From Rating Predictions to Reliable Recommendations in Collaborative Filtering: The Concept of Recommendation Reliability Classes

Recommender systems aspire to provide users with recommendations that have a high probability of being accepted. This is accomplished by producing rating predictions for products that the users have not evaluated, and, afterwards, the products with the highest prediction scores are recommended to th...

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Главные авторы:	Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2025-04-01
Серии:	Big Data and Cognitive Computing
Предметы:	collaborative filtering recommender systems rating predictions reliable recommendations reliability classes evaluation
Online-ссылка:	https://www.mdpi.com/2504-2289/9/4/106
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