Toward an understanding of user-defined conditional preferences

Zhiyong Yu, Zhiwen Yu, Xingshe Zhou, Yuichi Nakamura

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

User-defined preferences in a natural style is useful in the pervasive computing environment, but bring a great challenge to understand. People often express conditional as well as independent preferences. We propose an ontology-based quantitative model for conditional preferences that aims to enhance the inference capacity of conditional preference statements and thus reduce users' workload. Different interpretations of the statements of our model are depicted and compared, including the inheritance property of the concept hierarchy in ontology, the connotation of sufficient and necessary conditions, and the bipolar property of preferences in human thinking. An experiment in the trip domain is conducted and shows the feasibility of our conditional preference model.

Original languageEnglish
Title of host publication8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009
Pages203-208
Number of pages6
DOIs
StatePublished - 2009
Event8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009 - Chengdu, China
Duration: 12 Dec 200914 Dec 2009

Publication series

Name8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009

Conference

Conference8th IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2009
Country/TerritoryChina
CityChengdu
Period12/12/0914/12/09

Keywords

  • Conditional preferences
  • Ontology
  • Preference acquisition
  • Preference model

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