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:
Aug. 23, 2022

Filed:

Jul. 31, 2020
Applicant:

Amazon Technologies, Inc., Seattle, WA (US);

Inventors:

Xianshun Chen, Seattle, WA (US);

Lichao Wang, Seattle, WA (US);

Archiman Dutta, Shoreline, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/35 (2019.01); G06F 16/51 (2019.01); G06K 9/62 (2022.01); G06N 20/00 (2019.01); G06Q 10/10 (2012.01);
U.S. Cl.
CPC ...
G06F 16/35 (2019.01); G06F 16/51 (2019.01); G06K 9/6215 (2013.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01);
Abstract

Respective text feature sets and non-text feature sets are generated corresponding to individual pairs of a plurality of record pairs. At least one text feature is based on whether a text token exists in both records of a pair. Perceptual hash values are used for non-text feature sets. A machine learning model is trained, using the text and non-text feature sets, to generate relationship scores for record pairs. The model includes a text sub-model and a non-text sub-model.


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