Design And Implementation Of Stadium Service Platform Based On Spring Boot

The traditional sports management system has the problem of focusing on management but neglecting service.It performs well in internal daily management,but the service to sports consumers and participants is often ignored,which leads to the low utilization rate of sports venues.Through opening the information gap between venue operators and consumers,and making full use of the information and flow advantages of the service platform,the stadium service platform truly focuses on serving sports enthusiasts.Through the application of the stadium service platform,it improves the promotion of offline sports venues,so as to achieve the positive role of expanding customer groups.The sports venue service platform is for sports enthusiasts,venue operators and system management personnel.Sports enthusiasts use the service platform to quickly obtain the surrounding sports venue resources.The online service platform of venue operators publishes their own sports resources.The system administrator performs relevant authority operations to maintain the healthy and orderly operation of the service platform.Recommend sports venues to sports enthusiasts to help them get target users in a shorter time and at a lower cost.Fully mining the offline hardware facilities resources can greatly improve the profitability and operation efficiency of sports venues.Using java language and SpringBoot framework technology,the service platform of sports venues analyzes the internal structure of the framework,studies the framework ideas,basic features and core technologies in the design principles to design projects that meet the needs of the service platform of sports venues.Compared with the previous software development technology,SpringBoot framework can independently create applications,embed and automatically configure related containers,rely on its core features,use dependency injection to achieve inversion of control,support aspect oriented programming and a variety of excellent frameworks.According to the design principle of the database,the MySQL database of the system is established,the relevant attributes of the database are reasonably determined,combined with big data and artificial intelligence technology,the recommendation algorithm based on collaborative filtering is designed,and the deployment scheme is designed considering the access volume of the system.After the completion of the system development,the system is tested.