Patents by Inventor Michael Dobrzynski

Michael Dobrzynski 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).

  • Content pattern based automatic document classification
    Patent number: 10713306
    Abstract: Computer systems, devices, and associated methods of content pattern based automatic document classification are disclosed herein. In one embodiment, a method includes receiving a document and a sequence of words corresponding to a document class having a class label from a network storage. The method also includes determining a longest common subsequence of words between the words in the document and the sequence of words and calculating a similarity percentage between the document and the sequence of words based on the determined longest common subsequence. When the calculated similarity percentage is above a threshold, the class label corresponding to the document class is automatically applied to the received document in the network storage.
    Type: Grant
    Filed: September 22, 2017
    Date of Patent: July 14, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Daran Cai, Nakul Garg, Michael Dobrzynski, Wei-Qiang Guo, Amit Khanna, Ning Xu
  • CONTENT PATTERN BASED AUTOMATIC DOCUMENT CLASSIFICATION
    Publication number: 20190095439
    Abstract: Computer systems, devices, and associated methods of content pattern based automatic document classification are disclosed herein. In one embodiment, a method includes receiving a document and a sequence of words corresponding to a document class having a class label from a network storage. The method also includes determining a longest common subsequence of words between the words in the document and the sequence of words and calculating a similarity percentage between the document and the sequence of words based on the determined longest common subsequence. When the calculated similarity percentage is above a threshold, the class label corresponding to the document class is automatically applied to the received document in the network storage.
    Type: Application
    Filed: September 22, 2017
    Publication date: March 28, 2019
    Inventors: Daran Cai, Nakul Garg, Michael Dobrzynski, Wei-Qiang Guo, Amit Khanna, Ning Xu