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서지반출
Comparison of Recommendation Using Social Network Analysis with Collaborative Filtering in Social Network Sites
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  • Comparison of Recommendation Using Social Network Analysis with Collaborative Filtering in Social Network Sites
  • Comparison of Recommendation Using Social Network Analysis with Collaborative Filtering in Social Network Sites
저자명
박상언,Park. Sangun
간행물명
한국IT서비스학회지= Journal of the Korea society of IT services
권/호정보
2014년|13권 2호|pp.173-184 (12 pages)
발행정보
한국IT서비스학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

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.