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. 06, 2024

Filed:

Nov. 14, 2022
Applicant:

The Nielsen Company (Us), Llc, New York, NY (US);

Inventors:

David J. Kurzynski, South Elgin, IL (US);

Balachander Shankar, Tampa, FL (US);

Richard Peters, Gurnee, IL (US);

Jonathan Sullivan, Hurricane, UT (US);

Molly Poppie, Arlington Heights, IL (US);

Assignee:

The Nielsen Company (US), LLC, New York, NY (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 7/01 (2023.01); G06Q 30/0251 (2023.01); H04N 21/442 (2011.01); H04N 21/45 (2011.01); H04N 21/466 (2011.01); H04N 21/84 (2011.01);
U.S. Cl.
CPC ...
H04N 21/4667 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06Q 30/0255 (2013.01); H04N 21/44224 (2020.08); H04N 21/4532 (2013.01); H04N 21/84 (2013.01);
Abstract

Methods, apparatus, systems and articles of manufacture to impute media consumption behavior are disclosed. An example system includes one or more media meters to obtain tuning data, one or more people meters to obtain viewing data, and one or more servers to, in response to a determination that a difference satisfies a first threshold, determine that a first subset of the tuning data associated with first panelist households having tuned to first media in a first area exhibits local bias, determine that a second subset of the viewing data associated with second panelist households having viewed the first media in the second area represents heavy viewing, and impute the second subset of the viewing data for the first subset of the tuning data in response to the second subset of the viewing data representing heavy viewing.


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