Web Personalization in Intelligent Environments

This book examines web personalization in intelligent environments. Coverage includes exploiting ontologies for web search personalization, how to derive fuzzy user categories for web personalization, and a taxonomy of collaborative-based recommender system.

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.

Latest research in the area of Web Personalization in Intelligent Environment

Klappentext
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.

Inhalt
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.