Research Article
A System to Determine Demographic Attributes using Local Browsing History
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 171 - Issue 4 |
| Published: Aug 2017 |
| Authors: Siddhesh Karekar, Amogh Bhabal, Bhushan Pathak, Swati Mali |
10.5120/ijca2017915012
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Siddhesh Karekar, Amogh Bhabal, Bhushan Pathak, Swati Mali . A System to Determine Demographic Attributes using Local Browsing History. International Journal of Computer Applications. 171, 4 (Aug 2017), 8-12. DOI=10.5120/ijca2017915012
@article{ 10.5120/ijca2017915012,
author = { Siddhesh Karekar,Amogh Bhabal,Bhushan Pathak,Swati Mali },
title = { A System to Determine Demographic Attributes using Local Browsing History },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 171 },
number = { 4 },
pages = { 8-12 },
doi = { 10.5120/ijca2017915012 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Siddhesh Karekar
%A Amogh Bhabal
%A Bhushan Pathak
%A Swati Mali
%T A System to Determine Demographic Attributes using Local Browsing History%T
%J International Journal of Computer Applications
%V 171
%N 4
%P 8-12
%R 10.5120/ijca2017915012
%I Foundation of Computer Science (FCS), NY, USA
Abstract
The internet is a large storehouse of information. To deliver information efficiently, the audience can be segregated by demographic attributes which can be individually targeted. Companies may be able to obtain or collect information about users' browsing history. Proposed in this paper is a system using TF-IDF and a Neural network, to estimate a user's age, gender and interests by analyzing their browser history.
References
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