Combining Users and Items Rankings for Group Decision Support

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 372)

Abstract

Traveling and city sightseeing are, in most cases, activities that involve small groups of users. Hence, a content personalization process, in a travel domain, requires taking into account simultaneously the preferences of different users. Moreover, a group recommendation system should also capture the possible intra-group relationships, which are fundamental features in a group decision process. In this paper, we model this problem as a multi-agent aggregation of preferences by using weighted social choice functions. In this context, weights can be extracted by analyzing the interactions of the group’s members on Online Social Networks.

Keywords

Group Decision Making Social Choice Group Recommendation Small Groups Social Networks 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Dipartimento di Ingegneria Elettrica e Tecnologie dell’InformazioneUniversita’ degli Studi di Napoli “Federico II”NapoliItaly
  2. 2.Dipartimento di FisicaUniversita’ degli Studi di Napoli “Federico II”NapoliItaly

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