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Adaptive Web Site Customization

  • Conference paper
Metadata and Semantics

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.

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Correspondence to Nikos Zotos , Sofia Stamou , Paraskevi Tzekou or Lefteris Kozanidis .

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© 2009 Springer Science+Business Media, LLC

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Zotos, N., Stamou, S., Tzekou, P., Kozanidis, L. (2009). Adaptive Web Site Customization. In: Sicilia, MA., Lytras, M.D. (eds) Metadata and Semantics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77745-0_34

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  • DOI: https://doi.org/10.1007/978-0-387-77745-0_34

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-77744-3

  • Online ISBN: 978-0-387-77745-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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