Variational Autoencoders-Based Algorithm for Multi-Criteria Recommendation Systems

• Published in: Algorithms Vol. 17; no. 12; p. 561
• Main Authors: Fraihat, Salam, Shambour, Qusai, Al-Betar, Mohammed Azmi, Makhadmeh, Sharif Naser
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2024
• Subjects: Accuracy; Algorithms; Analysis; Artificial intelligence; collaborative filtering; Computational linguistics; Computer vision; Data compression; Deep learning; Image analysis; Language processing; Machine learning; Machine vision; multi-criteria; Multiple criterion; Natural language interfaces; Natural language processing; Neurons; Normal distribution; Online instruction; Pattern analysis; Pattern recognition; Preferences; recommender system; Recommender systems; Root-mean-square errors; Sparsity; Tourism; User experience; variational autoencoders; Germany

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...