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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Podrobná bibliografia
Vydané v:	Algorithms Ročník 17; číslo 12; s. 561
Hlavní autori:	Fraihat, Salam, Shambour, Qusai, Al-Betar, Mohammed Azmi, Makhadmeh, Sharif Naser
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.12.2024
Predmet:	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
ISSN:	1999-4893, 1999-4893
On-line prístup:	Získať plný text
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