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. 19, 2024

Filed:

Jun. 03, 2022
Applicant:

Moat Metrics, Inc., Spokane, WA (US);

Inventors:

David Craig Andrews, Duvall, WA (US);

Deanna Lily Emery, Chicago, IL (US);

Melody Denise Litovkin, Redmond, WA (US);

Ke Feng, Chicago, IL (US);

Stacy P. Chronopoulos, Chicago, IL (US);

Grace Edith Carlson, Issaquah, WA (US);

Assignee:

Moat Metrics, Inc., Spokane, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2023.01); G06N 20/00 (2019.01); G06Q 50/18 (2012.01);
U.S. Cl.
CPC ...
G06Q 50/184 (2013.01); G06N 20/00 (2019.01);
Abstract

Systems and methods for dataset distinctiveness modeling are disclosed. For example, databases may be queried for datasets associated with intellectual property assets, particularly trademarks. A vector representation may be generated for the mark in question, and a vector representation may be generated for the description of goods and/or services associated with the mark. A machine learning model may be trained to predict a distinctiveness score based on the vector representations, similarity metrics between the trademark and other marks, goods and services of the other marks, and context data associated with the trademarks.


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