Patents by Inventor Nakul Dahiwade

Nakul Dahiwade 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).

  • User-system dialog expansion
    Patent number: 11990122
    Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.
    Type: Grant
    Filed: December 7, 2022
    Date of Patent: May 21, 2024
    Assignee: Amazon Technologies, Inc.
    Inventors: Ruhi Sarikaya, Hung Tuan Pham, Savas Parastatidis, Dean Curtis, Pushpendre Rastogi, Nitin Ashok Jain, John Arland Nave, Abhinav Sethy, Arpit Gupta, Mayank Kumar, Nakul Dahiwade, Arshdeep Singh, Nikhil Reddy Kortha, Rohit Prasad
  • USER-SYSTEM DIALOG EXPANSION
    Publication number: 20230215425
    Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.
    Type: Application
    Filed: December 7, 2022
    Publication date: July 6, 2023
    Inventors: Ruhi Sarikaya, Hung Tuan Pham, Savas Parastatidis, Dean Curtis, Pushpendre Rastogi, Nitin Ashok Jain, John Arland Nave, Abhinav Sethy, Arpit Gupta, Mayank Kumar, Nakul Dahiwade, Arshdeep Singh, Nikhil Reddy Kortha, Rohit Prasad
  • User-system dialog expansion
    Patent number: 11527237
    Abstract: Techniques for recommending a skill experience to a user after a user-system dialog session has ended are described. Upon a dialog session ending, the system uses a first machine learning model to determine potential intents to recommend to a user. The system then uses a second machine learning model to determine a particular skill and intent to recommend. The system then prompts the user to accept the recommended skill and intent. If the user accepts, the system calls the recommended skill to execute. As part of calling the skill, the system sends to the skill at least one entity provided in a natural language user input of the ended dialog session. This enables the skill to skip welcome prompts, and initiate processing to output a response based on the intent and the at least one entity of the ended dialog session.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: December 13, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Ruhi Sarikaya, Hung Tuan Pham, Savas Parastatidis, Dean Curtis, Pushpendre Rastogi, Nitin Ashok Jain, John Arland Nave, Abhinav Sethy, Arpit Gupta, Mayank Kumar, Nakul Dahiwade, Arshdeep Singh, Nikhil Reddy Kortha, Rohit Prasad