Multi-agent decision support via user-modeling
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Multivariate preference models and decision making with the MAUT machine
UM'03 Proceedings of the 9th international conference on User modeling
The Knowledge Engineering Review
Case-studies on exploiting explicit customer requirements in recommender systems
User Modeling and User-Adapted Interaction
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Individuals differ in the resources that they are willing to expend on information gathering and on the importance of different kinds of information. We have developed MADSUM, a system that takes into account user constraints on resources, the significance of propositions that might be included in a response, and the user's priorities with respect to resource and content attributes; MADSUM produces a response tailored to individual users in a decision support setting.