Privacy management across multiple devices

    公开(公告)号:US10114978B2

    公开(公告)日:2018-10-30

    申请号:US15838107

    申请日:2017-12-11

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a method for managing privacy rights of a user related to the delivery of content. The method comprises providing a global privacy management interface that presents a selection tool for enabling a user to review privacy options and interests. The privacy options and interests include controls for presenting a list of identifiers that are associated with the user and interests associated with those identifiers. Each identifier is associated with a requesting source having been used by the user to access content. The interface enables de-selection of individual interests on a per-identifier or global basis. The method further comprises determining, in a server system, content to deliver to the user in view of the privacy selections.

    Evaluating robot learning
    4.
    发明授权

    公开(公告)号:US12165021B2

    公开(公告)日:2024-12-10

    申请号:US17307507

    申请日:2021-05-04

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for evaluating robot learning. In some implementations, a system receives classification examples from a plurality of remote devices over a communication network. The classification examples can include (i) a data representation generated by a remote device based on sensor data captured by the remote device and (ii) a classification corresponding to the data representation. The system assigns quality scores to the classification examples based on a level of similarity of the data representations with other data representations. The system selects a subset of the classification examples based on the quality scores assigned to the classification examples. The system trains a machine learning model using the selected subset of the classification examples.

    Constraining ad service based on app content

    公开(公告)号:US10062092B1

    公开(公告)日:2018-08-28

    申请号:US14790821

    申请日:2015-07-02

    Applicant: Google LLC

    CPC classification number: G06Q30/0267 G06Q30/0251 H04L67/02 H04L67/10

    Abstract: Application content information is obtained from a mobile device application server. An ad server log includes at least application identifiers for applications that have requested advertisements from an ad network. If identifying information included in the application content information is the same as an application identifier found in the ad server log, the application content information is analyzed to determine whether the corresponding mobile device application is appropriate to be served an advertisement, based on predetermined content criteria. An application registry includes a database of mobile device applications that are registered in the ad network. The application registry record for a mobile device application is updated to indicate the determined appropriateness of the mobile device application corresponding to the analyzed application content information.

    Sharing learned information among robots

    公开(公告)号:US12265910B2

    公开(公告)日:2025-04-01

    申请号:US17930874

    申请日:2022-09-09

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for sharing learned information among robots. In some implementations, a robot obtains sensor data indicating characteristics of an object. The robot determines a classification for the object and generates an embedding for the object using a machine learning model stored by the robot. The robot stores the generated embedding and data indicating the classification for the object. The robot sends the generated embedding and the data indicating the classification to a server system. The robot receives, from the server system, an embedding generated by a second robot and a corresponding classification. The robot stores the received embedding and the corresponding classification in the local cache of the robot. The robot may then use the information in the cache to identify objects.

    Providing content to a user across multiple devices

    公开(公告)号:USRE49262E1

    公开(公告)日:2022-10-25

    申请号:US16847081

    申请日:2020-04-13

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, and including a method for providing content. The method comprises receiving a first login request from a first device used by a user, the request being associated with a first anonymous identifier associated with the first device, and determining a user tag for the user, that does not include any personally identifiable information associated with the user. The method further comprises receiving a second login request from a second different device used by the user, the request being associated with a second different anonymous identifier associated with the second different device, and storing an association between the user tag, the first anonymous identifier and the second different anonymous identifier. The method further comprises receiving a request for content from either the first or second different device and providing content in response to the request using the association.

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