Fusion of Personalized Implicit Relations for Social Recommendation

Fusion of Personalized Implicit Relations for Social Recommendation

In recent years, research in social recommendation has shown that modeling implicit relations effectively alleviates data sparsity and cold-start problems. However, related research often overlooks the influence of user and item rating biases when constructing implicit relations. The divergence in u...

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Bibliographic Details
Main Authors: Wei Qin, Jiwei Qin, Tao Wang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Social recommendation
implicit social networks
recommender system
graph neural networks
Online Access:https://ieeexplore.ieee.org/document/10443306/

Internet

https://ieeexplore.ieee.org/document/10443306/

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