Situation-Aware Personalized Information Retrieval for Mobile Internet

Sik-Sang Yau, Huan Liu, Dazhi Huang, Yisheng Yao

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

28 Scopus citations

Abstract

Recent rapid advances in Internet-based information systems and handheld devices make it possible for users to retrieve information anytime and anywhere. Existing information retrieval (IR) techniques usually require the users to spend much effort to continuously refine their queries to obtain the results they want. Since each refinement is an interaction between a user and information systems, the larger the number of interactions is, the more communication overhead and energy consumption are introduced. Due to the severe resource constraints of handheld devices, it is necessary to have an IR technique that can efficiently retrieve information for the user with only one or two interactions. In this paper, an efficient IR technique for mobile Internet by combining situation-based adaptation and profile-based personalization is presented.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Computer Society's International Computer Software and Applications Conference
Pages639-644
Number of pages6
StatePublished - 2003
EventProceedings: 27th Annual International Computer Software and Applications Conference, COMPSAC 2003 - Dallas, TX, United States
Duration: Nov 3 2003Nov 6 2003

Other

OtherProceedings: 27th Annual International Computer Software and Applications Conference, COMPSAC 2003
Country/TerritoryUnited States
CityDallas, TX
Period11/3/0311/6/03

Keywords

  • Mobile Internet
  • Personalized information retrieval
  • Personalized profile based
  • Situation-awareness

ASJC Scopus subject areas

  • Software

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