POST-INSTALL APPLICATION INTERACTION

    公开(公告)号:US20210089289A1

    公开(公告)日:2021-03-25

    申请号:US17115513

    申请日:2020-12-08

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. Data specifying a post-install activity is received from a provider of an application. An opportunity is identified to provide third-party content to a user. A likelihood is determined that the user will perform the specified post-install activity based on one or more attributes of the user and attributes of users that have previously performed the specified post-install activity in the application. A selection value is adjusted for third-party content that identifies the application based on the determined likelihood, wherein the selection value increases as the likelihood increases. The third-party content identifying the application is selected based on the adjusted selection value. The third-party content identifying the application is distributed to a client device of the user.

    Content search engine
    12.
    发明授权

    公开(公告)号:US10747825B2

    公开(公告)日:2020-08-18

    申请号:US15444279

    申请日:2017-02-27

    Applicant: Google LLC

    Abstract: Methods, systems, apparatus, including computer programs encoded on a computer storage medium, for determining whether to execute a query based on a predicted computerized rendering period The method may include actions of receiving a query, determining a set of one or more features based on the query, generating a query vector, providing the query vector to a machine learning model, receiving first data, based on the output of the machine learning model, that is indicative of whether the computerized rendering period associated with the query is likely to satisfy the predetermined threshold, determining based on the first data that the computerized rendering period available for displaying a set of one or more candidate content items that are responsive to the query is not likely to satisfy the predetermined threshold, and determining to not use a search engine to execute the received query.

    Optimization of a multi-channel system using a feedback loop

    公开(公告)号:US10250681B2

    公开(公告)日:2019-04-02

    申请号:US16015873

    申请日:2018-06-22

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial maximum selection value for distribution over each different online channel. An observed distribution amount required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed distribution amount received through the feedback loop, a realized distribution amount is determined for the multiple different distributions across the multiple different online channels. The maximum selection value is adjusted based on a difference between the realized distribution amount and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted maximum selection value.

    Off-policy control policy evaluation

    公开(公告)号:US11477243B2

    公开(公告)日:2022-10-18

    申请号:US16827596

    申请日:2020-03-23

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for off-policy evaluation of a control policy. One of the methods includes obtaining policy data specifying a control policy for controlling a source agent interacting with a source environment to perform a particular task; obtaining a validation data set generated from interactions of a target agent in a target environment; determining a performance estimate that represents an estimate of a performance of the control policy in controlling the target agent to perform the particular task in the target environment; and determining, based on the performance estimate, whether to deploy the control policy for controlling the target agent to perform the particular task in the target environment.

    OPTIMIZATION OF A MULTI-CHANNEL SYSTEM USING A FEEDBACK LOOP

    公开(公告)号:US20220286505A1

    公开(公告)日:2022-09-08

    申请号:US17825228

    申请日:2022-05-26

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial selection value for distribution over each different online channel. An observed user actions required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed user actions received through the feedback loop, a predicted user action rate is determined for the multiple different distributions across the multiple different online channels. The selection value is adjusted based on a difference between the predicted user action rate and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted selection value.

    OPTIMIZATION OF A MULTI-CHANNEL SYSTEM USING A FEEDBACK LOOP

    公开(公告)号:US20210092186A1

    公开(公告)日:2021-03-25

    申请号:US17115520

    申请日:2020-12-08

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial selection value for distribution over each different online channel. An observed user actions required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed user actions received through the feedback loop, a predicted user action rate is determined for the multiple different distributions across the multiple different online channels. The selection value is adjusted based on a difference between the predicted user action rate and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted selection value.

    Optimization of a multi-channel system using a feedback loop

    公开(公告)号:US10609142B2

    公开(公告)日:2020-03-31

    申请号:US16281538

    申请日:2019-02-21

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a system that controls content distribution using a feedback loop. Content is distributed over multiple different online channels using a same initial selection value for distribution over each different online channel. An observed user actions required for distribution of the content over the multiple different online channels is received through a feedback loop and for multiple different distributions of the content. Based on the observed user actions received through the feedback loop, a predicted user action rate is determined for the multiple different distributions across the multiple different online channels. The selection value is adjusted based on a difference between the predicted user action rate and a reference distribution amount specified by a provider of the content. The content is distributed over the multiple different online channels using the adjusted selection value.

    Optimized digital components
    19.
    发明授权

    公开(公告)号:US10210278B2

    公开(公告)日:2019-02-19

    申请号:US15250247

    申请日:2016-08-29

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing digital components. In one aspect, the system includes a digital component server that identifies a digital component to be presented in an electronic document. The system also includes a digital component distribution server that interacts with the digital component server to determine that the electronic document includes a particular item that identifies a same entity as the digital component that was identified to be presented in the electronic document. The system combines at least a portion of the digital component with content from the particular item to form an optimized digital component. The optimized digital component is integrated into the electronic document rather than presenting either of the particular item or the digital component individually.

Patent Agency Ranking