注意メカニズムを融合したパーソナライズド検索方法及び検索システム - JIANGSU UNIVERSITY OF SCIENCE AND TECHNOLOGY

Title:

注意メカニズムを融合したパーソナライズド検索方法及び検索システム

Document Type and Number:

Japanese Patent JP7393060

Kind Code:

B2

Abstract:

Disclosed in the present invention are a personalized search method and search system combined with an attention mechanism. The search method comprises: 1, collecting and obtaining a large amount of user generation content generated by a user in an Internet information media, and performing vectorization representation; 2, constructing a dominant item group; 3, constructing and training a user preference perception model combined with the attention mechanism, the model being based on a DBN and being composed of three RBMs; 4, constructing a distribution estimation probabilistic model based on a user preference; 5, setting a population size N, and generating N new individuals by using the distribution estimation probabilistic model based on the user preference; 6, selecting N items having the highest similarity to the N new individuals in a search space to form a set of items to be recommended Su; 7, calculating an adaptive value of each item in Su, and 8, selecting the Top N items having the highest adaptive values in Su as the search result, and performing personalized recommendation. In the method, different influences of different decision components on the user preference are considered, so that the user can be helped to perform personalized search more effectively.

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Inventors:

Rin
Song Yinglei
Jin spring
Hikaru Shiqiang

Application Number:

JP2022578858A

Publication Date:

December 06, 2023

Filing Date:

March 28, 2022

Export Citation:

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Assignee:

JIANGSU UNIVERSITY OF SCIENCE AND TECHNOLOGY

International Classes:

G06N3/047; G06F16/9035; G06F16/908; G06N3/048; G06N3/08

Domestic Patent References:

JP2008507041A

Other References:

三浦大樹ほか,ソーシャルサーチのための効率的な検索アルゴリズムの提案,情報処理学会論文誌(トランザクション) データベース(TOD) [電子情報通信学会データ工学研究専門委員会共同編集] Vol.6 No.3,日本,情報処理学会,2013年,29~39

Attorney, Agent or Firm:

Mitsuru Kimura
Yasushi Morikawa
Kei Sakurada
Hideki Mie

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