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Conference Paper Clip Recommendation based on Topic Similarity
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Authors
Wonjoo Park, Jeong-Woo Son, Sang-Yun Lee, Sun-Joong Kim
Issue Date
2018-02
Citation
International Conference on Advanced Communications Technology (ICACT) 2018, pp.661-663
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.23919/ICACT.2018.8323874
Project Code
17HR2700, Development of smart broadcast service platform based on the watching situation using semantic cluster to construct an open-media ecosystem, Kim Sun-Joong
Abstract
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.
KSP Keywords
Recommendation technology, Topic similarity