Author(s)

Pan Xiao

Corresponding Author

Pan Xiao

Abstract

With the continuous development of educational informatization, more and more educational resources(ER) are digitized and shared online in a digital form. In order to fully utilize these digital ERs and solve the problems of low sharing rate and low quality of ERs, it is necessary to establish a high-quality ER sharing platform. The ER sharing platform based on collaborative collaborative filtering (CF) algorithm can recommend personalized ERs for learners according to their behaviors and preferences, and improve their learning efficiency and satisfaction. According to experimental data, the number of positive reviews on the platform increased from less than 80% to more than 90%, the number of positive reviews decreased from more than 15% to less than 10%, and the number of negative reviews decreased from more than 3% to less than 1%. It can be seen that the design of ER sharing platform based on optimized CF algorithm is highly feasible.

Keywords

Collaborative Filtering Algorithm, Resource Sharing, Platform Design, Data Transmission, Process Design