Compact Value-Function Representations for Qualitative Preferences.

Ronen I. Brafman, Carmel Domshlak, Tanya Kogan

Research output: Contribution to conferencePaperpeer-review

Abstract

We consider the challenge of preference elicitation in systems that help users discover the most desirable item(s) within a given database. Past work on preference elicitation focused on structured models that provide a factored representation of users’ preferences. Such models require less information to construct and support efficient reasoning algorithms. This paper makes two substantial contributions to this area: (1) Strong representation theorems for factored value functions. (2) A methodology that utilizes our representation results to address the problem
of optimal item selection.
Original languageEnglish GB
Pages51-59
Number of pages9
StatePublished - 2004
Event04, Proceedings of the 20th Conference in Uncertainty in Artificial Intelligence - Banff, Canada
Duration: 7 Jul 200411 Jul 2004

Conference

Conference04, Proceedings of the 20th Conference in Uncertainty in Artificial Intelligence
Country/TerritoryCanada
CityBanff
Period7/07/0411/07/04

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