Analysis Of User Behavior And Experience Optimization In Mobile Video Search Applications

Now,the Internet development has shown the state that information explosion,rich in content,diverse forms.The internet applications have developed from PC end to mobile smart devices,such as various types of mobile phone APP,including tools,entertainment,shopping and so on.Enhance the user stickiness of an application and improve its popularity,the development of application function is important,but also can not ignore the optimization of its user experience.However,the key to improve the user experience is to do a good job of user behavior analysis.First,this paper describes the background and current situation of user behavior analysis;then describes the concept and importance of user experience;then describes the methods and drawbacks of current user behavior analysis and application optimization.Then,this paper compares and analyzes the characteristics of mobile video search applications,then demonstrates how to do a good job for user behavior analysis and optimization in a specific mobile application.In this paper,we construct a model that includes a set of small sample data analysis,visualization of simple variables,individual parameter analysis to focus on the whole process of a product from development to use.The research method of data quantization based on confidence interval algorithm is adopted for the problem of small data samples in the early stage of application;According to the growing complexity of the number of users,the combination of simple parameters analysis and individual parameters analysis is adopted to analyze the data;The whole process of the objective and accurate analysis of the user behavior contributes to develop a scientific experience of the optimization program,the overall process changes the way to design and develop application only by virtue of developers subjective,and changes the variables analysis that only focus on the variable analysis,but ignored the many intermediate of vulnerability.Based on the above user behavior analysis model,after a comprehensive analysis of specific user behavior,according to the results of the analysis of the various,this article will put forward optimization scheme from function,performance,availability,and so experience optimization method proposed for this section vertical video search application.The last part is to test on the front of the working process that is the proposed user behavior analysis methods.The utility and the effectiveness of this method is verified by comparing the old and the new data analysis results.