Customer satisfaction prediction method based on feature interpolation processing and electronic equipment

Abstract

The invention relates to a customer satisfaction prediction method based on feature interpolation processing and electronic equipment, and belongs to the technical field of information processing. According to the method, user feature information of a user cluster corresponding to customer feature information is obtained from a preset user cluster, the number of missing features corresponding to the customer feature information is obtained through calculation, and when the number of the missing features is larger than a threshold value, the customer feature information is sent to the user cluster. And performing feature interpolation processing on the customer feature information, and inputting the customer feature information into a preset customer satisfaction prediction model to obtain a customer satisfaction prediction result. By setting the user cluster and calculating the number of missing features, the customer feature information with serious information missing can be quickly found, so that feature interpolation processing is performed on the customer feature information in a targeted manner, the customer satisfaction prediction efficiency and the effectiveness of the customer feature information for customer satisfaction prediction are ensured, and the customer satisfaction prediction efficiency is improved. And the accuracy and reliability of customer satisfaction prediction are improved.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a method for predicting customer satisfaction based on feature interpolation processing and electronic equipment. Background technique [0002] With the construction of the 5G network, business offloading is promoted to the 5G network, and the 4G network is gradually changing from the capacity layer to the coverage layer. While the network is evolving rapidly, for telecom companies, improving customer satisfaction is a key task. Therefore, it is necessary to establish The customer satisfaction prediction model realizes accurate prediction and forward-looking optimization of derogatory users, so that it can deeply analyze mobile users' perception of subdivided links such as Internet access and voice, and the reasons for their dissatisfaction, and assist in related research on user network indicators, user attributes, etc. Comprehensive portraits, mining users' perce...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the defects that it is difficult to effectively obtain customer characteristic information in practical applications, and the lack of customer characteristic information is so serious that it is impossible to effectively predict customer satisfaction, the present invention provides a customer satisfaction prediction method based on feature interpolation processing and electronic equipment

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