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Learning the Role and Behavior of Users in Group Decision Making

Group decisions arise in various settings, from mundane everyday tasks such as picking a movie to watch at home, to more involved processes such as that of a hiring committee, and require the interplay among group members, which often leads to compromises. Recommender systems, although primarily designed to cater for individuals, have been extended to support group decision making. However, they are hampered by the lack of models that describe the dynamics in group decisions. In this paper, we present ideas about how to extract more appropriate models for explaining and predicting group decisions, by observing decision outcomes.