DATA PROCESSING METHOD
    1.
    发明公开

    公开(公告)号:US20230195849A1

    公开(公告)日:2023-06-22

    申请号:US18169806

    申请日:2023-02-15

    CPC classification number: G06F18/22 G06F16/23

    Abstract: A data processing method is provided. The method includes: obtaining a sample data set for modeling; selecting a first sample data from the sample data set; generating, in response to determining that a similarity between a first semantic vector corresponding to a first feature dimension and a second semantic vector corresponding, to a second feature dimension meets a preset condition, a second sample data based on the first sample data; and adding the second sample data to the sample data set.

    Real-Time Prediction Method, Electronic Device And Non-transitory Computer-Readable Storage Medium

    公开(公告)号:US20230359976A1

    公开(公告)日:2023-11-09

    申请号:US17973776

    申请日:2022-10-26

    CPC classification number: G06Q10/067 G06Q10/04

    Abstract: Provided are a real-time prediction method, an electronic device and a non-transitory computer-readable storage medium, which relate to the field of data processing, and in particular to the field of artificial intelligence. The specific implementation solution is acquiring a user request based on a business scenario; acquiring, from a plurality of pre-stored original features, at least one target original feature corresponding to the user identifier; determining, from a plurality of pre-trained models, a target model corresponding to the scenario identifier, and determining, from a plurality of feature engineering services, a target feature engineering service corresponding to the target model; performing real-time feature processing on the at least one target original feature by means of the target feature engineering service, so as to obtain a target model entry feature; and inputting the target model entry feature into the target model.

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