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

Korea Society of Digital Industry and Information Management (디지털산업정보학회)
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Progressive Retrieval Method using Intimacy between SNS Users in Internet of Things

사물인터넷에서 소셜 네트워크 사용자 친밀도를 이용한 점진적 검색 기법

  • 김성림 (서일대학교 소프트웨어공학과) ;
  • 권준희 (경기대학교 컴퓨터공학부)
  • Received : 2018.08.23
  • Accepted : 2018.08.28
  • Published : 2018.09.30
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Abstract

Social network services allow you to share your thoughts and preferences more easily. They share your views with a large number of people who are friends with you without restriction of time or place. In the IoT environment, the amount of data is massively increasing as social network services spread rapidly. This change in the environment is driving the need for research into new retrieval methods that are different from conventional retrieval methods. In this paper, we propose a progressive retrieval method using the intimacy of social network users in the IoT. The first thing is to extract the user with the highest intimacy by using the property that the number of the owner of the information stored in the IoT environment is small. By accessing information in objects owned by these extracted users, the amount of information retrieved is reduced. It also improves retrieval efficiency by gradually retrieving information according to the user's level of interest. We present a new retrieval method and algorithm. The scenario also illustrates the effectiveness of the proposed method.

Keywords

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