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

Korea Society of Digital Industry and Information Management (디지털산업정보학회)
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Levelized Data Processing Method for Social Search in Ubiquitous Environment

유비쿼터스 환경에서 소셜 검색을 위한 레벨화된 데이터 처리 기법

  • 김성림 (서일대학교 인터넷정보과) ;
  • 권준희 (경기대학교 컴퓨터과학과)
  • Received : 2014.02.11
  • Accepted : 2014.03.05
  • Published : 2014.03.30
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Abstract

Social networking services have changed the way people communicate. Rapid growth of information generated by social networking services requires effective search methods to give useful results. Over the last decade, social search methods have rapidly evolved. Traditional techniques become unqualified because they ignore social relation data. Existing social recommendation approaches consider social network structure, but social context has not been fully considered. Especially, the friend recommendation is an important feature of SNSs. People tend to trust the opinions of friends they know rather than the opinions of strangers. In this paper, we propose a levelized data processing method for social search in ubiquitous environment. We study previous researches about social search methods in ubiquitous environment. Our method is a new paradigm of levelelized data processing method which can utilize information in social networks, using location and friendship weight. Several experiments are performed and the results verify that the proposed method's performance is better than other existing method.

Keywords

References

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