System, method, and software application for targeted advertising via behavioral model clustering, and preference programming based on behavioral model clusters

摘要

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).

主权项

1. A method, comprising:
generating a listing of a plurality of virtual channels based on a profile of a user; displaying, via a display device, a program guide comprising a plurality of channels including a first one of said virtual channels, wherein programs are placed into said first virtual channel according to said profile of said user and said profile of said user comprises behavioral information including a number of hops per program, wherein a hop represents an act of leaving and returning to a same program; and in response to said user selecting a program listed on said first virtual channel, adjusting said profile of said user.