85
|
UserUrlClicksThreshold120Decay30XClicksThreshold1Decay30
rapid_pers_clicks: 86
|
UserHostClicksDwelltime600Decay30XClicksThreshold1Decay30
rapid_pers_clicks: 87
|
UserUrlClicksDwelltime600Decay30XClicksThreshold1Decay30
rapid_pers_clicks: 88
|
UserHostClicksOdd02Decay30XClicksThreshold1Decay30
rapid_pers_clicks: 89
|
CryptaAdHocActionMovieLoverProbabilitySegment
video_pers: 0
Crypt. Lal: Fans of militants. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocAndroidPadUserProbabilitySegment
video_pers: 1
Crypt. Lal: users of Android tablets. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocAndroidSmartphoneUserProbabilitySegment
video_pers: 2
Crypt. LAL: users of Android smartphones. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocAndroidUserProbabilitySegment
video_pers: 3
Crypt. Lal: Android users. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocAutoInterest
video_pers: 4
Crypt. Auto. Interest. Adhoc Keyword.
|
CryptaAdHocCoffeeLoverProbabilitySegment
video_pers: 5
Crypt. Lal: Coffeemen. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocEstateInterest
video_pers: 6
Crypt. Real estate. Interest. ADHOC Keyword.
|
CryptaAdHocFantasticLoverProbabilitySegment
video_pers: 7
Crypt. Lal: fans of fantasy. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocGoingToBuyAutoWithCostFrom2MillionProbabilitySegment
video_pers: 8
Crypt. LAL: They plan to buy a car more than 2 million rubles. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocHiTechInterest
video_pers: 9
Crypt. Hi Tech. Interest. Adhoc Keyword.
|
CryptaAdHocHitechAndInternetInterest
video_pers: 10
Crypt. Hi Tech and the Internet. Interest. ADHOC Keyword.
|
CryptaAdHocIpadUserProbabilitySegment
video_pers: 11
Crypt. LAL: iPad users. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocIphoneUserProbabilitySegment
video_pers: 12
Crypt. LAL: iPhone users. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocLightTvViewersProbabilitySegment
video_pers: 13
Crypt. Light TV Viewers. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocLoyalityHeuristicSegment
video_pers: 14
Crypt. Loyalty. Heuristic segment. ADHOC Keyword.
|
CryptaAdHocMovieInterest
video_pers: 15
Crypt. Movie. Interest. ADHOC Keyword.
|
CryptaAdHocSamsungPadUserProbabilitySegment
video_pers: 16
Crypt. LAL: Samsung tablets users. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocSamsungSmartphoneUserProbabilitySegment
video_pers: 17
Crypt. LAL: Samsung smartphones users. Probabilistic segment. ADHOC Keyword.
|
CryptaAdHocSummerSportInterest
video_pers: 18
Crypt. Summer sports. Interest. ADHOC Keyword.
|
CryptaAdHocTourismInterest
video_pers: 19
Crypt. Tourism. Interest. ADHOC Keyword.
|
CryptaAdHocToursInterest
video_pers: 20
Crypt. Tours and excursions. Interest. ADHOC Keyword.
|
CryptaFemaleGender
video_pers: 21
Crypt. Female.
|
CryptaFrom18To25Age
video_pers: 22
Crypt. Warbrast from 18 to 24.
|
CryptaFrom25To35Age
video_pers: 23
Crypt. Vozrast from 25 to 34.
|
CryptaFrom35To45Age
video_pers: 24
Crypt. Resurns from 35 to 44.
|
CryptaFrom45Age
video_pers: 25
Crypt. The age is greater or equal to 45.
|
CryptaHighRevenue
video_pers: 26
Crypt. High income.
|
CryptaLowRevenue
video_pers: 27
Crypt. Low income.
|
CryptaMaleGender
video_pers: 28
Crypt. Male gender.
|
CryptaMidRevenue
video_pers: 29
Crypt. Average income.
|
CryptaTo18Age
video_pers: 30
Crypt. Age does not exceed 17.
|
MetaWeeklyUrlClickedByUser
video_pers: 31
Whether the user was closed in Urlu in the last week.
|
IsLastDeepViewedHost
video_pers: 32
The last deeply viewed host user.
|
IsLastDeepViewedHostSameSerial
video_pers: 33
The last deeply viewed host from the series from the request.
|
IsLastDeepViewedHostAnySerial
video_pers: 34
The last deeply viewed host for any series.
|
IsLastDeepViewedPornoHost
video_pers: 35
The host of the last deeply viewed porn document.
|
MetaWeeklyUrlClickedByUserWithPuid
video_experimental: 1
Whether the user was closed in Urlu in the last week. Data on Yandexuid and Puid.
|
IsLastDeepViewedHostWithPuid
video_experimental: 3
The last deeply viewed host user. Data on Yandexuid and Puid.
|
IsLastDeepViewedHostSameSerialWithPuid
video_experimental: 4
The last deeply viewed host from the series from the request. Data on Yandexuid and Puid.
|
IsLastDeepViewedHostAnySerialWithPuid
video_experimental: 7
The last deeply viewed host for any series. Data on Yandexuid and Puid.
|
IsLastDeepViewedPornoHostWithPuid
video_experimental: 8
The host of the last deeply viewed porn document. Data on Yandexuid and Puid.
|
MetaWebDssmLogDtBigramDoc50MaxD30Short
video_experimental: 9
The maximum cosine of the current document with documents from history closed shorter than 30 seconds
|
MetaWebDssmLogDtBigramDoc50MaxD180Long
video_experimental: 10
The maximum cosine of the current document with documents from history, clicks longer than 180 seconds
|
MetaWebDssmLogDtBigramDoc50MaxD30Long
video_experimental: 11
The maximum cosine of the current document with documents from history, clicks longer than 30 seconds
|
FadingEmbLogDwelltimeBigramsDoc01daysDwt120LessUserHistory
web_meta_itditp: 160
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc01daysDwt120MoreUserHistory
web_meta_itditp: 161
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc05daysDwt120LessUserHistory
web_meta_itditp: 162
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc05daysDwt120MoreUserHistory
web_meta_itditp: 163
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc3daysDwt120LessUserHistory
web_meta_itditp: 164
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc3daysDwt120MoreUserHistory
web_meta_itditp: 165
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120LessUserHistory
web_meta_itditp: 166
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120MoreUserHistory
web_meta_itditp: 167
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120LessUserHistory
web_meta_itditp: 168
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120MoreUserHistory
web_meta_itditp: 169
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120LessUserHistory
web_meta_itditp: 170
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120MoreUserHistory
web_meta_itditp: 171
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc01daysDwt120LessSpyLog
web_meta_itditp: 172
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc01daysDwt120MoreSpyLog
web_meta_itditp: 173
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc05daysDwt120LessSpyLog
web_meta_itditp: 174
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc05daysDwt120MoreSpyLog
web_meta_itditp: 175
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc3daysDwt120LessSpyLog
web_meta_itditp: 176
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc3daysDwt120MoreSpyLog
web_meta_itditp: 177
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120LessSpyLog
web_meta_itditp: 178
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120MoreSpyLog
web_meta_itditp: 179
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120LessSpyLog
web_meta_itditp: 180
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120MoreSpyLog
web_meta_itditp: 181
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120LessSpyLog
web_meta_itditp: 182
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120MoreSpyLog
web_meta_itditp: 183
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc01daysDwt120LessWatchLog
web_meta_itditp: 184
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc01daysDwt120MoreWatchLog
web_meta_itditp: 185
Cosine similarity between document and fading embedding of documents from RTMR user_history (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
|
FadingEmbLogDwelltimeBigramsDoc05daysDwt120LessWatchLog
web_meta_itditp: 186
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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FadingEmbLogDwelltimeBigramsDoc05daysDwt120MoreWatchLog
web_meta_itditp: 187
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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FadingEmbLogDwelltimeBigramsDoc3daysDwt120LessWatchLog
web_meta_itditp: 188
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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FadingEmbLogDwelltimeBigramsDoc3daysDwt120MoreWatchLog
web_meta_itditp: 189
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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FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120LessWatchLog
web_meta_itditp: 190
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp01daysDwt120MoreWatchLog
web_meta_itditp: 191
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120LessWatchLog
web_meta_itditp: 192
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp05daysDwt120MoreWatchLog
web_meta_itditp: 193
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.5days, dwelltime more than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120LessWatchLog
web_meta_itditp: 194
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime less than 120sec)
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FadingEmbLogDwelltimeBigramsDeltaTimestamp3daysDwt120MoreWatchLog
web_meta_itditp: 195
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=3days, dwelltime more than 120sec)
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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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DifferentTrigramsCountPrevQCurQRealtime
web_meta_pers: 6
Saturated number of different trigrams for current and previous query by realtime user_actions
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DifferentWordsCountPrevQCurQRealtime
web_meta_pers: 7
Saturated number of different words in current and previous query by realtime user_actions
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CurQSessionMatchingTrigramsRealtime
web_meta_pers: 8
Sat(MatchingTrigramsAmount(current request, user requests)), realtime user_actions
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CurQSessionBm25FixedRealtime
web_meta_pers: 9
Sat(BM25(current query, user requests)) by realtime user_actions
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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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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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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)
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QIsSameAsPrevQRealtime
web_meta_pers: 36
Normalized query equals to previous one in session by realtime user_actions
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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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TimeBetweenPrevAndCurQ
web_meta_pers: 43
Saturated time between current and previous query
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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)
|
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)
|
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)
|
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)
|
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)
|
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)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays01Dwt30More
web_meta_pers: 81
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 30sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays01Dwt90Less
web_meta_pers: 82
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime less than 90sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays01Dwt300More
web_meta_pers: 83
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.1days, dwelltime more than 300sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays02Dwt600Less
web_meta_pers: 84
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.2days, dwelltime less than 600sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays03Dwt30More
web_meta_pers: 85
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.3days, dwelltime more than 30sec)
|
FadingEmbLogDwelltimeBigramsDeltaTimestampDays03Dwt600More
web_meta_pers: 86
fadingEmbedding.Norm * CalcFading(fadingEmbedding.FadingCoef, requestTimestamp - fadingEmbedding.LastUpdTimestamp), (model=LogDwellTimeBigrams, fadingCoef=0.3days, dwelltime more than 600sec)
|
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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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)
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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)
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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()]
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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()]
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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)
|
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)
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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)
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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)
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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])
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ClustEmbLogDtBigramsDocDwt120MoreWeights0AllMaxscore
web_meta_pers: 97
Take clustered embeddings (long clicks), Calc dot products with doc embedding, f = Max(DotProduct)
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ClustEmbLogDtBigramsDocDwt120MoreWeights0AllMaxScorexweight
web_meta_pers: 98
Take clustered embeddings (long clicks), Calc dot products with doc embedding, f = AVG(DotProduct[i] * Weight[i])
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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)
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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)
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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()]
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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()]
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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)
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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])
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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)
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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()]
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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)
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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()]
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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])
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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)
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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)
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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])
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CommonWordsCountPrevQCurQRealtime
web_meta_pers: 113
Saturated number of common words in current and previous query
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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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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])
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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)
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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)]
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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)
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ClustEmbLogDtBigramsQueryWeights5LessMinscore
web_meta_pers: 125
Take clustered embeddings (query embeddings, weights less than 5), Calc dot product with query embedding, f = MIN(DotProducts)
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ClustEmbLogDtBigramsQueryWeights10LessMaxscore
web_meta_pers: 126
Take clustered embeddings (query embeddings, weights less than 10), Calc dot product with query embedding, f = MAX(DotProducts)
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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])
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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)
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ClustEmbLogDtBigramsQueryAllWeightsMaxScoreXWeight
web_meta_pers: 129
Take clustered embeddings (query embeddings, all weights), Calc dot product with query embedding, f = MAX(Score[i] * Weights[i])
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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)]
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ClustEmbLogDtBigramsQueryXDocWeights3LessMinscore
web_meta_pers: 131
Take clustered embeddings (query embeddings, weights less than 3), Calc dot product with doc embedding, f = MIN(DotProducts)
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ClustEmbLogDtBigramsQueryXDocWeights5LessMinscore
web_meta_pers: 132
Take clustered embeddings (query embeddings, weights less than 5), Calc dot product with doc embedding, f = MIN(DotProducts)
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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)
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ClustEmbLogDtBigramsQueryXDocAllWeightsMaxScoreXWeight
web_meta_pers: 134
Take clustered embeddings (query embeddings, all weights), Calc dot product with doc embedding, f = MAX(Score[i] * Weights[i])
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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)
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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)
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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)
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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)
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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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NnOverRapidClicksFeaturesFormulaOddPrediction
web_production_formula_features: 3
ODD target DSSM on top 200 catboost fstr features
|
NnOverRapidClicksFeaturesFormulaKosherLogPrediction
web_production_formula_features: 4
Log DT target DSSM on top 200 catboost fstr features
|
SearchOddRealTimeTrainingDssm
web_rtmodels: 0
RealTimeTraining Dssm trained on odd target
|
SearchPersRealTimeTrainingDssm
web_rtmodels: 1
RealTimeTraining Dssm trained on pers target
|
SearchLogDtRealTimeTrainingDssm
web_rtmodels: 2
RealTimeTraining Dssm trained on log_dt target
|
UserBertPersMSE
web_rtmodels: 3
user-bert-model sbr:2366952047 predict, distilled small pers model predicts
|
UserBertOddMSE
web_rtmodels: 4
user-bert-model sbr:2366952047 predict, distilled small odd model predict
|
UserBertSurplusMSE
web_rtmodels: 5
user-bert-model sbr:2366952047 predict, distilled small surplus model predict
|
UserBertLinTrMSE
web_rtmodels: 6
user-bert-model sbr:2366952047 predict, distilled small lintr model predict
|
UserBertPos1MSE
web_rtmodels: 7
user-bert-model sbr:2366952047 predict, distilled small pos1 model predict
|
UserBertPos4MSE
web_rtmodels: 8
user-bert-model sbr:2366952047 predict, distilled small pos4 model predict
|
TransformerPlaceholder7
web_rtmodels: 9
Placeholder
|
TransformerPlaceholder8
web_rtmodels: 10
Placeholder
|
TransformerPlaceholder9
web_rtmodels: 11
Placeholder
|
TransformerPlaceholder10
web_rtmodels: 12
Placeholder
|
SearchOdd2RealTimeTrainingDssm
web_rtmodels: 13
RealTimeTraining Dssm trained on odd target
|
SearchLogDt2RealTimeTrainingDssm
web_rtmodels: 14
RealTimeTraining Dssm trained on log_dt target
|
FeaturesPersonalModelPers
web_rtmodels: 15
Features personal model pers predict
|
FeaturesPersonalModelOdd
web_rtmodels: 16
Features personal model odd predict
|
FeaturesPersonalModelTr
web_rtmodels: 17
Features personal model tr predict
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FeaturesPersonalModelSurplus
web_rtmodels: 18
Features personal model surplus predict
|