Towards a Better Understanding of Negotiation in Group Recommender Systems

Abstract

Group recommender systems identify items that fit all group members’ preferences. The final step—the group negotiation for finding consensus on the item to choose—is essential for user satisfaction with the system and its outcome. It typically follows the acquisition of information about users’ preferences as well as the generation and presentation of recommendations. This paper contributes to a better understanding of requirements for negotiation support in group recommender systems. In particular, we report on preliminary results of our exploratory study on the effect of three different negotiation conditions on user satisfaction.