Google Inc.

Xiaojing Huang

James Robert Koehler

Yueqing Wang

Yunting Sun

Yuxue Jin

David Chan

Luis Gonzalez Perez

Conor Sontag

Shi Zhong

Systems, methods, and computer-readable storage media that may be used to generate a Bayesian hierarchical model. One method includes generating a plurality of geographic regions by grouping one or more geographic sub-regions into each of the plurality of geographic regions. The method further includes receiving data for the geographic sub-regions, the data including responses, content inputs, content types, and location identifiers. The method further includes generating geo-level data from the received data by grouping the responses and content inputs of the received data based on a correlation of the location identifiers of the received data to the plurality of geographic regions. The method includes fitting a Bayesian hierarchical model based on at least the geo-level data, the content types, and the geographic regions and determining a content input mix for the content types for each geographic region based on the Bayesian hierarchical model and a content input constraint.

Systems and methods for generating a geo-level hierarchical Bayesian model

Growing community of inventors

Mountain View, CA, United States of America

Xiaojing Huang