A Personalized e-Learning System Based on EGL
Jie Gao, Bo Song · International Journal of Machine Learning and Computing · 2014
With the development of Internet technology, information resource is being spread widely, thus the issue of information overload formed.It becomes more difficult for users to retrieve their needed information from so enormous information space.To solve the issue of information overload, recommender system emerges as the times require.This paper presents the personalized e-learning system based on Collaborative Filtering Recommender Algorithm.And the system will be implemented based on EGL with the advantages of developers paying attention to the business issues without caring for software technical details.By the solution of EGL, the function of personalized information recommendation of e-learning system will be achieved and personalized information will be recommended to users to help them improve learning efficiency.The results show that the solution of EGL is more flexible and simple, reduce the development cycle and cost, improved the real-time requirement of e-learning system.