TEXT RECOMMENDATION METHOD AND APPARATUS, MODEL TRAINING METHOD AND APPARATUS, AND READABLE STORAGE MEDIUM

    公开(公告)号:US20240362259A1

    公开(公告)日:2024-10-31

    申请号:US18291902

    申请日:2021-09-18

    CPC classification number: G06F16/335

    Abstract: Provided in the present disclosure are a text recommendation method and apparatus, a model training method and apparatus, and a readable storage medium. The text recommendation method includes: acquiring text retrieval information from a user; when it is determined that there is historical text retrieval information for the user, determining text information of each text in a text set retrieved by using the text retrieval information; performing embedded representation on the text information of each text based on a self-attention model, and determining a text embedding vector of each text; inputting the text embedding vector of each text into a trained graph convolutional network model, to obtain the probability of interaction between the user and each text in the text set; and screening out, from the text set, target text which meets a preset interaction probability, and recommending the target text to the user.

    METHOD, APPARATUS, COMPUTING DEVICE AND COMPUTER-READABLE STORAGE MEDIUM FOR IDENTIFYING SIGNAL

    公开(公告)号:US20220318548A1

    公开(公告)日:2022-10-06

    申请号:US17519277

    申请日:2021-11-04

    Abstract: It is disclosed a method, an apparatus, a computing device, and a computer-readable storage medium for identifying a signal. The method includes demodulating a modulated signal to generate a transmission signal, transmitting the transmission signal, receiving an echo signal generated by a reflection of the transmission signal, demodulating the echo signal to obtain demodulated information, identifying the demodulated information by using a target network model to obtain an identification result of the echo signal, and outputting the identification result to a graphical user interface for display.

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