한국정보처리학회:학술대회논문집 (Proceedings of the Korea Information Processing Society Conference)
- 한국정보처리학회 2019년도 춘계학술발표대회
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- Pages.273-276
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- 2019
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- 2005-0011(pISSN)
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- 2671-7298(eISSN)
DOI QR Code
레이블 전파에 기반한 커뮤니티 탐지를 이용한 영화추천시스템
Movie recommendation system using community detection based on label propagation
- 신장 캄파폰 (순천향대학교 컴퓨터학과) ;
- 비라콘 폰싸이 (순천향대학교 컴퓨터학과) ;
- 이한형 (순천향대학교 컴퓨터소프트웨어공학과) ;
- 송민혁 (순천향대학교 컴퓨터소프트웨어공학과) ;
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박두순
(순천향대학교 컴퓨터소프트웨어공학과)
- Xinchang, Khamphaphone (Dept. of Computer Science and Engineering, Soonchunhyang University) ;
- Vilakone, Phonexay (Dept. of Computer Science and Engineering, Soonchunhyang University) ;
- Lee, Han-Hyung (Dept. of Computer Software Engineering, Soonchunhyang University) ;
- Song, Min-Hyuk (Dept. of Computer Software Engineering, Soonchunhyang University) ;
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Park, Doo-Soon
(Dept. of Computer Software Engineering, Soonchunhyang University)
- 발행 : 2019.05.10
초록
There is a lot of information in our world, quick access to the most accurate information or finding the information we need is more difficult and complicated. The recommendation system has become important for users to quickly find the product according to user's preference. A social recommendation system using community detection based on label propagation is proposed. In this paper, we applied community detection based on label propagation and collaborative filtering in the movie recommendation system. We implement with MovieLens dataset, the users will be clustering to the community by using label propagation algorithm, Our proposed algorithm will be recommended movie with finding the most similar community to the new user according to the personal propensity of users. Mean Absolute Error (MAE) is used to shown efficient of our proposed method.
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