Patents by Inventor Samuel John Wenke

Samuel John Wenke 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).

  • Intent Matching Natural Language Queries
    Publication number: 20240394485
    Abstract: A server accesses a natural language query. The server facilitates a mapping of the natural language query to a vector using a query-to-vector engine. The server matches the vector to an intent representing a prediction associated with the natural language query. The server provides a response to the natural language query based on the intent.
    Type: Application
    Filed: August 1, 2024
    Publication date: November 28, 2024
    Inventors: Justin Bryce Betteridge, Connor Isaac Brinton, Samuel John Wenke
  • Intent matching engine
    Patent number: 12093660
    Abstract: A server accesses a natural language query. The server facilitates a mapping of the natural language query to a vector using a query-to-vector engine. The server matches the vector to an intent representing a prediction associated with the natural language query. The server provides a response to the natural language query based on the intent.
    Type: Grant
    Filed: June 5, 2023
    Date of Patent: September 17, 2024
    Assignee: Zoom Video Communications, Inc.
    Inventors: Justin Bryce Betteridge, Connor Isaac Brinton, Samuel John Wenke
  • Machine Learning For Intent Matching Engine
    Publication number: 20240232680
    Abstract: A server obtains a natural language query from a first user device. The server matches an intent to the natural language query using an intent matching engine. The intent represents predicted data associated with the natural language query. The server transmits the natural language query and the intent to a second user device. The server receives, from the second user device, a response indicating whether the natural language query is properly matched to the intent. The server trains the intent matching engine based on a machine learning technique and the response.
    Type: Application
    Filed: October 20, 2022
    Publication date: July 11, 2024
    Inventors: Jared Lamont Betteridge, Justin Bryce Betteridge, Connor Isaac Brinton, Victor The Vong, Samuel John Wenke
  • Intent Matching Engine
    Publication number: 20240143946
    Abstract: A server accesses a natural language query. The server facilitates a mapping of the natural language query to a vector using a query-to-vector engine. The server matches the vector to an intent representing a prediction associated with the natural language query. The server provides a response to the natural language query based on the intent.
    Type: Application
    Filed: June 5, 2023
    Publication date: May 2, 2024
    Inventors: Justin Bryce Betteridge, Connor Isaac Brinton, Samuel John Wenke
  • Machine Learning For Intent Matching Engine
    Publication number: 20240135232
    Abstract: A server obtains a natural language query from a first user device. The server matches an intent to the natural language query using an intent matching engine. The intent represents predicted data associated with the natural language query. The server transmits the natural language query and the intent to a second user device. The server receives, from the second user device, a response indicating whether the natural language query is properly matched to the intent. The server trains the intent matching engine based on a machine learning technique and the response.
    Type: Application
    Filed: October 19, 2022
    Publication date: April 25, 2024
    Inventors: Jared Lamont Betteridge, Justin Bryce Betteridge, Connor Isaac Brinton, Victor The Vong, Samuel John Wenke
  • Multilingual intent matching engine
    Patent number: 11710002
    Abstract: A server accesses a natural language query corresponding to one of a plurality of natural languages. The server maps, using a query-to-vector engine configured to leverage word embeddings in each of the plurality of natural languages to map natural language queries in the plurality of natural languages to vectors corresponding to meanings of the natural language queries, the natural language query to a vector. The server matches the vector to an intent representing a prediction associated with the natural language query. The server provides a response to the natural language query based on the intent.
    Type: Grant
    Filed: October 31, 2022
    Date of Patent: July 25, 2023
    Assignee: Zoom Video Communications, Inc.
    Inventors: Justin Bryce Betteridge, Connor Isaac Brinton, Samuel John Wenke