ABSTRACT GENERATION METHOD AND APPARATUS

    公开(公告)号:US20220164090A1

    公开(公告)日:2022-05-26

    申请号:US17667638

    申请日:2022-02-09

    Abstract: An abstract generation method and apparatus are provided, and relate to the field of artificial intelligence. The method includes: obtaining a content object; obtaining N thumbnails based on N pictures; generating M candidate abstracts based on text information and the N thumbnails; obtaining preference information of a user; selecting one of the M candidate abstracts as an abstract of the content object based on the preference information; and sending the abstract to a terminal device. In the method, a possibility that the user taps the abstract can be increased, and a content object delivery effect can be improved.

    DATA PROCESSING METHOD AND APPARATUS

    公开(公告)号:US20230117973A1

    公开(公告)日:2023-04-20

    申请号:US18084267

    申请日:2022-12-19

    Abstract: This application discloses a data processing method, applied to the field of artificial intelligence, including: obtaining to-be-processed data; and processing the to-be-processed data by using a trained neural network, to output a processing result. The neural network includes a feature extraction network and a classification network. The feature extraction network is configured to extract a feature vector expressed by the to-be-processed data in hyperbolic space. The classification network is configured to process the feature vector based on an operation rule of the hyperbolic space, to obtain the processing result. In this application, precision of processing by a model a data set including a tree-like hierarchical structure can be improved, and a quantity of model parameters can be reduced.

    Abstract generation method and apparatus

    公开(公告)号:US12073064B2

    公开(公告)日:2024-08-27

    申请号:US17667638

    申请日:2022-02-09

    CPC classification number: G06F3/04842 G06F3/04817 H04L67/10

    Abstract: An abstract generation method and apparatus are provided, and relate to the field of artificial intelligence. The method includes: obtaining a content object; obtaining N thumbnails based on N pictures; generating M candidate abstracts based on text information and the N thumbnails; obtaining preference information of a user; selecting one of the M candidate abstracts as an abstract of the content object based on the preference information; and sending the abstract to a terminal device. In the method, a possibility that the user taps the abstract can be increased, and a content object delivery effect can be improved.

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