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학술대회 An Automatic Personal TV Scheduler Based on HMM for Intelligent Broadcasting Services
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저자
Agus Syawal Yudhistira, 김문철, 김휘용, 이한규
발행일
200612
출처
Pacific-Rim Symposium on Image and Video Technology (PSIVT) 2006 (LNCS 4319), v.4319, pp.1123-1132
DOI
https://dx.doi.org/10.1007/11949534_113
협약과제
06MR1100, 지능형 통합정보 방송(SmaR TV) 기술개발, 안치득
초록
In the future television broadcasting a flood of information from various sources will not always be welcomed by everyone. The need of accessing specific information as required is becoming a necessity. We are interested to make the life of television consumer easier by providing an intelligent television set which can adaptively proposed certain shows to the viewer based on the user historical consumed shows. The method proposed is by utilizing Hidden Markov Model (HMM) to model the user preference of kind of genres the viewer will watch based on recorded genres for several weeks time. The result is satisfactory for users which have middle to high consistent preference of television consumption. © 2006 Springer-Verlag.
KSP 제안 키워드
Television Consumption, broadcasting services, hidden Markov Model, user preference