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Web Personalization in Intelligent Environments

  • Book
  • © 2009

Overview

Editors:
  1. Giovanna Castellano

    1. Computer Science Department, University of Bari, Bari, Italy

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  2. Lakhmi C. Jain

    1. University of South Australia, Adelaide, Australia

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  3. Anna Maria Fanelli

    1. Computer Science Department, University of Bari, Bari, Italy

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  • Latest research in the area of Web Personalization in Intelligent Environment

Part of the book series: Studies in Computational Intelligence (SCI, volume 229)

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Table of contents (6 chapters)

  1. Front Matter

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  2. Chapter 1

    1. Innovations in Web Personalization

      • Giovanna Castellano, Anna Maria Fanelli, Maria Alessandra Torsello, Lakhmi C. Jain
      Pages 1-26

  3. Chapter 2

    1. A Semantic Content-Based Recommender System Integrating Folksonomies for Personalized Access

      • Pasquale Lops, Marco de Gemmis, Giovanni Semeraro, Cataldo Musto, Fedelucio Narducci, Massimo Bux
      Pages 27-47

  4. Chapter 3

    1. Exploiting Ontologies for Web Search Personalization

      • John Garofalakis, Theodoula Giannakoudi
      Pages 49-64

  5. Chapter4

    1. How to Derive Fuzzy User Categories for Web Personalization

      • Giovanna Castellano, Maria Alessandra Torsello
      Pages 65-79

  6. Chapter 5

    1. A Taxonomy of Collaborative-Based Recommender Systems

      • Fabián P. Lousame, Eduardo Sánchez
      Pages 81-117

  7. Chapter 6

    1. A System for Fuzzy Items Recommendation

      • Corrado Mencar, Ciro Castiello, Danilo Dell’Agnello, Anna Maria Fanelli
      Pages 119-140

  8. Back Matter

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Keywords

About this book

At first sight, the concept of web personalization looks deceivingly simple. A web personalization system is a software component that collects information on visitors to a web site and leverages this knowledge to deliver them the right content, tailoring presentation to the user's needs. All over the world, web designers and web content managers rely on web personalization solutions to improve the effectiveness and - ability of their web-based applications. Still, the scientific foundation of web personalization remains a controversial issue. Practitioners know very well that when properly implemented, personalization del- ers a much better user experience; but when it is poorly implemented, personalization may backfire and even distract the user's attention away from some useful (and co- ly-to-develop) enriched content. In other words, tailoring content, and varying it routinely, may make a site more attractive; but an unstable site look can have a negative impact on the overall m- sage. Everybody seems to agree that this is a real danger; but there are specific qu- tions that are much harder to answer convincingly.

Editors and Affiliations

  • Computer Science Department, University of Bari, Bari, Italy

    Giovanna Castellano, Anna Maria Fanelli

  • University of South Australia, Adelaide, Australia

    Lakhmi C. Jain

Bibliographic Information

  • Book Title: Web Personalization in Intelligent Environments

  • Editors: Giovanna Castellano, Lakhmi C. Jain, Anna Maria Fanelli

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-642-02794-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2009

  • Hardcover ISBN: 978-3-642-02793-2Published: 14 September 2009

  • Softcover ISBN: 978-3-642-26031-5Published: 14 March 2012

  • eBook ISBN: 978-3-642-02794-9Published: 30 September 2009

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIII, 141

  • Topics: Mathematical and Computational Engineering, Artificial Intelligence

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