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Content Selection Model for Adaptive Content Delivery

  • Chen Ding
  • Shutao Zhang
  • Chi-Hung Chi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3756)

Abstract

In order to adapt content delivery to different client capabilities and preferences, we propose a content selection model to automatically classify HTML content based on its functionality, then map client descriptions on preferences and device capabilities into our classification scheme, and finally selectively deliver the content which users want and which devices can handle. The experiment shows that our content selection model could reduce HTML object size, object latency and page latency. Therefore, it is effective in saving network resources and improving clients’ access experiences.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Chen Ding
    • 1
  • Shutao Zhang
    • 2
  • Chi-Hung Chi
    • 3
  1. 1.School of Computer ScienceRyerson UniversityCanada
  2. 2.School of ComputingNational University of SingaporeSingapore
  3. 3.School of SoftwareTsinghua UniversityBeijingChina

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