Preference-Function Algorithm: a novel approach for selection of the users' preferred websites Online publication date: Fri, 19-Oct-2007
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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