Patents by Inventor Vinay Shanthigrama Krishnegowda

Vinay Shanthigrama Krishnegowda 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).

  • Patent number: 11630955
    Abstract: A framework for enhanced search is provided to enable the user to contextually search documents, based on specified events. A management framework provides systems for obtaining a user's contextual data and the user's interaction data for which a Context Graph and an Interaction Graph are created, respectively. The user's context data include the various events associated with the user. The user's interaction data include times and locations the user interacted with a particular document, which device was used, the type of interaction, etc. The data from the two graphs are correlated and joined into an event graph. Upon receiving a natural language query from a user, one or more contextual query elements are identified, and the event graph is spanned to identify matching results which are then provided to the requesting user device.
    Type: Grant
    Filed: November 23, 2020
    Date of Patent: April 18, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Rahul Gupta, Vinay Shanthigrama Krishnegowda, Amar Kumar Dubedy, Rithesh Baradi
  • Publication number: 20210073469
    Abstract: A framework for enhanced search is provided to enable the user to contextually search documents, based on specified events. A management framework provides systems for obtaining a user's contextual data and the user's interaction data for which a Context Graph and an Interaction Graph are created, respectively. The user's context data include the various events associated with the user. The user's interaction data include times and locations the user interacted with a particular document, which device was used, the type of interaction, etc. The data from the two graphs are correlated and joined into an event graph. Upon receiving a natural language query from a user, one or more contextual query elements are identified, and the event graph is spanned to identify matching results which are then provided to the requesting user device.
    Type: Application
    Filed: November 23, 2020
    Publication date: March 11, 2021
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Rahul GUPTA, Vinay Shanthigrama KRISHNEGOWDA, Amar Kumar DUBEDY, Rithesh BARADI
  • Patent number: 10878192
    Abstract: A framework for enhanced search is provided to enable the user to contextually search documents, based on specified events. A management framework provides systems for obtaining a user's contextual data and the user's interaction data for which a Context Graph and an Interaction Graph are created, respectively. The user's context data include the various events associated with the user. The user's interaction data include times and locations the user interacted with a particular document, which device was used, the type of interaction, etc. The data from the two graphs are correlated and joined into an event graph. Upon receiving a natural language query from a user, one or more contextual query elements are identified, and the event graph is spanned to identify matching results which are then provided to the requesting user device.
    Type: Grant
    Filed: January 6, 2017
    Date of Patent: December 29, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Rahul Gupta, Vinay Shanthigrama Krishnegowda, Amar Kumar Dubedy, Rithesh Baradi
  • Publication number: 20180196812
    Abstract: A framework for enhanced search is provided to enable the user to contextually search documents, based on specified events. A management framework provides systems for obtaining a user's contextual data and the user's interaction data for which a Context Graph and an Interaction Graph are created, respectively. The user's context data include the various events associated with the user. The user's interaction data include times and locations the user interacted with a particular document, which device was used, the type of interaction, etc. The data from the two graphs are correlated and joined into an event graph. Upon receiving a natural language query from a user, one or more contextual query elements are identified, and the event graph is spanned to identify matching results which are then provided to the requesting user device.
    Type: Application
    Filed: January 6, 2017
    Publication date: July 12, 2018
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Rahul Gupta, Vinay Shanthigrama Krishnegowda, Amar Kumar Dubedy, Rithesh Baradi