Patents by Inventor Elliot Hirsch

Elliot Hirsch 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).

  • ENTITY MATCHING WITH MACHINE LEARNING FUZZY LOGIC
    Publication number: 20240427783
    Abstract: A fuzzy matching system matching data records in one or more data sets based on user-customized selection of multiple fuzzy matching algorithms. Possible matches may be displayed to a user, who provides feedback on the accuracy of the matches, which may then be used by a machine learning algorithm to update weightings and parameters of the multiple fuzzy matching algorithms, such as based on machine learning analysis of the matching results and the user feedback.
    Type: Application
    Filed: September 9, 2024
    Publication date: December 26, 2024
    Inventors: Elliot Hirsch, Johannes Beil, Lauren Brown, Nicolas Prettejohn, Paul Baseotto
  • Entity matching with machine learning fuzzy logic
    Patent number: 12111839
    Abstract: A fuzzy matching system matching data records in one or more data sets based on user-customized selection of multiple fuzzy matching algorithms. Possible matches may be displayed to a user, who provides feedback on the accuracy of the matches, which may then be used by a machine learning algorithm to update weightings and parameters of the multiple fuzzy matching algorithms, such as based on machine learning analysis of the matching results and the user feedback.
    Type: Grant
    Filed: June 13, 2023
    Date of Patent: October 8, 2024
    Assignee: Palantir Technologies Inc.
    Inventors: Elliot Hirsch, Johannes Beil, Lauren Brown, Nicolas Prettejohn, Paul Baseotto
  • Entity matching with machine learning fuzzy logic
    Patent number: 11720580
    Abstract: A fuzzy matching system matching data records in one or more data sets based on user-customized selection of multiple fuzzy matching algorithms. Possible matches may be displayed to a user, who provides feedback on the accuracy of the matches, which may then be used by a machine learning algorithm to update weightings and parameters of the multiple fuzzy matching algorithms, such as based on machine learning analysis of the matching results and the user feedback.
    Type: Grant
    Filed: March 1, 2022
    Date of Patent: August 8, 2023
    Assignee: Palantir Technologies Inc.
    Inventors: Elliot Hirsch, Johannes Beil, Lauren Brown, Nicolas Prettejohn, Paul Baseotto