Patents by Inventor Isaac Labeeb Ismail

Isaac Labeeb Ismail has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • System and method for behavioral model clustering in television usage, targeted advertising via model clustering, and preference programming based on behavioral model clusters
    Patent number: 8495680
    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.
    Type: Grant
    Filed: January 9, 2002
    Date of Patent: July 23, 2013
    Assignee: Thomson Licensing
    Inventors: Isaac Bentolila, Yiming Zhou, Isaac Labeeb Ismail, Richard Humpleman
  • System, method, and software application for targeted advertising via behavioral model clustering, and preference programming based on behavioral model clusters
    Publication number: 20030101451
    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.
    Type: Application
    Filed: January 9, 2002
    Publication date: May 29, 2003
    Inventors: Isaac Bentolila, Yiming Zhou, Isaac Labeeb Ismail, Richard Humpleman
  • System and method for behavioral model clustering in television usage, targeted advertising via model clustering, and preference programming based on behavioral model clusters
    Publication number: 20030101449
    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.
    Type: Application
    Filed: January 9, 2002
    Publication date: May 29, 2003
    Inventors: Isaac Bentolila, Yiming Zhou, Isaac Labeeb Ismail, Richard Humpleman