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The main purpose of this paper is to study the decision matrix of user preference data acquisition theory and method based on, to establish effective user preference acquisition model and the method, to further enrich and improve user preference decision matrix theory and method and for the user decision support system provides the decision data analysis method Decision is to solve a problem or to achieve certain goals is proposed to solve problems and achieve targets for a variety of feasible scheme, with the help of some tools, technology and information, according to some evaluation criteria and standards, in a variety of options, select an optimal or satisfactory case analysis, judgment and put into the implementation of the management process. With the development of the Internet, users get more and more information from the Internet, at the same time, users also publish their own information on the Internet to provide to other users. "New Moore's law" points out that the information on the Internet is increasing at a rate of six months each month. The increase in the amount of information should be given to the Internet users to bring more convenience, But that is not the case, in the face of vast information, It takes a lot of time to find the information you need to take a lot of time to search for the information you need.Users often get lost in the vast amount of information available on the web.At the same time, in accordance with the requirements of a certain part of the user has lost contact with these valuable users, network application providers have gradually come to understand this problem. How to learn the user's interest in the Internet needs and can provide users with accurate information to become the key to attract users and expand the number of users.

Due to the traditional software architecture can not meet the performance requirements of large concurrent real-time applications, using the SocketCluster real-time transmission frame of the new non blocking asynchronous mode of Node.js platform and on the basis of the realization of the function of the cluster support Web video conferencing system work on mobile platform. The system can support the scalability of CPU multi core and multi server cluster, so as to meet the requirement of real-time application system.The test proves that the real time system developed by the above platform is superior to the experience and foundation for the future development of real time application.