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Web Personalization in Intelligent Environments [electronic resource] / edited by Giovanna Castellano, Lakhmi C. Jain, Anna Maria Fanelli.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Studies in Computational Intelligence ; 229 | Studies in Computational Intelligence ; 229Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009Descripción: XIII, 141 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783642027949
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 519 23
Clasificación LoC:
  • TA329-348
  • TA640-643
Recursos en línea:
Contenidos:
Springer eBooksResumen: Web is evolving at a speed never experienced by any other discipline before. This research book includes a sample of new research directions on Web personalization in intelligent environments. The contributions include: An Introduction to Web Personalization A Semantic Content-based Recommender System Exploiting ontologies for Web search personalization How to Derive Fuzzy User Categories for Web Personalization A Taxonomy of Collaborative-based Recommender System A System for Fuzzy Items Recommendation This book is directed to the researchers, graduate students, professors and practitioner interested in Web personalization.
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1 -- Innovations in Web Personalization -- 2 -- A Semantic Content-Based Recommender System Integrating Folksonomies for Personalized Access -- 3 -- Exploiting Ontologies for Web Search Personalization -- Chapter4 -- How to Derive Fuzzy User Categories for Web Personalization -- 5 -- A Taxonomy of Collaborative-Based Recommender Systems -- 6 -- A System for Fuzzy Items Recommendation.

Web is evolving at a speed never experienced by any other discipline before. This research book includes a sample of new research directions on Web personalization in intelligent environments. The contributions include: An Introduction to Web Personalization A Semantic Content-based Recommender System Exploiting ontologies for Web search personalization How to Derive Fuzzy User Categories for Web Personalization A Taxonomy of Collaborative-based Recommender System A System for Fuzzy Items Recommendation This book is directed to the researchers, graduate students, professors and practitioner interested in Web personalization.

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