Patents by Inventor Mathieu Rodrigue

Mathieu Rodrigue 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).

  • Enhanced value component predictions using contextual machine-learning models
    Patent number: 11924215
    Abstract: The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignment value condition, which once satisfied, enables an access-right requestor to have an assigned access right reassigned to the access-right requestor.
    Type: Grant
    Filed: September 22, 2022
    Date of Patent: March 5, 2024
    Assignee: Live Nation Entertainment, Inc.
    Inventors: John Carnahan, Mathieu Rodrigue
  • ENHANCED VALUE COMPONENT PREDICTIONS USING CONTEXTUAL MACHINE-LEARNING MODELS
    Publication number: 20230102137
    Abstract: The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignment value condition, which once satisfied, enables an access-right requestor to have an assigned access right reassigned to the access-right requestor.
    Type: Application
    Filed: September 22, 2022
    Publication date: March 30, 2023
    Inventors: John Carnahan, Mathieu Rodrigue
  • Enhanced value component predictions using contextual machine-learning models
    Patent number: 11457015
    Abstract: The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignment value condition, which once satisfied, enables an access-right requestor to have an assigned access right reassigned to the access-right requestor.
    Type: Grant
    Filed: October 5, 2020
    Date of Patent: September 27, 2022
    Assignee: Live Nation Entertainment, Inc.
    Inventors: John Carnahan, Mathieu Rodrigue
  • ENHANCED VALUE COMPONENT PREDICTIONS USING CONTEXTUAL MACHINE-LEARNING MODELS
    Publication number: 20210160244
    Abstract: The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignment value condition, which once satisfied, enables an access-right requestor to have an assigned access right reassigned to the access-right requestor.
    Type: Application
    Filed: October 5, 2020
    Publication date: May 27, 2021
    Inventors: John Carnahan, Mathieu Rodrigue
  • Enhanced value component predictions using contextual machine-learning models
    Patent number: 10798099
    Abstract: The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignment value condition, which once satisfied, enables an access-right requestor to have an assigned access right reassigned to the access-right requestor.
    Type: Grant
    Filed: December 13, 2019
    Date of Patent: October 6, 2020
    Assignee: Live Nation Entertainment, Inc.
    Inventors: John Carnahan, Mathieu Rodrigue
  • ENHANCED VALUE COMPONENT PREDICTIONS USING CONTEXTUAL MACHINE-LEARNING MODELS
    Publication number: 20200195652
    Abstract: The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignment value condition, which once satisfied, enables an access-right requestor to have an assigned access right reassigned to the access-right requestor.
    Type: Application
    Filed: December 13, 2019
    Publication date: June 18, 2020
    Inventors: John Carnahan, Mathieu Rodrigue