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User communication circle relation identification method based on communication frequency and communication index

A relationship identification and communication circle technology, applied in customer relationship, data processing application, business and other directions, can solve problems such as user complaints, difficulty in attracting users, and low return on marketing costs, and achieve poor targeting and marketing success rate. improved effect

Active Publication Date: 2017-11-24
NANJING TANDAO INFORMATION TECH CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Purpose of the invention: In order to overcome the deficiencies in the prior art, the traditional single-customer large-scale mass marketing method is difficult to attract users, the marketing cost return rate is low, and it is easy to cause defects such as user complaints. The present invention provides a method based on Recognition method of user association circle relationship based on association frequency and association index

Method used

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  • User communication circle relation identification method based on communication frequency and communication index
  • User communication circle relation identification method based on communication frequency and communication index
  • User communication circle relation identification method based on communication frequency and communication index

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Effect test

Embodiment 1

[0051] This embodiment proposes a method for identifying the relationship between the user's communication circle based on the frequency of interaction and the interaction index. figure 1 , the method includes the following steps: user association circle relationship based on association frequency and association index

[0052] A: Calculate the interaction frequency and interaction index between two users;

[0053] B: According to the interaction frequency, interaction index and contact period preference, establish the corresponding interaction circle model of the user, the interaction circle model includes the work circle model, the life circle model and the comprehensive circle model;

[0054] C: Establish a user social network model based on the user's corresponding communication circle information;

[0055] D: Build a family relationship model based on the user's life circle model.

[0056] Among them, the frequency of communication of the user is calculated, and the fre...

Embodiment 2

[0083] Based on Embodiment 1, this embodiment proposes a method for identifying user association circles based on association frequency and association index. The basic idea of ​​this embodiment is to sort out voice bills and short and multimedia message bill information, and calculate user pairwise Inter-connection frequency, interaction index;

[0084] Establish work circle, life circle and comprehensive circle models according to communication frequency, communication index and contact time preference;

[0085] Calculate the common contacts between users based on the social circle, calculate the similarity index between users, and establish a social network;

[0086] Based on the information of the same customer, same family package, and same account, establish the backbone members of the family, and calculate the similarity between members and users, and find high-similarity home / different network users to be included in the same family relationship customers.

[0087] In...

Embodiment 3

[0108] Based on the method of embodiment two, the data obtained by using the method of the present invention to operator China Telecom Zhongtianyi Family Network is as follows:

[0109] circle marketing

[0110] The marketing success rate of Qinqin.com has increased significantly: from the end of July 2013, the total number of SMS orders sent by Qinqin.com was 6,347,971, and the marketing success rate was only 0.4%;

[0111] On July 29, 2013, build a life circle through social networks, select leaders, and dispatch 9255 orders. The number of users who participated in the family network under the same customer was 522, and the marketing success rate was 5.64%. role;

[0112] On August 12, 2013, by narrowing down the group of calls, find out the users who are concentrated in two-two calls, dispatch 203,350 orders, 2624 users participated, and the success rate is 1.3%;

[0113] In mid-August 2013, the data of "Living Circle", "Working Circle" and "Comprehensive Circle" were res...

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Abstract

The invention discloses a user communication circle relation identification method based on a communication frequency and a communication index, belonging to the technical field of operator communication circle reputation and home package recommendation marketing. The method comprises a step of calculating a communication frequency and a communication index between every two users, a step of establishing a communication circle model corresponding to the users according to the communication frequency, the communication index and a contact time period, wherein the communication circle model comprises a work circle model, a life cycle model and a comprehensive circle model, a step of establishing a user social network model based on communication circle information corresponding to the users, and a step of constructing a home relation model based on the user life circle model. According to the method, problems of poor marketing pertinence, a low cost-benefit ratio and easily caused user complaints of an existing single-client group sending mode are effectively solved, according to the method, and the rate of marketing success is significantly improved through the identification and classification of user social network relations and home relations.

Description

technical field [0001] The invention belongs to the technical field of operator social circle word-of-mouth and family package recommendation marketing, and in particular relates to a user social circle relationship identification method based on social frequency and social index. Background technique [0002] In the Internet era, the traditional single-customer large-scale mass marketing method has been difficult to attract users, the return on marketing costs is low, and it is easy to cause user complaints. [0003] In the prior art, since the marketing recommendation is mainly for a single customer, there are the following defects in the marketing recommendation process: [0004] 1. Single-customer group marketing can easily arouse user resentment and cause user complaints. [0005] Second, do not understand the characteristics of customer groups, and cannot grasp the interest points of the group. [0006] 3. If you don’t know the family structure, you can’t recommend f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/00G06Q50/00
CPCG06Q30/01G06Q50/01
Inventor 胡东牛桂东
Owner NANJING TANDAO INFORMATION TECH CORP
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