Comparison of Recommendation Using Social Network Analysis with Collaborative Filtering in Social Network Sites

SNS에서 사회연결망 기반 추천과 협업필터링 기반 추천의 비교

  • 박상언 (경기대학교 경상대학 경영정보학과)
  • Received : 2014.03.24
  • Accepted : 2014.05.29
  • Published : 2014.06.30


As social network services has become one of the most successful web-based business, recommendation in social network sites that assist people to choose various products and services is also widely adopted. Collaborative Filtering is one of the most widely adopted recommendation approaches, but recommendation technique that use explicit or implicit social network information from social networks has become proposed in recent research works. In this paper, we reviewed and compared research works about recommendation using social network analysis and collaborative filtering in social network sites. As the results of the analysis, we suggested the trends and implications for future research of recommendation in SNSs. It is expected that graph-based analysis on the semantic social network and systematic comparative analysis on the performances of social filtering and collaborative filtering are required.


Supported by : Kyonggi University


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