Geodesic
User Profiling for the Web
Computer Science and Information Systems, Tome 3 (2006) no. 2.

Voir la notice de l'article provenant de la source Computer Science and Information Systems website

This paper addresses a problem of personalized information delivery related to the Web, that is based on user profiling. Different approaches to user profiling have been developed. When the user profiling is used for personalization in the context of Web, we can talk about Web personalization. There are three main groups of approaches: content-based filtering, collaborative filtering and Web usage mining. We provide an overview of them including recent research results in the area with especial emphases on user profiling in the perspective of Semantic Web applications. 
@article{CSIS_2006_3_2_a1,
     author = {Miha Gr\v{c}ar and Dunja Mladeni\v{c} and Marko Grobelnik},
     title = {User {Profiling} for the {Web}},
     journal = {Computer Science and Information Systems},
     publisher = {mathdoc},
     volume = {3},
     number = {2},
     year = {2006},
     url = {http://geodesic.mathdoc.fr/item/CSIS_2006_3_2_a1/}
}
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Miha Grčar; Dunja Mladenič; Marko Grobelnik. User Profiling for the Web. Computer Science and Information Systems, Tome 3 (2006) no. 2. http://geodesic.mathdoc.fr/item/CSIS_2006_3_2_a1/