-
公开(公告)号：US11514274B2
公开(公告)日：2022-11-29
申请号：US16834843
申请日：2020-03-30
Applicant: Google LLC
Inventor： Aiyou Chen , Timothy C. Au , Nicolas Remy , Kevin Benac
Abstract: Systems, methods and computer-readable storage media utilized to prepare datasets for geo experiments. One method includes receiving one or more input parameters. The method further includes extracting, from the data, training data. The method further includes calculating a difference in input data and a difference in response data of the training data. The method further includes determining a first plurality of geographic pairs. The method further includes extracting, from the data, evaluation data. The method further includes separating each geographic pair of the first plurality of geographic pairs into a treatment region or a control region for a plurality of simulations of a plurality of different simulation subsets for each of a plurality of different subsets of geographic pairs. The method further includes calculating a plurality of uncertainty estimates. The method further includes selecting a first subset of geographic pairs and providing the selected subset of geographic pairs.
-
公开(公告)号：US11017099B2
公开(公告)日：2021-05-25
申请号：US16341827
申请日：2017-12-14
Applicant: Google LLC
Inventor： Nicolas Remy , Andrew Smith , Ruixue Fan , Joseph Kelly , James Robert Koehler , Xiaojing Wang
Abstract: The present disclosure provides systems and methods for entropy balanced population measurement. Entropy balancing is a statistical technique for preprocessing data to achieve covariate balance. Weighting coefficients may be dynamically adjusted to satisfy balance conditions or constraints to adjust for inequalities in representation, thereby improving covariate moments. Using entropy balancing and linear regression analysis with panel content exposure and results data provides a mechanism to estimate the effects of multiple exposure vectors simultaneously, including instances where panelists are exposed to a vector multiple times. Data may be obfuscated or anonymized for preprocessing via a double-encrypted intersection-based extraction mechanism, allowing both measurement systems and panel providers to retain confidential information.
-
公开(公告)号：US20190236287A1
公开(公告)日：2019-08-01
申请号：US16341827
申请日：2017-12-14
Applicant: Google LLC
Inventor： Nicolas Remy , Andrew Smith , Ruixue Fan , Joseph Kelly
CPC classification number: G06F21/602 , G06Q30/0254 , H04L9/3242
Abstract: The present disclosure provides systems and methods for entropy balanced population measurement. Entropy balancing is a statistical technique for preprocessing data to achieve covariate balance. Weighting coefficients may be dynamically adjusted to satisfy balance conditions or constraints to adjust for inequalities in representation, thereby improving covariate moments. Using entropy balancing and linear regression analysis with panel content exposure and results data provides a mechanism to estimate the effects of multiple exposure vectors simultaneously, including instances where panelists are exposed to a vector multiple times. Data may be obfuscated or anonymized for preprocessing via a double-encrypted intersection-based extraction mechanism, allowing both measurement systems and panel providers to retain confidential information.
-
公开(公告)号：US20210312221A1
公开(公告)日：2021-10-07
申请号：US16834843
申请日：2020-03-30
Applicant: Google LLC
Inventor： Aiyou Chen , Timothy C. Au , Nicolas Remy , Kevin Benac
Abstract: Systems, methods and computer-readable storage media utilized to prepare datasets for geo experiments. One method includes receiving one or more input parameters. The method further includes extracting, from the data, training data. The method further includes calculating a difference in input data and a difference in response data of the training data. The method further includes determining a first plurality of geographic pairs. The method further includes extracting, from the data, evaluation data. The method further includes separating each geographic pair of the first plurality of geographic pairs into a treatment region or a control region for a plurality of simulations of a plurality of different simulation subsets for each of a plurality of different subsets of geographic pairs. The method further includes calculating a plurality of uncertainty estimates. The method further includes selecting a first subset of geographic pairs and providing the selected subset of geographic pairs.
-
-
-
Search Results
4
records
(took 0.009 seconds)
