METHOD AND APPARATUS FOR CONTROLLING SCRAPING PRESSURE

    公开(公告)号:US20230376545A1

    公开(公告)日:2023-11-23

    申请号:US18027039

    申请日:2022-03-07

    Inventor: Yu Ding Liang Hong

    CPC classification number: G06F16/951 G06F16/955

    Abstract: The present invention relates to a method and an apparatus for controlling scraping pressure. The method includes: matching a website to be scraped to a pre-configured pressure unit based on a URL of the website to be scraped; determining a first scraping pressure limit and a second scraping pressure limit based on historical scraping data of the pressure unit; and controlling the scraping pressure of the pressure unit within a current scraping period based on the first scraping pressure limit and the second scraping pressure limit.

    OBJECT RECOMMENDATION
    667.
    发明公开

    公开(公告)号:US20230350940A1

    公开(公告)日:2023-11-02

    申请号:US18003116

    申请日:2022-03-16

    Inventor: Lijuan GUAN

    CPC classification number: G06F16/583 G06F16/55 G06V10/44 G06V10/761

    Abstract: The present disclosure provides techniques for recommending objects. The techniques can include: recognizing a retrieval image including a retrieval object from a target user. A retrieval feature can be obtained from the retrieval object, and at least one retrieval feature image can be obtained from a first database based on the retrieval feature. The retrieval image can include a plurality of feature images, and a target object image set can be obtained from a second database based on the at least one retrieval feature image. The target image set includes a plurality of object images to be recommended to the target user.

    CLASSIFICATION MODEL TRAINING METHOD, SEMANTIC CLASSIFICATION METHOD, DEVICE AND MEDIUM

    公开(公告)号:US20230342667A1

    公开(公告)日:2023-10-26

    申请号:US18179266

    申请日:2023-03-06

    CPC classification number: G06N20/00

    Abstract: A semantic classification model training method includes that a sample query template and a label category of at least one category to be predicted in the sample query template are acquired, where the sample query template is constructed according to a sample query statement and a number of the at least one category to be predicted; the sample query template is input to the pre-constructed semantic classification model to obtain a sample semantic category of the at least one category to be predicted; and the semantic classification model is trained according to the sample semantic category and the label category of the at least one category to be predicted.

    VIDEO PROCESSING METHOD, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230298303A1

    公开(公告)日:2023-09-21

    申请号:US17943018

    申请日:2022-09-12

    Inventor: Hui ZHANG

    Abstract: There is provided a method for video processing, an electronic device, and a storage medium, which relates to the technical field of image processing, specifically to technical fields such as digital video and image display, which may be used in intelligent cloud and cloud computing scenarios. A specific implementation solution involves: acquiring ambient brightness data of a display device, the display device adopting a standard dynamic range (SDR) technology; obtaining screen brightness data of the display device according to video brightness data of to-be-displayed high dynamic range (HDR) video, metadata of the HDR video, and the ambient brightness data; wherein the video brightness data is obtained by tone mapping according to the metadata; and controlling, by using the screen brightness data, the display device to display the HDR video.

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