Study of intelligent recommendation for online video courses
Peng Jiang, Yanhui Feng, Chenxiao Niu, Yonghui Dai · 2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC) · 2021
In order to improve the accuracy of online video course recommendation, this paper proposes a method combining Latent Dirichlet Allocation (LDA) model and artificial neural network for intelligent recommendation. Firstly, the online text comments of each course are extracted, and an LDA model containing topics and words is constructed. Then, according to learners' browsing history and online behavior, artificial neural network model is used to analyze learners' preferences and mine their learning preferences. Finally, the LDA model of learners' subject words is established and applied to intelligent recommendation courses. Experimental results show that our method can effectively recommend appropriate courses to learners.