Preference-Function Algorithm: a novel approach for selection of the users' preferred websites

Authors:
S. Kami Makki;Seema Jani;Xiaohua Jia;Wuxu Peng
Affiliations:
Department of Electrical Engineering and Computer Science, College of Engineering, University of Toledo, 2801 W. Bancroft St., Toledo, Ohio 43606, USA.;Department of Electrical Engineering and Computer Science, College of Engineering, University of Toledo, 2801 W. Bancroft St., Toledo, Ohio 43606, USA.;Department of Computer Science, City University of Hong Kong, 83 Tat Chee Ave, Kowloon, Hong Kong.;Department of Computer Science, Texas State University, San Marcos, TX 78666, USA
Venue:
International Journal of Business Intelligence and Data Mining
Year:
2007

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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.