Probabilistic modeling for context-aware service in Smart TV

Kyon Mo Yang, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013
Pages78-83
Number of pages6
DOIs
Publication statusPublished - 2013
Event4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013 - Bangkok, Thailand
Duration: 2013 Jan 292013 Jan 31

Publication series

NameProceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS
ISSN (Print)2166-0662
ISSN (Electronic)2166-0670

Other

Other4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013
CountryThailand
CityBangkok
Period13/1/2913/1/31

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Software
  • Modelling and Simulation
  • Theoretical Computer Science

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  • Cite this

    Yang, K. M., & Cho, S. B. (2013). Probabilistic modeling for context-aware service in Smart TV. In Proceedings - 4th International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2013 (pp. 78-83). [6498240] (Proceedings - International Conference on Intelligent Systems, Modelling and Simulation, ISMS). https://doi.org/10.1109/ISMS.2013.64