Author: zhenek

The prediction of the NeoCortEx model trained in TextTotext on factory logs

The prediction of the NeoCortex model trained in TextTotext on answers

a sign that the request came from the assistant

Request length after Normalizetext in symbols

Request length after Normalizetext in words

The number of interrogative words in the request

The value of BERT on an assessment of the act, the first head of the multitargete

The page has a marking Schema.org Question (Mean)

The page has a marking Schema.org Question (Max)

The page has a marking Schema.org Question and the best answer was selected (Mean)

The page has a marking Schema.org Question and the best answer was selected (max)

The length of the best answer Schema.org Question in words (Mean)

The length of the best answer Schema.org Question in words (max)

The number of votes for the best answer to Schema.org Question (Mean)

The number of votes for the best answer to Schema.org Question (Max)

The length of the greatest overall tuning of the best response to Schema.org Question and Snippet (share of SNIPPET words) (Mean)

The length of the greatest overall tuning of the best response to Schema.org Question and Snippet (share of SNIPPET words) (MAX)

The length of the greatest overall tuning of the best response to Schema.org Question and Snippet (share of words of the best answer) (Mean) (Mean)

The length of the greatest overall tuning of the best response to Schema.org Question and Snippet (share of words of the best answer) (Max)

The position of the greatest overall tuning of the best response to Schema.org Question and Snippte in Snippet (Mean)

The position of the greatest overall tuning of the best response to Schema.org Question and Snippte in Snippet (MAX)

The position of the greatest overall tuning of the best response to Schema.org Question and Snippet in the best answer (Mean)

The position of the greatest overall tuning of the best response to Schema.org Question and Snippet in the best answer (Max)

The length in the words of Schema.org Question response, most similar to snippet

The length in the words of Schema.org Question response, most similar to snippet (max)

The number of votes for the answer Schema.org Question, most similar to Snippet (Mean)

The number of votes for the answer Schema.org Question, most similar to Snippet (Max)

The length of the largest overall substitution of Schema.org Question response, most similar to snippet, and snippet (share of SNIPPET words) (Mean)

The length of the largest overall substitution of Schema.org Question response, most similar to snippet, and snippet (share of the words of Snippte) (Max)

The length of the largest overall substitution of Schema.org Question response, most similar to snippet, and snippet (share of the words of the answer) (Mean) (Mean)

The length of the largest overall substitution of Schema.org Question response, most similar to snippet, and snippet (share of the words of the answer) (max)

Schema.org Question response position, most similar to snippet, and snippet in snippet (Mean)

Schema.org Question response position, most similar to snippet, and snippet in snippet (Max)

Schema.org Question response position, most similar to snippet, and snippet in the answer (Mean)

Schema.org Question response position, most similar to snippet, and snippet in the answer (max)

a sign that the request came from the assistant

MAXM DSSM-SCOROV by models bert_factsnip_answer

Average DSSM-School according to the Bert_FACTSNIP_ANSWER model

Request length after Normalizetext in symbols

Request length after Normalizetext in words

The number of interrogative words in the request

среднее от MixMatchWeightedValue factor over hits from BQPRSample stream

среднее от FullMatchValue factor over hits from SamplePeriodDayFrc stream

Average from SampleperiodDayFrcMixMatchWeightedValue

Average Deviation DoubleFrcmatchtop5AVGMATCH

Average deviation from SampleperidDayFrcMixMatchWeightedValue

Middle from AvgdtWeightedbyrankmobilefullmatchvalue

Minimum from Qfufallavgw, which: Linguistic Boosting factor. The average weight of the QFUF type extensions.

Maximum from Qfufalltotalw, which: Linguistic Boosting factor. Type of extensions: QFUF. Transferred the total weight of the extensions.

Minimum from RandomlogqueryavGaddtime: ADDTIME average value for the year. It is calculated in offline.

At least from RandomlogqueryavgtXthirelsy: the average Txthirelsy value for the year. It is calculated in offline.

At least from Randomlogqueryavgtextlike: the average Textlike value for the year. It is calculated in offline.

Maximum from Randomlogqueryavghasnoallwordstersy: The average Hasnoallwordstersy value for the year. It is calculated in offline.

minimum of randomlogqueryavgisforum

minimum of randomlogQueryvgQuerydowneronlyclickrate

minimum of randomlogqueryavglongesttext

Average from RandomlogqueryavgdiferentinTernallinks

minimum of randomlogQueryvgQuerydowneronlyclickrate_reg

minimum of randomlogqueryavgbm25_0

minimum of randomlogQueryvgqueriesavgcm2

minimum of randomlogQueryavgregBrowseruserhub

maximum of randomlogQueryvgquieurlcorreCTRXTRXFACTOR

A minimum of randomlogQueryavgxfdshowallsumwfsumwbodyminwindowsize

Maximum from RandomlogQuryClicksweightedavgyabarururlavgtime: Malinated by clicks Yabarurlavgtime for the year. It is calculated in offline.

maximum of randomlogQueryclickSweigtedavgdifferentinternllinks

Average deviation from VPCGCORRECTEDCLICSSLPPERWORDCMAXPREXPRECTIONMIN

среднее от VpcgCorrectedClicksSLPMixMatchWeightedValue

Average deviation from VPCGCORRECTEDCLICSLPMATCHTOP5AVGPREDION

Maximum of QuerydopMediandwellTime

Average from QuerydoppmultIclicksshows

Maximum of QuerydoppmultipleClicksprobability

maximum of xfdshowalltotalw

The page has a scheme of Schema.org Question

The page has a marking Schema.org Question and the best answer was selected

Schema.org Question in words in words

The number of votes for the best answer Schema.org Question

The length of the greatest overall tuning of the best response to Schema.org Question and Snippet (share of SNIPPET words)

The length of the greatest overall tuning of the best response to Schema.org Question and Snippet (share of words of the best answer)

The position of the greatest overall tuning of the best response to Schema.org Question and Snippet in Snippet

The position of the greatest overall tuning of the best answer to Schema.org Question and Snippet in the best response

The length in the words of the answer Schema.org Question, most similar to snippet

the number of votes for the answer Schema.org Question, most similar to snippet

Schema.org Question, which is most similar to Snippet, and Snippet (share of SNIPPET words), the most common overall substitution of the response.

The length of the largest overall substitution of Schema.org Question response, most similar to snippet, and snippet (share of the words of the answer)

Schema.org Question response position, most similar to snippet, and snippet in snippet

Schema.org Question response position, the most similar to snippet, and snippet in response

The prediction of the NeoCortEx model trained in TextTotext on factory logs

The prediction of the NeoCortex model trained in TextTotext on answers

a sign that the request came from the assistant

Numerical derivative 84

Difference with its average 253

Difference with its average 254

Text relevance (maxfreq is the frequency of the most frequent word that makes sense of the length of the document).

Priority bonus, priority 7 - text priority. The binary factor, matters 0 for all monosyllabic requests, and the value of 1 for almost all two or more words, except for a very small number of answers for which there is not a single link that has passed quorum, and the text also did not pass the quorum.

TR divided by a cube of the number of words in a request and transformed by a standard REMAPTR.

The document has no TR.

The document passed Softand on the restrictions of the syntactic sorcerer. Only for documents with textual relevance. For monosyllabic requests, always 1.

Weight of maximum coincidence of forms in the text and request

The ratio of the amount of IDF words in a sentence+Title to all words.

Analogues of the factors of the same name, the weight of the word = 1

CosineMatchMaxPrediction factor over hits from FirstLastClick stream (Mobile sessions filtered)

Linguistic boosting factor. Type of extensions: Querytotext. Factor: PairminProximity according to the contents of the document. The average values ​​of the expansion factor.

removed

The number of shows of the request with more than one click in history. The request is normalized by doppelgangers

Linear text classifier prediction learned on video production pool with positives and wins factor two

The value of the Katbust formula on all assessments from the dialogs

The value of the Katbustic formula on estimates from dialogs according to Snippets

The value of the Katbust formula on estimates from dialogs until 2018

The value of the request formula

The value of the Katbust formula on estimates from the Estimate Answers V1 cache from 2019

The value of BERT on an assessment of the act, the first head of the multitargete

Dependence so that when the factor is changed, they do not forget about us

Dependence so that when the factor is changed, they do not forget about us