Self-Supervised Social Recommendation Algorithm Fusing Residual Networks

Self-Supervised Social Recommendation Algorithm Fusing Residual Networks

Social recommendation based on graph neural networks learns the embedded relationships between users and items through the information of social graphs and interaction graphs to get the final recommendation results. However, the existing algorithms mainly utilize the static social graph structure, w...

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Bibliographic Details
Main Author: WANG Yujie, YANG Zhe
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-12-01
Series:Jisuanji kexue yu tansuo
Subjects:
social network; recommendation system; graph convolutional neural network; hypergraph; self-supervised learning
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2401006.pdf
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