Contents Recommendation Scheme Considering User Activity in Social Network Environments

소셜 네트워크 환경에서 사용자 행위를 고려한 콘텐츠 추천 기법

  • 고건식 (충북대학교 빅데이터학과) ;
  • 김병훈 (충북대학교 빅데이터학과) ;
  • 김대윤 (충북대학교 빅데이터학과) ;
  • 최민웅 (충북대학교 빅데이터학과) ;
  • 임종태 (충북대학교 정보통신공학과) ;
  • 복경수 (충북대학교 정보통신공학과) ;
  • 유재수 (충북대학교 정보통신공학과)
  • Received : 2016.10.24
  • Accepted : 2016.11.21
  • Published : 2017.02.28


With the development of smartphones and online social networks, users produce a lot of contents and share them with each other. Therefore, users spend time by viewing or receiving the contents they do not want. In order to solve such problems, schemes for recommending useful contents have been actively studied. In this paper, we propose a contents recommendation scheme using collaborative filtering for users on online social networks. The proposed scheme consider a user trust in order to remove user data that lower the accuracy of recommendation. The user trust is derived by analyzing the user activity of online social network. For evaluating the user trust from various points of view, we collect user activities that have not been used in conventional techniques. It is shown through performance evaluation that the proposed scheme outperforms the existing scheme.


Online Social Network;User Activity;User Trust;Content Recommendation


Supported by : 정보통신기술진흥센터, 한국연구재단


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