#1845 - 2019-03-10

Neuro Text Model Long Click Predictor By Word And Bigram Counters With S S Hards

NeuroTextModelLongClickPredictorByWordAndBigramCountersWithSSHards FI_NEURO_TEXT_MODEL_LONG_CLICK_PREDICTOR_BY_WORD_AND_BIGRAM_COUNTERS_WITH_SS_HARDS
The result of applying a neural model trained to distinguish long clicks from other events, the input of the model are word and bigram counters, calculated from text streamlines (Title, Body, Url).

tags

  • doc
  • dynamic
  • user
  • user search
  • doc text
  • neural
  • undocumented
  • text machine
  • unsupported
  • samohod unimplemented
  • nn over features use
  • deprecated
  • remapped

Details

index 1845
cppName FI_NEURO_TEXT_MODEL_LONG_CLICK_PREDICTOR_BY_WORD_AND_BIGRAM_COUNTERS_WITH_SS_HARDS
name NeuroTextModelLongClickPredictorByWordAndBigramCountersWithSSHards
ticket FACTOR-2031
tags TG_DOC,TG_DYNAMIC,TG_USER,TG_USER_SEARCH,TG_DOC_TEXT,TG_NEURAL,TG_UNDOCUMENTED,TG_TEXT_MACHINE,TG_UNSUPPORTED,TG_SAMOHOD_UNIMPLEMENTED,TG_NN_OVER_FEATURES_USE,TG_DEPRECATED,TG_REMAPPED
description Результат применения нейронной модели, обученной отличать длинные клики от остальных событий, входом модели являтся пословные и биграмные счётчики, рассчитываемые по текстовым стримам (Title, Body, Url).
dependsOn [object Object]
useArtifact [object Object]
implementationTime 2019-03-10
authors edik
responsibles edik,ilnurkh
The ranking factor information on this page is based on the leaked source code repository of the Yandex Search Engine. For the purpose of this project, the source was transformed into JSON and descriptions were translated into English. The source is publicly available devidw/yandex-ranking-factors.
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