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:
Apr. 26, 2022

Filed:

Aug. 21, 2020
Applicant:

Disney Enterprises, Inc., Burbank, CA (US);

Inventors:

Christopher C. Stoafer, Seattle, WA (US);

Jordi Badia Pujol, Madrid, ES;

Francesc Josep Guitart Bravo, Lleida, ES;

Marc Junyent Martin, Barcelona, ES;

Miquel Angel Farre Guiu, Bern, CH;

Calvin Lawson, Seattle, WA (US);

Erick L. Luerken, Seattle, WA (US);

Assignee:

Disney Enterprises, Inc., Burbank, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/215 (2019.01); G06F 16/2453 (2019.01); G06F 9/48 (2006.01); G06F 11/34 (2006.01); G06F 16/21 (2019.01); G06F 16/178 (2019.01); G06F 16/2458 (2019.01); G06F 16/383 (2019.01); G06F 17/11 (2006.01); G06F 30/27 (2020.01); G06F 16/33 (2019.01);
U.S. Cl.
CPC ...
G06F 16/215 (2019.01); G06F 9/4881 (2013.01); G06F 11/3419 (2013.01); G06F 11/3433 (2013.01); G06F 16/1794 (2019.01); G06F 16/217 (2019.01); G06F 16/2462 (2019.01); G06F 16/24542 (2019.01); G06F 16/24549 (2019.01); G06F 16/3346 (2019.01); G06F 16/383 (2019.01); G06F 17/11 (2013.01); G06F 30/27 (2020.01);
Abstract

A metadata aggregation system includes a computing platform having a hardware processor and a memory storing a software code including a trained entity matching predictive model trained using training data obtained from a reference database. The hardware processor executes the software code to obtain metadata inputs from multiple sources, conform the metadata inputs to a common format, match, using the trained entity matching predictive model, at least some of the conformed metadata inputs to the same entity, and determine, using the trained entity matching predictive model, a confidence score for each match. The software code further sends a request to one or more human editor(s) for confirmation of each match having a confidence score greater than a first threshold and less than a second threshold, and updates the reference database, in response to receiving a confirmation that at least one match is a confirmed match, to include the confirmed match.


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