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:
Mar. 25, 2025

Filed:

Dec. 01, 2021
Applicant:

Hummingbird Ip, Llc, Orlando, FL (US);

Inventors:

Michael A. Liberty, Orlando, FL (US);

Ricardo O. Giovannone, Albiate, IT;

Giovanni A. Dalmaso, Houston, TX (US);

Assignee:

HUMMINGBIRD IP, LLC, Orlando, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/23 (2019.01); G06F 16/334 (2025.01); G06F 16/34 (2019.01); G06F 16/38 (2019.01); G06F 16/901 (2019.01); G06F 16/93 (2019.01); G06F 16/955 (2019.01); G06F 40/205 (2020.01); G06V 30/412 (2022.01); G06V 30/413 (2022.01); G06V 30/416 (2022.01);
U.S. Cl.
CPC ...
G06V 30/416 (2022.01); G06F 16/2379 (2019.01); G06F 16/3344 (2019.01); G06F 16/34 (2019.01); G06F 16/382 (2019.01); G06F 16/901 (2019.01); G06F 16/9024 (2019.01); G06F 16/93 (2019.01); G06F 16/9558 (2019.01); G06F 40/205 (2020.01); G06V 30/412 (2022.01); G06V 30/413 (2022.01);
Abstract

A patent matching analysis system receives an input indicating a source patent or a court case. When the input indicates a court case, the system identifies a patent associated with the court case, which is deemed as a source patent. For each source patent, the system retrieves a source patent document, parses textual information of the source patent document using an NLP engine, extracts a first set of features, and generates a first feature vector. The system then identifies multiple candidate patents. For each of the candidate patents, the system retrieves a candidate patent document, parses the textual information, extracts a second set of features, and generates a second feature vector. The system then determines a similarity between the first and second feature vectors. Based on the determined similarities, the system identifies one or more target patents, and visualizes the source patent and the determined target patents.


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