Customer Tracking Systems based on Identifiers of Mobile Phones

D. M. Mikhaylov, A. V. Zuykov, S. M. Kharkov, S. V. Ponomarev, S. V. Dvoryankin, A. M. Tolstaya

2015

Abstract

Gathering statistics about visitors finds more and more applications in various fields of business and commerce. This paper describes the system of impersonal counting of unique visitors by their mobile identifiers. Counting is carried out using a non-functioning communication cell (the system does not provide communication services to users of mobile networks). The system masks itself as the base station of a mobile operator. Mobile devices automatically connect to the system even in case of a strong signal from the towers of mobile operators. Once connected, the user identification data is received. The proposed solution allows to compare data about the number of visits to a particular site in various periods of time and to identify the re-occurrence of the visitors. The system is inexpensive and shows 99% accuracy in the identification of users (compared to the real data about the visitors).

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Paper Citation


in Harvard Style

Mikhaylov D., Zuykov A., Kharkov S., Ponomarev S., Dvoryankin S. and Tolstaya A. (2015). Customer Tracking Systems based on Identifiers of Mobile Phones . In Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015) ISBN 978-989-758-158-8, pages 451-455. DOI: 10.5220/0005628004510455


in Bibtex Style

@conference{kdir15,
author={D. M. Mikhaylov and A. V. Zuykov and S. M. Kharkov and S. V. Ponomarev and S. V. Dvoryankin and A. M. Tolstaya},
title={Customer Tracking Systems based on Identifiers of Mobile Phones},
booktitle={Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)},
year={2015},
pages={451-455},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005628004510455},
isbn={978-989-758-158-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, (IC3K 2015)
TI - Customer Tracking Systems based on Identifiers of Mobile Phones
SN - 978-989-758-158-8
AU - Mikhaylov D.
AU - Zuykov A.
AU - Kharkov S.
AU - Ponomarev S.
AU - Dvoryankin S.
AU - Tolstaya A.
PY - 2015
SP - 451
EP - 455
DO - 10.5220/0005628004510455