Patents by Inventor Greg Buehrer

Greg Buehrer 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).

  • Classifying search query traffic
    Patent number: 8244752
    Abstract: A method for classifying search query traffic can involve receiving a plurality of labeled sample search query traffic and generating a feature set partitioned into human physical limit features and query stream behavioral features. A model can be generated using the plurality of labeled sample search query traffic and the feature set. Search query traffic can be received and the model can be utilized to classify the received search query traffic as generated by a human or automatically generated.
    Type: Grant
    Filed: April 21, 2008
    Date of Patent: August 14, 2012
    Assignee: Microsoft Corporation
    Inventors: Greg Buehrer, Kumar Chellapilla, Jack W. Stokes
  • AUTOMATICALLY GENERATING TRAINING DATA
    Publication number: 20110314011
    Abstract: Computer-readable media, computer systems, and computing devices facilitate generating binary classifier and entity extractor training data. Seed URLs are selected and URL patterns within the seed URLs are identified. Matching URLs in a data structure are identified and corresponding queries and their associated weights are added to a potential training data set from which training data is selected.
    Type: Application
    Filed: June 18, 2010
    Publication date: December 22, 2011
    Applicant: MICROSOFT CORPORATION
    Inventors: Greg Buehrer, Paul Viola, Andrew McGovern, Sanaz Ahari, Mukund Narasimhan
  • CLASSIFYING SEARCH QUERY TRAFFIC
    Publication number: 20090265317
    Abstract: A method for classifying search query traffic can involve receiving a plurality of labeled sample search query traffic and generating a feature set partitioned into human physical limit features and query stream behavioral features. A model can be generated using the plurality of labeled sample search query traffic and the feature set. Search query traffic can be received and the model can be utilized to classify the received search query traffic as generated by a human or automatically generated.
    Type: Application
    Filed: April 21, 2008
    Publication date: October 22, 2009
    Applicant: MICROSOFT CORPORATION
    Inventors: Greg Buehrer, Kumar Chellapilla, Jack W. Stokes