Tag: TG_AGGR_FIRST_DOC
(35 ranking factors)
Factors |
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RF_QClassKak
unknown: 10
question
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RF_MaxOne
unknown: 18
Returns the maximum degree of household objects in the request under the name Wmaxone. (See ((http://wiki.yandex-team.ru/alekseysokirko/queryobjects SOM-OV)))). ((http://wiki.yandex-team.ru/arsengadzhikurbanov/Wares#maxone more)))))))
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RF_QueryThEncyclopedic
unknown: 22
The result of the work of the lexical classifier of requests predicting the likelihood of click on the theme of 3561
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RF_YabarWordDepthNodesGradientMin
unknown: 23
The angle in the Depth Nodes space, counted only by words (min for all)
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BF_WebCTR0123
unknown: 39
CTR Web sum of the first 4 elements
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BF_HasAllWordsTRFmHisto5hFraction
unknown: 40
Similarly, HasallwordStrfmhisto3dfuction, in the numerator - the number of documents over the past 5 hours
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BF_AutoHostClassifier
unknown: 41
host classifier for auto vertical
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BF_ClassificationKak
unknown: 42
Classification wizard rule class Kak
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BF_VideoMaxWordsCSTR
unknown: 43
VideoMaxWordsCSTR
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FF_FI_query_model
unknown: 44
ski uniramic text classifier trained for factskeeping queries from Toloka
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FF_FI_query_host2vec_weight
unknown: 46
The value of logistics regression predicting the question of the request for the average vector of hosts to issue
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FF_FI_query_is_encyc
unknown: 50
checks the operation of the impyscar rule of the encyclopedicity of the request
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FF_FI_cluster_7
unknown: 51
the proximity of the total host vector to one of the clusters built according to the answers from Toloka
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FF_FI_cluster_8
unknown: 52
the proximity of the total host vector to one of the clusters built according to the answers from Toloka
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FF_FI_is_assistant
unknown: 87
a sign that the request came from the assistant
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FF_FI_neocortex_serp_items_wiz_images
unknown: 91
Cosinus between emblems of the request and availability of wiz-images on a Serpa
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FF_FI_neocortex_serp_items_wiz_video
unknown: 92
Cosinus between emblems of the request and availability of Wiz-Video on a Serpa
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FF_FI_neocortex_serp_items_union_facts
unknown: 93
Cosinus between embezzles of request and availability of Union-Facts on a Serpa
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FF_FI_neocortex_serp_items_wiz_musicplayer
unknown: 94
The cosine between the embedding of the request and the availability of Wiz-MusicPlayer on the Serpa
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FF_FI_neocortex_serp_items_wiz_maps
unknown: 95
Cosinus between embezzles of request and availability of Wiz-Maps on a sickle
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FF_FI_neocortex_serp_items_positive_query_mx
unknown: 96
Cosinus between the embezzle of the request and the presence of a positive Query MX
|
FF_FI_fact_word_min_frequency
unknown: 100
The minimum word frequency from the request, by the frequencies of words in factary requests
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FF_FI_fact_word_max_frequency
unknown: 101
The maximum frequency of a word from the request, by the frequencies of words in factual requests
|
FF_FI_fact_word_med_smooth_inverse_frequency
unknown: 102
Squeezed inverted median frequencies from a request, according to the frequencies of words in factary requests
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FF_FI_fact_word_relative_min_frequency
unknown: 103
The minimum word frequency from the request, by the frequencies of words in factual requests, relative to the frequency of the word in general texts
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FF_FI_fact_word_relative_mean_frequency
unknown: 104
The average frequency of words from the request, by the frequencies of words in factary requests, relative to the frequencies of words in general texts
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FF_FI_fact_word_relative_med_smooth_inverse_frequency
unknown: 105
Squeezed inverted median frequencies from a request, according to the frequencies of words in factary requests, relative to the frequencies of words in general texts
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FF_FI_fact_bigram_max_frequency
unknown: 106
The maximum frequency of the bigma from the request, according to the frequencies of birams in factary queries
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FF_FI_norm_query_char_len
unknown: 107
Request length after Normalizetext in symbols
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FF_FI_norm_query_word_len
unknown: 108
Request length after Normalizetext in words
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FF_FI_question_word_count
unknown: 109
The number of interrogative words in the request
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FF_FI_first_advpro_hash
unknown: 110
Hesh of the first pronoun dialect in the request
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FF_FI_first_preposition_hash
unknown: 111
Hesh of the first preposition in the request
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FF_FI_long_word_count
unknown: 112
The number of words, the length of which is more than 3, in a normalized request
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FF_FI_query_normalizied_length_diff
unknown: 113
(length of_nabrication_biez_normalization - length_vseh_normalized_glines) / length_normalized_Prosa (in lengths of words, arithmic progression coefficients)
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