유비쿼터스 환경에서 소셜 검색을 위한 레벨화된 데이터 처리 기법 (Levelized Data Processing Method for Social Search in Ubiquitous Environment)

서지정보

· 발행기관 : (사)디지털산업정보학회
· 수록지 정보 : (사)디지털산업정보학회 논문지 / 10권 / 1호 / 61 ~ 71페이지
· 저자명 : 김성림, 권준희

초록

Social networking services have changed the way people communicate. Rapid growth ofinformation generated by social networking services requires effective search methods to giveuseful results. Over the last decade, social search methods have rapidly evolved. Traditionaltechniques become unqualified because they ignore social relation data. Existing socialrecommendation approaches consider social network structure, but social context has notbeen 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 ubiquitousenvironment. We study previous researches about social search methods in ubiquitousenvironment. Our method is a new paradigm of levelelized data processing method whichcan utilize information in social networks, using location and friendship weight. Severalexperiments are performed and the results verify that the proposed method’s performance isbetter than other existing method.

영어초록

Social networking services have changed the way people communicate. Rapid growth ofinformation generated by social networking services requires effective search methods to giveuseful results. Over the last decade, social search methods have rapidly evolved. Traditionaltechniques become unqualified because they ignore social relation data. Existing socialrecommendation approaches consider social network structure, but social context has notbeen 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 ubiquitousenvironment. We study previous researches about social search methods in ubiquitousenvironment. Our method is a new paradigm of levelelized data processing method whichcan utilize information in social networks, using location and friendship weight. Severalexperiments are performed and the results verify that the proposed method’s performance isbetter than other existing method.

참고자료

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