User strategy adjustment method and device and electronic equipment

Abstract

The invention relates to a user strategy adjustment method and device, electronic equipment and a computer readable medium. The method comprises the steps of obtaining user information of a user meeting a preset condition, wherein the user information comprises basic information, behavior information and far-end information; generating a plurality of local feature parameters of the user based on the behavior information; generating a plurality of remote feature parameters of the user based on the remote information; comparing the plurality of local feature parameters, the plurality of far-end feature parameters and a plurality of preset strategies to determine a target strategy; and adjusting the current user strategy of the user based on the target strategy. According to the user strategy adjustment method and device, the electronic equipment and the computer readable medium, the customer churn rate can be reduced, the dynamic enthusiasm of customers can be increased, the user satisfaction degree can be improved, the labor cost can be reduced, and the server resource utilization rate can be improved.

Description

technical field [0001] The present disclosure relates to the field of computer information processing, in particular, to a user policy adjustment method, device, electronic equipment and computer readable medium. Background technique [0002] With the rapid development of technologies such as the Internet, the Internet of Things, and sensors, a large amount of data has been generated in production and life, and people hope to mine valuable information from these data. However, many of the data show the characteristics of a large number of samples and high feature dimensions, which undoubtedly increases the difficulty of data mining. In response to the above problems, researchers often delete irrelevant and redundant feature information in the data through feature selection methods, thereby reducing feature dimensions, noise interference, and algorithm complexity, making the model simple and easy to understand. Feature selection has become a research hotspot in data mining, ...

AI Technical Summary

Problems solved by technology

However, for customers with expired quotas, users need to initiate the credit granting process again, and the churn rate in the middle is very high, so how to effectively manage customers with expired quotas is also a major issue in increasing the balance scale

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