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논문검색

TV Program Searching and Ranking for Supporting TV Personalization

초록

영어

Current, so many TV program contents are being provided to viewers on various channels through internet protocol televisions called IPTVs. Therefore the development of an effective searching scheme to enable viewers find and consume their preferred contents has been being important issue. This paper proposes a TV program contents searching scheme based on contents ontologies, viewer category, and usage examination. Our scheme search TV programs by computing the similarity between contents ontologies, filter the candidates with preferences of viewers, and return the list of top-N ranked program contents. As results of experiments, we know that our scheme has about 80% precision.

목차

Abstract
 1. Introduction
 2. TV Program Contents Ontology Definition
 3. The Proposed Searching Scheme
  3.1. Viewer Preference Modeling
  3.2. Similarity Computation between Program Ontologies
  3.3. Filtering and Ranking the Candidate Program List
 4. Experiment
 5. Conclusion
 Acknowledgements
 References

저자정보

  • Jungmin Kim Department of Computer Engineering, Daejin University, Pocheon, Korea
  • Hyunsook Chung Department of Computer Engineering, Chosun University, Gwangju, Korea
  • Gukboh Kim Department of Computer Engineering, Daejin University, Pocheon, Korea

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