Student Aesthetic Education Recommendation App Based on Interest
Lin Luxing · 2020
This paper focuses on the construction of interest model, and comprehensive consideration of users' browsing, evaluation and other behaviors, to propose a learning system based on knowledge points. It analyzes the characteristics of learners' cognitive level and initializes the student model conforming to the learners' personal level. Then according to the analysis of various personalized recommendation algorithms, the user based recommendation algorithm, which is widely used in e-commerce collaborative filtering algorithm, is mainly used to design personalized learning resource recommendation APP platform for aesthetic education teaching. Starting from the business requirements of the teaching platform, the overall planning scheme of the platform is provided, and the detailed implementation strategy of the key recommendation sub module function is also performed. Finally, through the database design, interface design and function test analysis of APP mobile teaching platform, the feasibility and effectiveness of the system are proved.