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Design and Implementation of Web Usage Mining System Using Page Scroll

  • I L Kim
  • Bong-Joon Choi
  • Kyoo-Seok Park
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3984)

Abstract

A web browser of a limited size has difficulty in expressing on a screen information about goods like an Internet shopping mall. Page scrolling is used to overcome such a limitation in expression. For a web page using page scrolling, it is impossible to use click-stream based analysis in analyzing interest for each area by page scrolling. In this study, a web-using mining system is presented, designed, and implemented using page scrolling to track the position of the scroll bar and movements of the window cursor regularly within a window browser for real-time transfer to a mining server and to analyze user’s interest by using information received from the analysis of the visual perception area of the web page.

Keywords

Recognition Rate Document Object Model Mining Server Visual Block Internet Shopping Mall 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • I L Kim
    • 1
  • Bong-Joon Choi
    • 1
  • Kyoo-Seok Park
    • 1
  1. 1.Dept. of Computer EngineeringKyungnam UniversityMasan, KyongnamKorea

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