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:
Oct. 28, 2025

Filed:

Aug. 31, 2021
Applicant:

S&p Global Inc., New York, NY (US);

Inventors:

Brian Tsay, Sunnyvale, CA (US);

Jason Prentice, Lexington, MA (US);

James Ryan Psota, Cambridge, MA (US);

Assignee:

S&P Global Inc., New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/087 (2023.01); G06F 16/903 (2019.01); G06F 18/213 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06Q 10/087 (2013.01); G06F 16/90335 (2019.01); G06F 18/213 (2023.01); G06N 3/08 (2013.01);
Abstract

A method for identifying a parent company in a corporate hierarchy is provided. A neural network embeds a number of company names into respective numeric vectors and then indexes the vectors into an approximate nearest neighbors (ANN) index according to euclidean distances between them. In response to a query regarding a parent company of a specified query company, a top N number of nearest neighbor companies to the query company is extracted from the ANN index. A machine learning voting model determines which, if any, of the extracted nearest neighbor companies has a parent company that best corresponds to the query company. If an extracted nearest neighbor company has a parent company that best corresponds to the query company, the parent company is displayed to a user through a user interface.


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