Preference-Function Algorithm: a novel approach for selection of the users' preferred websites
by S. Kami Makki, Seema Jani, Xiaohua Jia, Wuxu Peng
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 2, No. 3, 2007

Abstract: Designing a website which is helpful to its users requires knowledge of the users' preferences and their motivations. Therefore, a designer requires to anticipate the users' needs and structures the website accordingly. This paper implements a novel approach for selecting the users' preferred web pages. In this approach, the navigated web pages are modelled as a finite state graph, where each visited web page is defined as a state. This graph then is used to provide the framework for determining the users' interest. The viability of this approach is demonstrated with a user-created website scenario.

Online publication date: Fri, 19-Oct-2007

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