Variational Autoencoders-Based Algorithm for Multi-Criteria Recommendation Systems

Variational Autoencoders-Based Algorithm for Multi-Criteria Recommendation Systems

In recent years, recommender systems have become a crucial tool, assisting users in discovering and engaging with valuable information and services. Multi-criteria recommender systems have demonstrated significant value in assisting users to identify the most relevant items by considering various as...

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Bibliographic Details
Main Authors: Salam Fraihat, Qusai Shambour, Mohammed Azmi Al-Betar, Sharif Naser Makhadmeh
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Algorithms
Subjects:
recommender system
variational autoencoders
deep learning
collaborative filtering
multi-criteria
Online Access:https://www.mdpi.com/1999-4893/17/12/561
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