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User group division method and system based on cdr bills

A user group and user technology, applied in the field of communication, can solve problems such as inappropriate, not representative of user social interaction, should not belong to the same user group, etc., and achieve the effect of accurate results

Active Publication Date: 2018-03-23
CHINA UNITED NETWORK COMM GRP CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the label-based user group division method, users are divided according to specific needs or preferences, which itself does not mean that users under the same label have social interactions with each other, and it is not appropriate to divide them into a user group
In the method of dividing based on the user relationship in social networking sites, there is no reasonable measure to reflect the relationship between users and users. For example, a friend of a main user may not be related to other friends of the main user. should not belong to the same user group

Method used

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  • User group division method and system based on cdr bills
  • User group division method and system based on cdr bills
  • User group division method and system based on cdr bills

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Embodiment 1. A method for dividing user groups based on CDR bills, such as figure 1 shown, including:

[0062] S101. Periodically obtain the CDR call list in the predetermined time period, and extract the contact data of each user according to the records in the obtained CDR call list, including: the number of times the user is used as the calling / called user, the number of calls The object, the duration of the call, and the number of times the user receives and sends text messages and the object;

[0063] S102. According to the contact data of each user, calculate the popularity value between the user and each related user of the user, and the related user is a user who has a call or a short message with the user;

[0064] S103. Determine the user of the hotspot center according to the popularity value;

[0065] S104, remove the users who only have conversations or short messages with the hot spot center user respectively among the relevant users of each hot spot ce...

Embodiment 2

[0138] Embodiment 2, a kind of user group classification system based on call detailed disclosure CDR bill, comprising:

[0139] The data extraction module is used to periodically obtain the CDR bills in the predetermined time period, and extract the contact data of each user according to the records in the obtained CDR bills, including: when the user is the calling / called user The number of calls, call recipients, call duration, and the number and recipients of text messages received and sent by the user;

[0140] The heat value calculation module is used to calculate the heat value between the user and each related user of the user according to the contact data of each user, and the related user is a user who has a call or a short message with the user;

[0141] A hotspot center user determination module, configured to determine a hotspot center user according to the heat value;

[0142] The division module is used to remove the relevant users who only have conversations or...

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Abstract

Provided is a CDR call ticket detailed call disclosure based user group division method and system. The method comprises the steps of periodically obtaining a CDR call ticket within a preset time period and extracting contact data of each user according to records of the obtained CDR call ticket, wherein the contact data include conversation times, conversation objects and call duration when the user serves as a calling party / called party and short message receiving and sending times and objects of the user; respectively calculating heat degree values between the user and users correlated with the user according to the contact data of the users, wherein the correlated users are users having conversation or short message relation with the user; determining hot spot center users according the heat degree values; removing the users only having the conversation or short message relation with the hot spot center users in the correlated users of the hot spot center users; respectively dividing the hot spot center users and remaining users after the users are removed into a user group. By means of the CDR call ticket based user group division method, user groups can be more accurately divided.

Description

technical field [0001] The invention relates to the communication field, in particular to a method and system for dividing user groups based on CDR bills. Background technique [0002] With the application and development of big data and mobile Internet, the application research based on user behavior analysis has gradually changed from pure theoretical research to practical application. Especially with the maturity of big data technologies such as Hadoop and MapReduce, the practical application of analyzing and mining user data based on big data and obtaining user behavior is gradually increasing. [0003] Hadoop is a relatively popular big data application in recent years, and it is used to solve the distributed storage system for storing massive data. Its two core functions are HDFS (Hadoop Distributed File System) and MapReduce. Among them, HDFS is the file management tool of the Hadoop system. It is different from the traditional database storage method. Its data is s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/182G06F16/95
Inventor 罗云彬李浩
Owner CHINA UNITED NETWORK COMM GRP CO LTD