MACHINE LEARNING SYSTEMS ARCHITECTURES FOR RANKING

    公开(公告)号:US20250124038A1

    公开(公告)日:2025-04-17

    申请号:US18925438

    申请日:2024-10-24

    Applicant: Bytedance Inc.

    Abstract: Computing systems, computing apparatuses, computing methods, and computer program products are disclosed for machine learning ranking. An example computing method includes receiving a search query and determining a plurality of machine learning model execution engines based on the search query and a plurality of search result types. The example computing method further includes generating a plurality of subsets of search results based on the search query and the plurality of machine learning model execution engines. The example computing method further includes generating a set of search results comprising at least one search result from each of the plurality of subsets of search results.

    Hybrid data integration platform
    4.
    发明授权

    公开(公告)号:US12271353B2

    公开(公告)日:2025-04-08

    申请号:US17809606

    申请日:2022-06-29

    Applicant: Bytedance Inc.

    Abstract: In general, embodiments of the present invention provide systems and computer readable media for implementing a single data integration platform that supports multiple data access interfaces to a single corpus of stored dynamic data collected from multiple data sources. In embodiments, the data integration platform includes a record tables layer that stores a group of data records and supports a CRUD interface for accessing the data records; a resolution mapping layer that stores a set of entities generated by a many-to-one mapping of data records to entities using entity resolution; and an entities layer that stores resolved entities which may be accessed via either a search interface based on search criteria or a hybrid search interface that supports “get via record id” queries.

    Facilitating online transactions
    7.
    发明授权

    公开(公告)号:US12254500B2

    公开(公告)日:2025-03-18

    申请号:US18502356

    申请日:2023-11-06

    Applicant: Bytedance Inc.

    Abstract: Merchandise content is aggregated from numerous merchant sources and presented on computing devices of individual users. Users are able to purchase select individual merchandise items by performing a simplified action, such as a screen tap on a touchscreen device. When the user performs the action, a series of actions are performed programmatically and/or automatically on behalf of the user to initiate and complete the transaction for the selected merchandise item from the merchant source.

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