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Conference Paper
Multi-View Topic Model Learning to Generate Audience Metadata Automatically
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- Authors
- Wonjoo PARK, Jeong-Woo Son, Sang-Yun Lee, Sun-Joong Kim
- Issue Date
- 2018-01
- Citation
- International Conference on Information Networking (ICOIN) 2018, pp.562-564
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- In this paper, we propose a study on multi-view topic model learning to generate automatically audience metadata for clips. We use closed caption of broadcasting contents, user's subscription information and viewing history. An existing topic model has limits to being utilized for user targeted services by learning topics based on subtitles or scripts without user data. To overcome this limitation, this paper proposes a multi-view topic model learning technique using multi domain data such as closed caption of broadcast contents and viewing rating of audience groups.
- KSP Keywords
- Broadcasting contents, Closed caption, Model learning, Multi-view, Subscription information, User data, topic model