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:
Sep. 22, 2020

Filed:

Jul. 29, 2019
Applicant:

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

Inventors:

Kumar Nagaraja Rao, Fremont, CA (US);

Kamer Toker Yildiz, Campbell, CA (US);

Jennifer Haskell, Sunnyvale, CA (US);

Cristina Ion, Belmont, CA (US);

Mimi Zhang, San Francisco, CA (US);

Assignee:

THE NIELSEN COMPANY (US), LLC, New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/466 (2011.01); H04N 21/442 (2011.01); H04N 21/81 (2011.01); H04N 21/258 (2011.01); H04N 21/45 (2011.01); H04N 21/25 (2011.01); G06Q 30/00 (2012.01); G06Q 30/02 (2012.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
H04N 21/4663 (2013.01); G06Q 30/00 (2013.01); G06Q 30/02 (2013.01); G06Q 30/0241 (2013.01); G06Q 30/0251 (2013.01); H04N 21/252 (2013.01); H04N 21/25883 (2013.01); H04N 21/25891 (2013.01); H04N 21/44222 (2013.01); H04N 21/4532 (2013.01); H04N 21/4661 (2013.01); H04N 21/4667 (2013.01); H04N 21/812 (2013.01); G06Q 50/01 (2013.01);
Abstract

Methods and apparatus to predict demographics are disclosed. An example apparatus includes a prediction manager to access matched demographic impression data when a database proprietor subscriber does not match user data corresponding to a media delivery device, the matched demographic impression data including first demographic data stored by a database proprietor; a linear scaler to linearly scale the matched demographic impression data when the matched demographic impression data covers all demographic categories under consideration; a differential scaler to differentially scale the matched demographic impression data when the matched demographic impression data does not cover at least one of the demographic categories; and a modeler to: generate a model representative of the matched demographic impression data linearly scaled or the matched demographic impression data differentially scaled; and generate predicted demographic impression data by applying the model to second impression data to correct for the database proprietor not storing second demographic data.


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