Telecommunications Science ›› 2016, Vol. 32 ›› Issue (2): 106-111.doi: 10.3969/j.issn.1000-0801.2016.02.015

• research and development • Previous Articles     Next Articles

SMS seed customers mining model and algorithm based on content analysis

Zhichao HUANG1,Juncai TAO1,Shengbao GAO2   

  1. 1 Computing Center,Information Engineering College,Nanchang University,Nanchang 330029,China
    2 Jiangxi Branch of China Telecom Co.,Ltd.,Nanchang 330029,China
  • Published:2017-02-03
  • Supported by:
    The National Natural Science Foundation of China

Abstract:

In order to mining SMS(short message service)seed customers from massive text messages,control the spread of the seed messages path and improve the efficiency of its spread,a SMS seed customers mining model and algorithm was proposed,which was based on content analysis. First of all,by analyzing the interest,randomness and one-way characteristics of customer forwarding messages,the tree model of customer forwarding messages were constructed. Secondly,the optimal seed customers mining model was generated by definition and application of comprehensive evaluation function,and SMS seed customers mining was realized based on the concept of close group. Finally,by analyzing the actual data from telecom operators,the effectivity of the model and algorithm was verified.

Key words: SMS seed customer, content analysis, mining model, mining algorithm, close group

No Suggested Reading articles found!