Title:
INTERPRETABLE RECOMMENDATION METHOD BASED ON GRAPH NEURAL NETWORK INFERENCE
Document Type and Number:
WIPO Patent Application WO/2022/222037
Kind Code:
A1
Abstract:
Disclosed in the present invention is an interpretable recommendation method based on graph neural network inference. The method comprises: constructing a multi-relationship user behavior graph for a user behavior interaction matrix; for the user behavior graph, learning a high-order association relationship by using a user behavior preference understanding model, and propagating a user behavior preference, so as to obtain vector representations of a user, an item and a user-item association; inputting, into the user behavior preference understanding model, a user state representation, an item state representation and a user-item association representation which are output by the user behavior preference understanding model, so as to obtain an item recommendation of a given user; and taking the fusion of a user preference state representation, the item state representation and the user-item association representation which are output by the user behavior preference understanding model as an input of an interpretation generation model, and combining same with a text comment set, so as to obtain a relevant interpretation of an item recommended to the given user. By means of the present invention, while providing a high-performance recommendation result, a recommendation interpretation which is of high quality and easily understand is generated.
Inventors:
LV ZIYU (CN)
QIAO YU (CN)
QIAO YU (CN)
Application Number:
PCT/CN2021/088464
Publication Date:
October 27, 2022
Filing Date:
April 20, 2021
Export Citation:
Assignee:
SHENZHEN INST OF ADV TECH CAS (CN)
International Classes:
G06F16/9535
Foreign References:
| CN111259238A | 2020-06-09 | |||
| CN111666496A | 2020-09-15 | |||
| CN111523047A | 2020-08-11 | |||
| US10664929B2 | 2020-05-26 |
Other References:
GUODONG WU, ZHA ZHIKANG; TU LIJING; TAO HONG; SONG FUGENG: "Research advances in graph neural network recommendation CAAI Transactions on Intelligent Systems", CAAI TRANSACTIONS ON INTELLIGENT SYSTEMS, vol. 15, no. 1, 31 January 2020 (2020-01-31), pages 14 - 24, XP055979620, ISSN: 1673-4785, DOI: 10.11992/tis.201908034
LI ZHAONING: "Research and Implementation of Recommendation Technology Based on Multi-scene Session Data", MASTER THESIS, TIANJIN POLYTECHNIC UNIVERSITY, CN, no. 7, 15 July 2017 (2017-07-15), CN , XP055979623, ISSN: 1674-0246
LIU MENGJUAN, WANG WEI; LI YANG-XI; LUO XU-CHENG; QIN ZHI-GUANG: "AttentionRank+: A Graph-Based Recommendation Combining Attention Relationship and Multi-Behaviors", CHINESE JOURNAL OF COMPUTERS, BEIJING., CN, vol. 40, no. 3, 31 March 2017 (2017-03-31), CN , pages 634 - 648, XP055979626, ISSN: 0254-4164
LI ZHAONING: "Research and Implementation of Recommendation Technology Based on Multi-scene Session Data", MASTER THESIS, TIANJIN POLYTECHNIC UNIVERSITY, CN, no. 7, 15 July 2017 (2017-07-15), CN , XP055979623, ISSN: 1674-0246
LIU MENGJUAN, WANG WEI; LI YANG-XI; LUO XU-CHENG; QIN ZHI-GUANG: "AttentionRank+: A Graph-Based Recommendation Combining Attention Relationship and Multi-Behaviors", CHINESE JOURNAL OF COMPUTERS, BEIJING., CN, vol. 40, no. 3, 31 March 2017 (2017-03-31), CN , pages 634 - 648, XP055979626, ISSN: 0254-4164
Attorney, Agent or Firm:
BEIJING CHENGHUI LAW FIRM (CN)
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