Patents by Inventor Christian Dorn Anschuetz

Christian Dorn Anschuetz 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).

  • Technologies for classifying feedback using machine learning models
    Patent number: 11941082
    Abstract: Systems and methods for classifying product feedback by an electronic device are described. According to certain aspects, an electronic device may receive consumer feedback entries associated with various products, where each entry may include an initial classification. The electronic device may analyze each entry using a machine learning model to determine a subsequent classification for the entry. When there is a mismatch between classifications, the electronic device may present information associated with the entry for review by a user, where the user may specify a final classification for the entry, and the electronic device may update the machine learning model for use in subsequent analyses.
    Type: Grant
    Filed: April 12, 2019
    Date of Patent: March 26, 2024
    Assignee: UL LLC
    Inventors: Christian Dorn Anschuetz, Surekha Durvasula, Spencer Sharpe, Kyle Michael Caulfield
  • TECHNOLOGIES FOR DYNAMICALLY ASSESSING APPLICABILITY OF PRODUCT REGULATIONS TO PRODUCT PROTOCOLS
    Publication number: 20200349584
    Abstract: Systems and methods for dynamically determining potentially applicability of product regulations to product protocols. According to certain aspects, an electronic device may access new or updated product regulations for various jurisdictions as well as product protocols associated with certain products. The electronic device may employ various data analyses technologies to determine which product regulations are potentially applicable to which product protocols. The electronic device may present information associated with the data analyses, and enable users to review information, further assess applicability, and make selections.
    Type: Application
    Filed: May 3, 2019
    Publication date: November 5, 2020
    Inventors: Alan Cooney, Spencer Sharpe, Surekha Durvasula, Christian Dorn Anschuetz
  • TECHNOLOGIES FOR CLASSIFYING FEEDBACK USING MACHINE LEARNING MODELS
    Publication number: 20200327372
    Abstract: Systems and methods for classifying product feedback by an electronic device are described. According to certain aspects, an electronic device may receive consumer feedback entries associated with various products, where each entry may include an initial classification. The electronic device may analyze each entry using a machine learning model to determine a subsequent classification for the entry. When there is a mismatch between classifications, the electronic device may present information associated with the entry for review by a user, where the user may specify a final classification for the entry, and the electronic device may update the machine learning model for use in subsequent analyses.
    Type: Application
    Filed: April 12, 2019
    Publication date: October 15, 2020
    Inventors: Christian Dorn Anschuetz, Surekha Durvasula, Spencer Sharpe, Kyle Michael Caulfield