Business processing method based on big data and artificial intelligence and blockchain financial platform

Abstract

The embodiment of the invention provides a business processing method based on big data and artificial intelligence and a blockchain financial platform. The method comprises the following steps: extracting entity relationship characteristics of each business keyword list in an entity relationship identification mode; determining a form operation track of a business service scene corresponding to each business keyword label based on an entity business item level, wherein each business processing flow is converted into an effective pushing classification basis; marking a form operation track corresponding to the business service scene to which the business keyword belongs according to each business keyword; determining a form tracking popularity table item corresponding to each business service scene by adopting an artificial intelligence model; generating recommendation portrait features of an information recommendation process corresponding to the business request information, and pushing the corresponding request recommendation information to the digital financial service terminal, wherein request response recommendation can be carried out by effectively combining the specific type of the business service scene according to the business request information, and the classification precision of information pushing is improved.

Description

technical field [0001] The present invention relates to the technical field of big data and artificial intelligence, in particular, to a business processing method based on big data and artificial intelligence and a blockchain financial platform. Background technique [0002] The digital financial service terminals installed at various convenient service points can provide users with convenient business push information query services, so that users can learn various information about digital financial services and related service usage in a timely manner. [0003] However, the inventors of the present application found that in the current business request process of digital financial service terminals, for different types of business service scenarios (such as blockchain payment services, digital currency services, etc.), it is impossible to effectively use the business request information Combined with the specific types of business service scenarios to make request respon...

AI Technical Summary

Problems solved by technology

[0003] However, the inventors of the present application found that in the current business request process of digital financial service terminals, for different types of business service scenarios (such as blockchain payment services, digital currency services, etc.), it is impossible to effectively use the business request information Combining the specific types of business service scenarios to make request response recommendations, resulting in low classification accuracy of information push

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