Collaborative Additional Variational Autoencoder for Top-N Recommender Systems

Collaborative Additional Variational Autoencoder for Top-N Recommender Systems

Collaborative filtering (CF) has been generally used in recommender systems when faced some practical problems. Due to the sparsity of the rating matrix, the traditional CF-based approach has a significant decline in recommendation performance. Gradually, a hybrid method, using side information and...

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Bibliographic Details
Main Authors: Ming He, Qian Meng, Shaozong Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Collaborative filtering
deep learning
variational autoencoder
side information
Online Access:https://ieeexplore.ieee.org/document/8598869/

Internet

https://ieeexplore.ieee.org/document/8598869/

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