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. 02, 2022

Filed:

Dec. 08, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Chenyu Zhao, Mountain View, CA (US);

Di Wang, Santa Clara, CA (US);

Samuel Sze Ming Ieong, Mountain View, CA (US);

Christopher K. Harris, Los Altos, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); H04L 67/1095 (2022.01); H04L 67/1097 (2022.01); H04L 67/53 (2022.01); H04L 67/61 (2022.01); G06F 16/951 (2019.01); G06F 16/9535 (2019.01);
U.S. Cl.
CPC ...
H04L 67/1095 (2013.01); G06F 16/951 (2019.01); G06F 16/9535 (2019.01); G06Q 30/0249 (2013.01); G06Q 30/0277 (2013.01); H04L 67/1097 (2013.01); H04L 67/20 (2013.01); H04L 67/322 (2013.01);
Abstract

Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial selection value for distribution over each different online channel. An observed user actions required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed user actions received through the feedback loop, a predicted user action rate is determined for the multiple different distributions across the multiple different online channels. The selection value is adjusted based on a difference between the predicted user action rate and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted selection value.


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