A Design of a Simple Yet Effective Exercise Recommendation System in K-12 Online Learning
Abstract
We propose a simple but effective method to recommend exercises with high quality and diversity for students. Our method is made up of three key components: (1) candidate generation module; (2) diversity-promoting module; and (3) scope restriction module. The proposed method improves the overall recommendation performance in terms of recall, and increases the diversity of the recommended candidates by 0.81% compared to the baselines.
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Recommended Citation
Huang, S., Liu, Q., Chen, J., Hu, X., Liu, Z., & Luo, W. (2022). A Design of a Simple Yet Effective Exercise Recommendation System in K-12 Online Learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13356 LNCS, 208-212. https://doi.org/10.1007/978-3-031-11647-6_36
