Patents by Inventor Ronald Sujithan

Ronald Sujithan 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).

  • Generating resources for support of online services
    Patent number: 9646099
    Abstract: A system and method is provided to analyze a database of concepts organized into categories, wherein each concept is an online textual document, to determine a numerical relationship between the concepts and to determine a hierarchy for the categories.
    Type: Grant
    Filed: September 30, 2015
    Date of Patent: May 9, 2017
    Assignee: NTT DOCOMO INC.
    Inventors: Pero Subasic, Hyung Sik Shin, Ronald Sujithan, Hongfeng Yin, Sayandev Mukherjee, Yoshikazu Akinaga
  • Automatic task classification based upon machine learning
    Patent number: 9471887
    Abstract: A system and method is provided that processes a training database of human-generated requests in each of a plurality of task categories with a machine learning algorithm to develop a task classifier model that may be applied to subsequent user requests to determine the most likely one of the task categories for the subsequent user request.
    Type: Grant
    Filed: September 30, 2015
    Date of Patent: October 18, 2016
    Assignee: NTT DOCOMO Inc.
    Inventors: Hyung Sik Shin, Ronald Sujithan, Sayandev Mukherjee, Hongfeng Yin, Yang Sun, Yoshikazu Akinaga, Pero Subasic
  • GENERATING RESOURCES FOR SUPPORT OF ONLINE SERVICES
    Publication number: 20160026723
    Abstract: A system and method is provided to analyze a database of concepts organized into categories, wherein each concept is an online textual document, to determine a numerical relationship between the concepts and to determine a hierarchy for the categories.
    Type: Application
    Filed: September 30, 2015
    Publication date: January 28, 2016
    Inventors: Pero Subasic, Hyung Sik Shin, Ronald Sujithan, Hongfeng Yin, Sayandev Mukherjee, Yoshikazu Akinaga
  • AUTOMATIC TASK CLASSIFICATION BASED UPON MACHINE LEARNING
    Publication number: 20160019471
    Abstract: A system and method is provided that processes a training database of human-generated requests in each of a plurality of task categories with a machine learning algorithm to develop a task classifier model that may be applied to subsequent user requests to determine the most likely one of the task categories for the subsequent user request.
    Type: Application
    Filed: September 30, 2015
    Publication date: January 21, 2016
    Inventors: Hyung Sik Shin, Ronald Sujithan, Sayandev Mukherjee, Hongfeng Yin, Yang Sun, Yoshikazu Akinaga, Pero Subasic