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System with network satisfaction degree estimation and early warning function and implementing method thereof

A satisfaction and network technology, applied in transmission systems, digital transmission systems, data exchange networks, etc., can solve problems such as inability to find, lag in satisfaction analysis, and inability to find dissatisfied customers, to achieve the effect of extraction

Inactive Publication Date: 2010-05-19
GUANGZHOU LOYA INT MARKET INFORMATION RES +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, traditional satisfaction analysis is relatively lagging behind. Remedial and remedial measures can only be taken after customers are dissatisfied or even complained. Customers, the promotion work is not targeted, and the real reason for customer dissatisfaction cannot be found, and the promotion work has a certain degree of blindness

Method used

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  • System with network satisfaction degree estimation and early warning function and implementing method thereof
  • System with network satisfaction degree estimation and early warning function and implementing method thereof
  • System with network satisfaction degree estimation and early warning function and implementing method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0041] Such as figure 1 The system with network satisfaction prediction and early warning function shown has an input terminal and an output terminal, and both the input terminal and the output terminal adopt the prior art. The system also includes a data input module 101, a data processing module 102, and a data splitting module 103. The predictive model generation module 104 and the predictive model output module 105, the data input module 101, the data processing module 102, the data splitting module 103, the predictive model generation module 104 and the predictive model output module 105 are connected in sequence, wherein,

[0042] The data input module 101 is used to collect system normal data and customer network satisfaction data input by the input terminal;

[0043] The data processing module 102 is used for receiving the data transmitted by the data input module 101, and merging, cleaning and processing the received data;

[0044]The data splitting module 103 is use...

Embodiment 2

[0069] Such as image 3 The system with network satisfaction prediction and early warning function shown is different from the first embodiment in that the system of this embodiment also includes a prediction model evaluation module 106, which is connected to the data splitting module 103 , receiving the data of the test set, which is used to compare the prediction result of the prediction model generation module 104 with the actual customer network satisfaction actual data obtained during the modeling period, so as to verify the authenticity and reliability of the model.

[0070] The accuracy of the predictive model is evaluated on a previously unused test data set, mainly measured in terms of error rate and lift. The error rate refers to the percentage of records that are misclassified, and a false positive matrix is ​​often used to distinguish false positives from false negatives. The lift refers to the amount of change in the concentration of the specified group when the ...

Embodiment 3

[0077] Such as Figure 5 The shown system with network satisfaction prediction and early warning function is different from the second embodiment in that the system also includes a data analysis module 107, which is connected to the output terminal and is used to receive the output output from the output terminal. data and analyze the data.

[0078] The in-depth analysis of the data output from the output terminal includes sorting and generating a list of dissatisfied customers according to the value of customers and the possibility of dissatisfaction with the network in the future, grouping and describing the characteristics of dissatisfied customers, and utilizing the relationship between customers and network facilities. The mapping relationship maps unsatisfied customers in the future to facilities that may cause customer dissatisfaction, outputs a list of network facilities that need attention, and performs location-based clustering and feature analysis on network facilit...

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Abstract

The present invention discloses a system with the network satisfaction degree predicting and early warning function. The present invention has an input end, an output end, a data input module, a dataprocessing module, a data resolution module, a predicting model generating module and a predicting model output module, and the data input module, the data processing module, the data resolution module, the predicting model generating module and the predicting model output module are connected in sequence. The system can also comprise a predicting model assessment module and a data analysis module. The system can select the unsatisfied customers, and seek the network equipment with which the customers are not satisfied, therefore to realize the prediction function of the network satisfaction degree, to further realize the early warning function of the network satisfaction degree, to analyze the reason causing the customers to be not satisfactory, and therefore to realize the early warningfunction of the network satisfaction degree. At the same time the present invention also discloses a realizing method of the above system.

Description

technical field [0001] The invention relates to a system with network satisfaction prediction and early warning function and its realization method, through which the prediction and early warning function of customer network satisfaction can be realized. Background technique [0002] Usually, customer network satisfaction management is based on the regular or irregular market research results of a conventional third party. The existing satisfaction improvement work can only be carried out after the research, which is relatively lagging behind and the effect is not good; multiple market researches will Affect customers' perception and affect the authenticity and reliability of satisfaction survey results; existing satisfaction surveys only focus on customer evaluations and feelings, and cannot be truly implemented in specific solutions for network optimization and marketing suggestions, and cannot be compared with actual work Correspondingly, marketing intervention and networ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/24H04L12/26
Inventor 白志根李良鹏周康李卓贞张伟程锐斌张巍戚兴国张莉江帆方伟魏建荣王奇王凌
Owner GUANGZHOU LOYA INT MARKET INFORMATION RES