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A Comprehensive Overview of Recommender System and Sentiment Analysis
[article]
2021
arXiv
pre-print
Recommender system has been proven to be significantly crucial in many fields and is widely used by various domains. Most of the conventional recommender systems rely on the numeric rating given by a user to reflect his opinion about a consumed item; however, these ratings are not available in many domains. As a result, a new source of information represented by the user-generated reviews is incorporated in the recommendation process to compensate for the lack of these ratings. The reviews
arXiv:2109.08794v1
fatcat:qzp73hak2navvfdvykk6n2ihbe