Research On Web Storage And Analysis Of User Behaviors

Along with the fierce competition between the sites, the service and products of the sites are in innovation. Due to the behaviors of internet users visit the websites produce a large amount of data, in order to adapt to the user behaviors and the change of user requirements better, and update products and services timely and effectively, the study of the user behaviors appears increasingly important. Along with the development of web2.0 technology, the research of the analysis of internet users and user behaviors faced with new challenges. Therefore, more and more people put their attention on how to study the user behaviors under the background of new technology. At the same time the work load on the server to the user behavior analysis is growing. While studying user behaviors, how to reduce the work load on the server which has received increasing attention.Main work content is as follows:in this field this paper mainly studies the indexes of user behavior, and on the basis of combining the analysis theory of user behaviors, it put forward an evaluation index system of user behaviors. This paper mainly considers the two aspects of the accuracy and comprehension of the information collection of users’visits. It discusses the methods of information acquisition of user behavior and the building of evaluation index system of user behavior, and use a new information acquisition scheme to solve the problems in the information acquisition of user behaviors. The statistics analysis tool of Baidu is used to implement the basic requirements of data collection of user behaviors. In view of advantage of the Html 5 Web Storage local Storage technology, it’s used as an auxiliary technology for data analysis. To provide more data services for Internet users, develop web applications at the same time also can provide support for data acquisition and analysis. This paper analyzes several kinds of commonly models or analysis system of user behaviors, combining with an instance of GPmart website as analysis object, through the deployment of user data collection tools and the use of web storage technology, and combined with the distributed algorithm, the thought based on Map/Reduce the distributed analysis model for user behaviors is proposed. Finally, on the basis of the analysis of data of user behavior, it put forward the improvements of website product services, and obtained the certain effect.