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.
This research has been funded by the Kyungnam University Masan, Korea (2005).
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Kim, I.L., Choi, BJ., Park, KS. (2006). Design and Implementation of Web Usage Mining System Using Page Scroll. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751649_100
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DOI: https://doi.org/10.1007/11751649_100
Publisher Name: Springer, Berlin, Heidelberg
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