Research on the Application of Big Data and Cloud Computing Technology in the Smart Course Selection System
Hongying Liu · 2021 3rd International Conference on Artificial Intelligence and Advanced Manufacture · 2021
In order to study the personalized recommendation problem of students' independent online course selection in the educational administration information management system of colleges and universities, the article adopts an improved algorithm based on the fusion of the nearest neighbor model and the probability matrix decomposition. Finding similar students by measuring the similar relationship between students (selecting courses) (selecting courses), and then apply the neighbor set with the most similarity to the student (selected course) to the collaborative filtering recommendation algorithm based on probability matrix decomposition. The article designed a practical system for students selecting courses, a key issue in the reform of educational administration management in colleges and universities, and expounded the basic principles and system structure of ASP-based online course selection system development, and discussed how to use ASP to realize database selection. It also introduces the design process of several main functional modules of the online course selection system and realizes the course selection system. Through research, it is found that the course selection effect is good.