Design And Implementation Of New User Behavior Mining And Analysis System Based On IPTV Platform

With the advance of the global economic integration, the competition between knowledge and information has become the theme of today’s global economic competition. The mining and analysis of behavior as an important technology is widely used in modern enterprise management. For improving the decision-making ability of enterprise and enhancing the competitive advantage of enterprise, reasonably using kinds of the enterprise data to quantitative analysis has become more and more important problem.In this paper, we discuss the user behavior mining of new media based on IPTV platform and deeply research the mining technology of behavior analysis. Based on the actual project about the user behavior mining and analysis system of new media, we have completed demand analysis and design of the system. User behavior mining analysis system of the new media includes the process of data gathering, the statistical analysis of IPTV users viewing behavior, the function of new media viewing reports, user behavior data modeling and associated mining analysis of user behavior data, the supported function of content delivery in real time. On the technical, it reasonably uses data warehouse and Extract-Transform-Load, OLAP reporting tools, multidimensional analysis tools, indicators management platform and J2EE development framework to analysis data in the system.On the basis of the system design, the implementation and running of the system are completed. After the commissioning of optimization, the development of the system is further improved. Finally the system is tested, and test results show that the function and performance of the system meet the requirements. Now the system has been put into the practical use and the development has achieved the expected goal.