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.
Patent No.:
Date of Patent:
Jun. 16, 2020
Filed:
Jan. 04, 2016
Applicant:
Facebook, Inc., Menlo Park, CA (US);
Inventor:
Miaoqing Fang, Menlo Park, CA (US);
Assignee:
Facebook, Inc., Menlo Park, CA (US);
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06Q 10/10 (2012.01); G06F 16/2455 (2019.01); G06F 16/2457 (2019.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 16/24556 (2019.01); G06F 16/24578 (2019.01); G06Q 10/105 (2013.01);
Abstract
Systems, methods, and non-transitory computer readable media are configured to determine a training set to train a machine learning model. A feature set for the model is determined. The model is trained based on the training set and the feature set to determine a score reflecting a probability that each user in an evaluation set of users is qualified for employment with an organization. A ranking of users in the evaluation set is provided based on the score determined for each user.
Fang, Miaoqing. (2020). Systems and methods to rank job candidates based on machine learning model (U.S. Patent No. 10685291). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10685291
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile