Method and apparatus for recognizing a low-quality news resource, computer device and readable medium

    公开(公告)号:US10769133B2

    公开(公告)日:2020-09-08

    申请号:US16013476

    申请日:2018-06-20

    Abstract: The present disclosure provides a method and apparatus for recognizing a low-quality news resource, a computer device and a readable medium. The method comprises: obtaining information of a to-be-recognized news resource; determining whether the to-be-recognized new resource is a low-quality news resource, according to a pre-built low-quality news information repository and the information of the to-be-recognized news resource. The technical solutions of the present disclosure may be employed to automatically recognize whether the to-be-recognized news resource is the low-quality resource through the information of the to-be-recognized news resource such as the text information and/or pictures, and can overcome technical problems in the prior art such as time-consuming and arduous manual-check manner and a low recognition efficiency due to leakage in checking. Through the above technical solutions, present embodiments may achieve automatic check of the to-be-recognized news resource and thereby substantially shorten the time spent in recognizing the low-quality news resource.

    Method and apparatus for pushing information based on artificial intelligence

    公开(公告)号:US11349680B2

    公开(公告)日:2022-05-31

    申请号:US16054812

    申请日:2018-08-03

    Abstract: Embodiments of the disclosure disclose a method and apparatus for pushing information based on artificial intelligence. A specific embodiment of the method includes: mining, in response to a new match occurring, real-time match data of the match and real-time associated data of the match; generating structured data using the real-time match data; generating a to-be-recommended item using the real-time associated data and an offline item; determining whether a current time point is a recommendation node based on the structured data and real-time match state information acquired from a state manager; generating a to-be-pushed message based on the to-be-recommended item, the real-time match state information, and basic match information acquired from the state manager, and updating a to-be-pushed message record in the state manager, if the current time point is the recommendation node; and pushing the to-be-pushed message. The embodiment has improved the quality and timeliness of pushing a to-be-pushed message.

    Summary generation method and apparatus

    公开(公告)号:US11687715B2

    公开(公告)日:2023-06-27

    申请号:US16890685

    申请日:2020-06-02

    CPC classification number: G06F40/289 G06F40/258

    Abstract: Embodiments of the application disclose a summary generation method and apparatus. A specific embodiment of the method comprises: acquiring a target article including a headline and a body of the article; determining whether a question is included in the headline; determining, in the body of the article, an information-satisfied-paragraph including an answer to the question, in response to determining that the question is included in the headline; and generating a summary of the target article based on the determined information-satisfied-paragraph. The above embodiment may generate a summary that directly satisfies the users' demand for information.

    Method and apparatus for recognizing a low-quality article based on artificial intelligence, device and medium

    公开(公告)号:US11645554B2

    公开(公告)日:2023-05-09

    申请号:US16013162

    申请日:2018-06-20

    CPC classification number: G06N5/04 G06N7/01 G06N20/00 G06N20/20 Y02D10/00

    Abstract: A method and apparatus for recognizing a low-quality article based on artificial intelligence, a device and a medium. The method comprises: obtaining a user feedback behavior feature of a to-be-recognized article in a news-recommending system; according to the user feedback behavior feature of the to-be-recognized article and a predetermined low-quality article recognition model, recognizing whether the to-be-recognized article is a low-quality article. Automatically recognizing whether the to-be-recognized article is a low-quality article according to the user feedback behavior feature of the to-be-recognized article and the predetermined low-quality article recognition model, thereby overcoming the technical problem about consumption of time and effects and low recognition efficiency in manually checking whether the to-be-recognized article is a low-quality article in the prior art, not only substantially saving the time spent in recognizing whether the to-be-recognized article is the low-quality article, saving manpower consumed in recognition, improving the recognition efficiency of the low-quality article.

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