The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 22, 2020

Filed:

Dec. 22, 2017
Applicant:

Pearson Education, Inc., New York, NY (US);

Inventors:

Johann A. Larusson, Phoenix, AZ (US);

Timothy J. Stewart, Aurora, CO (US);

David W. Strong, Wheatridge, CO (US);

Kristina Evans, Medford, MA (US);

Quinn N. Lathrop, Portland, OR (US);

Luis M. Oros, Denver, CO (US);

Assignee:

PEARSON EDUCATION, INC., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/9032 (2019.01); G06N 20/00 (2019.01); G06F 16/248 (2019.01); G06F 16/2457 (2019.01);
U.S. Cl.
CPC ...
G06F 16/90328 (2019.01); G06F 16/248 (2019.01); G06F 16/24578 (2019.01); G06N 20/00 (2019.01);
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.


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