Cloud private line customer service application scene identification method and device and computer readable storage medium

Abstract

The invention relates to a cloud private line customer service application scene identification method and device and a computer readable storage medium. The cloud private line customer service application scene identification method comprises the following steps: a data acquisition step: acquiring object data for service application scene identification; a feature addition step for adding a feature relating to traffic and a feature relating to time to the object data acquired in the data acquisition step; a feature engineering processing step; performing feature group selection on the object data obtained by adding features related to traffic and features related to time; and a strategy selection step: selecting a model for business application scene identification based on the feature group selected in the feature engineering processing step.

Description

technical field [0001] The present disclosure generally relates to a method, device, and computer-readable storage medium for identifying cloud private line customer service application scenarios, and more particularly to a method, device, and computer for identifying cloud private line customer business application scenarios in the field of network operations and big data technologies. Readable storage medium. Background technique [0002] With the development of social science and technology, people's business application scenarios have become rich and colorful, especially the arrival of the 5G era has accelerated the pace of diversification of business application scenarios. When customers lease circuits, operators will provide various types of circuits. For example, customers will lease VPN (Virtual Private Network: virtual private network), IPRAN (IPRadio Access Network: IP Radio Access Network) and other circuits according to their needs. Different types of circuits d...

AI Technical Summary

Problems solved by technology

For example, in Patent Document 1, a method and device for identifying instant messaging business operation behaviors are described to solve the problems of low recognition accuracy and low efficiency of the existing instant messaging business operation behavior recognition methods. The method includes: collecting The binary code stream generated by the instant messaging service operation of the user terminal; when it is determined that the specific feature field is included in the binary code stream, extracting the content of the specific feature field from the binary code stream; according to the extracted content of the specific feature field Determine the operation behavior of the instant messaging service according to the correspondence between the content of the preset feature field and the operation behavior

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