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Preface

By Tom Gross, Judith Masthoff and Christoph Beckmann

Abstract

Group recommender systems (GRS) support groups of users in decision-making by providing shared suggestions. They generate recommendations from a broad range of alternatives that suit group members ’ tastes or needs. Previous work in the field of recommender systems has shown great contributions (e.g., systems providing shared music recommendations for public places, systems providing shared movie recommendations for groups). Research in the field of Computer-Supported Cooperative Work has a long tradition of group decision support. This workshop aims at cross-fertilising GRS and CSCW in order to tackle interesting open research questions. These include, but are not limited to: Modelling users (in particular aspects relevant for group decision making such as personality), groups, and the decision making process Handling evolving group members ’ needs and interests Supporting convergence and divergence for plurality Designing group recommenders that allow for user interaction, for example balancing and mediating conversation and negotiation, allowing critiquin

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.415.5399
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