Autoencoder-Based Recommender System Exploiting Natural Noise Removal

Autoencoder-Based Recommender System Exploiting Natural Noise Removal

Collaborative filtering (CF) is a widely used technique in recommender systems by automatically predicting the user’s latent interests based on many users’ historical rating data. To improve the performance of the CF-based recommender systems, users’ rating data shou...

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Bibliographic Details
Main Authors: Hyeseong Park, Jaeik Jeong, Kyung-Whan Oh, Hongseok Kim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Collaborative filtering
recommender system
natural noise
autoencoder
anomaly detection
Online Access:https://ieeexplore.ieee.org/document/10081363/

Internet

https://ieeexplore.ieee.org/document/10081363/

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