PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

User profiling for the web
Miha Grcar, Dunja Mladenić and Marko Grobelnik
Comput. Sci. Inf. Syst Volume 3, Number 2, pp. 1-29, 2007.

Abstract

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

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:3573
Deposited By:Marko Grobelnik
Deposited On:13 February 2008