Optimized digital components
    1.
    发明授权

    公开(公告)号:US10997270B2

    公开(公告)日:2021-05-04

    申请号:US16240089

    申请日:2019-01-04

    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.

    OFF-POLICY CONTROL POLICY EVALUATION
    2.
    发明申请

    公开(公告)号:US20200304545A1

    公开(公告)日:2020-09-24

    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.

    OPTIMIZED DIGITAL COMPONENTS
    3.
    发明申请

    公开(公告)号:US20190138566A1

    公开(公告)日:2019-05-09

    申请号:US16240089

    申请日:2019-01-04

    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.

    Optimization of a multi-channel system using a feedback loop

    公开(公告)号:US10057345B2

    公开(公告)日:2018-08-21

    申请号:US15290940

    申请日:2016-10-11

    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.

    Post-install application interaction

    公开(公告)号:US11249741B2

    公开(公告)日:2022-02-15

    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.

    Post-install application interaction

    公开(公告)号:US11003432B2

    公开(公告)日:2021-05-11

    申请号:US16707803

    申请日:2019-12-09

    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.

    Post-install application interaction

    公开(公告)号:US10540158B2

    公开(公告)日:2020-01-21

    申请号:US15642994

    申请日:2017-07-06

    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.

    OPTIMIZATION OF A MULTI-CHANNEL SYSTEM USING A FEEDBACK LOOP

    公开(公告)号:US20190182320A1

    公开(公告)日:2019-06-13

    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.

    OPTIMIZATION OF A MULTI-CHANNEL SYSTEM USING A FEEDBACK LOOP

    公开(公告)号:US20180302472A1

    公开(公告)日:2018-10-18

    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.

    Optimization of a multi-channel system using a feedback loop

    公开(公告)号:US10965747B2

    公开(公告)日:2021-03-30

    申请号:US16797880

    申请日:2020-02-21

    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.

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