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公开(公告)号：US20230072357A1
公开(公告)日：2023-03-09
申请号：US17984982
申请日：2022-11-10
发明人： Matthew VanLandeghem , Jessica Brinson , Sagar Sanghavi , Lianghua Shao , Jonathan Sullivan , Billie J. Kline , Mala Sivarajan , Shruthi Koundinya Nagaraja , Logan Thomas , Arushi Kumar
IPC分类号： G06Q30/02 , G06N5/04 , H04L67/303 , G06N20/00 , G06F16/2457 , H04L67/306 , G06F16/9536 , G06F16/23 , G06F21/62 , G06F16/28 , G06F16/215 , H04L67/53 , H04L67/50
摘要： 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.
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公开(公告)号：US11348126B2
公开(公告)日：2022-05-31
申请号：US16230680
申请日：2018-12-21
IPC分类号： G06Q30/02 , G06F16/174 , G06N20/00 , H04N21/258 , G06F16/48
摘要： Example methods and apparatus disclosed herein include campaign mapping for total audience measurement. An example apparatus includes a machine learning engine to predict sets of estimated duplication factors that represent duplicated media exposure across different possible combinations of media platforms for respective ones of a plurality of reference media campaigns, apply an input set of total exposure metrics associated with respective individual ones of the media platforms for a query media campaign to predict a first set of estimated duplication factors for the different possible combinations of media platforms for the query media campaign; identify a first one of the set of reference media campaigns to represent the query media campaign; and estimate a second set of estimated duplication factors for the query media campaign based on the set of estimated duplication factors for the first one of the set of reference media campaigns and the input set of total exposure metrics for the query media campaign.
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公开(公告)号：US20210357973A1
公开(公告)日：2021-11-18
申请号：US17317461
申请日：2021-05-11
发明人： Matthew VanLandeghem , Jessica Brinson , Sagar Sanghavi , Lianghua Shao , Jonathan Sullivan , Billie J. Kline , Mala Sivarajan , Shruthi Koundinya Nagaraja , Logan Thomas , Arushi Kumar
摘要： 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.
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公开(公告)号：US20230075196A1
公开(公告)日：2023-03-09
申请号：US17984986
申请日：2022-11-10
发明人： Matthew VanLandeghem , Jessica Brinson , Sagar Sanghavi , Lianghua Shao , Jonathan Sullivan , Billie J. Kline , Mala Sivarajan , Shruthi Koundinya Nagaraja , Logan Thomas , Arushi Kumar
IPC分类号： G06Q30/02 , G06N5/04 , H04L67/303 , G06N20/00 , G06F16/2457 , H04L67/306 , G06F16/9536 , G06F16/23 , G06F21/62 , G06F16/28 , G06F16/215 , H04L67/53 , H04L67/50
摘要： 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.
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公开(公告)号：US20210357972A1
公开(公告)日：2021-11-18
申请号：US17317404
申请日：2021-05-11
发明人： Matthew VanLandeghem , Billie J. Kline , Jessica Brinson , Jonathan Sullivan , Lianghua Shao , Logan Thomas , Mala Sivarajan , Sagar Sanghavi , Shruthi Koundinya Nagaraja , Arushi Kumar
IPC分类号： G06Q30/02
摘要： Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments. In some examples, an apparatus comprising a model generator to generate an individualization model based on truth data indicating first true users exposed to media via first panelist client devices, a model analyzer to produce user probabilities for second panelist client devices based on the individualization model, the user probabilities indicating likelihoods of second true users being exposed to media via the second panelist client devices, a data modifier to: select a user probability from the user probabilities based on an impression, the impression associated with at least one feature and a selected device from the second panelist client devices, the user probability associated with the at least one feature and the selected device, the user probability indicating a likelihood of a set of second true users being exposed to media corresponding to the impression via the selected device, and assign the impression to the set of second true users.
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公开(公告)号：US20210357958A1
公开(公告)日：2021-11-18
申请号：US17318517
申请日：2021-05-12
发明人： Lianghua Shao , Matthew VanLandeghem , Jessica Brinson , Sagar Sanghavi , Jonathan Sullivan , Billie J. Kline , Mala Sivarajan , Shruthi Koundinya Nagaraja , Logan Thomas , Arushi Kumar
摘要： 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.
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公开(公告)号：US20210357788A1
公开(公告)日：2021-11-18
申请号：US17316168
申请日：2021-05-10
发明人： Matthew VanLandeghem , Jessica Brinson , Sagar Sanghavi , Lianghua Shao , Jonathan Sullivan , Billie J. Kline , Mala Sivarajan , Shruthi Koundinya Nagaraja , Logan Thomas , Arushi Kumar
IPC分类号： G06N5/04 , G06N20/00 , G06F16/9536
摘要： 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.
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公开(公告)号：US11783353B2
公开(公告)日：2023-10-10
申请号：US17318420
申请日：2021-05-12
发明人： Matthew VanLandeghem , Lianghua Shao , Jessica Brinson , Sagar Sanghavi , Jonathan Sullivan , Billie J. Kline , Mala Sivarajan , Shruthi Koundinya Nagaraja , Logan Thomas , Arushi Kumar
IPC分类号： G06Q30/02 , G06Q30/0201 , G06Q30/0242 , G06N5/04 , G06Q30/0204 , H04L67/303 , G06N20/00 , G06F16/2457 , H04L67/306 , G06F16/9536 , G06F16/23 , G06F21/62 , G06Q30/0202 , G06F16/28 , G06F16/215 , H04L67/53 , H04L67/50
CPC分类号： G06Q30/0201 , G06F16/215 , G06F16/2365 , G06F16/24578 , G06F16/285 , G06F16/9536 , G06F21/6263 , G06N5/04 , G06N20/00 , G06Q30/0202 , G06Q30/0204 , G06Q30/0205 , G06Q30/0245 , G06Q30/0246 , H04L67/303 , H04L67/306 , H04L67/53 , H04L67/535
摘要： An example apparatus disclosed herein includes a data input interface to access different sets of initial adjustment factors, the initial adjustment factors generated to correct at least one of misattribution or non-coverage of media impressions logged by a database proprietor, a grouping controller to identify a first set of the initial adjustment factors as a set of donor adjustment factors based on (a) first audience members associated with the set of donor adjustment factors satisfying a first threshold and (b) first impressions associated with the first audience members satisfying a second threshold, and identify a second set of the initial adjustment factors as a set of recipient adjustment factors, and an imputation factor generator to generate imputation factors to correct ones of the recipient adjustment factors based on ones of the donor adjustment factors.
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公开(公告)号：US20230083206A1
公开(公告)日：2023-03-16
申请号：US17984961
申请日：2022-11-10
发明人： Matthew VanLandeghem , Lianghua Shao , Jessica Brinson , Sagar Sanghavi , Jonathan Sullivan , Billie J. Kline , Mala Sivarajan , Shruthi Koundinya Nagaraja , Logan Thomas , Arushi Kumar
IPC分类号： G06Q30/02 , G06N5/04 , H04L67/303 , G06N20/00 , G06F16/2457 , H04L67/306 , G06F16/9536 , G06F16/23 , G06F21/62 , G06F16/28 , G06F16/215 , H04L67/53 , H04L67/50
摘要： An example system disclosed herein includes programmable circuitry to identify donor adjustment factors and recipient adjustment factors used for correction of media impressions logged by a database proprietor, the donor adjustment factors including first donor adjustment factors associated with a first geographic region and second donor adjustment factors associated with a second geographic region, determine a first reduced donor factor set corresponding to ones of the first donor adjustment factors that satisfy a threshold, determine a second reduced donor factor set corresponding to ones of the second donor adjustment factors that satisfy the threshold, and generate imputation factors based on an aggregation of retained ones of the donor adjustment factors, the retained ones of the donor adjustment factors selected based on the first reduced donor factor set and the second reduced donor factor set, the imputation factors to reduce error in the correction.
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10.发明申请公开(公告)号：US20230071645A1
公开(公告)日：2023-03-09
申请号：US17984978
申请日：2022-11-10
发明人： Matthew VanLandeghem , Billie J. Kline , Jessica Brinson , Jonathan Sullivan , Lianghua Shao , Logan Thomas , Mala Sivarajan , Sagar Sanghavi , Shruthi Koundinya Nagaraja , Arushi Kumar
IPC分类号： G06Q30/02 , G06N5/04 , H04L67/303 , G06N20/00 , G06F16/2457 , H04L67/306 , G06F16/9536 , G06F16/23 , G06F21/62 , G06F16/28 , G06F16/215 , H04L67/53 , H04L67/50
摘要： Methods and apparatus to generate audience metrics using third-party privacy-protected cloud environments. In some examples, an apparatus comprising processor circuitry to execute the instructions to at least generate an individualization model based on truth data indicating first true users exposed to media via first panelist client devices, produce user probabilities for second panelist client devices based on the individualization model, the user probabilities indicating likelihoods of second true users being exposed to media via the second panelist client devices, select a user probability from the user probabilities based on an impression, and assign the impression to the set of second true users.
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