Adapting recommendations organization to user preferences

Li CHEN*

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

Given the overwhelming information appearing in the current web environment, recommendations have been increasingly applied to assist users in handling with the information overload and locating items that interest them. As a different way to generate and display recommendations, the organization interface has been found being more effective in building users' trust. In this paper, we propose a novel approach to generating the organization of recommendations, with the goal of making it dynamically adaptive to different conditions of user preferences (i.e. "incomplete preferences" and/or "preference conflicts"), so as to optimally support users' preference construction process and accurate decisions.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Pages58-61
Number of pages4
DOIs
Publication statusPublished - 2009
Event2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009 - Milano, Italy
Duration: 15 Sep 200918 Sep 2009

Publication series

NameProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Volume3

Conference

Conference2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2009
Country/TerritoryItaly
CityMilano
Period15/09/0918/09/09

Scopus Subject Areas

  • Computer Networks and Communications
  • Software

User-Defined Keywords

  • Organization interface
  • Preference elicitation
  • Web recommendations

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