Adaptive and Personalized Semantic Web

Web Personalization can be defined as any set of actions that can tailor the Web experience to a particular user or set of users. To achieve effective personalization, organizations must rely on all available data, including the usage and click-stream data (reflecting user behaviour), the site conte...

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Bibliografiske detaljer
Hovedforfatter: Sirmakessis, Spiros (Directeur de la publication)
Format: Livre numérique
Sprog:Anglais
Udgivet: Berlin, Heidelberg : Springer Berlin Heidelberg 2006.
Cham : Springer Nature
Serier:Studies in Computational Intelligence 14
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Kommentar: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Adaptive and Personalized Semantic Web, Texte imprimé, 9783540306054
• Adaptive and Personalized Semantic Web, Texte imprimé, 9783642067853
• Adaptive and Personalized Semantic Web, Texte imprimé, 9783540818205
Indholdsfortegnelse:
  • An Algorithmic Framework for Adaptive Web Content
  • A Multi-Layered and Multi-Faceted Framework for Mining Evolving Web Clickstreams
  • Model Cloning: A Push to Reuse or a Disaster?
  • Behavioral Patterns in Hypermedia Systems: A Short Study of E-commerce vs. E-learning Practices
  • Adaptive Personal Information Environment Based on Semantic Web
  • A Multilayer Ontology Scheme for Integrated Searching in Distributed Hypermedia
  • htmlButler Wrapper Usability Enhancement through Ontology Sharing and Large Scale Cooperation
  • A Methodology for Conducting Knowledge Discovery on the Semantic Web.