Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
392772 | Information Sciences | 2013 | 16 Pages |
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
Authors
Antonio Hernando, Jesús Bobadilla, Fernando Ortega, Jorge Tejedor,