A novel rating prediction method based on user relationship and natural noise
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DOI: 10.1007/s11042-017-4481-8
Abstract: Rating prediction is a hot spot in the research of recommender systems. There are lots of methods in this field such as collaborative filtering. However, few of these approaches take users’ friendship relationships into consideration,… read more here.
Keywords: rating; novel rating; rating prediction; natural noise ... See more keywords
Autoencoder-Based Recommender System Exploiting Natural Noise Removal
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DOI: 10.1109/access.2023.3262026
Abstract: 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’… read more here.
Keywords: system; autoencoder based; noise; based recommender ... See more keywords