Abstract: Traditional big data tools are generally built for professional data analysts,and they have the characteristics of being difficult to get started,poor operation interaction,and not intelligent enough.The intelligent interactive guidance system is a set of big data analysis auxiliary tools developed around the current problems of the big data interactive analysis system.The system not only develops core key technologies such as user intention understanding,data sampling and column recommendation,visualization recommendation,and analysis method recommendation,but also has a good graphical interface and a humanized intelligent interactive experience.While meeting the user's multiple interactive analysis needs,it also has a very high response speed.Not only can you go back to any step of the analysis process to reselect the method execution process at any time,but you can also quickly integrate with various analysis applications through the interface to deploy and apply to different scenarios.After experimental tests,the average interaction time of the system is within 3 seconds,and the execution time of the system interaction is accelerated by about 3 times compared with the traditional analysis method.After using case testing,the system is also more satisfying than the use of traditional tools.Through the exploration of ease of use,timeliness,interactivity,and intelligence,the smart interactive guide system allows users of different basic groups to use the system to complete the required big data analysis goals.

Key words: Big data system, Data analysis, Method recommendation, Smart interaction, User intention