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A target advertisement system based on TV viewer’s profile reasoning

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Abstract

The traditional broadcasting services such as terrestrial, satellite and cable broadcasting have been unidirectional mass media regardless of TV viewer’s preferences. Recently rich media streaming has become possible via the broadband networks. Furthermore, since bidirectional communication is possible, personalcasting such as personalized streaming service has been emerging by taking into account the user’s preference on content genres, viewing times and actors/actresses etc. Accordingly personal media becomes an important means for content provision service in addition to the traditional broadcasting service as mass media. In this paper, we introduce a user profile reasoning method for TV viewers. The user profile reasoning is made in terms of genre preference and TV viewing times for TV viewer’s groups in different genders and ages. For user profiling reasoning, the TV viewing history data is used to train the proposed user profiling reasoning algorithm which allows for target advertisement for different age/gender groups. To show the effectiveness of our proposed user profile reasoning method, we present plenty of the experimental results by using real TV usage history.

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References

  1. Bozios T, Lekakos G, Skoularidou V, Chorianopoulos K (2001) Advanced techniques for personalised advertising in a digital TV environment: the iMEDIA system. Proceedings of The E-business and E-work conference, pp 1025–1031

  2. Katsaros D, Manolopoulos Y (2004) Broadcast program generation for webcasting. Data Knowl Eng 49(1):1–21

    Article  Google Scholar 

  3. Korea Broadcasting Advertising Corporation (2005) Media & consumer research 2004—survey on consumer pattern. Retrieved September 03, 2005, from http://www.kobaco.co.kr/kor/infor-mation/studydata/studydata_research_annual.asp

  4. Miyahara K, Pazzani MJ (2004) Collaborative filtering with the simple bayesian classifier. Proceedings of the Sixth Pacific Rim international conference on artificial intelligence PRICAI 2000, pp 679–689

  5. Shahabi C, Faisal A, Kashani FB, Faruque J (2000) INSITE: a tool for interpreting users interaction with a web space. Proceeding of 26th international conference on very large databases, pp 635–638

  6. Yu Z, Zhou X (2004) TV3P: an adaptive assistant for personalized TV. IEEE Trans Consum Electron 50(1):393–399

    Article  Google Scholar 

  7. Yuan W, Liu J, Zhou HB (2004) An improved KNN method and its application to tumor diagnosis. Proceedings of the 3rd international conference on machine learning and cybernetics, pp 2836–2841

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Authors and Affiliations

  1. Information and Communications University, 119 Munji Street, Yuseong-gu, Daejeon, 305-732, Korea

    Jeongyeon Lim, Munjo Kim, Bumshik Lee & Munchurl Kim

  2. Electronics and Telecommunications Research Institute, Daejeon, Korea

    Heekyung Lee & Han-kyu Lee

Authors
  1. Jeongyeon Lim
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  2. Munjo Kim
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  3. Bumshik Lee
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  4. Munchurl Kim
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  5. Heekyung Lee
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  6. Han-kyu Lee
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Corresponding author

Correspondence to Jeongyeon Lim.

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Lim, J., Kim, M., Lee, B. et al. A target advertisement system based on TV viewer’s profile reasoning. Multimed Tools Appl 36, 11–35 (2008). https://doi.org/10.1007/s11042-006-0079-2

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  • DOI: https://doi.org/10.1007/s11042-006-0079-2

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