- New York NY, US Matthew VanLandeghem - Schaumburg IL, US Jessica Brinson - Chicago IL, US Sagar Sanghavi - Sunnyvale CA, US Jonathan Sullivan - Hurricane UT, US Billie J. Kline - Inverness FL, US Mala Sivarajan - San Ramon CA, US Shruthi Koundinya Nagaraja - San Jose CA, US Logan Thomas - Sunnyvale CA, US Arushi Kumar - Hyattsville MD, US
An example system disclosed herein includes programmable circuitry to identify audience measurement panelists associated with database proprietor accounts, when a sign- out percentage of the audience measurement panelists is zero, determine a first probability that a second server of a database proprietor associated a first demographic with a logged impression when the logged impression corresponds to a second demographic, when the sign-out percentage of the audience measurement panelists is one hundred, determine a second probability that the second server of the database proprietor associated the first demographic with the logged impression when the logged impression corresponds to the second demographic, determine an adjustment factor based on a weighted combination of the first and second probabilities, and apply the adjustment factor to database proprietor impressions data to reduce a computer-generated error.
Methods And Apparatus To Adjust Demographic Information Of User Accounts To Reflect Primary Users Of The User Accounts
- New York NY, US Jessica Brinson - Chicago IL, US Sagar Sanghavi - Sunnyvale CA, US Lianghua Shao - Duarte CA, US Jonathan Sullivan - Hurricane UT, US Billie J. Kline - Inverness FL, US Mala Sivarajan - San Ramon CA, US Shruthi Koundinya Nagaraja - San Jose CA, US Logan Thomas - Sunnyvale CA, US Arushi Kumar - Hyattsville MD, US
Methods, apparatus, systems, and articles of manufacture are disclosed to adjust demographic information of user accounts to reflect primary users of the user accounts. An example apparatus includes memory, programmable circuitry, and instructions in the memory, the instructions to cause the programmable circuitry to at least access impression data associated with a user account registered with a database proprietor, the user account associated with first demographics at a database of the database proprietor. The example programmable circuitry is also to determine a primary user of the user account based on the impression data and based on second demographics of multiple users of the user account, the multiple users including the primary user. Additionally, the example programmable circuitry is to modify the first demographics associated with the user account based on at least some of the second demographics, the at least some of the second demographics corresponding to the primary user.
Methods And Apparatus To Generate Computer-Trained Machine Learning Models To Correct Computer-Generated Errors In Audience Data
- New York NY, US Jessica Brinson - Chicago IL, US Sagar Sanghavi - Sunnyvale CA, US Lianghua Shao - Duarte CA, US Jonathan Sullivan - Hurricane UT, US Billie J. Kline - Inverness FL, US Mala Sivarajan - San Ramon CA, US Shruthi Koundinya Nagaraja - San Jose CA, US Logan Thomas - Sunnyvale CA, US Arushi Kumar - Hyattsville MD, US
A disclosed example includes aggregating first performance results of computer-generated machine learning models to generate aggregated performance results, the first performance results based on a comparison of audience member demographic data to training results, the training results generated by the computer-generated machine learning models based on at least one of: (a) a composition of a household, (b) a type of first media, (c) a daypart during which the first media was accessed, or (d) a time at which the first media was accessed; selecting at least one of the computer-generated machine learning models based on a comparison of ones of the first performance results to the aggregated performance results; and applying the at least one of the computer-generated machine learning models to correct a computer-generated error in computer-collected audience measurement data, the computer-collected audience measurement data corresponding to accesses to second media.
Methods And Apparatus To Generate Computer-Trained Machine Learning Models To Correct Computer-Generated Errors In Audience Data
- New York NY, US Jessica Brinson - Chicago IL, US Sagar Sanghavi - Sunnyvale CA, US Lianghua Shao - Duarte CA, US Jonathan Sullivan - Hurricane UT, US Billie J. Kline - Inverness FL, US Mala Sivarajan - San Ramon CA, US Shruthi Koundinya Nagaraja - San Jose CA, US Logan Thomas - Sunnyvale CA, US Arushi Kumar - Hyattsville MD, US
International Classification:
G06N 5/04 G06N 20/00 G06F 16/9536
Abstract:
Methods, apparatus, systems and articles of manufacture are disclosed to generate computer-trained machine learning models to correct computer-generated errors in audience data. An example apparatus includes a query selector to select a plurality of features and a range of hyperparameters; a query generator to generate a plurality of machine learning models based on the plurality of features and the range of hyperparameters, and initiate training of the plurality of machine learning models based on demographic data in a privacy-protected cloud environment, the demographic data obtained from database proprietor user accounts corresponding to audience measurement panelists; and a model selector to select a first machine learning model from the plurality of machine learning models.
Methods And Apparatus To Generate Audience Metrics Using Third-Party Privacy-Protected Cloud Environments
- New York NY, US Matthew VanLandeghem - Schaumburg IL, US Jessica Brinson - Chicago IL, US Sagar Sanghavi - Sunnyvale CA, US Jonathan Sullivan - Hurricane UT, US Billie J. Kline - Inverness FL, US Mala Sivarajan - San Ramon CA, US Shruthi Koundinya Nagaraja - San Jose CA, US Logan Thomas - Sunnyvale CA, US Arushi Kumar - Hyattsville MD, US
International Classification:
G06Q 30/02 G06N 5/04 H04L 29/08
Abstract:
Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments. An example apparatus includes a data modifier to obtain a first matrix, the first matrix including first data indicative of entities and embeddings, the entities representative of at least one of search result clicks or videos watched, the embeddings representative of at least one of first classifications of the search result clicks or second classifications of the videos watched, generate a second matrix by reducing the first data in the first matrix to second data that satisfies a size corresponding to an input feature, and store the second matrix in first memory as the input feature, and a model generator to generate a demographic correction model based on the second matrix as the input feature, the demographic correction model to correct demographics corresponding to impressions logged in second memory.
Methods And Apparatus To Adjust Demographic Information Of User Accounts To Reflect Primary Users Of The User Accounts
- New York NY, US Jessica Brinson - Chicago IL, US Sagar Sanghavi - Sunnyvale CA, US Lianghua Shao - Duarte CA, US Jonathan Sullivan - Hurricane UT, US Billie J. Kline - Inverness FL, US Mala Sivarajan - San Ramon CA, US Shruthi Koundinya Nagaraja - San Jose CA, US Logan Thomas - Sunnyvale CA, US Arushi Kumar - Hyattsville MD, US
Methods, apparatus, systems, and articles of manufacture are disclosed to adjust demographic information of user accounts to reflect primary users of the user accounts. An apparatus comprising: memory; and processor circuitry to execute instructions that causes the processor circuitry to at least: determine a first total score for a first panelist associated with a panelist user account based on at least one of a first impression score, a first age score, or a first gender score; determine a second total score for a second panelist associated with the panelist user account based on at least one of a second impression score, a second age score, or a second gender score; and in response to determining that the first total score satisfies a threshold, store demographics of the first panelist for the panelist user account.
Methods And Apparatus To Generate Audience Metrics Using Third-Party Privacy-Protected Cloud Environments
- New York NY, US Matthew VanLandeghem - Schaumburg IL, US Jessica Brinson - Chicago IL, US Sagar Sanghavi - Sunnyvale CA, US Jonathan Sullivan - Hurricane UT, US Billie J. Kline - Inverness FL, US Mala Sivarajan - San Ramon CA, US Shruthi Koundinya Nagaraja - San Jose CA, US Logan Thomas - Sunnyvale CA, US Arushi Kumar - Hyattsville MD, US
International Classification:
G06Q 30/02 G06F 21/62 G06F 16/23
Abstract:
An example apparatus disclosed herein includes a panelist detector to identify audience measurement panelists associated with database proprietor accounts, a sign-in rate calculator to determine an actual sign-in rate of the audience measurement panelists based on first impressions represented in database proprietor impressions data and second impressions represented in panel data, an adjustment factor generator to determine a first audience adjustment factor corresponding to a first sign-in rate and a second audience adjustment factor corresponding to a second sign-in rate, and a weighting controller to generate a first weighted audience adjustment factor and a second weighted audience adjustment factor by weighting the first and second audience adjustment factors by the actual sign-in rate, the adjustment factor generator to determine a signed-out adjustment factor based on the first and second weighted audience adjustment factors.
Methods And Apparatus For Multi-Account Adjustment In Third-Party Privacy-Protected Cloud Environments
- New York NY, US Jessica Brinson - Chicago IL, US Sagar Sanghavi - Sunnyvale CA, US Lianghua Shao - Duarte CA, US Jonathan Sullivan - Hurricane UT, US Billie J. Kline - Inverness FL, US Mala Sivarajan - San Ramon CA, US Shruthi Koundinya Nagaraja - San Jose CA, US Logan Thomas - Sunnyvale CA, US Arushi Kumar - Hyattsville MD, US
International Classification:
G06Q 30/02 H04L 29/08
Abstract:
Methods and apparatus for multi-account adjustment in third-party privacy-protected cloud environments are disclosed herein. A disclosed example apparatus includes memory and processor circuitry to execute computer readable instructions to select a demographic characteristic, the demographic characteristic defining a segment of panelists, select a type of client device, determine a number of the panelists associated with the demographic characteristic and the client device, and define a multi-account adjustment factor for the demographic characteristic and the client device, the factor based on a ratio of a number of panelists to a number of user accounts, the user accounts associated with the determined number of panelists.
Shri Bhagubhai Mafatlal Polytechnic 2000 - 2001
Shah & Anchor Kutchhi Polytechnic 1995 - 2000
St. Francis D'assisi High School 1985 - 1995
Skills:
Solution Architecture It Service Management Requirements Analysis It Strategy Itil Sdlc Program Management Business Analysis Vendor Management Service Delivery Mobile Device Management Technical Leadership Program Coordination Pl/Sql Oracle Project Delivery
Languages:
English Hindi Gujarati Marathi
Certifications:
Cisco Certified Network Associate Ccna Foundation Certificate In It-Service Management (Itil)Tcs Internal