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dc.contributor.authorOztoprak, Kasim
dc.date.accessioned2020-08-07T14:18:40Z
dc.date.available2020-08-07T14:18:40Z
dc.date.issued2016
dc.identifier10.1587/transcom.2015EBP3467
dc.identifier.issn0916-8516
dc.identifier.urihttp://hdl.handle.net/20.500.12498/4675
dc.description.abstractConnection 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.
dc.language.isoEnglish
dc.publisherIEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
dc.sourceIEICE TRANSACTIONS ON COMMUNICATIONS
dc.titleSubscriber Profiling for Connection Service Providers by Considering Individuals and Different Timeframes
dc.typeArticle


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