Contents Recommendation Scheme Considering User Activity in Social Network Environments

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. ■ keyword :∣Online Social Network∣User Activity∣User Trust∣Content Recommendation∣ * 본 연구는 미래창조과학부 및 정보통신기술진흥센터의 대학ICT연구센터육성 지원사업(IITP-2016-H8501-16-1013)과 2015 년도 정부(교육부), 2016년도 정부(미래창조 과학부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구사업임 (No.2015R1D1A3A01015962, No.2016R1A2B3007527) 접수일자 : 2016년 10월 24일 수정일자 : 2016년 11월 21일 심사완료일 : 2016년 11월 21일 교신저자 : 유재수, e-mail : yjs@chungbuk.ac.kr 소셜 네트워크 환경에서 사용자 행위를 고려한 콘텐츠 추천 기법 405