AIGTJul 4, 2012

Unstructuring User Preferences: Efficient Non-Parametric Utility Revelation

arXiv:1207.1390v124 citations
Originality Highly original
AI Analysis

This addresses the problem of ordinal preference revelation for users in decision-making systems, offering a new efficient solution.

The paper tackles the problem of generating an ordinal utility function from qualitative preference statements, proposing a novel nonparametric method that is efficient and semantically sound, with initial experiments showing strong evidence of practical effectiveness.

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.

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