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:
Jun. 29, 2021

Filed:

Jun. 20, 2016
Applicant:

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

Inventors:

Jim Huang, Seattle, WA (US);

Weam Abu Zaki, Seattle, WA (US);

Cody Barnhart, Seattle, WA (US);

Teresa Chen, Bellevue, WA (US);

Paula Marie Despins, Seattle, WA (US);

Yu Gan, Seattle, WA (US);

Kelly Paulson, Seattle, WA (US);

Kyle Tiffany, Seattle, WA (US);

Fabian Lutz-Frank Wauthier, Seattle, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0244 (2013.01); G06Q 30/0249 (2013.01);
Abstract

Systems, methods, and computer-readable media are disclosed for automated server-based content delivery. In one embodiment, an example method may include determining campaign information for a content delivery campaign, the campaign information comprising a first allocation value for first content, and a second allocation value for second content, determining first observed data comprising a first user response rate for the first content and a second user response rate for the second content, determining an exponentiated gradient algorithm for the content delivery campaign, and determining a reallocation amount to reallocate a portion of the first allocation value to the second allocation value using the exponentiated gradient algorithm based at least in part on the first observed data, wherein the reallocation amount maximizes an output of the exponentiated gradient algorithm.


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