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Tailored responses for decision support

Published: 24 July 2005 Publication History

Abstract

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.

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Harvey, T., Decker, K., Carberry, S.: Multiagent decision support via user modeling. In: Proceedings of the Fourth International Joint Conference on Autonomous Agents and Multi Agent Systems. (2005) To appear.
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Moore, J., Foster, M.E., Lemon, O., White, M.: Generating tailored, comparative descriptions in spoken dialogue. In: Proc. of the International Florida Artificial Intelligence Research Society. (2004)
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Schmitt, C., Dengler, D., Bauer, M.: Multivariate preference models and decision making with the maut machine. In: Proc. of the Ninth International Conference on User Modeling. (2003) 297-302
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Walker, M., Whittaker, S., Stent, A., Maloor, P., Moore, J., Johnston, M., Vasireddy, G.: User tailored generation in the match multimodal dialogue system. Cognitive Science 28 (2004) 811-840

Cited By

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  • (2018)Case-studies on exploiting explicit customer requirements in recommender systemsUser Modeling and User-Adapted Interaction10.1007/s11257-008-9048-y19:1-2(133-166)Online publication date: 26-Dec-2018

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Published In

cover image Guide Proceedings
UM'05: Proceedings of the 10th international conference on User Modeling
July 2005
529 pages
ISBN:3540278850
  • Editors:
  • Liliana Ardissono,
  • Paul Brna,
  • Antonija Mitrovic

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 24 July 2005

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Cited By

View all
  • (2018)Case-studies on exploiting explicit customer requirements in recommender systemsUser Modeling and User-Adapted Interaction10.1007/s11257-008-9048-y19:1-2(133-166)Online publication date: 26-Dec-2018

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