Compromise in negotiation: exploiting worth functions over states
Artificial Intelligence
Let's browse: a collaborative Web browsing agent
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
A Framework for Argumentation-Based Negotiation
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
PolyLens: a recommender system for groups of users
ECSCW'01 Proceedings of the seventh conference on European Conference on Computer Supported Cooperative Work
Adaptive provision of evaluation-oriented information: tasks and techniques
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
IEEE Transactions on Knowledge and Data Engineering
Generating and evaluating evaluative arguments
Artificial Intelligence
Intelligent Decision Technologies
Managing uncertainty in group recommending processes
User Modeling and User-Adapted Interaction
Generating and evaluating evaluative arguments
Artificial Intelligence
Interface and interaction design for group and social recommender systems
Proceedings of the fifth ACM conference on Recommender systems
Dealing with emotional factors in agent based ubiquitous group decision
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
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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.