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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
Year of Publication: 2017
Authors:
Siddhesh Karekar, Amogh Bhabal, Bhushan Pathak, Swati Mali
10.5120/ijca2017915012

Siddhesh Karekar, Amogh Bhabal, Bhushan Pathak and Swati Mali. A System to Determine Demographic Attributes using Local Browsing History. International Journal of Computer Applications 171(4):8-12, August 2017. BibTeX

@article{10.5120/ijca2017915012,
	author = {Siddhesh Karekar and Amogh Bhabal and Bhushan Pathak and Swati Mali},
	title = {A System to Determine Demographic Attributes using Local Browsing History},
	journal = {International Journal of Computer Applications},
	issue_date = {August 2017},
	volume = {171},
	number = {4},
	month = {Aug},
	year = {2017},
	issn = {0975-8887},
	pages = {8-12},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume171/number4/28167-2017915012},
	doi = {10.5120/ijca2017915012},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, 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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Keywords

Demographic, browser, history, user, gender, age, estimation, location, prediction.