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公开(公告)号:US20250023781A1
公开(公告)日:2025-01-16
申请号:US18748176
申请日:2024-06-20
Inventor: Chao WANG , Yunyang ZHAO , Yan GAO
IPC: H04L41/0853 , H04L9/40 , H04L41/22
Abstract: A content delivery network-oriented method of displaying an information is provided, which may be applied to a field of Internet technology, and in particular to a field of content delivery network technology. The method includes: acquiring a business configuration information in response to a detection that a configuration control on a display page is triggered, where the business configuration information includes a business domain name and a configuration parameter; acquiring a task information in response to an operation for an abnormal resource information being detected, where the abnormal resource information is determined according to the business domain name and the configuration parameter; and displaying a processing result for the abnormal resource information according to the task information.
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公开(公告)号:US20230401484A1
公开(公告)日:2023-12-14
申请号:US18076711
申请日:2022-12-07
Inventor: Chao WANG , Xiangyue Lin , Yang Liang , En Shi , Shuangshuang QIAO
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: Provided are a data processing method and apparatus, an electronic device, and a storage medium. The data processing method includes acquiring a target directed acyclic graph (DAG) corresponding to the service processing logic of a model self-taught learning service, where the service processing logic includes execution logic for acquiring service data generated by an online released service model, execution logic for training a to-be-trained service model based on the service data, and execution logic for releasing the trained service model online; and performing self-taught learning on the to-be-trained service model according to the target DAG.
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公开(公告)号:US20230122093A1
公开(公告)日:2023-04-20
申请号:US17992041
申请日:2022-11-22
Inventor: Dazhong SHEN , Chuan QIN , Chao WANG , Zheng DONG , Hengshu ZHU , Hui XIONG
IPC: G06F40/30 , G06F40/279 , G06F40/117 , G06N20/00
Abstract: A method for determining a text topic includes: after a word sequence corresponding to a text to be processed and a number of spaced words in the text to be processed between each two words in the word sequence are determined, a graph structure corresponding to the text to be processed may be determined based on the number of spaced words between each two words in the text to be processed, a topic distribution corresponding to the text may be determined based on the word sequence and the graph structure, a topic corresponding to the text may be determined based on the topic distribution.
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公开(公告)号:US20210191616A1
公开(公告)日:2021-06-24
申请号:US17020967
申请日:2020-09-15
Abstract: The present application discloses a magnetic disk management method, an apparatus and an electronic device by providing an engine layer including a plurality of space files and an encapsulation layer including a file directory tree of a space file structure; where the engine layer responds to a data management operation performed for a target space file of the file directory tree output by the engine layer, and a target magnetic disk space corresponding to the target space files is determined through the address association list of the encapsulation layer, and data management is performed on the data in the target magnetic disk space. Thereby, different data can be isolated by different space files when entering through the engine layer, which ensures that security issues such as leakage of the data in the magnetic disk will not occur.
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公开(公告)号:US20220415195A1
公开(公告)日:2022-12-29
申请号:US17899831
申请日:2022-08-31
Inventor: Chao WANG , Hengshu ZHU , Peng WANG , Xin SONG
Abstract: A method for training a course recommendation model, a method for course recommendation, and an apparatus, which relate to a field of big data and deep learning in a field of artificial intelligence technology, and can be applied to recommendation scenarios. The training method includes: obtaining a sample data set, where the sample data set includes user learning data, the user learning data includes record data and ability label data, the record data is used for representing a historical learning process of a sample user, and the ability label data is used for representing a learning ability level of the sample user, and training and generating the course recommendation model according to the user learning data, where the course recommendation model is used for recommending a course for a user, the technical effect of improving the reliability and accuracy of course recommendation is achieved.
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