Patents by Inventor Glenn Boysko

Glenn Boysko 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).

  • Machine learning to generate and evaluate visualizations
    Patent number: 11756245
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for machine learning to generate and evaluate visualizations. In some implementations, a system determines properties of a dataset. The system generates visualization specifications that each define a different visualization for the dataset, wherein the visualization specifications specify different subsets of the dataset being illustrated with different visualization formats. The system evaluates the visualization specifications using a machine learning model trained based on user feedback for visualizations for multiple datasets. The system selects a subset of the visualization specifications based on output of the machine learning model. The system provides, for display, visualization data for the subset of visualization specifications that were selected based on the output of the machine learning model.
    Type: Grant
    Filed: November 23, 2021
    Date of Patent: September 12, 2023
    Assignee: MicroStrategy Incorporated
    Inventors: Saurabh Abhyankar, Glenn Boysko, Scott Rigney, Timothy Lang
  • MACHINE LEARNING TO GENERATE AND EVALUATE VISUALIZATIONS
    Publication number: 20220156512
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for machine learning to generate and evaluate visualizations. In some implementations, a system determines properties of a dataset. The system generates visualization specifications that each define a different visualization for the dataset, wherein the visualization specifications specify different subsets of the dataset being illustrated with different visualization formats. The system evaluates the visualization specifications using a machine learning model trained based on user feedback for visualizations for multiple datasets. The system selects a subset of the visualization specifications based on output of the machine learning model. The system provides, for display, visualization data for the subset of visualization specifications that were selected based on the output of the machine learning model.
    Type: Application
    Filed: November 23, 2021
    Publication date: May 19, 2022
    Inventors: Saurabh Abhyankar, Glenn Boysko, Scott Rigney, Timothy Lang
  • Machine learning to generate and evaluate visualizations
    Patent number: 11195050
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for machine learning to generate and evaluate visualizations. In some implementations, a system determines properties of a dataset. The system generates visualization specifications that each define a different visualization for the dataset, wherein the visualization specifications specify different subsets of the dataset being illustrated with different visualization formats. The system evaluates the visualization specifications using a machine learning model trained based on user feedback for visualizations for multiple datasets. The system selects a subset of the visualization specifications based on output of the machine learning model. The system provides, for display, visualization data for the subset of visualization specifications that were selected based on the output of the machine learning model.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: December 7, 2021
    Assignee: MicroStrategy Incorporated
    Inventors: Saurabh Abhyankar, Glenn Boysko, Scott Rigney, Timothy Lang
  • MACHINE LEARNING TO GENERATE AND EVALUATE VISUALIZATIONS
    Publication number: 20200250472
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer-readable storage media, for machine learning to generate and evaluate visualizations. In some implementations, a system determines properties of a dataset. The system generates visualization specifications that each define a different visualization for the dataset, wherein the visualization specifications specify different subsets of the dataset being illustrated with different visualization formats. The system evaluates the visualization specifications using a machine learning model trained based on user feedback for visualizations for multiple datasets. The system selects a subset of the visualization specifications based on output of the machine learning model. The system provides, for display, visualization data for the subset of visualization specifications that were selected based on the output of the machine learning model.
    Type: Application
    Filed: December 31, 2019
    Publication date: August 6, 2020
    Inventors: Saurabh Abhyankar, Glenn Boysko, Scott Rigney, Timothy Lang