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

S. Kami Makki, Seema Jani, Xiaohua Jia, Wuxu Peng

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

1 Citation (Scopus)

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.
Original languageEnglish
Pages (from-to)328-346
JournalInternational Journal of Business Intelligence and Data Mining
Volume2
Issue number3
DOIs
Publication statusPublished - Oct 2007

Research Keywords

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

Fingerprint

Dive into the research topics of 'Preference-function algorithm: A novel approach for selection of the users' preferred websites'. Together they form a unique fingerprint.

Cite this