HNF: Hybrid Neural Filtering Based on Centrality-Aware Random Walk for Personalized Recommendation
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DOI: 10.1109/tnse.2021.3100864
Abstract: Social computing which analyzes users’ behaviors can help personalized recommender system to extract preferences of users. Most of personalized recommender systems exploit a user-item rating matrix to learn representations of users and items for predicting… read more here.
Keywords: recommendation; user item; hnf; neural filtering ... See more keywords