Handling conditional preferences in recommender systems

Zhiyong Yu, Zhiwen Yu, Xingshe Zhou, Yuichi Nakamura

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

12 Scopus citations

Abstract

In this paper, we propose an approach to handle conditional preferences in recommender systems. A quantitative conditional preference model based on domain knowledge is introduced. The inheritance property in concept trees and bipolar property in preference statements are adopted when interpreting conditional preference rules. Group preferences are merged from personal preferences with consideration of manipulability. A graphical user interface is developed for visualization of domain knowledge, conditional preference rules, personal and group preferences.

Original languageEnglish
Title of host publicationProceedingsc of the 13th International Conference on Intelligent User Interfaces, IUI'09
Pages407-411
Number of pages5
DOIs
StatePublished - 2009
Event13th International Conference on Intelligent User Interfaces, IUI'09 - Sanibel Island, FL, United States
Duration: 8 Feb 200911 Feb 2009

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference13th International Conference on Intelligent User Interfaces, IUI'09
Country/TerritoryUnited States
CitySanibel Island, FL
Period8/02/0911/02/09

Keywords

  • Conditional preference
  • Recommender system

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