Patents by Inventor Yuvraj

Yuvraj 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 concise and common user representations for edge systems from event sequence data stored on hub systems
    Patent number: 12182829
    Abstract: A system includes a representation generator subsystem configured to execute a user representation model and a task prediction model to generate a user representation for a user. The user representation model receives user event sequence data comprises a sequence of user interactions with the system. The task prediction model is configured to train the user representation model. The user representation includes a vector of a predetermined size that represents the user event sequence data and is generated by applying the trained user representation model to the user event sequence data. A storage requirement of the user representation is less than a storage space requirement of the user event sequence data. The system includes a data store configured for storing the user representation in a user profile associated with the user.
    Type: Grant
    Filed: June 24, 2022
    Date of Patent: December 31, 2024
    Assignee: Adobe Inc.
    Inventors: Sarthak Chakraborty, Sunav Choudhary, Atanu R. Sinha, Sapthotharan Krishnan Nair, Manoj Ghuhan Arivazhagan, Yuvraj, Atharva Anand Joshi, Atharv Tyagi, Shivi Gupta
  • GENERATING CONCISE AND COMMON USER REPRESENTATIONS FOR EDGE SYSTEMS FROM EVENT SEQUENCE DATA STORED ON HUB SYSTEMS
    Publication number: 20230419339
    Abstract: A system includes a representation generator subsystem configured to execute a user representation model and a task prediction model to generate a user representation for a user. The user representation model receives user event sequence data comprises a sequence of user interactions with the system. The task prediction model is configured to train the user representation model. The user representation includes a vector of a predetermined size that represents the user event sequence data and is generated by applying the trained user representation model to the user event sequence data. A storage requirement of the user representation is less than a storage space requirement of the user event sequence data. The system includes a data store configured for storing the user representation in a user profile associated with the user.
    Type: Application
    Filed: June 24, 2022
    Publication date: December 28, 2023
    Inventors: Sarthak Chakraborty, Sunav Choudhary, Atanu R. Sinha, Sapthotharan Krishnan Nair, Manoj Ghuhan Arivazhagan, Yuvraj, Atharva Anand Joshi, Atharv Tyagi, Shivi Gupta