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:
Nov. 09, 2021
Filed:
Aug. 03, 2017
Applicant:
Facebook, Inc., Menlo Park, CA (US);
Inventors:
Alexander Peysakhovich, San Francisco, CA (US);
Michael Randolph Corey, New York, NY (US);
Neha Bhargava, San Francisco, CA (US);
Hannah Siow Pavalow, Brooklyn, NY (US);
Assignee:
Facebook, Inc., Menlo Park, CA (US);
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06Q 30/02 (2012.01); G06N 20/00 (2019.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G06N 3/0472 (2013.01); G06N 20/00 (2019.01); G06Q 30/0202 (2013.01); G06Q 30/0243 (2013.01); G06Q 50/01 (2013.01);
Abstract
Systems, methods, and non-transitory computer readable media can determine a representation of an advertisement based on a first machine learning model. The representation can be provided to a second machine learning model. One or more qualitative ratings associated with the advertisement can be determined based on the second machine learning model.
Peysakhovich, Alexander. (2021). Systems and methods for predicting qualitative ratings for advertisements based on machine learning (U.S. Patent No. 11170288). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11170288
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile