The Nielsen Comapny (us), LLC

Centurion Wireless Technologies, Inc.

Centurion International, Inc.

Roku, Inc.

Other

Laird Technologies Gmbh

The Nielson Company (us), LLC

Centurion Intl., Inc.

The Neilsen Company (us), LLC

Jonathan Lee Sullivan

Michael R Sheppard

Peter Lipa

Alejandro Terrazas

Edward Murphy

Molly Poppie

Michael D Morgan

Balachander Shankar

David J Kurzynski

Peter Campbell Doe

Ludo Daemen

Diane Morovati Lopez

Jake Ryan Dailey

Matthew B Reid

Christie Nicole Summers

Neung Soo Ha

Jessica D Brinson

Rachel Worth Olson

Frank Downing

Peng Fei Yi

Samantha M Mowrer

Paul J Chimenti

Remy Spoentgen

John Charles Coughlin

Christine Pierce

Damien Forthomme

Bruce Hoynoski

Anthony P Venetucci

Richard Peters

Wei Xie

PengFei Yi

Logan Thomas

Shelli Kashriel

Michelle Christian

Katya Sotiris

Chris Samuel Redino

Albert Ronald Perez

Michael Allen Bivins

Dongbo Cui

Kenneth D Simmons

James Blake Winter

Joshua Ivan Friedman

Brian Schiller

ChoongKoo Lee

Adam E Hasinski

Paul Donato

Bradley Scott Haussler

Edmond Wong

Thomas Harrington

Kevin Keqiang Deng

Stephen S Bell

Billie Jo Kline

Matthew VanLandeghem

Anthony P Vejraska

Sagar Sanghavi

DongBo Cui

Douglas McKeown

Frank George Hamma

Cesar Arocho

Glen A Wilcox

Kali Bogovich

Mala Sivarajan

Shruthi Koundinya Nagaraja

Calvin James Bissett

Lianghua Shao

Arushi Kumar

Gwendolyn Gillingham

Andrew Stannard

Christine Heiss

Shuangxing Chen

Matt Reid

Steve Jones

Douglas Kenneth Rosener

Jing Liu

Dipti Umesh Shah

Choongkoo Lee

Jessica Lynn White

David Forteguerre

Ulf Palin

Stefan Lofgren

Robert Jacek Slawinski

Evan Brydon

Albert Robert Perez

Luis Enrique Ordoñez

Roger Guevara

Blake Winter

Frank Hamma

William P Hayes

Matthew Zipoy

Olabode O Oyeneye

Yves Greatti

Nico Van De Bovenkamp

Caleb Goertel

Marco Huertas

John Charles Torres

Edward Carter

Disclosed examples to estimate audience sizes of media include a coefficient generator to determine coefficient values for a polynomial based on normalized weighted sums of variances, a normalized weighted sum of covariances, and cardinalities corresponding to a first plurality of vectors of counts from a first database proprietor and a second plurality of vectors of counts from a second database proprietor, a real roots solver to determine a real root value of the polynomial, the real root value indicative of a number of audience members represented in the first plurality of vectors of counts that are also represented in the second plurality of vectors of counts, and an audience size generator to determine the audience size based on the real root value and the cardinalities of the first plurality of vectors of counts and the second plurality of vectors of counts.

Methods and apparatus to estimate audience sizes of media using deduplication based on multiple vectors of counts

Methods, apparatus, systems, and articles of manufacture to estimate cardinality of users represented in arbitrarily distributed bloom filter arrays are disclosed. A system includes a communication interface to: access a first Bloom filter array representative of first entries in a first database, the first entries allocated to ones of first elements in the first Bloom filter array based on a non-uniform distribution of outputs of a hash function applied to the first entries, and access a second Bloom filter array representative of second entries in a second database. The system also includes machine readable instructions to cause one or more processors to estimate a cardinality of a union of the first and second entries based on the non-uniform distribution of the outputs of the hash function.

Methods and apparatus to estimate cardinality of users represented in arbitrarily distributed bloom filters

Disclosed examples access media impression data via one or more wireless communications, the media impression data including panel data obtained from a meter and impression information obtained after an access of media at a computing device; determine an audience deduplication based on the panel data; determine odds ratios for platform combinations based on the audience deduplication; determine posterior distributions for the media based on the odds ratios; perform a sequential odds ratio insertion technique based on the posterior distributions to determine unique audience sizes; align the unique audience sizes based on a constraint; and generate a report including the aligned unique audience sizes.

Methods and apparatus to deduplicate audience estimates from multiple computer sources

Methods and apparatus to determine probabilistic media viewing metrics are disclosed herein. An example apparatus includes memory including machine reachable instructions; and processor circuitry to execute the instructions to calculate a first probability for respective ones of a plurality of panelists as having viewed media based on viewing data, the viewing data including incomplete viewing data for one or more of the panelists relative to the media; identify respective ones of a plurality of panelists as included in a demographic subgroup based on demographic data for the panelists; assign a sampling weight to the respective ones of the plurality of panelists based on the demographic data; and calculate a second probability of the demographic subgroup having viewed the media based on the first probabilities and the sampling weights for the respective ones of the plurality of panelists in the demographic subgroup.

Methods and apparatus to determine probabilistic media viewing metrics

Methods and apparatus to correct for deterioration of a demographic model to associate demographic information with media impression information are disclosed. An example method includes estimating first and second ages of audience members based on demographic information; estimating a third age of an audience member who is not included in the audience members; applying a window function to the second ages to determine a distribution of ages based on the third age; multiplying window values by the first ages to determine corrected first age components; dividing a total of the corrected first age components by a sum of the window values to determine an estimated age of the audience member at a first time; and determining the corrected age of the audience member at a second time based on the estimated age of the audience member at the first time and a time difference between the first and second times.

Methods and apparatus to correct for deterioration of a demographic model to associate demographic information with media impression information

Disclosed examples determine a unique audience exposed to media while reducing memory resources of a computing device. Example instructions program programmable circuitry to log a plurality of impressions corresponding to media accessed at client devices; generate a first value based on a count of the impressions and a count of users of a database proprietor that accessed the media; generate a second value based on the first value and a count of demographic impressions logged by the database proprietor; and determine a unique audience size based on the second value.

Methods and apparatus for estimating total unique audiences

Methods and apparatus to model on/off states of media presentation devices based on return path data are disclosed. An apparatus includes a memory and processor circuitry to execute instructions stored in the memory to: generate a probability distribution of actual durations of first tuning segments, the first tuning segments representative of lengths of time during which panelists accessed first media; modify the lengths associated with ones of the first tuning segments to generate second tuning segments having second durations; and estimate a time when a media device associated with a return path data (RPD) device is powered on based on (i) the probability distribution, (ii) the second tuning segments, and (iii) a third tuning segment during which the RPD device accessed second media, the third tuning segment reported from the RPD device.

Methods and apparatus to model on/off states of media presentation devices based on return path data

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

Assigning synthetic respondents to geographic locations for audience measurement

Example methods, apparatus, systems, and articles of manufacture are disclosed to estimate population reach for different unions based on marginal ratings. An example apparatus includes memory and processor circuitry to determine a population reach estimate of a union of time intervals for which media ratings data is available, the population reach estimate based on a pseudo universe estimate of a population audience corresponding to the union of the time intervals; determine a pseudo universe estimate of a recorded audience corresponding to the union of the time intervals; determine the pseudo universe estimate of the population audience based on the pseudo universe estimate of the recorded audience; and in response to a decision to update the pseudo universe estimate of the population audience to reduce an error of the population reach estimate output the population reach estimate of the union when the error of the population reach estimate satisfies a threshold.

Methods and apparatus to estimate population reach from different marginal rating unions

Disclosed examples access data from a database, the data stored across multiple registers of the database; determine (a) a maximum rank for each of the multiple registers and (b) a maximum rank count for each of the multiple registers; determine a frequency distribution based on the maximum ranks and the maximum rank counts; and generate a report including at least one of the frequency distribution, the maximum ranks, or the maximum rank counts.

Methods and apparatus to determine a frequency distribution for data in a database

Methods and apparatus to calibrate media ratings based on return path data are disclosed. An apparatus includes programmable circuitry to execute machine readable instructions to: determine a subscriber calibration factor for media based on first panel tuning information obtained from first metering devices in first panelist households that subscribe to a content provider that provides media through return path data (RPD) devices; determine a nonsubscriber calibration factor for the media based on second panel tuning information obtained from second metering devices in second panelist households that do not subscribe to the content provider; and determine a final rating for the media based on an initial rating and at least one of the subscriber calibration factor or the nonsubscriber calibration factor, the initial rating based on RPD tuning information obtained from RPD devices in subscriber households that subscribe to the content provider.

Methods and apparatus to calibrate audience measurement ratings based on return path data

Methods and apparatus to estimate audience sizes using deduplication based on binomial sketch data are disclosed. An apparatus includes processor circuitry to instantiate coefficient analyzer circuitry to determine coefficient values of a polynomial based on (i) variances in values in the first sketch data and second sketch data, (ii) a first cardinality of the first sketch data, and (iii) a second cardinality of the second sketch data. The processor circuitry to instantiate overlap analyzer circuitry to determine a real root of the polynomial, the real root corresponding to the quantity of the second subscribers that are duplicates of the first subscribers. The processor circuitry to instantiate report generator circuitry to estimate a deduplicated audience size based on the estimate of the quantity of the second subscribers that are duplicates of the first subscribers and the first and second cardinalities.

Methods and apparatus to estimate audience sizes of media using deduplication based on binomial sketch data

A disclosed example includes: at least one memory; instructions; and processor circuitry to execute the instructions to at least: determine a first sum of estimated individual cardinalities of audience members of first and second media platforms; determine a second sum of estimated pairwise cardinalities of ones of the audience members belonging to both the first and second media platforms; and generate lower and upper bound estimates of a deduplicated audience size based on the first and second sums; and send the deduplicated audience size to a computing device via a network communication.

Methods and apparatus to estimate unique audience sizes across multiple intersecting platforms

A computer-implemented method for efficiently estimating the number of unique elements in a collection of elements comprises generating, via hash logic, hash values associated with the elements. The hash values specify bit positions within an array of bits. Hash values output from the hash logic conform to a geometric distribution such that bit positions of the array of bits corresponding to lower orders bits are more likely to be generated than bit positions corresponding to higher-order bits. Bits of the array of bits corresponding to the bit positions are set. The number of bits of the array of bits that are set is counted. Estimation logic estimates the number of unique elements of the collection of elements as a function of the number of bits of the array of bits that are set.

Method and system for estimating the cardinality of information

Methods, apparatus, systems, and articles of manufacture are disclosed to determine unique audience size via clustered data. An example apparatus includes memory, machine readable instructions, and processor circuitry to at least one of execute or instantiate the machine readable instructions. The example processor circuitry is to form a first matrix identifying matching and non-matching instances of first values of respective demographics of an audience of media and second values of the respective demographics. Also, the processor circuitry is to normalize the first matrix to generate an account sharing adjustment matrix. Additionally, the processor circuitry is to apply the account sharing adjustment matrix to a vector of one or more counts of impressions of the media to correct for one or more members of the audience that share a user account registered with a database proprietor, the one or more counts of the impressions corresponding to the respective demographics.

Methods, apparatus, and articles of manufacture to determine unique audience size via clustered data

Growing community of inventors

Lincoln, NE, United States of America

Jonathan Lee Sullivan