Patents by Inventor Kathryn Clune VanVliet

Kathryn Clune VanVliet 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: 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