Web Usage Mining through Associative Models
Paolo Giudici, Paola Cerchiello
Abstract
Paolo Giudici, Paola Cerchiello
Abstract
The aim of this contribution is to show how the information, concerning the order in which the pages of a Web site are visited, can be profitably used to predict the visit behaviour at the site. Usually every click corresponds to the visualization of a Web page. Thus, a Web clickstream defines the sequence of the Web pages requested by a user. Such a sequence identifies a user session. Request access from your librarian to read this chapter's full text.
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The aim of this contribution is to show how the information, concerning the order in which the pages of a Web site are visited, can be profitably used to predict the visit behaviour at the site. Usually every click corresponds to the visualization of a Web page. Thus, a Web clickstream defines the sequence of the Web pages requested by a user. Such a sequence identifies a user session. Request access from your librarian to read this chapter's full text.
Key concepts: Clickstream, Computer science, Session (web analytics), World Wide Web, Web page, Web site, Static web page, Web navigation