KEMIM: Knowledge-Enhanced User Multi-Interest Modeling for Recommender Systems - researchr publication authors

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Fan Yang 0051, Yong Yue 0001, Gangmin Li, Terry R. Payne, Ka Lok Man. KEMIM: Knowledge-Enhanced User Multi-Interest Modeling for Recommender Systems. IEEE Access, 11:55425-55434, 2023. [doi]

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