Group Decision Making Through Mediated Discussions

Daniel Kudenko; Mathias Bauer; Dietmar Dengler

In: Peter Brusilovsky; Albert T. Corbett; Fiorella De Rosis (Hrsg.). Proceedings of the 9th International Conference on User Modeling. International Conference on User Modeling (UM-2003), June 22-26, Johnstown, PA, USA, Pages 238-247, Lecture Notes in Computer Science (LNCS), Vol. 2702, ISBN 3-540-40381-7, Springer, Berlin, Heidelberg, 2003.


To date, product recommendation systems have mainly been looked at from a single-agent perspective, where only the interests of a single user are taken into account. We extend this scenario and consider the case where multiple users are planning a joint purchase, and therefore many (potentially conflicting) interests have to be considered. In this paper we present an overview of a system that assists a group of users to reach a joint decision on an online catalogue purchase. This is done by acquiring individual user models and using these models to mediate a kind of group discussion with the goal to arrive at a compromise that is acceptable to all group members.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence