Abstract
Abstract Personalization of Web pages relates closely to targeting the customer and increasing customer intimacy thereby leading to increased branding and, hopefully, consumer electronic commerce. Profiling individuals on the Web allows us not only to select which message to deliver to each individual, but also helps us learn about the needs and interests of each person. In this paper, a modified tracking analysis method to obtain user preference inclination was proposed and applied to simulating ICP (Internet content provider) Web site. SNT (browsing sequence, node, and time) data extracted from the simulating Web site database are used extensively for our analysis. The ability to track user browsing behavior down to individual mouse clicks has brought the vendor and end customer closer than ever before.
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