The Nielsen Comapny (us), LLC

Edmond Wong

Ludo Daemen

Jonathan Lee Sullivan

Peter Campbell Doe

Michael R Sheppard

Edward Murphy

Jing Liu

Robert C Smith

Beate Sissenich

Alexander Radev

Vippal Savani

Christophe Koell

William Somers

Joseph Gregory Milavsky

Luc Zio

John A Mann

A disclosed example includes determining a plurality of cross-demographic total census parameter values based on ratios of third-party impression counts and third-party audience sizes, selecting a first cross-demographic total census parameter value as an upper bound constraint from the plurality of cross-demographic total census parameter values based on comparisons between ones of the plurality of cross-demographic total census parameter values, selecting a second cross-demographic total census parameter value from the plurality of cross-demographic total census parameter values based on the second cross-demographic total census parameter value being less than the upper bound constraint, determining a first census-level audience size based on the second cross-demographic total census parameter value, and determining a first census-level impression count based on the second cross-demographic total census parameter value.

Methods and apparatus to estimate census level impressions and unique audience sizes across demographics

Methods, apparatus, systems and articles of manufacture are disclosed to estimate media audience consistency. An example apparatus disclosed herein includes a record manager to access media measurement data communicated via a network from a plurality of media monitors, the media measurement data corresponding to a plurality of panelists. The apparatus further includes a consistency calculator to determine a first number of the panelists exposed to a first quantity of a first broadcast, determine a second number of the panelists exposed to a second quantity of the first broadcast, and output a consistency metric associated with the first broadcast, the consistency metric being based on a variation of at least the first number and the second number.

Apparatus and methods to estimate media audience consistency

Methods, systems, and apparatus for calibrating data using relaxed benchmarks constraints are described. An example apparatus for generating a unique solution when calibrating data via a calibration model having relaxed benchmark constraints includes a calibration engine to execute the calibration model based on a target loss function, a weight loss function, and a budget parameter. The example apparatus further includes a calibrated weights determiner to determine calibrated weights resulting from execution of the calibration model. The example apparatus further includes a calibration model validator to incorporate a stability parameter into the calibration model in response to determining that the calibrated weights do not provide a unique solution for the executed calibration model. The stability parameter is to reduce an influence of the budget parameter on the calibration model to enable the generation of a unique solution.

Methods, systems and apparatus for calibrating data using relaxed benchmark constraints

An example apparatus to determine census-based audience metrics of media across multiple demographics includes an audience size determiner to determine a first census-level audience size based on a third-party audience size, a third-party impression count, and a first cross-demographic total census parameter value; an impression counts determiner to determine a first census-level impression count based on the third-party audience size, the third-party impression count, and the first cross demographic total census parameter value; and a verifier to determine whether the first cross-demographic total census parameter value satisfies a constraint based on the first census-level impression count; and when the constraint is not satisfied the verifier to: (a) discard the first cross-demographic total census parameter value, and (b) select a second cross-demographic total census parameter value, the second cross-demographic total census parameter value to determine a second census-level audience size and a second census-level impression count to satisfy the constraint.

Methods, apparatus, systems and articles of manufacture to perform identity matching across audience measurement systems are disclosed. An example apparatus includes processor circuitry to execute computer readable instructions to identify a first one of a plurality of search spaces in a data structure based on a query event, the data structure based on audience measurement events corresponding to a first audience measurement system, the query event corresponding to a second audience measurement system, determine the query event and a first audience measurement event in the search space are a candidate match when a distance between the query event and the first audience measurement event satisfies a threshold, generate a profile for a first user identifier based on the audience measurement events associated with the first audience measurement system based on the candidate match, the profile including the second user identifier but not the first user identifier, and provide the profile to the second audience measurement system without the first user identifier.

Methods and apparatus to perform identity matching across audience measurement systems

Methods, systems and apparatus for calibrating data using relaxed benchmarks constraints are described. An example apparatus for generating a unique solution when calibrating data via a calibration model having relaxed benchmark constraints includes a calibration engine to execute the calibration model based on a target loss function, a weight loss function, and a budget parameter. The example apparatus further includes a calibrated weights determiner to determine calibrated weights resulting from execution of the calibration model. The example apparatus further includes a calibration model validator to incorporate a stability parameter into the calibration model in response to determining that the calibrated weights do not provide a unique solution for the executed calibration model. The stability parameter is to reduce an influence of the budget parameter on the calibration model to enable the generation of a unique solution.

Methods, apparatus, systems and articles of manufacture to perform identity matching across audience measurement systems are disclosed. An example apparatus includes a data normalizer to normalize audience measurement events corresponding to media exposure data obtained from a first audience measurement system and a second audience measurement system, a tree builder to build a k-dimensional tree based on normalized audience measurement events, a candidate identifier to calculate a distance between a query event and a first audience measurement event included in a search space in the k-dimensional tree, identify the query event and the first audience measurement event as a candidate match when the calculated distance satisfies a distance threshold, an array builder to generate metrics at an identifier-level based on a plurality of candidate matches, and a thresholder to identify an identifier mapping linking a first user identifier to a second user identifier when the metrics satisfy respective metric thresholds.

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New York, NY, United States of America

Edmond Wong