Exploring Web Access Logs with Correspondence Analysis

During the interaction of Internet users with a website, users provide information about themselves and how they respond to the site's content: where they come from, which links they click, or even where they spend most of their time. All this information is stored in a log file or a database. In this paper we will demonstrate the capabilities offered by a data analysis method (Correspondence Analysis) on web log statistics for the examination of user behavior and preferences. Specifically, we observed log statistics of a university department web site an a monthly basis, by plotting each data set on the same factorial plane. We view that this process may produce valuable results both for web-content designers and institutions with Internet presence.

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