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Title:
PERSONALIZED COMMENT RECOMMENDATION METHOD BASED ON GRAPH BIDIRECTIONAL AGGREGATION NETWORK LINK PREDICTION MODEL
Document Type and Number:
WIPO Patent Application WO/2022/262190
Kind Code:
A1
Abstract:
A personalized comment recommendation method based on a graph bidirectional aggregation network link prediction model. Comment features are aggregated to user features in a user-comment bipartite graph. A social network is combined and user neighbor features are fused to obtain embedded representation of users. Then, the embedded representation of the users is aggregated into comments after removing original features of the users from the embedded representation of the users, and the embedded representation of the users is adjusted by comparing the difference value before and after the comments are aggregated. On this basis, a forwarding network is combined, the scores of edges are calculated by means of an inner product of user node features at the two ends of each edge, and finally recommendation is performed according to the scores. A recommendation system for assisting users is used to perform invisibility, and a comment recommendation task is converted into a link prediction task among the users in a small range. Moreover, a feature extraction method capable of processing different types of data is provided, such that a final result has higher representability.

Inventors:
SHU MINGLEI (CN)
WANG MUCHEN (CN)
WANG YINGLONG (CN)
LI ZHAO (CN)
GAO TIANLEI (CN)
Application Number:
PCT/CN2021/131595
Publication Date:
December 22, 2022
Filing Date:
November 19, 2021
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Assignee:
SHANDONG ARTIFICIAL INTELLIGENCE INST (CN)
UNIV QILU TECHNOLOGY (CN)
SHANDONG COMPUTER SCIENCE CT NAT SUPERCOMPUTER CT JINAN (CN)
International Classes:
G06F16/9535
Foreign References:
CN113434756A2021-09-24
CN103309972A2013-09-18
CN103116639A2013-05-22
US20070192350A12007-08-16
US20200160188A12020-05-21
CN112069402A2020-12-11
Attorney, Agent or Firm:
JINAN SPRINGS PATENT&TRADEMARK OFFICE (CN)
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