Title:
RECOMMENDATION REASON GENERATION METHOD AND APPARATUS, AND DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/001896
Kind Code:
A1
Abstract:
A recommendation reason generation method and apparatus, and a device and a storage medium. The method comprises: acquiring content information of an object to be recommended (S201); and generating a recommendation reason for said object according to a pre-trained recommendation reason generation model and the content information, wherein training data used for the recommendation reason generation model comprises question-and-answer data and content information of a plurality of objects (S202). The training of the recommendation reason generation model is performed by combining the question-and-answer data and content information of the plurality of objects, and the commodity in which a user is most interested is mined by means of the question-and-answer data; and therefore, the recommendation reason generated by using the present solution can accurately locate a demand of the user, thereby improving the experience of the user.
Inventors:
ZHANG HAINAN (CN)
CHEN HONGSHEN (CN)
DING ZHUOYE (CN)
BAO YONGJUN (CN)
YAN WEIPENG (CN)
CHEN HONGSHEN (CN)
DING ZHUOYE (CN)
BAO YONGJUN (CN)
YAN WEIPENG (CN)
Application Number:
PCT/CN2021/102539
Publication Date:
January 06, 2022
Filing Date:
June 25, 2021
Export Citation:
Assignee:
BEIJING WODONG TIANJUN INFORMATION TECHNOLOGY CO LTD (CN)
BEIJING JINGDONG CENTURY TRADING CO LTD (CN)
BEIJING JINGDONG CENTURY TRADING CO LTD (CN)
International Classes:
G06Q30/06; G06N3/04; G06N3/08
Foreign References:
CN112308650A | 2021-02-02 | |||
CN110457452A | 2019-11-15 | |||
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CN202010619641A | 2020-07-01 |
Other References:
CHEN LONG: "Intelligent Text Understanding for Product Reviews", CHINESE SELECTED DOCTORAL DISSERTATIONS AND MASTER'S THESES FULL-TEXT DATABASES (DOCTORAL), INFORMATION SCIENCE AND TECHNOLOGY, no. 1, 15 January 2020 (2020-01-15), XP055884159
Attorney, Agent or Firm:
LEADER PATENT & TRADEMARK FIRM (CN)
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