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User Profiling - A Short Review

by Ayse Cufoglu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 3
Year of Publication: 2014
Authors: Ayse Cufoglu
10.5120/18888-0179

Ayse Cufoglu . User Profiling - A Short Review. International Journal of Computer Applications. 108, 3 ( December 2014), 1-9. DOI=10.5120/18888-0179

@article{ 10.5120/18888-0179,
author = { Ayse Cufoglu },
title = { User Profiling - A Short Review },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 3 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number3/18888-0179/ },
doi = { 10.5120/18888-0179 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:42:00.501503+05:30
%A Ayse Cufoglu
%T User Profiling - A Short Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 3
%P 1-9
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Today's technology driven world user profiles are the virtual representation of each user and they include a variety of user information such as personal, interest and preference data. These profiles are the outcome of the user profiling process and they are essential to service personalization. Different methods, techniques and algorithms have been proposed in the literature for the user profiling process. This paper aims to give an overview on the user profiling and its related concepts, and discuss the pros and cons of current methods for the future service personalization. Furthermore, it also give details about the simulations which have been carried out with well known classification and clustering algorithms with real world user profile dataset. This work is based on the doctoral thesis of the author.

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Index Terms

Computer Science
Information Sciences

Keywords

user profiling user profile personalization classification clustering

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