METHOD AND APPARATUS FOR TRAINING SEARCH RECOMMENDATION MODEL, AND METHOD AND APPARATUS FOR SORTING SEARCH RESULTS

    公开(公告)号:US20230088171A1

    公开(公告)日:2023-03-23

    申请号:US17989719

    申请日:2022-11-18

    Abstract: A method and an apparatus for training a search recommendation model, and a method and an apparatus for sorting search results are provided. The training method includes: obtaining a training sample set including a sample user behavior group sequence and a masked sample user behavior group sequence; and using the training sample set as input data, and training a search recommendation model, to obtain a trained search recommendation model, where a target of the training is to obtain the object of the response operation of the sample user after the mask processing, the search recommendation model is used to predict a label of a candidate recommendation object in search results corresponding to a query field when a target user inputs the query field, and the label is used to indicate a probability that the target user performs a response operation on the candidate recommendation object.

    COMMAND EXECUTION METHOD, APPARATUS, AND DEVICE

    公开(公告)号:US20220214894A1

    公开(公告)日:2022-07-07

    申请号:US17701339

    申请日:2022-03-22

    Abstract: Embodiments of the present disclosure disclose a command execution method and apparatus, a terminal, and a server related speech recognition and natural language processing. In the command execution method, during an interaction between a terminal and a user, a server configured to execute a user command or the terminal may store slots and GUI information corresponding to the slots. When the filling information of the slots configured for the user command is missing, the server configured to execute the user command may obtain the missing filling information of the slots from the stored GUI information, to avoid multiple interactions between the user and the terminal. The interaction between the user and the terminal is made more intelligent, thus improving command execution efficiency.

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