Patents by Inventor Neha Choudhary

Neha Choudhary 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: 20230297923
    Abstract: A system and method for identifying a user is described. The system identifies collaboration metrics based on user interaction data of users of an application from an enterprise. The system accesses enterprise organizational data of the enterprise and identifies topic data from the user interaction data and the enterprise organizational data. The system trains a machine learning model based on the collaboration metrics, the enterprise organizational data, and the topic data.
    Type: Application
    Filed: May 23, 2023
    Publication date: September 21, 2023
    Inventors: Amol Dattatray Dhaygude, Manjit Singh Gill, Nikolay Mitev Trandev, Aaron James Harrison, Aleksey Ashikhmin, Amit Prem Manghani, Robert Allen Donahue, Wilson Waikon Ung, Christopher Michael Trevino, Neha Choudhary, Neha Parikh Shah
  • Patent number: 11681968
    Abstract: A system and method for identifying a user is described. The system identifies collaboration metrics based on user interaction data of users of an application from an enterprise. The system accesses enterprise organizational data of the enterprise and identifies topic data from the user interaction data and the enterprise organizational data. The system trains a machine learning model based on the collaboration metrics, the enterprise organizational data, and the topic data.
    Type: Grant
    Filed: January 10, 2020
    Date of Patent: June 20, 2023
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Amol Dattatray Dhaygude, Manjit Singh Gill, Nikolay Mitev Trandev, Aaron James Harrison, Aleksey Ashikhmin, Amit Prem Manghani, Robert Allen Donahue, Wilson Waikon Ung, Christopher Michael Trevino, Neha Choudhary, Neha Parikh Shah
  • Publication number: 20210216937
    Abstract: A system and method for identifying a user is described. The system identifies collaboration metrics based on user interaction data of users of an application from an enterprise. The system accesses enterprise organizational data of the enterprise and identifies topic data from the user interaction data and the enterprise organizational data. The system trains a machine learning model based on the collaboration metrics, the enterprise organizational data, and the topic data.
    Type: Application
    Filed: January 10, 2020
    Publication date: July 15, 2021
    Inventors: Amol Dattatray Dhaygude, Manjit Singh Gill, Nikolay Mitev Trandev, Aaron James Harrison, Aleksey Ashikhmin, Amit Prem Manghani, Robert Allen Donahue, Wilson Waikon Ung, Christopher Michael Trevino, Neha Choudhary, Neha Parikh Shah