한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2019년도 춘계학술발표대회
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- Pages.267-269
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- 2019
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
소셜 네트워크 분석 및 정규화된 할인 누적 이익을 이용한 영화 추천 시스템
Movie Recommendation System using Social Network Analysis and Normalized Discounted Cumulative Gain
- 비라콘 폰싸이 (순천향대학교 컴퓨터학과) ;
- 신장 캄파폰 (순천향대학교 컴퓨터학과) ;
- 이한나 (순천향대학교 컴퓨터소프트웨어공학과) ;
- 박두순 (순천향대학교 컴퓨터소프트웨어공학과)
- Vilakone, Phonexay (Dept. of Computer Science and Engineering, Soonchunhyang University) ;
- Xinchang, Khamphaphone (Dept. of Computer Science and Engineering, Soonchunhyang University) ;
- Lee, Hanna (Dept. of Computer Software Engineering, Soonchunhyang University) ;
- Park, Doo-Soon (Dept. of Computer Software Engineering, Soonchunhyang University)
- 발행 : 2019.05.10
초록
There are many recommendation systems offer an effort to get better preciseness the information to the users. In order to further improve more accuracy, the social network analysis method which is used to analyze data to community detection in social networks was introduced in the recommendation system and the result shows this method is improving more accuracy. In this paper, we propose a movie recommendation system using social network analysis and normalized discounted cumulative gain with the best accuracy. To estimate the performance, the collaborative filtering using the k nearest neighbor method, the social network analysis with collaborative filtering method and the proposed method are used to evaluate the MovieLens data. The performance outputs show that the proposed method get better the accuracy of the movie recommendation system than any other methods used in this experiment.
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