Neural Collaborative Autoencoder for Recommendation With Co-Occurrence Embedding

Neural Collaborative Autoencoder for Recommendation With Co-Occurrence Embedding

Collaborative filtering is the one of the most successful methods used by recommendation system to solve the information overload problem. Nevertheless, most collaborative filtering only uses explicit rating information to model the user, ignoring the impact of implicit information. In addition, the...

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Bibliographic Details
Main Authors:	Wei Zeng, Jiwei Qin, Chunting Wei
Format:	Article
Language:	English
Published:	IEEE 2021-01-01
Series:	IEEE Access
Subjects:	Collaborative filtering autoencoder co-occurrence embedding recommendation system
Online Access:	https://ieeexplore.ieee.org/document/9641782/

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