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Conference papers
Towards Preference Relations in Recommender Systems
Abstract : Collaborative ltering-based recommender systems exploit user preferences about items to provide them with recommendations. These preferences are generally ratings. However, choosing a rating is no easy task for any user; the rating scale is usually reduced and the rating values given by the users may be in uenced by many factors. The rat- ings are thus not completely trustworthy. This paper is a rst attempt at studying the expression of preferences in collaborative ltering under the form of preference relations instead of ratings. When using preference relations, users are asked to compare pairs of resources. We propose new measures to compute recommendations using preference relations. First experiments have been conducted on a state of the art corpus of the rec- ommender systems domain and show that this new approach compares with, and in some cases improves the classical one.
https://hal.inria.fr/inria-00523496
Contributor : Armelle Brun Connect in order to contact the contributor
Submitted on : Tuesday, October 5, 2010 - 2:14:39 PM
Last modification on : Friday, February 26, 2021 - 3:28:08 PM
Contributor : Armelle Brun Connect in order to contact the contributor
Submitted on : Tuesday, October 5, 2010 - 2:14:39 PM
Last modification on : Friday, February 26, 2021 - 3:28:08 PM