Article ID Journal Published Year Pages File Type
392772 Information Sciences 2013 16 Pages PDF
Abstract

In this paper we introduce the idea of using a reliability measure associated to the predictions made by recommender systems based on collaborative filtering. This reliability measure is based on the usual notion that the more reliable a prediction, the less liable to be wrong. Here we will define a general reliability measure suitable for any arbitrary recommender system. We will also show a method for obtaining specific reliability measures specially fitting the needs of different specific recommender systems.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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