AUTOMATED USER LANGUAGE DETECTION FOR CONTENT SELECTION

    公开(公告)号:US20250094514A1

    公开(公告)日:2025-03-20

    申请号:US18961708

    申请日:2024-11-27

    Applicant: GOOGLE LLC

    Abstract: Systems and methods of determining languages of users in networked environments are provided herein. A data processing system having one or more processors coupled with memory can receive, from a client device, a request for content identifying an account profile. The data processing system can receive a request for content identifying an account profile and including one or more keywords; determine a first set of candidate languages from a plurality of languages; determine a second set of candidate languages based on one or more information resources associated with the one or more keywords; calculate confidence scores for at least some of the second set of candidate languages; and update the first set of candidate languages based on the confidence scores for the at least some of the second set of candidate languages.

    Automated user language detection for content selection

    公开(公告)号:US12182213B2

    公开(公告)日:2024-12-31

    申请号:US17623707

    申请日:2020-09-14

    Applicant: GOOGLE LLC

    Abstract: Systems and methods of determining languages of users in networked environments are provided herein. A data processing system having one or more processors coupled with memory can receive, from a client device, a request for content identifying an account profile. The data processing system can determine, using a log record identifying activities of the account profile, a first set of candidate languages. The data processing system can identify a plurality of information resources to be presented in accordance with a ranking. The data processing system can determine a second set of candidate languages from the plurality of languages based on content in each information resource and a corresponding ranking of each information resource. The data processing system can identify a set of languages included in both the first set of candidate languages and the second set of candidate languages.

    AUTOMATED USER LANGUAGE DETECTION FOR CONTENT SELECTION

    公开(公告)号:US20220350851A1

    公开(公告)日:2022-11-03

    申请号:US17623707

    申请日:2020-09-14

    Applicant: GOOGLE LLC

    Abstract: Systems and methods of determining languages of users in networked environments are provided herein. A data processing system having one or more processors coupled with memory can receive, from a client device, a request for content identifying an account profile. The data processing system can determine, using a log record identifying activities of the account profile, a first set of candidate languages. The data processing system can identify a plurality of information resources to be presented in accordance with a ranking. The data processing system can a second set of candidate languages from the plurality of languages based on content in each information resource and a corresponding ranking of each information resource. The data processing system can identify a set of languages included in both the first set of candidate languages and the second set of candidate languages.

    Processing non-uniform datasets
    4.
    发明授权

    公开(公告)号:US10664509B1

    公开(公告)日:2020-05-26

    申请号:US15464840

    申请日:2017-03-21

    Applicant: Google LLC

    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for processing non-uniform datasets. In one aspect, a method includes receiving multiple different datasets that have non-uniform labeling conventions and that are not organized in a hierarchical structure, organizing the multiple different datasets that are not organized in a hierarchical structure, into a predefined hierarchical taxonomy, including, analyzing text included in the dataset, assigning the dataset to one or more categories within the predefined hierarchical taxonomy based on the analysis of the textual content and one or more other characteristics of the dataset including a number of identification entries included in the dataset, selecting content for display within the content interface at the user device using one or more of the multiple different datasets that were organized into the predefined hierarchical taxonomy, providing, through the user frontend, the selected content for presentation at the user device.

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