IEICE TRANSACTIONS on Communications
Subscriber Profiling for Connection Service Providers by Considering Individuals and Different Timeframes
Summary :
Connection Service Providers (CSP) are wishing to increase their Return on Investment (ROI) by utilizing the data assets generated by tracking subscriber behaviors. This results in the ability to apply personalized policies, monitor and control the service traffic to subscribers and gain more revenue through the usage of subscriber data with ad networks. In this paper, a system is proposed to monitor and analyze the Internet access of the subscribers of a regional SP in order to classify the subscribers into interest categories from the Interactive Advertising Bureau (IAB) categories. The study employs the categorization engine to build category vectors for all individuals using Internet services through the subscription. The proposal makes it easy to detect changes in the interests of individuals/subscribers over time.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E99-B No.6 pp.1353-1361
- Publication Date
- 2016/06/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2015EBP3467
- Type of Manuscript
- PAPER
- Category
- Internet
Authors
Kasim OZTOPRAK
KTO Karatay University
Keyword
Latest Issue
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Cite this
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Kasim OZTOPRAK, "Subscriber Profiling for Connection Service Providers by Considering Individuals and Different Timeframes" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 6, pp. 1353-1361, June 2016, doi: 10.1587/transcom.2015EBP3467.
Abstract: Connection Service Providers (CSP) are wishing to increase their Return on Investment (ROI) by utilizing the data assets generated by tracking subscriber behaviors. This results in the ability to apply personalized policies, monitor and control the service traffic to subscribers and gain more revenue through the usage of subscriber data with ad networks. In this paper, a system is proposed to monitor and analyze the Internet access of the subscribers of a regional SP in order to classify the subscribers into interest categories from the Interactive Advertising Bureau (IAB) categories. The study employs the categorization engine to build category vectors for all individuals using Internet services through the subscription. The proposal makes it easy to detect changes in the interests of individuals/subscribers over time.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3467/_p
Copy
@ARTICLE{e99-b_6_1353,
author={Kasim OZTOPRAK, },
journal={IEICE TRANSACTIONS on Communications},
title={Subscriber Profiling for Connection Service Providers by Considering Individuals and Different Timeframes},
year={2016},
volume={E99-B},
number={6},
pages={1353-1361},
abstract={Connection Service Providers (CSP) are wishing to increase their Return on Investment (ROI) by utilizing the data assets generated by tracking subscriber behaviors. This results in the ability to apply personalized policies, monitor and control the service traffic to subscribers and gain more revenue through the usage of subscriber data with ad networks. In this paper, a system is proposed to monitor and analyze the Internet access of the subscribers of a regional SP in order to classify the subscribers into interest categories from the Interactive Advertising Bureau (IAB) categories. The study employs the categorization engine to build category vectors for all individuals using Internet services through the subscription. The proposal makes it easy to detect changes in the interests of individuals/subscribers over time.},
keywords={},
doi={10.1587/transcom.2015EBP3467},
ISSN={1745-1345},
month={June},}
Copy
TY - JOUR
TI - Subscriber Profiling for Connection Service Providers by Considering Individuals and Different Timeframes
T2 - IEICE TRANSACTIONS on Communications
SP - 1353
EP - 1361
AU - Kasim OZTOPRAK
PY - 2016
DO - 10.1587/transcom.2015EBP3467
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2016
AB - Connection Service Providers (CSP) are wishing to increase their Return on Investment (ROI) by utilizing the data assets generated by tracking subscriber behaviors. This results in the ability to apply personalized policies, monitor and control the service traffic to subscribers and gain more revenue through the usage of subscriber data with ad networks. In this paper, a system is proposed to monitor and analyze the Internet access of the subscribers of a regional SP in order to classify the subscribers into interest categories from the Interactive Advertising Bureau (IAB) categories. The study employs the categorization engine to build category vectors for all individuals using Internet services through the subscription. The proposal makes it easy to detect changes in the interests of individuals/subscribers over time.
ER -
English
