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Recommendation Method for Mobile Contents Service based on Context Data in Ubiquitous Environment

유비쿼터스 환경에서 상황 데이터 기반 모바일 콘텐츠 서비스를 위한 추천 기법

  • 권준희 (경기대학교 컴퓨터과학과) ;
  • 김성림 (서일대학 인터넷정보과)
  • Received : 2010.02.26
  • Accepted : 2010.04.05
  • Published : 2010.06.30

Abstract

The increasing popularity of mobile devices, such as cellular phones, smart phones, and PDAs, has fostered the need to recommend more effective information in ubiquitous environments. We propose the recommendation method for mobile contents service using contexts and prefetching in ubiquitous environment. The proposed method enables to find some relevant information to specific user's contexts and computing system contexts. The prefetching has been applied to recommend to user more effectively. Our proposed method makes more effective information recommendation. The proposed method is conceptually comprised of three main tasks. The first task is to build a prefetching zone based on user's current contexts. The second task is to extract candidate information for each user's contexts. The final task is prefetch the information considering mobile device's resource. We describe a new recommendation.

Keywords

References

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