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An Adaptive Recommendation System for Museum Navigation

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Active Media Technology (AMT 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7669))

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Abstract

People like to attend exhibition activities, but hard to enter into the information effectively. We build new system with wireless internet and mobile device to guide visitor into the core information initiatively and effectively. The mobile guide system could classify visitor base on exhibition information and personal information that provide more suitable for users. Our system combined with semantic web technology to connect items data which users’ markup the type or property information in our system to created human portfolio. Our system is in compliance with human portfolio and metadata method to provide user information automatically and appropriately.

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Author information

Authors and Affiliations

  1. Department of Information Management, Overseas Chinese University, Taichung, Taiwan

    Jason C. Hung

  2. Department of Computer Information and Network Engineering, Lunghwa University of Science and Technology, Taoyuan County, Taiwan

    Chun-Hong Huang

  3. Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan

    Victoria Hsu

Authors
  1. Jason C. Hung
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  2. Chun-Hong Huang
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  3. Victoria Hsu
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Editor information

Editors and Affiliations

  1. Faculty of Computer and Information Sciences, Hosei University, 3-7-2, Kajino-cho, 184-8584, Koganei-shi, Tokyo, Japan

    Runhe Huang

  2. Faculty of Computer Science, University of New Brunswick, Box 440, E3B 5A3, Fredicton, NB, Canada

    Ali A. Ghorbani

  3. Department of Informatics, Systems and Communication, University of Milano Bicocca, Viale Sarca 336, 20126, Milano, Italy

    Gabriella Pasi

  4. Department of Administration Engineering, Keio University, 3-14-1 Hiyoshi, 223-8522, Kohoku-ku, Yokohama, Japan

    Takahira Yamaguchi

  5. University of Aizu, 102-C, Research Quadrangles, Tsuruga, Ikki-machi, 965-8580, Aizu-Wakamatsu City, Fukushima, Japan

    Neil Y. Yen

  6. Institute of Software, Chinese Academy of Sciences, no.4 Nan Sie Jie, Zhong Guan Cun, Hai Dian Qu, 100190, Beijing, China

    Beijing Jin

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© 2012 Springer-Verlag Berlin Heidelberg

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Hung, J.C., Huang, CH., Hsu, V. (2012). An Adaptive Recommendation System for Museum Navigation. In: Huang, R., Ghorbani, A.A., Pasi, G., Yamaguchi, T., Yen, N.Y., Jin, B. (eds) Active Media Technology. AMT 2012. Lecture Notes in Computer Science, vol 7669. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35236-2_54

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  • DOI: https://doi.org/10.1007/978-3-642-35236-2_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35235-5

  • Online ISBN: 978-3-642-35236-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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