Deep Matrix Factorization Approach for Collaborative Filtering Recommender Systems

Deep Matrix Factorization Approach for Collaborative Filtering Recommender Systems

Providing useful information to the users by recommending highly demanded products and services is a fundamental part of the business of many top tier companies. Recommender Systems make use of many sources of information to provide users with accurate predictions and novel recommendations of items....

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Bibliographic Details
Main Authors:	Raúl Lara-Cabrera, Ángel González-Prieto, Fernando Ortega
Format:	Article
Language:	English
Published:	MDPI AG 2020-07-01
Series:	Applied Sciences
Subjects:	deep learning recommender systems collaborative filtering matrix factorization
Online Access:	https://www.mdpi.com/2076-3417/10/14/4926

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