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. 09, 2025

Filed:

Dec. 10, 2024
Applicant:

Zefr, Inc., Los Angeles, CA (US);

Inventors:

Jonathan Morra, El Segundo, CA (US);

Zachary Mcpherson, La Crescenta, CA (US);

Ryan De Marigny, Fresno, CA (US);

Assignee:

ZEFR, Inc., Los Angles, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/248 (2019.01); G06F 16/28 (2019.01);
U.S. Cl.
CPC ...
G06F 16/285 (2019.01); G06F 16/248 (2019.01);
Abstract

For generating policy labels, a method generates at least one characteristic question that represents an interest policy. The method identifies characteristic question examples from a searchable database, wherein at least one characteristic question example represents each answer to each characteristic question. The method generates first policy labels for each characteristic question of the characteristic question examples. The method generates a content set of search results from the searchable database for search terms generated from each characteristic question. The method generates characteristic labels for the content set using a classifier Multimodal Large Language Model (MLLM) and a confidence criteria. The method generates second policy labels from the characteristic labels for the content set. The method trains a classifier model based on the content set and the second policy labels. The method generates a given policy label for media content using the classifier model.


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