Design And Realization Of Accurate Selling System Based On User Behavior Analysis

With the rapid development of Mobile Internet, the new Internet services continutetoimpact the traditional ISP services, in this situation, China Telecom proposed shift from“call operation” to “traffic operation”and “be the leader of smart pipes”, but how to “be theleader of smart pipes” and do the “traffic operation” good, it needs to know the habit andpreferences of the mobile Internet users, to treat every people individually due to their habit.Thispaperis mainly about how to obtain user preferences and accurate selling.This paper starts from the following aspects including business requirements, system design,data collection, data analysis&data mining and selling tests.It introduced the method of use DPIsystem to capture user’s Internet using records, and obtain user’s preferences from WEB viewrecords with spider technology. And introduced the dimensions of customer portraits and thedetails of data mining based on customer portraits. This paper also introduced the real sellingtests on the results of data mining, and made comparative assessment of selling results.This paper’s innovations are: it proposed an exactly way to improve the selling success ratewith user behavior analysis, whichfilled the disconnect between user behavior analysis andselling. It also proposed the detailed steps of create user portraits and the specific method of datamining based on the massive Internet data, this is basically referential. In addition, the system ofthis paper is self-corrected, it can correct the analysis modules with user feedbacks.The subject of this paper comes from the project “Research on optimization strategies formobile Internet traffic operation support system” and “Field experiments ofthe key technology inintegrated platform for user behavior analysis”. The proposed system has been deployed inTelecom JiangSu, and used in daily operations.