Journal of Korea Society of Digital Industry and Information Management (디지털산업정보학회논문지)

Korea Society of Digital Industry and Information Management (디지털산업정보학회)
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Recommendation Technique using Social Network in Internet of Things Environment

사물인터넷 환경에서 소셜 네트워크를 기반으로 한 정보 추천 기법

  • 김성림 (서일대학교 인터넷정보과) ;
  • 권준희 (경기대학교 컴퓨터과학과)
  • Received : 2015.02.21
  • Accepted : 2015.03.09
  • Published : 2015.03.30
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Abstract

Recently, Internet of Things (IoT) have become popular for research and development in many areas. IoT makes a new intelligent network between things, between things and persons, and between persons themselves. Social network service technology is in its infancy, but, it has many benefits. Adjacent users in a social network tend to trust each other more than random pairs of users in the network. In this paper, we propose recommendation technique using social network in Internet of Things environment. We study previous researches about information recommendation, IoT, and social IoT. We proposed SIoT_P(Social IoT Prediction) using social relationships and item-based collaborative filtering. Also, we proposed SR(Social Relationship) using four social relationships (Ownership Object Relationship, Co-Location Object Relationship, Social Object Relationship, Parental Object Relationship). We describe a recommendation scenario using our proposed method.

Keywords

References

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