Design and implementation of web usage mining system using page scroll

Authors:
I L Kim;Bong-Joon Choi;Kyoo-Seok Park
Affiliations:
Dept. of Computer Engineering, Kyungnam University, Masan, Kyongnam, Korea;Dept. of Computer Engineering, Kyungnam University, Masan, Kyongnam, Korea;Dept. of Computer Engineering, Kyungnam University, Masan, Kyongnam, Korea
Venue:
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part V
Year:
2006

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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.