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

An artificial intelligence and business optimization technology, applied in the field of big data positioning and artificial intelligence, can solve the problems of low accuracy in the information push process, failure to consider the relationship between user intention and user portrait business, etc.

Inactive Publication Date: 2021-03-09
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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  • Service optimization method based on big data positioning and artificial intelligence and cloud computing center
  • Service optimization method based on big data positioning and artificial intelligence and cloud computing center
  • Service optimization method based on big data positioning and artificial intelligence and cloud computing center

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Embodiment Construction

[0078] The present application will be described in detail below with reference to the accompanying drawings, and the specific operation methods in the method embodiments can also be applied to the device embodiments or system embodiments.

[0079] figure 1 It is an interactive schematic diagram of the business optimization system 10 based on big data positioning and artificial intelligence provided by an embodiment of the present application. The business optimization system 10 based on big data positioning and artificial intelligence may include a cloud computing center 100 and a business service terminal 200 communicatively connected to the cloud computing center 100 . figure 1 The business optimization system 10 based on big data positioning and artificial intelligence shown is only a feasible example, and in other feasible embodiments, the business optimization system 10 based on big data positioning and artificial intelligence may also only include figure 1 Some of the ...

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Abstract

The embodiment of the invention provides a business optimization method based on big data positioning and artificial intelligence, and a cloud computing center, and the method comprises the steps: extracting the target user intention features of a business service link and the user portrait feature information of the business service link through a business relation; rich business relationship feature information of the business service link being extracted by integrating the business flow label information of the business service link and the user portrait feature information of the businessservice link, and data support being provided for accurate information pushing based on big data positioning; and besides, through the target user intention characteristics of the business service link, business push configuration updating is performed on the business service link, and business push configuration optimization information of the business service link is obtained, so that an accurate information push process based on big data positioning is realized.

Description

technical field [0001] This application relates to the technical field of big data positioning and artificial intelligence, specifically, a business optimization method based on big data positioning and artificial intelligence and a cloud computing center. Background technique [0002] In the prior art, data mining is performed on the user's big data service positioning data to analyze the user's preferences or intentions, so as to effectively recommend information for the user, which plays a role in business improvement, business optimization and / or business promotion of the service platform. to an important role. [0003] The inventors of the present application found that, in related technologies, the business relationship between user intentions and user portraits is not considered during data mining, resulting in low accuracy in the information push process based on big data positioning. Contents of the invention [0004] In order to at least overcome the above-menti...

Claims

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Application Information

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Patent Type & Authority Applications(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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