Patents by Inventor Jacob D. Couch

Jacob D. Couch 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).

  • Matching learning objects with a user profile using top-level concept complexity
    Patent number: 8257091
    Abstract: In a method and system for matching learning objects with a user profile, a top-level concept structure, including a keyword hierarchy for each of one or more top-level concepts, can be used to determine the complexity of a learning object. The learning object can include one or more learning object keywords related to one or more top-level concepts contained in the top-level concept structure. The learning object keywords can be assigned a complexity score based upon their location within the keyword hierarchy, and the complexity scores for all of the learning object keywords relating to a top-level concept can be aggregated to generate a learning object top-level concept complexity score. The learning object top-level concept complexity score can be compared with a user's experience rating for that top-level concept and be used to select an appropriate learning object.
    Type: Grant
    Filed: February 6, 2008
    Date of Patent: September 4, 2012
    Assignee: International Business Machines Corporation
    Inventors: Jacob D. Couch, Jeremy K. Espenshade, Scott D. Reynolds, Curtis Stratman
  • MATCHING LEARNING OBJECTS WITH A USER PROFILE USING TOP-LEVEL CONCEPT COMPLEXITY
    Publication number: 20090197232
    Abstract: In a method and system for matching learning objects with a user profile, a top-level concept structure, including a keyword hierarchy for each of one or more top-level concepts, can be used to determine the complexity of a learning object. The learning object can include one or more learning object keywords related to one or more top-level concepts contained in the top-level concept structure. The learning object keywords can be assigned a complexity score based upon their location within the keyword hierarchy, and the complexity scores for all of the learning object keywords relating to a top-level concept can be aggregated to generate a learning object top-level concept complexity score. The learning object top-level concept complexity score can be compared with a user's experience rating for that top-level concept and be used to select an appropriate learning object.
    Type: Application
    Filed: February 6, 2008
    Publication date: August 6, 2009
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jacob D. Couch, Jeremy K. Espenshade, Scott D. Reynolds, Curtis Stratman