Group: StaticYT
(251 ranking factors)
Factors |
---|
SameWordsTitleShortNameCountMini
geo_production: 280
|
SameUrlShowsMaxi
geo_production: 281
|
SameHostCountMaxi
geo_production: 282
|
SameRegionLocalityShowsMaxi
geo_production: 283
|
SameWordsTitleNameWithoutEnLangCountMini
geo_production: 284
|
SamePairUrlRegionLocalityCTRMaxi
geo_production: 285
|
SameRegionCountryCTRMaxi
geo_production: 286
|
SameWordsTitleNameWithoutEnLangCTRMini
geo_production: 287
|
IsUniversityDepartment
geo_production: 365
|
IsHospitalDepartment
geo_production: 366
|
IsLocatedAtOrg
geo_production: 367
|
DocumentTimestamp
geo_production: 378
|
DocumentLogClicks
geo_production: 379
|
DocumentLogInvCtr
geo_production: 380
|
DocumentLogSpnSizeShowP50
geo_production: 381
|
DocumentLogDistanceToSpnSizeClickP50
geo_production: 382
|
RubricMeanLogClicks
geo_production: 383
|
RubricMeanLogInvCtr
geo_production: 384
|
RubricMeanLogSpnSizeShowP50
geo_production: 385
|
RubricMeanLogDistanceToSpnSizeClickP50
geo_production: 386
|
DocFirstDay
geo_production: 393
The number of days from 01.01.2017 to the first appearance in the logs
|
DocMapsShws
geo_production: 394
Logarithm of the number of shows in Byak
|
DocMapsClks
geo_production: 395
Logarithm of the number of clicks in Byak
|
DocMobiShws
geo_production: 396
Logarithm of the number of shows in the male and navigator
|
DocMobiClks
geo_production: 397
Logarithm of the number of clicks in the meat and navigator
|
DocSerpShws
geo_production: 398
Logarithm of the number of shows on the Serpa
|
DocSerpClks
geo_production: 399
Logarithm of the number of clicks on Serpa
|
SearchGroupFirstDay
geo_production: 400
The number of days from 01.01.2017 to the first appearance in the logs
|
SearchGroupMapsShws
geo_production: 401
Logarithm of the number of shows in Byak
|
SearchGroupMapsClks
geo_production: 402
Logarithm of the number of clicks in Byak
|
SearchGroupMobiShws
geo_production: 403
Logarithm of the number of shows in the male and navigator
|
SearchGroupMobiClks
geo_production: 404
Logarithm of the number of clicks in the meat and navigator
|
SearchGroupSerpShws
geo_production: 405
Logarithm of the number of shows on the Serpa
|
SearchGroupSerpClks
geo_production: 406
Logarithm of the number of clicks on Serpa
|
DocUrlDocCount
geo_production: 407
Logarithm of the number of documents with the same Urle
|
DocUrlMapsShws
geo_production: 408
Logarithm of the number of shows in Byak
|
DocUrlMapsClks
geo_production: 409
Logarithm of the number of clicks in Byak
|
DocUrlMobiShws
geo_production: 410
Logarithm of the number of shows in the male and navigator
|
DocUrlMobiClks
geo_production: 411
Logarithm of the number of clicks in the meat and navigator
|
DocUrlSerpShws
geo_production: 412
Logarithm of the number of shows on the Serpa
|
DocUrlSerpClks
geo_production: 413
Logarithm of the number of clicks on Serpa
|
DocRubricDocCount
geo_production: 414
Logarithm of the number of documents with the same section
|
DocRubricMapsShws
geo_production: 415
Average logarithm of the number of shows in Byak
|
DocRubricMapsClks
geo_production: 416
Average logarithm of the number of clicks in Byak
|
DocRubricMobiShws
geo_production: 417
The average logarithm of the number of shows in the meat and navigator
|
DocRubricMobiClks
geo_production: 418
Average logarithm of the number of clicks in the meat and navigator
|
DocRubricSerpShws
geo_production: 419
Average logarithm of the number of shows on the Serpa
|
DocRubricSerpClks
geo_production: 420
Average logarithm of the number of clicks on the Serpa
|
DocDuplicateCount
geo_production: 421
The number of takes by the document
|
SearchGroupDuplicateCount
geo_production: 422
The number of doubles of the document, including duplicate in search groups
|
DuplicateCount
geo_production: 436
|
ClusterIdCount
geo_production: 437
|
RubricOidCount
geo_production: 438
|
DocUrlOidCount
geo_production: 439
|
DuplicateAttrEdit
geo_production: 440
|
ClusterIdAttrEdit
geo_production: 441
|
DuplicateFirstAppearance
geo_production: 442
|
DuplicateMapsSessionsAgg
geo_production: 443
|
DuplicateMapsGoodsFrcAgg
geo_production: 444
|
DuplicateMapsDeepsFrcAgg
geo_production: 445
|
DuplicateMobiSessionsAgg
geo_production: 446
|
DuplicateMobiGoodsFrcAgg
geo_production: 447
|
DuplicateMobiDeepsFrcAgg
geo_production: 448
|
DuplicateSerpSessionsAgg
geo_production: 449
|
DuplicateSerpDeepsFrcAgg
geo_production: 450
|
ClusterIdFirstAppearance
geo_production: 451
|
ClusterIdMapsSessionsAgg
geo_production: 452
|
ClusterIdMapsGoodsFrcAgg
geo_production: 453
|
ClusterIdMapsDeepsFrcAgg
geo_production: 454
|
ClusterIdMobiSessionsAgg
geo_production: 455
|
ClusterIdMobiGoodsFrcAgg
geo_production: 456
|
ClusterIdMobiDeepsFrcAgg
geo_production: 457
|
ClusterIdSerpSessionsAgg
geo_production: 458
|
ClusterIdSerpDeepsFrcAgg
geo_production: 459
|
RubricIdsMapsSessionsAgg
geo_production: 460
|
RubricIdsMapsGoodsFrcAgg
geo_production: 461
|
RubricIdsMapsDeepsFrcAgg
geo_production: 462
|
RubricIdsMobiSessionsAgg
geo_production: 463
|
RubricIdsMobiGoodsFrcAgg
geo_production: 464
|
RubricIdsMobiDeepsFrcAgg
geo_production: 465
|
RubricIdsSerpSessionsAgg
geo_production: 466
|
RubricIdsSerpDeepsFrcAgg
geo_production: 467
|
RubricIdsMapsSessionsP50
geo_production: 468
|
RubricIdsMapsGoodsFrcP50
geo_production: 469
|
RubricIdsMapsDeepsFrcP50
geo_production: 470
|
RubricIdsMobiSessionsP50
geo_production: 471
|
RubricIdsMobiGoodsFrcP50
geo_production: 472
|
RubricIdsMobiDeepsFrcP50
geo_production: 473
|
DocUrlIdsMapsSessionsAgg
geo_production: 474
|
DocUrlIdsMapsGoodsFrcAgg
geo_production: 475
|
DocUrlIdsMapsDeepsFrcAgg
geo_production: 476
|
DocUrlIdsMobiSessionsAgg
geo_production: 477
|
DocUrlIdsMobiGoodsFrcAgg
geo_production: 478
|
DocUrlIdsMobiDeepsFrcAgg
geo_production: 479
|
DocUrlIdsSerpSessionsAgg
geo_production: 480
|
DocUrlIdsSerpDeepsFrcAgg
geo_production: 481
|
AdvertiserScore
geo_production: 484
How much we want to get this advertiser to fulfill our promises on advertising
|
ForsquareReviewCount
geo_experiment: 3
The number of reviews in 4SQ.
|
TripadvisorReviewCount
geo_experiment: 4
The number of reviews at Tripadvisor.
|
FoursquareRating
geo_experiment: 5
4SQ rating.
|
TripadvisorRating
geo_experiment: 6
Tripadvisor rating.
|
PricePerHourSauna
geo_experiment: 7
The cost of an hour of the sauna.
|
AverageBill
geo_experiment: 8
Average account
|
PriceRoom
geo_experiment: 9
The cost of the room.
|
AverageHaircutPrice
geo_experiment: 10
The average cost of haircuts
|
CarParkExist
geo_experiment: 11
The presence of parking
|
AveragePriceAi95
geo_experiment: 12
The cost of AI95
|
WiFiExist
geo_experiment: 13
The presence of Wi-Fi
|
AroundTheClockWork
geo_experiment: 14
Around the clock
|
TireFittingExist
geo_experiment: 15
The presence of tire fitting
|
PriceBed
geo_experiment: 16
The cost of a bed
|
QAllPrices
geo_experiment: 17
Average deviation from the median cost for all types of services
|
MeanCryptaOidNGoodClicks
geo_recommendations: 50
The number of clicks made by users, about which there is a crypt information
|
MeanCryptaOidGoodClicksGenderM
geo_recommendations: 51
The average floor of the user, balanced on his clicks on the organization
|
MeanCryptaOidGoodClicksGoToKino
geo_recommendations: 52
The average love for the user movie, balanced for his clicks on the organization
|
MeanCryptaOrg1NDeepClicks
geo_recommendations: 53
The number of deep clicks for Org1 requests made by users, about which there are crypto information
|
MeanCryptaOrg1UsersIncomeA
geo_recommendations: 54
The average income of the user interested in this organization in ORG1 requests
|
MeanCryptaRubricQueryUsersItalianFood
geo_recommendations: 55
On the heading: the second love of Italian cuisine
|
MeanCryptaRubricQueryShows18_24
geo_recommendations: 56
According to the heading: average probability [user age in 18-24], balanced by the number of rubric queries
|
MeanCryptaRubricQueryShows25_34
geo_recommendations: 57
According to the heading: average probability [age in 25-34] user, balanced by the number of rubric queries
|
MeanCryptaRubricQueryGoodClicksDoSport
geo_recommendations: 58
According to the heading: average love of user sports, balanced for the number of clicks on rubric queries
|
MeanCryptaRubricQueryDeepClicksDoSport
geo_recommendations: 59
On the heading: average love of user sports, balanced by the number of Deep clicks for rubric queries
|
MeanCryptaRubricDocUsersGenderM
geo_recommendations: 60
According to the heading: the average floor of the user who was shown an organization with such a section
|
MeanCryptaRubricDocShowsGenderM
geo_recommendations: 61
On the heading: the average floor of the user, weighed to show organizations with such a section
|
MeanCryptaRubricDocGoodClicksFranceFood
geo_recommendations: 62
According to the heading: average love for French food, weighed on clicks by organizations with such a section
|
MeanCryptaRubricDocDeepClicksGenderM
geo_recommendations: 63
On the heading: the middle floor weighed on Deep clicks by organizations with such a section
|
MeanCryptaRubricDocDeepClicksHasChildren
geo_recommendations: 64
According to the heading: the average probability [the user has children], weighed on deep clicks by organizations with such a section
|
MeanCryptaRubricDocDeepClicksItalianFood
geo_recommendations: 65
According to the heading: average love for Italian cuisine, weighed on Deep clicks by organizations with such a section
|
MeanCryptaChainQueryGoodClicksChildren11_16
geo_recommendations: 66
On the network: the average probability [user has children 11-16 years old], weighed to clicks on network requests
|
MeanCryptaChainDocNGoodClicks
geo_recommendations: 67
The number of clicks on organizations of this network
|
MeanCryptaChainDocUsersMiddleseaFood
geo_recommendations: 68
On the network: average love for the Mediterranean cuisine of users who showed the organizations of this network
|
DensityOid50
geo_recommendations: 69
The density of organizations sigma = 50
|
DensityOid100
geo_recommendations: 70
The density of SIGMA organizations = 100
|
DensityOid200
geo_recommendations: 71
Sigma density = 200
|
DensityOid400
geo_recommendations: 72
Sigma density = 400
|
DensityOid800
geo_recommendations: 73
Sigma density = 800
|
DensityOid1600
geo_recommendations: 74
Sigma density = 1600
|
DensityOid3200
geo_recommendations: 75
The density of organizations Sigma = 3200
|
DensityRubric50
geo_recommendations: 76
The density of organizations from this section Sigma = 50
|
DensityRubric100
geo_recommendations: 77
The density of organizations from this section Sigma = 100
|
DensityRubric200
geo_recommendations: 78
The density of organizations from this section Sigma = 200
|
DensityRubric400
geo_recommendations: 79
The density of organizations from this section Sigma = 400
|
DensityRubric800
geo_recommendations: 80
The density of organizations from this section Sigma = 800
|
PhotoRank
geo_recommendations: 81
The main photo in the directory
|
PhotoAesthetic
geo_recommendations: 82
Aesthetics of the main photo
|
PhotoOCRText
geo_recommendations: 83
Text in the main photo
|
PhotoRealtyEntranceStairs
geo_recommendations: 84
Steps at the entrance to the building in the main photo
|
PhotoRealtyKitchen
geo_recommendations: 85
Kitchen in the main photo
|
PhotoRealtyMaps
geo_recommendations: 86
Building factor in the main photo
|
PhotoRealtyOther
geo_recommendations: 87
Building factor in the main photo
|
PhotoRealtyOutside
geo_recommendations: 88
Building factor in the main photo
|
PhotoRealtyMC
geo_recommendations: 89
Building factor in the main photo
|
PessimizeTrash
geo_recommendations: 106
Pessimize, unwanted organization
|
Boosting
geo_recommendations: 107
In this factor, information about Busts is placed
|
BoostTripadvisorUrl
geo_recommendations: 108
Beating by the presence of tripadvisor urla
|
BoostTripadvisorAttractionsUrl
geo_recommendations: 109
Bewilder Tripadvisor Urla in the entertainment section
|
BoostTripadvisorRating
geo_recommendations: 110
Bay by rating in Tripadvisor
|
BoostTripadvisorReviewsCount
geo_recommendations: 111
Buster by the number of reviews in Tripadvisor
|
MMShows60Days
geo_recommendations_search_application: 0
Shows on Metrika Mobile for 60 days
|
MMClicks60Days
geo_recommendations_search_application: 1
Clicks on Metrika Mobile for 60 days
|
MMClicksPerShows60Days
geo_recommendations_search_application: 2
CTR by Metrika Mobile for 60 days
|
USShows60Days
geo_recommendations_search_application: 3
Sessions user shows for 60 days
|
USClicks60Days
geo_recommendations_search_application: 4
Clicks on the user sessions in 60 days
|
USDeepClicks60Days
geo_recommendations_search_application: 5
Deep clicks on the user sessions in 60 days
|
USClicksPerShows60Days
geo_recommendations_search_application: 6
CTR for user sessions in 60 days
|
RubricMMShows60Days
geo_recommendations_search_application: 7
Metrika Mobile heading shows for 60 days
|
RubricMMClicks60Days
geo_recommendations_search_application: 8
Clicks of the heading on Metrika Mobile for 60 days
|
RubricMMClicksPerShows60Days
geo_recommendations_search_application: 9
CTR heading Metrika Mobile for 60 days
|
RubricUSShows60Days
geo_recommendations_search_application: 10
Rating of the section on user sessions in 60 days
|
RubricUSClicks60Days
geo_recommendations_search_application: 11
Clicks of the heading for user sessions in 60 days
|
RubricUSDeepClicks60Days
geo_recommendations_search_application: 12
Deep Clicks of the heading of the user sessions in 60 days
|
RubricUSClicksPerShows60Days
geo_recommendations_search_application: 13
CTR section for user sessions in 60 days
|
MmCtrTimedWorkMorning
geo_recommendations_experiment: 0
Rubric Ctr on Metrika Mobile in the morning on working days
|
MmCtrTimedWorkDay
geo_recommendations_experiment: 1
Rubric Ctr on Metrika Mobile during the day on working days
|
MmCtrTimedWorkEvening
geo_recommendations_experiment: 2
Rubric CTR for Metrika Mobile on business days in the evening
|
MmCtrTimedWorkNight
geo_recommendations_experiment: 3
Rubric Ctr on Metrika Mobile at night on working days
|
MmCtrTimedHolidayMorning
geo_recommendations_experiment: 4
Rubric Ctr on Metrika Mobile on the morning on weekends
|
MmCtrTimedHolidayDay
geo_recommendations_experiment: 5
Rubric Ctr on Metrika Mobile during the day on weekends
|
MmCtrTimedHolidayEvening
geo_recommendations_experiment: 6
Rubric Ctr on Metrika Mobile on weekends evening
|
MmCtrTimedHolidayNight
geo_recommendations_experiment: 7
Rubric Ctr on Metrika Mobile at night on weekends
|
CollectionCompaniesMaxRating
geo_collections: 1
Maximum company rating in a selection
|
CollectionCompaniesMeanRating
geo_collections: 2
Middle company rating in a selection
|
CollectionCompaniesHaveRating
geo_collections: 3
The number of organizations in a selection that has a rating
|
RDShows60Days
geo_recommendations_touch: 0
Redir shows for 60 days
|
RDClicks60Days
geo_recommendations_touch: 1
Redir clicks for 60 days
|
RDClicksPerShows60Days
geo_recommendations_touch: 2
CTR by Redir for 60 days
|
RubricRDShows60Days
geo_recommendations_touch: 3
Redir section shows for 60 days
|
RubricRDClicks60Days
geo_recommendations_touch: 4
Redir heading clicks for 60 days
|
RubricRDClicksPerShows60Days
geo_recommendations_touch: 5
CTR Redir headings for 60 days
|
RDShowsNoLL60Days
geo_recommendations_touch: 6
Redir shows without coordinate in 60 days
|
RDClicksNoLL60Days
geo_recommendations_touch: 7
Redir clicks without coordinates in 60 days
|
RDClicksPerShowsNoLL60Days
geo_recommendations_touch: 8
CTR by Redir without coordinates in 60 days
|
RubricRDShowsNoLL60Days
geo_recommendations_touch: 9
Redir section shows without coordinate in 60 days
|
RubricRDClicksNoLL60Days
geo_recommendations_touch: 10
Redir heading clicks without coordinate in 60 days
|
RubricRDClicksPerShowsNoLL60Days
geo_recommendations_touch: 11
CTR Redir headings without coordinate in 60 days
|
TravelPartnerClicks_1W
geo_hotels: 0
The number of transitions to the partner of Ya. Traveling for the last week
|
TravelPartnerClicks_4W
geo_hotels: 1
The number of transitions to the partner of Ya. Traveling over the past 4 weeks
|
TravelPartnerClicks_12W
geo_hotels: 2
The number of transitions to the partner of Ya. Traveling over the past 12 weeks
|
HotelBookings_1W
geo_hotels: 3
The number of hotel armor through the Ya. Traveling in the last week
|
HotelBookings_4W
geo_hotels: 4
The number of hotel armor through the Ya. Traveling over the past 4 weeks
|
HotelBookings_12W
geo_hotels: 5
The number of hotel armor through the Ya. Traveling in the last 12 weeks
|
TravelRating
geo_hotels: 6
Hotel rating on J.
|
AvgNightCost_4W
geo_hotels: 7
Average price per night in rubles over the past 4 weeks
|
AvgNightProfit_4W
geo_hotels: 8
Average revenue overnight in rubles over the past 4 weeks
|
BookingOverallReviewRating
geo_hotels: 9
Rating on Booking.com
|
MedianNightPrice_4W
geo_hotels: 10
Median prices per night over the past 4 weeks
|
FBHits
geo_hotels: 11
Hits for FB partner
|
FBVisits
geo_hotels: 12
Visits for FB partner
|
FBMedianVisitDuration
geo_hotels: 13
The average user stay on the FB partner page
|
AvailabilityPr_3D
geo_hotels: 14
The average availability of the hotel in search of the last 3 days, the description see https://st.yandex-team.ru/hotels-3460
|
AvailabilityPr_4W
geo_hotels: 15
The average availability of the hotel in search of the last 4 weeks, the description see https://st.yandex-team.ru/hotels-3460
|
SearchesAsSingleOrgCount_4W
geo_hotels: 16
The number of interactive searches of the hotel, like 1orga, from the hotel sorcerer in the last 4 weeks (Hotels-3784)
|
SearchesAsSimilarCount_4W
geo_hotels: 17
The number of interactive searches of the hotel, as similar, over the past 4 weeks (Hotels-3784)
|
SearchesAsManyOrgCount_4W
geo_hotels: 18
The number of interactive searches of the hotel from a carousel from a sickle or cards over the past 4 weeks (Hotels-3784)
|
MeanConversion_12W
geo_hotels: 19
Total conversion by partners
|
ConversionMean_12W
geo_hotels: 20
Average conversion by partners
|
BookingHotelBookings_12W
geo_hotels: 21
The number of bookings on Booking.com
|
BookingHotelHits_12W
geo_hotels: 22
The number of hits on Booking.com
|
PredictedClicks_12W
geo_hotels: 23
Predicted number of clicks for organization
|
PredictedBookings_12W
geo_hotels: 24
Predictated amount of reservation of rganization
|
HotelCanBeSold
geo_hotels: 26
The presence of a jack of a hotel
|
HotelsExperimental1
geo_hotels: 27
Factor for experiments on ranking #1
|
HotelsExperimental2
geo_hotels: 28
Factor for experiments on ranking #2
|
HotelsExperimental3
geo_hotels: 29
Factor for experiments on ranking #3
|
HotelsExperimental4
geo_hotels: 30
Factor for experiments on ranking #4
|
HotelsExperimental5
geo_hotels: 31
Factor for experiments on ranking #5
|
HotelsExperimental6
geo_hotels: 32
Factor for experiments on ranking #6
|
HotelsExperimental7
geo_hotels: 33
Factor for experiments on ranking #7
|
HotelsExperimental8
geo_hotels: 34
Factor for experiments on ranking #8
|
OidDiscountedVisits
geo_recommendations_orgvisits: 0
The number of visits discounted
|
OidDiscountedVisitDurations
geo_recommendations_orgvisits: 1
Duration of visits discounted
|
OidMeanVisitRecentness
geo_recommendations_orgvisits: 2
The average limitation of visits
|
OidStdVisitRecentness
geo_recommendations_orgvisits: 3
Discharging of the statute of limitations of visits
|
OidMinRecentness
geo_recommendations_orgvisits: 4
The minimum limitation of visits
|
OidSecondMinRecentness
geo_recommendations_orgvisits: 5
The second minimum limitation of visits
|
OidMaxRecentness
geo_recommendations_orgvisits: 6
The maximum limitation of visits
|
OidMinDuration
geo_recommendations_orgvisits: 7
The minimum duration of visits
|
OidMaxDuration
geo_recommendations_orgvisits: 8
The maximum duration of visits
|
OidDurationVariation
geo_recommendations_orgvisits: 9
Variation of the duration of visits
|
OidInverseDiscountedVisits
geo_recommendations_orgvisits: 10
The number of visits, back discounted
|
RubricDiscountedVisits
geo_recommendations_orgvisits: 11
The number of visits discounted as well, for the heading
|
RubricDiscountedVisitDurations
geo_recommendations_orgvisits: 12
Duration of visits discounted as well, for the heading
|
RubricMeanVisitRecentness
geo_recommendations_orgvisits: 13
Average limitation of visits, for the heading
|
RubricStdVisitRecentness
geo_recommendations_orgvisits: 14
Discharging of the statute of limitations for the heading
|
RubricMinRecentness
geo_recommendations_orgvisits: 15
Minimum limitation of visits, for the heading
|
RubricSecondMinRecentness
geo_recommendations_orgvisits: 16
The second minimum limitation of visits for the heading
|
RubricMaxRecentness
geo_recommendations_orgvisits: 17
Maximum limitation of visits, for the heading
|
RubricMinDuration
geo_recommendations_orgvisits: 18
The minimum duration of visits for the heading
|
RubricMaxDuration
geo_recommendations_orgvisits: 19
Maximum duration of visits for the heading
|
RubricDurationVariation
geo_recommendations_orgvisits: 20
Variation of the duration of visits for the heading
|
RubricInverseDiscountedVisits
geo_recommendations_orgvisits: 21
The number of visits, back discounted as well, for the heading
|