Review paper
Deep learning techniques for rating prediction: a survey of the state-of-the-art
Abstract
With the growth of online information, varying personalization drifts and volatile behaviors of internet users, recommender systems are effective tools for information filtering to overcome the information overload problem. Recommender systems utilize rating prediction approaches i.e. predicting the rating that a user will give to a particular item, to generate ranked lists of items according to the preferences of each user in order to make...
Paper Details
Title
Deep learning techniques for rating prediction: a survey of the state-of-the-art
Published Date
Aug 19, 2020
Volume
54
Issue
1
Pages
95 - 135
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