Patents by Inventor Quinn N. Lathrop

Quinn N. Lathrop 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).

  • System and methods for automatic machine-learning based objective recommendation
    Patent number: 10872118
    Abstract: Systems and methods for automated objective identification are disclosed herein. The system can include a user device and a memory. The memory can include a filed database including field data associated with previously identified objectives. The memory can include a scoring database containing a machine-learning scoring algorithm. The system can include at least one server that can receive an identifier of a content portion, extract field information identifying at least one attribute of the identified content portion from the content portion, input extracted field information into the machine-learning scoring algorithm; receive identification of objectives forming a set of objectives from the machine-learning scoring algorithm; sort the objectives forming the set of objectives according to scores generated for each of the objectives in the set of objectives; and output the sorted objectives to the user device.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: December 22, 2020
    Assignee: PEARSON EDUCATION, INC.
    Inventors: Johann A. Larusson, Timothy J. Stewart, David W. Strong, Kristina Evans, Quinn N. Lathrop, Luis M. Oros
  • SYSTEM AND METHODS FOR AUTOMATIC MACHINE-LEARNING BASED OBJECTIVE RECOMMENDATION
    Publication number: 20190197194
    Abstract: Systems and methods for automated objective identification are disclosed herein. The system can include a user device and a memory. The memory can include a filed database including field data associated with previously identified objectives. The memory can include a scoring database containing a machine-learning scoring algorithm. The system can include at least one server that can receive an identifier of a content portion, extract field information identifying at least one attribute of the identified content portion from the content portion, input extracted field information into the machine-learning scoring algorithm; receive identification of objectives forming a set of objectives from the machine-learning scoring algorithm; sort the objectives forming the set of objectives according to scores generated for each of the objectives in the set of objectives; and output the sorted objectives to the user device.
    Type: Application
    Filed: December 22, 2017
    Publication date: June 27, 2019
    Inventors: Johann A. Larusson, Timothy J. Stewart, David W. Strong, Kristina Evans, Quinn N. Lathrop, Luis M. Oros