Collaborative Filtering Recommendation Algorithm Based on Attention GRU and Adversarial Learning

Collaborative Filtering Recommendation Algorithm Based on Attention GRU and Adversarial Learning

Aiming at the problem that the traditional collaborative filtering algorithm using shallow models cannot learn the deep features of users and items, and the recommendation model is very susceptible to the counter-interference of its parameters; this paper proposes a matrix-factorization recommendati...

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Bibliographic Details
Main Authors: Hongbin Xia, Jing Jing Li, Yuan Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Adversarial learning
attention mechanism
gated recurrent unit
convolutional neural network
probabilistic matrix factorization
collaborative filtering
Online Access:https://ieeexplore.ieee.org/document/9262856/

Internet

https://ieeexplore.ieee.org/document/9262856/

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