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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Algorithms Ročník 17; číslo 12; s. 561
Hlavní autoři:	Fraihat, Salam, Shambour, Qusai, Al-Betar, Mohammed Azmi, Makhadmeh, Sharif Naser
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Basel MDPI AG 01.12.2024
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!