KEMIM: Knowledge-enhanced User Multi-interest Modeling for Recommender Systems
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DOI: 10.1109/access.2023.3264550
Abstract: Researchers typically leverage side information, such as social networks or the knowledge graph, to overcome the sparsity and cold start problem in collaborative filtering. To tackle the limitations of existing user interest modeling, we propose… read more here.
Keywords: enhanced user; interest modeling; knowledge graph; knowledge enhanced ... See more keywords