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User profiling for the web
Author(s) -
Miha Grćar,
Dunja Mladenić,
Marko Grobelnik
Publication year - 2006
Publication title -
computer science and information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.244
H-Index - 24
eISSN - 2406-1018
pISSN - 1820-0214
DOI - 10.2298/csis0602001g
Subject(s) - profiling (computer programming) , computer science , personalization , world wide web , web intelligence , web mining , information retrieval , web modeling , web page , operating system
. 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.

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