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. 15, 2022

Filed:

Sep. 06, 2019
Applicant:

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

Inventors:

Matthew Butler, Seattle, WA (US);

Christos Faloutsos, Pittsburg, PA (US);

Mina Loghavi, Kirkland, WA (US);

Yi Fan, Seattle, WA (US);

Assignee:

AMAZON TECHNOLOGIES, INC., Seattle, WA (US);

Attorney:
Int. Cl.
CPC ...
G06Q 10/00 (2012.01); G06Q 10/06 (2012.01); G06N 20/00 (2019.01); G06Q 20/40 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/0635 (2013.01); G06N 20/00 (2019.01); G06Q 20/4016 (2013.01);
Abstract

Devices and techniques are generally described for fraud detection. A machine learning model is used to determine a first fraud risk score for a first transaction. The machine learning model includes a first set of weights. A first covariance matrix is determined for the machine learning model based at least in part on the first fraud risk score. A second set of weights for the machine learning model is determined. The second set of weights is determined based on the first set of weights and the first covariance matrix. In various examples, the machine learning model with the second set of weights is used to determine a second fraud risk score for a second transaction. A fraud decision surface is determined and the second fraud risk score is compared to the fraud decision surface. Data indicating that the second transaction is fraudulent is sent to a computing device.


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