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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
D´ıaz-Pace,, Jorge Andrés
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Computer Science & IT Engineering

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An approach for explaining group recommendations based on negotiation information Villavicencio, Christian; Schiaffino, Silvia; D´ıaz-Pace,, Jorge Andrés; Monteserin, Ariel
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp162-173

Abstract

Explaining group recommendations has gained importance over the last years. Although the topic of recommendation explanation has received attention in the context of single-user recommendations, only a few group recommender systems (GRS) currently provide explanations for their group recommendations. However, those GRS that support explanations, provide either explanations being highly reliant on the aggregation technique used for generating the recommendation (most of them trying to tackle shortcomings of the underlying technique), or explanations with a rich content but requiring users to provide considerable additional data. In this article, we present a novel approach for providing explanations of group recommendations, which are generated by a GRS based on multi-agent negotiation techniques. An evaluation of our approach with a user study in the movies domain has shown promising results. Explanations provided by our GRS system helped users during the decision-making process, since they modified the feedback given to recommended items. This is an improvement with respect to systems that do not provide explanations for their recommendations.
Co-Authors Monteserin, Ariel Schiaffino, Silvia Villavicencio, Christian