运营商基于信令大数据的关系嗅探方案  

Solution to Relationship Sniffing Based on Signaling Big Data for Operators

作　　者：韦茂源 李蔚[1] 卢沛杨[1] 吕景楠 刘世伟[1] 

机构地区：[1]中国移动通信集团广东有限公司东莞分公司,广东东莞523000

出　　处：《移动通信》2017年第2期92-96,共5页Mobile Communications

摘　　要：为了解决运营商缺乏识别客户关系的难题,采用大数据建模的方法,分析了运营商底层信令平台数据,研究了层次分析法和客户日常接触沟通频率层次的界定,提出了浅关系模糊营销快速机制,经过试验证明,浅关系模型能够快速验证客户的关系圈子并分析出业务倾向。基于当前营销方案,应用本关系嗅探方案可较好地与快速营销系统结合,以提升营销效率;同时,关系嗅探方案还可应用于更为广泛的家庭、政企业务。In order to deal with the difficulty in the customer relationship identification for operators, the big data modeling was adopted to analyze the underlying signaling platform data of operators, investigate the definition of AHP and customer contact frequency and propose the fuzzy relationship marketing based on the shallow relationship. It was proved that the shallow relationship model can quickly verify the customer relationship circle and analyze the customer＇s business tendency. Based on the current marketing plan, the application of the relationship sniffing scheme can combine with the rapid marketing system and enhance the marketing efficiency. In the mean time, the scheme can be also applied to a wider range of household and government business.

关 键 词：关系嗅探 大数据 快速营销 P2P频率模型 

分 类 号：TL822.6[核科学技术—核技术及应用]