Indirect transmission of session data

    公开(公告)号:US12137147B2

    公开(公告)日:2024-11-05

    申请号:US18452375

    申请日:2023-08-18

    Applicant: Google LLC

    Abstract: The systems and methods described herein can enable the indirect transmission of session data between different domains. The system can pass the session data through a hashing function so that the data from a given domain remains private and secure to the specific domain. The system can generate clusters of associated domains for a given client device that the system can use to maintain a session between the client device and the domain.

    Indirect transmission of session data

    公开(公告)号:US10666741B1

    公开(公告)日:2020-05-26

    申请号:US15961763

    申请日:2018-04-24

    Applicant: Google LLC

    Abstract: The systems and methods described herein can enable the indirect transmission of session data between different domains. The system can pass the session data through a hashing function so that the data from a given domain remains private and secure to the specific domain. The system can generate clusters of associated domains for a given client device that the system can use to maintain a session between the client device and the domain.

    Indirect Transmission of Session Data

    公开(公告)号:US20230057236A1

    公开(公告)日:2023-02-23

    申请号:US17979547

    申请日:2022-11-02

    Applicant: Google LLC

    Abstract: The systems and methods described herein can enable the indirect transmission of session data between different domains. The system can pass the session data through a hashing function so that the data from a given domain remains private and secure to the specific domain. The system can generate clusters of associated domains for a given client device that the system can use to maintain a session between the client device and the domain.

    INDIRECT TRANSMISSION OF SESSION DATA

    公开(公告)号:US20210352152A1

    公开(公告)日:2021-11-11

    申请号:US17373477

    申请日:2021-07-12

    Applicant: Google LLC

    Abstract: The systems and methods described herein can enable the indirect transmission of session data between different domains. The system can pass the session data through a hashing function so that the data from a given domain remains private and secure to the specific domain. The system can generate clusters of associated domains for a given client device that the system can use to maintain a session between the client device and the domain.

    Indirect transmission of session data

    公开(公告)号:US11082501B2

    公开(公告)日:2021-08-03

    申请号:US16855952

    申请日:2020-04-22

    Applicant: Google LLC

    Abstract: The systems and methods described herein can enable the indirect transmission of session data between different domains. The system can pass the session data through a hashing function so that the data from a given domain remains private and secure to the specific domain. The system can generate clusters of associated domains for a given client device that the system can use to maintain a session between the client device and the domain.

    Indirect transmission of session data

    公开(公告)号:US11496580B2

    公开(公告)日:2022-11-08

    申请号:US17373477

    申请日:2021-07-12

    Applicant: Google LLC

    Abstract: The systems and methods described herein can enable the indirect transmission of session data between different domains. The system can pass the session data through a hashing function so that the data from a given domain remains private and secure to the specific domain. The system can generate clusters of associated domains for a given client device that the system can use to maintain a session between the client device and the domain.

    Dynamically generating pre-aggregated datasets

    公开(公告)号:US10216805B1

    公开(公告)日:2019-02-26

    申请号:US15234840

    申请日:2016-08-11

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for dynamically generating and configuring pre-aggregated datasets optimized for responding to particular types of data requests made against a large sub-optimal multidimensional dataset are disclosed. A dynamic aggregator monitors the query types and response latencies associated with queries made against the large multidimensional dataset. The dynamic aggregator defines pre-aggregated datasets based on the types of queries received from users and calculates a respective benefit score for each pre-aggregated dataset. The benefit score of each pre-aggregated dataset can be based on the recorded latencies and query count for the pre-aggregated dataset. The dynamic aggregator can decide whether to generate and/or maintain particular pre-aggregated datasets based on the current values of the benefit scores associated with the particular pre-aggregated datasets.

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