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 language | English |
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Pages (from-to) | 328-346 |
Journal | International Journal of Business Intelligence and Data Mining |
Volume | 2 |
Issue number | 3 |
DOIs | |
Publication status | Published - Oct 2007 |
Research Keywords
- Classification
- Clustering
- Customisation
- Pattern discovery
- Personalisation
- Usage mining
- Web mining