Subscriber Profiling for Connection Service Providers by Considering Individuals and Different Timeframes
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.
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