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Enhancing Knowledge of Propagation-Perception-Based Attention Recommender Systems
2022
Electronics
Researchers have introduced side information such as social networks or knowledge graphs to alleviate the problems of data sparsity and cold starts in recommendation systems. However, most of the methods ignore the exploration of feature differentiation aspects in the knowledge propagation process. To solve the above problem, we propose a new attention recommendation method based on an enhanced knowledge propagation perception. Specifically, to capture user preferences in a fine-grained manner
doi:10.3390/electronics11040547
fatcat:wnqjgwbduvcxpb4bw6pc3pkdv4