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

IPC: G06F21/60 ,  G06Q30/02 ,  H04L9/32

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.