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

IPC: G06F21/60 ,  H04L9/32

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：US20240232913A1

公开(公告)日：2024-07-11

申请号：US17925486

申请日：2022-06-17

Applicant: Google LLC

Inventor： Matthew Thompson Walter ,  Michael Joseph Valenty ,  Sundardas Samuel Dorai-Raj ,  Moshe Lichman ,  Manish Agrawal ,  Joseph Kelly ,  Michael Andrew Wallace ,  Stephen Paul Ganem

IPC: G06Q30/0201 ,  G06Q30/0601

CPC classification number: G06Q30/0201 ,  G06Q30/0633

Abstract: Techniques for generating a report for a website are presented herein. A method can include accessing, by one or more computing devices, a plurality of unidentified events. Each event in the plurality of unidentified events can be associated with one or more properties. Additionally, the method can calculate, using a machine-learned prediction model, a number of pseudo users associated with the plurality of unidentified events based on an event-to-user-ratio and a total number of unidentified events. Moreover, the method can include assigning a first event from the plurality of unidentified events to a first pseudo user based on the one or more properties of the first event. Furthermore, the method can include generating the report for the website. The report includes information derived from the first event being assigned to the first pseudo user.

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.