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Business optimization method and cloud computing center based on big data positioning and artificial intelligence

An artificial intelligence and business optimization technology, which is applied in the fields of big data positioning and artificial intelligence, can solve the problems of low accuracy in the information push process and does not consider the relationship between user intent and user portrait business, and achieve information push based on big data positioning process, the effect of accurate information push process based on big data positioning

Inactive Publication Date: 2021-07-02
厦门立马耀网络科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The inventors of the present application found that in related technologies, the business relationship between user intentions and user portraits is not considered when data mining is performed, resulting in low accuracy in the information push process based on big data positioning

Method used

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  • Business optimization method and cloud computing center based on big data positioning and artificial intelligence
  • Business optimization method and cloud computing center based on big data positioning and artificial intelligence
  • Business optimization method and cloud computing center based on big data positioning and artificial intelligence

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Embodiment Construction

[0078] The present application will be specifically described below with reference to the specification below, and the specific method of operation in the method embodiment can also be applied to an embodiment or a system embodiment.

[0079] figure 1 It is a schematic diagram of a business optimization system 10 based on large data positioning and manually intelligent service optimization system 10 provided by an embodiment of the present application. Business optimization system 10 based on large data positioning and manual intelligence can include a cloud computing center 100 and a traffic service terminal 200 that communicates with the cloud computing center 100. figure 1 The displayed large data positioning and manually intelligent service optimization system 10 is only a feasible example, in other possible embodiments, the business optimization system 10 based on data positioning and manual intelligence can only include only figure 1 Some of the components shown or may also...

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Abstract

The embodiment of the present application provides a business optimization method based on big data positioning and artificial intelligence and a cloud computing center, which extracts the target user intention characteristics of the business service link and the user portrait feature information of the business service link through the business relationship, and integrates the business The business flow label information of the service link and the user portrait feature information of the business service link extract rich business relationship feature information of the business service link, providing data support for accurate information push based on big data positioning; in addition, through The target user intention characteristics of the business service link, the business service link is updated with the business push configuration, and the business push configuration optimization information of the business service link is obtained, so as to realize the accurate information push process based on big data positioning.

Description

Technical field [0001] The present application covers large data positioning and artificial intelligence technology, in particular, involving a business optimization method based on large data positioning and artificial intelligence and cloud computing center. Background technique [0002] In the prior art, through data mining data for users' large data service positioning data to analyze the preferences or intentions of the user, it is effective for the user's information, and the service platform is improved, the business optimization and / or business promotion will be promoted. To an important role. [0003] After the application inventor student studied, in the relevant technique, when data mining, the service relationship of the user intention and the user portrait is not considered, resulting in a low precision of the information push process based on large data positioning. Inventive content [0004] In order to overcome the above-mentioned shortcomings in the prior art,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/9535G06F16/35G06F16/36G06F40/284G06K9/62
CPCG06F16/9535G06F16/355G06F16/367G06F40/284G06F18/22
Inventor 崔海燕
Owner 厦门立马耀网络科技有限公司
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