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公开(公告)号：US10706191B2
公开(公告)日：2020-07-07
申请号：US15693326
申请日：2017-08-31
Applicant: Google Inc.
Inventor： Yunting Sun , Yuxue Jin , James Koehler , Xiaojing Huang , David Chan , Yueqing Wang , Conor Sontag , Shi Zhong , Luis Gonzalez Perez
Abstract: 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.
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公开(公告)号：US20190065638A1
公开(公告)日：2019-02-28
申请号：US15693326
申请日：2017-08-31
Applicant: Google Inc.
Inventor： Yunting Sun , Yuxue Jin , James Koehler , Xiaojing Huang , David Chan , Yueqing Wang , Conor Sontag , Shi Zhong , Luis Gonzalez Perez
Abstract: 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.
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