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. 10, 2020
Filed:
Oct. 10, 2019
Applicant:
Zefr, Inc., Venice, CA (US);
Inventors:
Jonathan Morra, El Segundo, CA (US);
Oded Noy, Los Angeles, CA (US);
Assignee:
ZERF, Inc., Los Angeles, CA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 9/80 (2006.01); G06F 16/71 (2019.01); G06N 3/08 (2006.01); G06F 16/78 (2019.01); G06Q 30/02 (2012.01); G06Q 30/08 (2012.01); G06F 16/738 (2019.01); G06F 16/732 (2019.01); H04N 5/93 (2006.01);
U.S. Cl.
CPC ...
G06F 16/71 (2019.01); G06F 16/732 (2019.01); G06F 16/738 (2019.01); G06F 16/7867 (2019.01); G06N 3/08 (2013.01); G06Q 30/0277 (2013.01); G06Q 30/08 (2013.01);
Abstract
For predicting a concept prediction, a processor generates a review job that includes a review question and a corresponding expert concept prediction for an expert media set drawn from a media corpus. The processor generates media reviews from a plurality of reviewers using the review job for the expert media set. The processor extracts media features for the media of the media reviews. The processor trains a review model with the media reviews and corresponding media features. The processor predicts the concept prediction for media of the media corpus using the review model.