Deep Variational Embedding Representation on Neural Collaborative Filtering Recommender Systems

Deep Variational Embedding Representation on Neural Collaborative Filtering Recommender Systems

Visual representation of user and item relations is an important issue in recommender systems. This is a big data task that helps to understand the underlying structure of the information, and it can be used by company managers and technical staff. Current collaborative filtering machine learning mo...

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Bibliographic Details
Main Authors:	Jesús Bobadilla, Jorge Dueñas, Abraham Gutiérrez, Fernando Ortega
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Series:	Applied Sciences
Subjects:	embedding collaborative filtering variational method deep learning recommender systems recommendation explanations
Online Access:	https://www.mdpi.com/2076-3417/12/9/4168

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