Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation
Artificial Intelligence
2012-07-09 v1 Computer Science and Game Theory
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
Cite
@article{arxiv.1207.1390,
title = {Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation},
author = {Carmel Domshlak and Thorsten Joachims},
journal= {arXiv preprint arXiv:1207.1390},
year = {2012}
}
Comments
Appears in Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI2005)