Matrix Factorization Recommendation Algorithm Based on Attention Interaction

Matrix Factorization Recommendation Algorithm Based on Attention Interaction

Recommender systems are widely used in e-commerce, movies, music, social media, and other fields because of their personalized recommendation functions. The recommendation algorithm is used to capture user preferences, item characteristics, and the items that users are interested in are recommended...

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Bibliographic Details
Main Authors: Chengzhi Mao, Zhifeng Wu, Yingjie Liu, Zhiwei Shi
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Symmetry
Subjects:
artificial intelligence
recommender system
collaborative filtering
slide attention
attention mechanism
Online Access:https://www.mdpi.com/2073-8994/16/3/267

Internet

https://www.mdpi.com/2073-8994/16/3/267

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