Intelligent knowledge recommendation algorithm research and practice
Laiquan Han, Zhaohai Zhang, Kaichun Lei · 2018
By expounding the development of education information, MOOCs and SPOCs, a detailed elaboration of the misconception in traditional education is analyzed. Using intelligent recommendation strategy, an intelligent knowledge recommendation algorithm (IKRA) is proposed, which takes advantage of Word2vec, linked data and knowledge discovery based on neural network language model. With the actual course unit of "computer network", educational practice about IKRA is carried out for both teachers and students. Practice has proved that IKRA algorithm activates learning initiative of students, lightens the burden of teachers and improves overall quality of teaching. Finally, we summarize the achievements of the work and prospects the next step of research in the future.