A user relationship mining method and system based on mobile communication data

A mobile communication and relationship mining technology, which is applied in data processing applications, instruments, character and pattern recognition, etc., can solve the problem that the number of target customers is far apart, and achieve the effect of enhancing the classification effect and improving the accuracy rate

Inactive Publication Date: 2019-05-31
USTC SINOVATE SOFTWARE
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  • Application Information

AI Technical Summary

Problems solved by technology

If you do not consider building a mining model, only based on the discrimination rules of physical home users and business h

Method used

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  • A user relationship mining method and system based on mobile communication data
  • A user relationship mining method and system based on mobile communication data
  • A user relationship mining method and system based on mobile communication data

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Experimental program
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Embodiment 1

[0038] The invention provides a method for mining user relationship based on mobile communication data, which specifically includes the following steps:

[0039] S1, collect the full amount of bill information, through data cleaning processing, model design, build the local network and different network classification model;

[0040] S2, set the set of all users of bill information as P, the set of users including family relationship as A, the set of users including colleague relationship as B, and the set of users with other relationships as C;

[0041] S3, according to the classification model, determine the family relationship A included in the bill information set P;

[0042] S4, according to empirical rules, output the colleague relationship B and other relationship C contained in the P-A set of this network;

[0043] As a further optimization of the above scheme, the construction of the classification model includes raw data preprocessing, training set user relationship...

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Abstract

According to the user relationship mining method and system based on the mobile communication data. The method includes: excluding the non-mobile phone number by collecting the original data ticket information; extracting user pairs with family relations and user pairs without family relations from historical users, and calculating related indexes according to the call ticket data and the positioninformation data to construct a training data and test data set width table; and establishing a supervised classification model by adopting a lightgbm algorithm taking the decision tree as a base classifier. According to the method, the supervised machine learning method is adopted, the relation between the users is accurately identified, the family relation of the users in the home network is identified, the family relation of the users in different networks can be identified, the homing relation and the friend relation of the home network are identified in an auxiliary mode, and good accuracy is achieved on the identification result.

Description

technical field [0001] The invention relates to the technical field of computer network information, in particular to a user relationship mining method and system based on mobile communication data. Background technique [0002] The domestic telecom business competition has already begun, and the home and group user markets will be the latest market for major operators to compete for and new revenue growth points to explore. How to accurately identify home users among a large number of user groups, analyze the business behavior characteristics of home users, and carry out effective marketing for them are currently topics that need to be resolved. If you don’t consider building a mining model, only based on the discrimination rules of physical home users and business home users, it is far from the number of target customers for home brands and home product lines that operators need to deploy. Therefore, it is imminent to apply data mining technology to assist in solving the ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06Q50/30
Inventor 毕佳佳周源姚向东
Owner USTC SINOVATE SOFTWARE
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