Uncertainty in Artificial Intelligence
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Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation
Carmel Domshlak, Thorsten Joachims
Abstract:
Tackling the problem of ordinal preference revelation and reasoning, we propose a novel methodology for generating an ordinal utility function from a set of qualitative preference statements. To the best of our knowledge, our proposal constitutes the first nonparametric solution for this problem that is both efficient and semantically sound. Our initial experiments provide strong evidence for practical effectiveness of our approach.
Keywords:
Pages: 169-177
PS Link:
PDF Link: /papers/05/p169-domshlak.pdf
BibTex:
@INPROCEEDINGS{Domshlak05,
AUTHOR = "Carmel Domshlak and Thorsten Joachims",
TITLE = "Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation",
BOOKTITLE = "Proceedings of the Twenty-First Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-05)",
PUBLISHER = "AUAI Press",
ADDRESS = "Arlington, Virginia",
YEAR = "2005",
PAGES = "169--177"
}


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