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학술대회 Clip Recommendation based on Topic Similarity
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저자
박원주, 손정우, 이상윤, 김선중
발행일
201802
출처
International Conference on Advanced Communications Technology (ICACT) 2018, pp.661-663
DOI
https://dx.doi.org/10.23919/ICACT.2018.8323874
협약과제
17HR2700, 개방형 미디어 생태계 구축을 위한 시맨틱 클러스터 기반 시청상황 적응형 스마트방송 기술 개발, 김선중
초록
We propose a clip recommendation technology based on topic similarity. Topics of a clip can represent semantics of each contents. When the topic distributions for clips are similar, it means they are alike. In this paper, we propose a system to learn topic distributions for broadcast contents and link clips based on topics similarity of each clip. The higher the similarity is among the clips, the higher the semantic is among them. This system can be adopted clip recommendation with audiences viewing history and their interest.
키워드
clip metadata, Clip recommendation, clip search, topic model, topic similarity
KSP 제안 키워드
Recommendation technology, Topic similarity, topic model