Information Fusion-Based Deep Neural Attentive Matrix Factorization Recommendation

Information Fusion-Based Deep Neural Attentive Matrix Factorization Recommendation

The emergence of the recommendation system has effectively alleviated the information overload problem. However, traditional recommendation systems either ignore the rich attribute information of users and items, such as the user’s social-demographic features, the item’s content features, etc., faci...

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Bibliographic Details
Main Authors: Zhen Tian, Lamei Pan, Pu Yin, Rui Wang
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Algorithms
Subjects:
attention mechanism
cross-features
deep neural network
information fusion
matrix factorization
recommendation system
Online Access:https://www.mdpi.com/1999-4893/14/10/281

Internet

https://www.mdpi.com/1999-4893/14/10/281

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