Research on User Big Data Intelligent Recommendation Technology Supported by Mining Algorithm

The emergence of Internet big data has changed people's way of life. However,due to a large number of data on the Internet, various forms and varieties,it is easy to cause information overload,which is not conducive to people's information screening and utilization. In order to solve this problem,this paper uses the data mining algorithm for data analysis and on this basis,studies the user's big data intelligent processing recommendation technology,introduces its principle and implementation methods,and conducts a case study based on user interests. Through the case study,it is found that the technology has good application value and performance,so it can be put into practical application.