An Efficient Adaptive Attention Neural Network for Social Recommendation

An Efficient Adaptive Attention Neural Network for Social Recommendation

Traditional recommendation algorithms based on collaborative filtering suffer from a data sparsity problem. The emergence of online social network has enriched the user's information, realizing a new way to solve recommendation tasks. Social-aware recommendation algorithms can effectively allev...

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Bibliographic Details
Main Authors: Munan Li, Kenji Tei, Yoshiaki Fukazawa
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Recommender systems
neural networks
attention
social influence
Online Access:https://ieeexplore.ieee.org/document/9050750/

Internet

https://ieeexplore.ieee.org/document/9050750/

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