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:
Apr. 16, 2024

Filed:

Nov. 12, 2021
Applicant:

Freewheel Media, Inc., Philadelphia, PA (US);

Inventors:

Seth Haberman, New York, NY (US);

Robert Bress, New Providence, NJ (US);

Claudio Marcus, Andover, NH (US);

Assignee:

FreeWheel Media, Inc., Philadelphia, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/81 (2011.01); G06Q 30/0241 (2023.01); G11B 27/10 (2006.01); H04N 21/234 (2011.01); H04N 21/258 (2011.01); H04N 21/442 (2011.01); H04N 21/45 (2011.01); H04N 21/845 (2011.01);
U.S. Cl.
CPC ...
H04N 21/812 (2013.01); G06Q 30/0241 (2013.01); G11B 27/10 (2013.01); H04N 21/23424 (2013.01); H04N 21/25883 (2013.01); H04N 21/44204 (2013.01); H04N 21/4508 (2013.01); H04N 21/4532 (2013.01); H04N 21/8456 (2013.01);
Abstract

Systems and methods for the optimized allocation of content within a universe of inventory are described. For example, a method may include receiving content comprising at least one characteristic and at least one goal. A universe of inventory may be accessed that comprises a plurality of targets which may be assigned into a plurality of segments based on at least one demographic vector. An allocation optimization model may be generated based on the at least one content characteristic, the at least one goal and the plurality of segments. The content may be presented to the targets based on the allocation optimization model. Viewing data may be received that comprises data associated with target consumption of the content and the allocation optimization module may be re-optimized based on the viewing data. Additional factors, such as resource constraints and/or filtering rules, may be used when re-optimizing the allocation optimization module.


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