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:
Sep. 29, 2026

Filed:

Dec. 15, 2023
Applicant:

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

Inventors:

Jinghai He, Berkeley, CA (US);

Chuandong Zhou, Westminster, CO (US);

Huawu Deng, Gatineau, CA;

Pramod Varma, Boulder, CO (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/0251 (2023.01);
U.S. Cl.
CPC ...
G06Q 30/0254 (2013.01);
Abstract

Embodiments of a user behavior inference system are disclosed that uses a multi-level machine learning (MLML) model to make inferences about user behaviors. The MLML model is organized in multiple levels, where an upper level processes part of the model input to generate control parameters for a lower level, and the lower level processes another part of the model input according to the control parameters to generate inference results. In embodiments, the upper level receives a user feature vector of a user and the lower level receives a behavior feature vector of the user. In embodiments, the model is trained to output a propensity score of the user for acquiring an item, and an item feature vector is included in the model input. Advantageously, the multi-level model architecture reduces the overall size of the model and the amount of training time and data needed to achieve a desired model performance.


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