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

Korea Society of Digital Industry and Information Management (디지털산업정보학회)
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Things Recommendation Method using Social Relationship in Social Internet of Things

소셜 사물인터넷에서 소셜 관계를 이용한 사물 추천 기법

  • 김성림 (서일대학교 인터넷정보과) ;
  • 권준희 (경기대학교 컴퓨터과학과)
  • Received : 2014.08.13
  • Accepted : 2014.08.28
  • Published : 2014.09.30
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Abstract

The Internet of Things(IoT) is a new promising technology made from a variety of technology. The IoT links the objects or people, then enabling anytime, anywhere connectivity for anything and not only for anyone. Social networking services have changed the way people communicate. Recently, new research challenges in many areas of Internet of things and social networking services are fired. In this paper, we propose things recommendation method using social relationship in social Internet of Things. We study previous researches about social network service, IoT, and social IoT. We proposed SIoT_FW(Social IoT Friendship Weight) using static and a dynamic social friendship weight. Also, our method considers four social relationships (Ownership Object Relationship, Co-Location Object Relationship, Social Object Relationship, Parental Object Relationship). We presents a music device scenario using our proposed method.

Keywords

References

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