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Conference Paper An Automatic Personal TV Scheduler Based on HMM for Intelligent Broadcasting Services
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Authors
Agus Syawal Yudhistira, Mun Churl Kim, Hie Yong Kim, Han Kyu Lee
Issue Date
2006-12
Citation
Pacific-Rim Symposium on Image and Video Technology (PSIVT) 2006 (LNCS 4319), v.4319, pp.1123-1132
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1007/11949534_113
Abstract
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.