Patents by Inventor Jacob David Rifkin

Jacob David Rifkin 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).

  • SYSTEMS AND METHODS FOR GENERATING PREDICTIVE DATA MODELS USING LARGE DATA SETS TO PROVIDE PERSONALIZED ACTION RECOMMENDATIONS
    Publication number: 20240021322
    Abstract: Methods, systems, and computer-readable media for generating a personalized action recommendation are provided. The method acquires a request for a service that is associated with a user and the user's condition. The method then identifies one or more features of the user based on stored user information. The method next assigns the user to a segment based on the identified one or more features, generates a set of one or more recommended actions for the user based on the segment, and determines an expected value of each of the one or more recommended actions. The method determines a rank of the one or more recommended actions based on the expected value of each of the one or more recommended actions, and outputs a recommended action with a highest expected value for the user in response to the request for the service.
    Type: Application
    Filed: September 27, 2023
    Publication date: January 18, 2024
    Applicant: Included Health, Inc.
    Inventors: Eric CARLSON, Ramakrishna SOMA, Molong LI, Jacob David RIFKIN, Zachary TAYLOR, Peyton ROSE
  • Systems and methods for generating predictive data models using large data sets to provide personalized action recommendations
    Patent number: 11783951
    Abstract: Methods, systems, and computer-readable media for generating a personalized action recommendation are provided. The method acquires a request for a service that is associated with a user and the user's condition. The method then identifies one or more features of the user based on stored user information. The method next assigns the user to a segment based on the identified one or more features, generates a set of one or more recommended actions for the user based on the segment, and determines an expected value of each of the one or more recommended actions. The method determines a rank of the one or more recommended actions based on the expected value of each of the one or more recommended actions, and outputs a recommended action with a highest expected value for the user in response to the request for the service.
    Type: Grant
    Filed: October 25, 2021
    Date of Patent: October 10, 2023
    Assignee: Included Health, Inc.
    Inventors: Eric Carlson, Ramakrishna Soma, Molong Li, Jacob David Rifkin, Zachary Taylor, Peyton Rose
  • SYSTEMS AND METHODS FOR GENERATING PREDICTIVE DATA MODELS USING LARGE DATA SETS TO PROVIDE PERSONALIZED ACTION RECOMMENDATIONS
    Publication number: 20220130503
    Abstract: Methods, systems, and computer-readable media for generating a personalized action recommendation are provided. The method acquires a request for a service that is associated with a user and the user's condition. The method then identifies one or more features of the user based on stored user information. The method next assigns the user to a segment based on the identified one or more features, generates a set of one or more recommended actions for the user based on the segment, and determines an expected value of each of the one or more recommended actions. The method determines a rank of the one or more recommended actions based on the expected value of each of the one or more recommended actions, and outputs a recommended action with a highest expected value for the user in response to the request for the service.
    Type: Application
    Filed: October 25, 2021
    Publication date: April 28, 2022
    Applicant: Grand Rounds, Inc.
    Inventors: Eric CARLSON, Ramakrishna Soma, Molong Li, Jacob David Rifkin, Zachary Taylor, Peyton Rose
  • Systems and methods for generating predictive data models using large data sets to provide personalized action recommendations
    Patent number: 11158412
    Abstract: Methods, systems, and computer-readable media for generating a personalized action recommendation are provided. The method acquires a request for a service that is associated with a user and the user's condition. The method then identifies one or more features of the user based on stored user information. The method next assigns the user to a segment based on the identified one or more features, generates a set of one or more recommended actions for the user based on the segment, and determines an expected value of each of the one or more recommended actions. The method determines a rank of the one or more recommended actions based on the expected value of each of the one or more recommended actions, and outputs a recommended action with a highest expected value for the user in response to the request for the service.
    Type: Grant
    Filed: October 22, 2020
    Date of Patent: October 26, 2021
    Assignee: GRAND ROUNDS, INC.
    Inventors: Eric Carlson, Ramakrishna Soma, Molong Li, Jacob David Rifkin, Zachary Taylor, Peyton Rose