Advanced Issues of E-Commerce and Web-Based Information Systems, International Workshop on (2002)
Newport Beach, California
June 26, 2002 to June 28, 2002
Kurt D. Fenstermacher , University of Arizona
Mark Ginsburg , University of Arizona
"Garbage in.garbage out" is a well-known phrase in computer analysis, and one that comes to mind when mining Web data to draw conclusions about Web users. The challenge is that data analysts wish to infer patterns of client-side behavior from server-side data. However, because only a fraction of the user?s actions ever reach the Web server, analysts must rely on incomplete data. In this paper, we propose a client-side monitoring system that is unobtrusive and supports flexible data collection. Moreover, the proposed framework encompasses client- side applications beyond the Web browser. Expanding monitoring beyond the browser to incorporate standard office productivity tools enables analysts to derive a much richer and more accurate picture of user behavior on the Web.
data mining, human-computer interaction, personalization, cross-application, client-side
M. Ginsburg and K. D. Fenstermacher, "Mining Client-Side Activity for Personalization," Advanced Issues of E-Commerce and Web-Based Information Systems, International Workshop on(WECWIS), Newport Beach, California, 2002, pp. 205.