
Web Personalization in Intelligent Environments
Springer (Publisher)
Published on 14. March 2012
Book
Paperback/Softback
XIII, 141 pages
978-3-642-26031-5 (ISBN)
Description
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.
More details
Series
Edition
2009 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
XIII, 141 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 9 mm
Weight
248 gr
ISBN-13
978-3-642-26031-5 (9783642260315)
DOI
10.1007/978-3-642-02794-9
Schweitzer Classification
Other editions
Additional editions

Giovanna Castellano | Anna Maria Fanelli
Web Personalization in Intelligent Environments
Book
09/2009
Springer
€106.99
Shipment within 7-9 days
Content
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.