Patents by Inventor William Roller

William Roller 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).

  • Patent number: 12051125
    Abstract: Methods, systems, and computer-readable media for generating a virtual based on location. The method acquires a request for a service based on a type of service and is associated with a user, the user's location, and user preferences. The method then acquires a set of service providers based on the type of service and the user's location who are filtered from a larger set of service providers using user preferences. The method in the next step acquires a machine learning model that is based on stored information associated with other users travel patterns and with service providers providing the service and the geographical information associated with the user's location. The method executed the identified machine learning model to aggregate a subset of service providers based on output from the machine learning model. The machine learning model is inputted the set of service providers, the user's location, the user's preferences, and the geographical information.
    Type: Grant
    Filed: May 12, 2023
    Date of Patent: July 30, 2024
    Assignee: INCLUDED HEALTH, INC.
    Inventors: Nathaniel Freese, Jyotiwardhan Patil, Ramakrishna Soma, William Roller, Eric Carlson
  • Publication number: 20230281736
    Abstract: Methods, systems, and computer-readable media for generating a virtual based on location. The method acquires a request for a service based on a type of service and is associated with a user, the user's location, and user preferences. The method then acquires a set of service providers based on the type of service and the user's location who are filtered from a larger set of service providers using user preferences. The method in the next step acquires a machine learning model that is based on stored information associated with other users travel patterns and with service providers providing the service and the geographical information associated with the user's location. The method executed the identified machine learning model to aggregate a subset of service providers based on output from the machine learning model. The machine learning model is inputted the set of service providers, the user's location, the user's preferences, and the geographical information.
    Type: Application
    Filed: May 12, 2023
    Publication date: September 7, 2023
    Applicant: Included Health, Inc.
    Inventors: Nathaniel Freese, Jyotiwardhan Patil, Ramakrishna Soma, William Roller, Eric Carlson
  • Patent number: 11669921
    Abstract: Methods, systems, and computer-readable media for generating a virtual based on location. The method acquires a request for a service based on a type of service and is associated with a user, the user's location, and user preferences. The method then acquires a set of service providers based on the type of service and the user's location who are filtered from a larger set of service providers using user preferences. The method in the next step acquires a machine learning model that is based on stored information associated with other users travel patterns and with service providers providing the service and the geographical information associated with the user's location. The method executed the identified machine learning model to aggregate a subset of service providers based on output from the machine learning model. The machine learning model is inputted the set of service providers, the user's location, the user's preferences, and the geographical information.
    Type: Grant
    Filed: December 16, 2020
    Date of Patent: June 6, 2023
    Assignee: INCLUDED HEALTH, INC.
    Inventors: Nathaniel Freese, Jyotiwardhan Patil, Ramakrishna Soma, William Roller, Eric Carlson
  • Publication number: 20210182985
    Abstract: Methods, systems, and computer-readable media for generating a virtual based on location. The method acquires a request for a service based on a type of service and is associated with a user, the user's location, and user preferences. The method then acquires a set of service providers based on the type of service and the user's location who are filtered from a larger set of service providers using user preferences. The method in the next step acquires a machine learning model that is based on stored information associated with other users travel patterns and with service providers providing the service and the geographical information associated with the user's location. The method executed the identified machine learning model to aggregate a subset of service providers based on output from the machine learning model. The machine learning model is inputted the set of service providers, the user's location, the user's preferences, and the geographical information.
    Type: Application
    Filed: December 16, 2020
    Publication date: June 17, 2021
    Applicant: Grand Rounds, Inc.
    Inventors: Nathaniel Freese, Jyotiwardhan Patil, Ramakrishna Soma, William Roller, Eric Carlson