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:
Oct. 15, 2019

Filed:

Oct. 31, 2017
Applicant:

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

Inventors:

Michael Sheppard, Holland, MI (US);

Edward Murphy, North Stonington, CT (US);

Chris Samuel Redino, New York, NY (US);

Michael D. Morgan, Bartlett, IL (US);

Jonathan Sullivan, Hurricane, UT (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/258 (2011.01); H04N 21/442 (2011.01); H04N 21/2668 (2011.01); H04N 21/25 (2011.01);
U.S. Cl.
CPC ...
H04N 21/25841 (2013.01); H04N 21/25883 (2013.01); H04N 21/2668 (2013.01); H04N 21/44222 (2013.01); H04N 21/252 (2013.01);
Abstract

Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assign synthetic respondents to geographic locations for audience measurement are disclosed. Example apparatus disclosed herein include a constraint identifier to determine a set of constraints based on aggregate values of demographic features associated with the geographic locations. Disclosed example apparatus also include a parameter evaluator to determine a set of parameters of a model that is to return probabilities that respective ones of the respondents are associated with respective ones of the geographic locations, respective ones of the parameters being associated with respective ones of the constraints. Disclosed example apparatus further include a location estimator to evaluate the model based on the set of parameters and values of the demographic features for a first respondent to determine a set of probabilities that the first respondent is to be assigned to respective ones of the geographic locations.


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