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:
Nov. 22, 2022

Filed:

Apr. 12, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Stephen Mitchell, Chapel Hill, NC (US);

David Glenn George, Cary, NC (US);

Matthew Morehouse, Lincoln, NE (US);

John Arthur Medicke, Raleigh, NC (US);

Scott Gerard, Wake Forest, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06N 20/00 (2019.01); G06Q 10/10 (2012.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/1053 (2013.01);
Abstract

A computer-implemented method, a computer program product, and a computer system for determining skill adjacencies using a machine learning model. A computer calculates first similarity scores between first skill vectors obtained from one or more training datasets and second similarity scores between the first skill vectors and skill category vectors pre-calculated from job requisitions, using both a reference corpus word embedding model and a target corpus word embedding model. The computer generates features extracted from the first similarity scores and the second similarity scores. Based on the features, the computer trains a machine learning model for classifying combinations of skills as adjacent and non-adjacent. The machine learning model is used to determine skill adjacencies between skills extracted from the job requisitions and skills extracted from resumes.


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