US 12,248,957 B2
Geographic dataset preparation and analytics systems
Aiyou Chen, Palo Alto, CA (US); and Timothy Chun-Wai Au, San Mateo, CA (US)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Aug. 30, 2022, as Appl. No. 17/899,202.
Application 17/899,202 is a continuation in part of application No. 16/834,843, filed on Mar. 30, 2020, granted, now 11,514,274.
Prior Publication US 2023/0036170 A1, Feb. 2, 2023
Int. Cl. G06Q 30/0204 (2023.01); G06Q 30/0201 (2023.01)
CPC G06Q 30/0205 (2013.01) [G06Q 30/0201 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for preparing datasets for geo experiments, the method comprising:
accessing, by the one or more computing devices, a dataset of a plurality of geographic pairs, the dataset of the plurality of geographic pairs comprising input data, response data, and location identifiers associated with each geographic region, wherein the response data is a result of an action associated with the input data, and wherein a first geographic pair of the dataset of the plurality of geographic pairs comprises a first geographic region and a second geographic region;
calculating, by the one or more computing devices, a first outcome estimate based on a difference in response data and a difference in input data for the first geographic pair;
calculating, by the one or more computing devices, a plurality of experimental uncertainty estimates associated with the plurality of geographic pairs during an experimental time interval, the plurality of experimental uncertainty estimates being calculated based on a plurality of different simulation for the plurality of geographic pairs during the experimental time interval;
accessing, by the one or more computing devices, historical data associated with the plurality of geographic pairs, the historical data being associated with a first time interval, the first time interval occurring prior to the experimental time interval, and wherein the historical data comprises of a historical response difference between the plurality of geographic pairs during the first time interval;
determining a beta value associated with the historical response difference between the plurality of geographic pairs during the first time interval, the beta value being determined to reduce a sum of the plurality of experimental uncertainty estimates of associated with the plurality of geographic pairs;
removing, based on the first outcome estimate and the beta value, the first geographic pair from the plurality of geographic pairs to generate a first subset of geographic pairs; and
providing, by the one or more computing devices, the first subset of geographic pairs.