基于大数据的电信领域用户服务模型与数据融合策略研究

Research on Customer Service Model and Data Fusion Strategy of Telecom Based on Big Data

移动互联网技术的迅猛发展,为移动电子商务发展奠定了基础,产生了新的移动消费模式。通过对大量的移动用户数据的来源与特征进行分析,设计了用户的特征模型,构建了融入情境分析的移动用户服务模型;在Hadoop架构的基础上搭建了电信领域大数据处理框架,并在电信业务数据融合与服务挖掘应用方面做了分析,为新移动消费、消费定制和个性化推荐与营销等提供了支持。

The rapid development of mobile network and internet technology, laid the foundation for the development of mobile e-commerce, and a new mobile consumption patterns appeared. The user characteristics model was designed by analyzing a large number of mobile users data sources and characteristics, and mobile user service model with the context analysis was built. Then, the telecommunication data processing framework on the basis of Hadoop framework was built. And also the analyzation of telecommunication data fusion and service mining application was made. It can be supportive for the new mobile consumption, consumption custom and personalized recommendation and marketing, etc.