Big data optimization method and server applied to digital cloud service

According to the big data optimization method applied to the digital cloud service and the server provided by the invention, when final consultation response text big data is determined based on a consultation response feature analysis strategy, consultation response feature extraction and mining do...

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Bibliographic Details
Main Authors XUE NIANCI, MA YUEYANG
Format Patent
LanguageChinese
English
Published 02.05.2023
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Summary:According to the big data optimization method applied to the digital cloud service and the server provided by the invention, when final consultation response text big data is determined based on a consultation response feature analysis strategy, consultation response feature extraction and mining do not need to be performed repeatedly, so that the efficiency of the final consultation response text big data can be improved, and the user experience is improved. And unnecessary operation load waste is reduced. Furthermore, by performing demand analysis on the final consultation response text big data, a software service optimization demand can be accurately obtained, and optimization updating of the software service is realized in combination with a preset resource use constraint condition. In view of the fact that the resource use constraint condition is used for realizing overload protection of the target service platform system, the problem of system overload can be considered when the target service platform
Bibliography:Application Number: CN202211670599