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:
Jul. 18, 2023

Filed:

Jan. 25, 2022
Applicant:

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

Inventors:

Xinyu Zhou, Bellevue, WA (US);

Qie Hu Huang, Sunnyvale, CA (US);

Shuang Li, Los Angeles, CA (US);

Ying Zhang, Bellevue, WA (US);

Yongzhen Lu, Mountlake Terrace, WA (US);

Vamshi Krishna Surabhi, Redmond, WA (US);

Vykunth Ashok, Bellevue, WA (US);

Robert James Victor, Brookville, PA (US);

Kirtan Modi, Seattle, WA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/262 (2011.01); H04N 21/25 (2011.01); H04N 21/81 (2011.01); H04N 21/258 (2011.01);
U.S. Cl.
CPC ...
H04N 21/252 (2013.01); H04N 21/25883 (2013.01); H04N 21/26241 (2013.01); H04N 21/812 (2013.01);
Abstract

Devices, systems, and methods are provided for on-target rate optimization for video. A method may include receiving streaming video advertisement impression data; receiving user activity data indicative of day-parts when viewers watch content; generating, based on the streaming video advertisement impression data and the survey data, using a machine learning model, a demographic probability vector, wherein each entry of the demographic probability vector is indicative of a probability that a viewer is in a respective age range of the non-overlapping demographic groups; generating, using the machine learning model, an audience recognition model with the demographic probability vector; generating a synthetic audience model predicting future advertisement viewing behavior; generating an assignment of an advertisement bid to a respective demographic group of the non-overlapping demographic groups; and generating, based on the assignment, a list of target demographic groups of the non-overlapping demographic groups for a bid request associated with the advertisement bid.


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