With the continuous development of networks, web-based e-learning is changing the way people acquire knowledge. An increasing number of learners are eager to acquire more knowledge through personalized and intelligent means. Based on content recommendation and collaborative ﬁltering recommendation algorithm, this paper proposes a hybrid recommen- dation algorithm which can improve the efﬁciency of traditional recommendation algorithm. The presented research introduces the whole process of user interest model and teaching resources model, which also designs and implements the personalized network teaching resources system prototype. Finally, in comparison with the traditional recommendation algorithm, the improved hybrid recommendation algorithm has more advantages in personalized intelligent educational resources recommendation system. Keywords Smart education Learning resource Collaborative ﬁltering SVM 1 Introduction With the continuous development of the network technol- ogy, web-based e-learning [1, 2] is changing the way people acquire knowledge; more and more learners are & Haining Li eager to acquire more knowledge through more personal- email@example.com; firstname.lastname@example.org ized and intelligent way. In e-learning environment, with & Shu Zhang the rapid expansion of teaching resources and information, email@example.com the ‘‘information overload,’’ ‘‘resources lost’’ and other Hui Li problems appeared one after another. How to push out the firstname.lastname@example.org; email@example.com
Neural Computing and Applications – Springer Journals
Published: Jun 6, 2018
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