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Adaptive Web Site Customization

  • Nikos Zotos
  • Sofia Stamou
  • Paraskevi Tzekou
  • Lefteris Kozanidis

In this paper, we propose a novel site customization model that relies on a topical ontology in order to learn the user interests as these are exemplified in their site navigations. Based on this knowledge, our model personalizes the site's content and structure so as to meet particular user needs. Experimental results demonstrate that our model has a significant potential in accurately identifying the user interests and show that site customizations that rely on the detected interests assist web users experience personalized navigations in the sites' contents.

Keywords

User Profile User Interest Semantic Correlation Customization Process Site Customization 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  1. 1.Computer Engineering and Informatics DepartmentPatras UniversityPatrasGreece

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