The Design And Implementation Of A User-click Stream Analysis System Based On Plug-in

With the rapid development of Internet technology,network information is becoming more and more abundant,and messaging is becoming more and more instant,and the Internet has become an important source for people to obtain information on a daily basis.Facing the vast amount of information on the Internet,it becomes more and more difficult for people to get the information they want.If a website can capture the user's browsing behavior in real time and provide users with personalized services,it will be recognized and favored by users.Obtaining the user's behavior trajectory and providing personalized information services instantly become an important part of the long-term development of a website.The plug-in-based user clickstream analysis system is mainly divided into a data acquisition module,a data preprocessing module,a data warehouse module,and a statistical analysis data visualization module.The system uses JS to embed the page in the page and store the data in the back end.In the data collection,script collection and cookie tracking are used.In the data processing process,data mining tools are used to clean the data.The Map Reduce program is used to reduce abnormal data,useless data and irregular data,and store the key values in the data.In the form of easy storage,the data has been greatly reduced.In the data warehouse,the processed data is integrated and classified by type for the front end to use the data.On the front end,the Chrome extension program is used to display data on the page.The data visualization process uses Echarts for chart display.The plug-in-based user clickstream analysis system has the following characteristics: managers can use system functions by installing plug-ins,without affecting the normal operation of the current page,using front-end page data visualization to present data on the current page,and managers can The user's click behavior trajectory can be clearly viewed,which greatly improves the efficiency of monitoring user click behavior by viewing the web logs in the past.This can help managers to improve the quality of the website through analysis,improve the user's adhesion to the website,and help the future.The construction of the website has laid a solid foundation.