Reaching Agreement in an Interactive Group Recommender SystemGroup Recommender System • January 8th, 2020
Abstract: For a group recommender system, it is important to recommend an item that can be accepted by all group members. This paper proposes a group recommender system where preferences elicited from group members are used to select an item that is agreeable to all of them. In this system, an agent that corresponds to each group member manages estimation of the corresponding user’s preferences. Virtual negotiation is conducted among these agents to find an appropriate item to recommend, and the selected item is presented to group members. If it is not accepted, the system asks members to relax their requirements and accordingly updates its recommendation. We report and discuss the results of simulation experiments with different personality types of conflict resolution and different conversation strategies.
