Patents Assigned to ReUp Education, Inc.
  • Patent number: 11449681
    Abstract: A data processing system and method for delivering a personalized recommendation to an individual, using computerized, dynamic assessment and classification of communication interaction records, is described. The system and method comprises a machine learning application to (1) classify a persona based on communication processing of communication interaction records captured over time, and (2) generate an adaptive personalized recommendation for use within a coaching, advisory or other personalized service. The system and method allows for improved assessments and identification of factors affecting achievement of a goal or outcome, thereby allowing for adaptive, personalized recommendations, improving delivery of personalized support services, and improved success rates for achieving a defined outcome. The system and method may also be used to create a collection of persona analytics information that may be used to visualize and evaluate trends associated with an individual or within a given population.
    Type: Grant
    Filed: February 17, 2022
    Date of Patent: September 20, 2022
    Assignee: ReUp Education, Inc.
    Inventors: Zachary Aaron Avshalomov, Kathryn Clune VanVliet, Sarah Horn
  • Publication number: 20220180070
    Abstract: A data processing system and method for delivering a personalized recommendation to an individual, using computerized, dynamic assessment and classification of communication interaction records, is described. The system and method comprises a machine learning application to (1) classify a persona based on communication processing of communication interaction records captured over time, and (2) generate an adaptive personalized recommendation for use within a coaching, advisory or other personalized service. The system and method allows for improved assessments and identification of factors affecting achievement of a goal or outcome, thereby allowing for adaptive, personalized recommendations, improving delivery of personalized support services, and improved success rates for achieving a defined outcome. The system and method may also be used to create a collection of persona analytics information that may be used to visualize and evaluate trends associated with an individual or within a given population.
    Type: Application
    Filed: February 17, 2022
    Publication date: June 9, 2022
    Applicant: ReUp Education, Inc.
    Inventors: Zachary Aaron Avshalomov, Kathryn Clune VanVliet, Sarah Horn
  • Patent number: 11256873
    Abstract: A data processing system and method for delivering a personalized recommendation to an individual, using computerized, dynamic assessment and classification of communication interaction records, is described. The system and method comprises a machine learning application to (1) classify a persona based on communication processing of communication interaction records captured over time, and (2) generate an adaptive personalized recommendation for use within a coaching, advisory or other personalized service. The system and method allows for improved assessments and identification of factors affecting achievement of a goal or outcome, thereby allowing for adaptive, personalized recommendations, improving delivery of personalized support services, and improved success rates for achieving a defined outcome. The system and method may also be used to create a collection of persona analytics information that may be used to visualize and evaluate trends associated with an individual or within a given population.
    Type: Grant
    Filed: April 29, 2021
    Date of Patent: February 22, 2022
    Assignee: ReUp Education, Inc.
    Inventors: Zachary Aaron Avshalomov, Kathryn Clune VanVliet, Sarah Horn
  • Publication number: 20210342545
    Abstract: A data processing system and method for delivering a personalized recommendation to an individual, using computerized, dynamic assessment and classification of communication interaction records, is described. The system and method comprises a machine learning application to (1) classify a persona based on communication processing of communication interaction records captured over time, and (2) generate an adaptive personalized recommendation for use within a coaching, advisory or other personalized service. The system and method allows for improved assessments and identification of factors affecting achievement of a goal or outcome, thereby allowing for adaptive, personalized recommendations, improving delivery of personalized support services, and improved success rates for achieving a defined outcome. The system and method may also be used to create a collection of persona analytics information that may be used to visualize and evaluate trends associated with an individual or within a given population.
    Type: Application
    Filed: April 29, 2021
    Publication date: November 4, 2021
    Applicant: ReUp Education, Inc.
    Inventors: Zachary Aaron Avshalomov, Kathryn Clune VanVliet, Sarah Horn