Enhancing Recommender System with Collaborative Filtering and User Experiences Filtering

Enhancing Recommender System with Collaborative Filtering and User Experiences Filtering

Recommender systems have become an essential part in many applications and websites to address the information overload problem. For example, people read opinions about recommended products before buying them. This action is time-consuming due to the number of opinions available. It is necessary to...

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Bibliographic Details
Main Authors:	Silvana Vanesa Aciar, Ramon Fabregat, Teodor Jové, Gabriela Aciar
Format:	Article
Language:	English
Published:	MDPI AG 2021-12-01
Series:	Applied Sciences
Subjects:	recommender system collaborative filtering opinion mining user experience
Online Access:	https://www.mdpi.com/2076-3417/11/24/11890

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