Cloud computing-based online video sports course management

Abstract

Abstract This paper designs a kind of effective online video system by introducing cloud computing technology into the field of sports course management. The main idea is to use the attention network mechanism to obtain the characteristics of the target course and use the recommendation algorithm to calculate the accurate recommendation for the user. In this process, the course vector and user features obtained through the model can be stored and compiled by the system, and a course recommendation system database can be constructed. Then, a system engine is designed based on clustering implicit vectors and course data, which can make personalized recommendation based on different application scenarios and users, thus providing data support for system course recommendation. Finally, the platform requirements of online video teaching practice are investigated, and the demonstration object of online teaching practice is proposed; The system is mainly equipped with user information and authority management, live video teaching management and video-on-demand teaching management, teaching video album management, teaching evaluation online course management, teaching and research interaction, examination management and other functions, and its microservice division is completed in distributed cloud computing. implemented in the service.. A series of tests have confirmed the effectiveness of the platform, which has a certain reference value for improving the effect of physical education teaching and improving the effect of students' physical education.