상세정보
학술대회
Topic Model-based Recommendation System for Media Re-creation Service
- 발행일
- 201610
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2016, pp.132-134
- 협약과제
- 16MS1600, 퍼스널 미디어가 연결?공유?결합하여 재구성 가능케 하는 복합 모달리티 기반 미디어 응용 프레임워크 개발, 문경덕
- 초록
- This paper proposes a topic model-based recommendation system that predicts a user's rating score of a searched media unit for media re-creation service. The purpose of the proposed recommender is to perform a context-Aware recommendation of suitable media units for a user's purpose and context. For this purpose, it uses a topic vector based on the metadata of the media to compare the similarity of subject of recreated and re-creating media. In the experiment to validate the concept of the proposed recommender, the efficiency of recommendation was improved while indicating the MAE (Mean Absolute Error) is lowered without significant time consumption.
- KSP 제안 키워드
- Mean Absolute Error, Media re-creation, Recommendation System, Time consumption, Topic vector, Vector based, context-aware Recommendation, model-based, rating score, topic model