Mass data processing and personalized services in Shanghai e-commerce credit evaluation platform

E-commerce has been one critical component of information society now; however credit is becoming a bottleneck for its further development. Therefore Shanghai is building a third-party e-commerce credit evaluation platform. The platform will be integrated with many external systems to collect massive credit-related data, do scientific evaluation and provide users with personalized credit services. In order to deal with mass data and provide personalized services to tenants of the platform, a cloud computing model of Shanghai e-commerce credit evaluation platform is designed in this paper. In PaaS layer, we propose a mass data processing technology based on the XML metadata specification; in SaaS layer, we propose a mixed model of data storage and a model of areas-layered tenant customization. Experiments show that these technologies and models can improve the data processing efficiency and resource utilization greatly.