An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets

An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets

Collaborative filtering (CF) approaches generate user recommendations based on user similarities. These similarities are calculated based on the overall (explicit) user ratings. However, in some domains, such ratings may be sparse or unavailable. User reviews can play a significant role in such case...

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Bibliographic Details
Main Authors:	Sumaia AL-Ghuribi, Shahrul Azman Mohd Noah, Mawal Mohammed
Format:	Article
Language:	English
Published:	PeerJ Inc. 2023-08-01
Series:	PeerJ Computer Science
Subjects:	Collaborative filtering Recommender systems User reviews Sentiment analysis
Online Access:	https://peerj.com/articles/cs-1525.pdf

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