A neural collaborative filtering recommendation algorithm based on attention mechanism and contrastive learning

The neural collaborative filtering recommendation algorithm widely serves as personalized recommendations of users, which further applies deep learning to a recommendation system. It is a universal framework in the neural collaborative filtering recommendation algorithm; however, it does not regard...

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Auteur principal:	Liu Jianqiao
Format:	Artigo
Langue:	Inglês
Publié:	De Gruyter 2025-07-01
Collection:	Nonlinear Engineering
Sujets:	attention mechanism contrastive learning deep learning neural collaborative filtering recommendation algorithm
Accès en ligne:	https://doi.org/10.1515/nleng-2025-0137
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