System, method, and software application for targeted advertising via behavioral model clustering, and preference programming based on behavioral model clusters
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United States of America Patent
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Sep 30, 2014
Grant Date -
Jan 12, 2012
app pub date -
Sep 21, 2011
filing date -
Jan 9, 2001
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Abstract
The method and system for TV user profile data prediction and modeling allows accurate and narrowly focused behavioral clustering. A client-side system classifies television consumers into representative user profiles. The profiles target individual user advertising and program preference category groups. A contextual behavioral profiling system determines the user's monitor behavior and content preferences, and the system may be continually updated with user information. A behavioral model database is queried by various system modules. The programming, including targeted advertising for television and interactive television is based on the profile data prediction, modeling and preference determination. The system is enabled to present a complete program sequence to the viewer based on the preference determination and stored programming. The latter is referred to as automatic program sequence (virtual channel) creation and the virtual channel can be presented as a separate channel in an electronic programming guide (EPG).
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