Design and Implementation of User Behavior Acquisition and Simulation Prediction Framework for Mobile Intelligent Terminal Based on User Perception

At present, the flow arrangement of various applications of mobile intelligent terminals is only a one-way process from developers to users, and most of them are arranged only by the experience of product designers or market research within a certain range. Real-time, portability and positioning are the characteristics of mobile terminals that are different from traditional Internet. Relevant information needs to be given to users quickly, so that users can make consumption decisions quickly. How to obtain context information effectively and predict users' consumption behavior based on context has become a topic facing personalized service field. This paper analyzes the comprehensive quality of the large data multi data source Association, and analyzes the user behavior acquisition and simulation prediction framework construction method based on user perception. Thus, it can meet the needs of users to the maximum extent, reduce the operation of users and realize the personalization of user experience. In the future, the optimization needs to combine high traffic, high user volume, high complaints and so on to carry out multi data source correlation analysis, aiming at improving user perception.