Preference-function algorithm : A novel approach for selection of the users' preferred websites

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

1 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)328-346
Journal / PublicationInternational Journal of Business Intelligence and Data Mining
Volume2
Issue number3
Publication statusPublished - Oct 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. © 2007, Inderscience Publishers.

Research Area(s)

  • Classification, Clustering, Customisation, Pattern discovery, Personalisation, Usage mining, Web mining