Title:
CROSS-DOMAIN DATA RECOMMENDATION METHOD AND APPARATUS, AND COMPUTER DEVICE AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2023/173550
Kind Code:
A1
Abstract:
A cross-domain data recommendation method and apparatus, and a computer device and a medium. The method comprises: acquiring a plurality of pieces of source domain data and a plurality of pieces of target domain data (S101); inputting the plurality of pieces of source domain data and the plurality of pieces of target domain data into a pre-trained cross-domain data recommendation model, so as to determine, from the plurality of pieces of target domain data and according to the plurality of pieces of source domain data, data to be recommended, wherein the pre-trained cross-domain data recommendation model is generated by means of performing training on the basis of a knowledge graph and user data, and the knowledge graph is constructed according to a plurality of pieces of historical source domain data (S102); and outputting the data to be recommended, which corresponds to the plurality of pieces of source domain data, and pushing the data to be recommended to a corresponding client (S103). A topological structure formed by the relationship between users and products in different domains is represented by means of a knowledge graph; in addition, the influence of user data on results is combined, so that a more accurate source domain embedding vector is obtained, the precision of a model after training is higher, and the accuracy of data recommendation is improved.
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Inventors:
HOU CHANGYU (CN)
Application Number:
PCT/CN2022/090364
Publication Date:
September 21, 2023
Filing Date:
April 29, 2022
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06F16/335
Domestic Patent References:
| WO2022041979A1 | 2022-03-03 |
Foreign References:
| US20200210881A1 | 2020-07-02 | |||
| CN112084383A | 2020-12-15 | |||
| CN112699310A | 2021-04-23 |
Attorney, Agent or Firm:
BEIJING CHENQUAN INTELLECTUAL PROPERTY LAW FIRM (CN)
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