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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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Автори: Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2025-04-01
Серія:Big Data and Cognitive Computing
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Онлайн доступ:https://www.mdpi.com/2504-2289/9/4/106
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