Titlebook: Web Personalization in Intelligent Environments; Giovanna Castellano,Lakhmi C. Jain,Anna Maria Fane Book 2009 Springer-Verlag Berlin Heide

APO

即席演说

A Semantic Content-Based Recommender System Integrating Folksonomies for Personalized Accessributes of a content object. The Web 2.0 (r)evolution and the advent of user generated content (UGC) have changed the game for personalization, since the role of people has evolved from passive consumers of information to that of active contributors. One of the forms of UGC that has drawn more atten

药物

Innovations in Web Personalizationst users, when they browse the network. Web personalization offers this invaluable opportunity, representing one of the most important technologies required by an ever increasing number of real-world applications. This chapter presents an overview of the Web personalization in the endeavor of Intell

微枝末节

Exploiting Ontologies for Web Search Personalizationsearch engines by coupling data mining techniques with the underlying semantics of the web content. To this purpose, we exploit reference ontologies that emerge from web catalogs (such as ODP - Open Directory Project), which can scale to the growth of the web. Our methodology uses ontologies to prov

Fester

A Semantic Content-Based Recommender System Integrating Folksonomies for Personalized Accessributes of a content object. The Web 2.0 (r)evolution and the advent of user generated content (UGC) have changed the game for personalization, since the role of people has evolved from passive consumers of information to that of active contributors. One of the forms of UGC that has drawn more atten

LEVY

最有利

毛细血管

敲竹杠

How to Derive Fuzzy User Categories for Web Personalization the needs of their users. To do this, Web developers have to address an important challenge concerning the discovery of knowledge about interests that users exhibit during their interactions with Web sites. Web Usage Mining (WUM) is an active research area aimed at the discovery of useful patterns

Vo2-Max

A System for Fuzzy Items Recommendationn various contexts, with the aim of providing personalised contents to different categories of users. Both contents and users are described by metadata, so a description language is introduced along with a formal model defining their association mechanism. The strength of the model is the use of the