Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems

no code implementations • 30 Nov 2023 • Hongjian Gu, Yaochen Hu, Yingxue Zhang

Graph-based collaborative filtering methods have prevailing performance for recommender systems since they can capture high-order information between users and items, in which the graphs are constructed from the observed user-item interactions that might miss links or contain spurious positive interactions in industrial scenarios.

Collaborative Filtering Recommendation Systems