Patents by Inventor Conor Sontag

Conor Sontag has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Systems and methods for generating a geo-level hierarchical Bayesian model
    Patent number: 10706191
    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.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: July 7, 2020
    Assignee: Google LLC
    Inventors: Yunting Sun, Yuxue Jin, James Koehler, Xiaojing Huang, David Chan, Yueqing Wang, Conor Sontag, Shi Zhong, Luis Gonzalez Perez
  • SYSTEMS AND METHODS FOR GENERATING A GEO-LEVEL HIERARCHICAL BAYESIAN MODEL
    Publication number: 20190065638
    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.
    Type: Application
    Filed: August 31, 2017
    Publication date: February 28, 2019
    Applicant: Google Inc.
    Inventors: Yunting Sun, Yuxue Jin, James Koehler, Xiaojing Huang, David Chan, Yueqing Wang, Conor Sontag, Shi Zhong, Luis Gonzalez Perez