SNS에서 사회연결망 기반 추천과 협업필터링 기반 추천의 비교

• 영문명: Comparison of Recommendation Using Social Network Analysis with Collaborative Filtering in Social Network Sites
• 발행기관: 한국IT서비스학회
• 저자명: 박상언(Sangun Park)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제13권 제2호, 173~184쪽, 전체 11쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2014.06.30

영문 초록

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.

목차

Abstract

1. Introduction

2. Overview of Social Network Analysis and Collaborative Filtering

3. Analysis on Recommendation using SNA and CF in SNSs

4. Research Trends and lmplications of Recommendationin SNSs

5. Conclusion

참고문헌

키워드

Social Filtering Collaborative Filtering Social Information Social Network Site