Abstract
With the Internet applications in the commercial area of rapid spread, consumer demand-driven experience of becoming a leading Internet development. At the same time, e-commerce as the representative of the social network of constantly new changes. In computer systems and social integration of e-commerce systems are highly interactive, the consumer bears an increasingly important role in consumer behavior characteristics and potential demand has become an important driving force for technological development. A large number of enterprises through the establishment of collaborative filtering recommendation systems predict consumer model, personalized recommendations and services to address the information overload problem. Based on the above requirements, in-depth study of the progress of theoretical research services and service quality management theory, according to a large data analysis and complex network, is recommended by consumer behavior.
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