Title :
Probabilistic Modeling for Context-Aware Service in Smart TV
Author :
Kyon-Mo Yang ; Sung-Bae Cho
Author_Institution :
Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea
Abstract :
Smart TV services which have been provided a one-way or simple united content by content business mostly focus on content services. The smart TV contains a variety of functions causes a problem that the user has to learn the functions. To solve this problem, we propose context-aware service in the smart TV using modular Bayesian networks. Bayesian network can be designed by domain knowledge when there is not enough data. It has been emerged as a powerful technique for context-aware services. We verify the proposed method is useful. It is prove by measuring average of performance of service which gives the result 88% and conducting subjective test provide the result of 76.5.
Keywords :
belief networks; digital television; telecommunication computing; ubiquitous computing; context-aware service; modular Bayesian networks; probabilistic modeling; smart TV services; Bayes methods; Context; Context-aware services; Knowledge engineering; Robot sensing systems; TV; Time complexity; Bayesian network; Context-aware service; Domain knowledge; Smart TV;
Conference_Titel :
Intelligent Systems Modelling & Simulation (ISMS), 2013 4th International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4673-5653-4
DOI :
10.1109/ISMS.2013.64
