Abstract: Highlights•Proposing a novel news recommendation model that effectively making joint recommendation based on news content and popularity.•Constructing a popularity-based recommendation network to deeply investigate users' preference feature towards to news popularity.•Constructing a content-based recommendation network to deeply investigate users' preference feature towards to news content.•Constructing an adaptive combination network to integrate user content and popularity preferences for recommendation.•Performing experiments to verify the proposed model surpasses the state-of-the-art news recommendation models.
External IDs:dblp:journals/nn/ChenHHW25
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