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Communication dans un congrès

Trust-aware Recommendations

Abstract : When forming a work team, the choice of its members is a key step. We believe that a recommender system could help to select the members of a team by taking into account individual competencies criteria, as well as the relationships between people. One important aspect of this relationship is the trust that members have with each other. However, this concept of trust remains difficult to be used because it is subject to many definitions and is complex to grasp. We try in this research to shed some light on the notion of trust. In particular, we study if there is a correspondence between a previously declared trust (off-line) and an actual trust put into practice during an experiment. To use the trust to recommend profiles of competencies that stem from a wider and more reliable social network, we also investigate if the use of transitivity and reciprocity for trust makes sense.
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Contributeur : Christophe Courtin Connectez-vous pour contacter le contributeur
Soumis le : mercredi 4 août 2021 - 15:00:23
Dernière modification le : mercredi 4 août 2021 - 15:09:47
Archivage à long terme le : : vendredi 5 novembre 2021 - 18:24:38




Christophe Courtin, Miguel Tomasena. Trust-aware Recommendations. ISEEIE 2021: International Symposium on Electrical, Electronics and Information Engineering (published) / DMKD 2020: Data Mining and Knowledge Discovery (presented), Feb 2021, New York, NY, United States. pp.639-644, ⟨10.1145/3459104.3459207⟩. ⟨hal-03295394⟩



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