Patents by Inventor Mark A. Laffoon

Mark A. Laffoon 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).

  • Publication number: 20050197906
    Abstract: An online music purchasing system and method is disclosed, in which a radio service operates on a user's computer and is configured for receiving and playing digital radio representations of media content in near real-time in a radio session. A content server is configured for serving the digital radio representations of media content to the radio service, and a radio sequence server is configured for serving a sequential list of currently-playing and previously-played media content of the radio session to the radio service. An account server is configured for receiving a signal indicative of a user's desire to purchase a file of one of a currently-playing or previously-played media content. A download manager is configured for downloading the file to the user's computer according to the signal indicative of the user's desire to purchase the file.
    Type: Application
    Filed: September 10, 2004
    Publication date: September 8, 2005
    Inventors: Bradley Kindig, Robert Kleemann, Sean Sullivan, Michael Kogan, Sean Joshlin, Mark Laffoon, Daniel Baird, Ameen Abed, Nathan Clegg, Philip Pellouchoud, Kevin Sitze, Amir Doron
  • Patent number: 6917952
    Abstract: The similarity between two data objects of the same type (e.g., two resumes, two job descriptions, etc.) is determined using predictive modeling. A basic assumption is that training datasets are available containing compatibility measures between objects of the first type and data objects of a second type, but that training datasets measuring similarity between objects of the first type are not. A first predictive model is trained to assess compatibility between data objects of a first type and data objects of a second type. Then, in one scenario, pairs of objects of the first type are compared for similarity by running them through the first predictive model as if one object of the pair is an object of the first type and the other object of the pair is an object of the second type.
    Type: Grant
    Filed: November 20, 2001
    Date of Patent: July 12, 2005
    Assignee: Burning Glass Technologies, LLC
    Inventors: Matthew N. Dailey, Anu K. Pathria, Mark A. Laffoon, Theodore J. Crooks
  • Patent number: 6728695
    Abstract: A method and apparatus is disclosed for making predictions about entities represented in documents and for information analysis of text documents or the like, from a large number of such documents. Predictive models are executed responsive to variables derived from canonical documents to determine documents containing desired attributes or characteristics. The canonical documents are derived from standardized documents, which, in turn, are derived from original documents.
    Type: Grant
    Filed: May 26, 2000
    Date of Patent: April 27, 2004
    Assignee: Burning Glass Technologies, LLC
    Inventors: Anu K. Pathria, Krishna M. Gopinathan, Theodore J. Crooks, Edmond D. Chow, Mark A. Laffoon, Dayne B. Freitag