Social and personal context modeling for contact list recommendation on mobile device

Jun Ki Min, Hee Taek Kim, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

This paper presents a social and personal context modeling method on mobile device. It infers user's contexts, such as amity with others and emotional state, from uncertain logs stored in mobile devices using Bayesian networks. Proper services are then provided to the user based on the semantic compatibility between current and past contexts. Here, the contexts are hierarchically matched after each context is expanded to the context-tree using domain ontology. We have implemented a contact list recommendation application on mobile device that recommends phone numbers in a phonebook according to the user's situation. Experimental results on real-user data show that the method provides an efficient and accurate means for mobile based social networking applications.

Original languageEnglish
Title of host publicationProceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
Pages381-384
Number of pages4
DOIs
Publication statusPublished - 2008
Event2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008 - Sydney, NSW, Australia
Duration: 2008 Dec 92008 Dec 12

Publication series

NameProceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008

Other

Other2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2008
Country/TerritoryAustralia
CitySydney, NSW
Period08/12/908/12/12

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software

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