A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning
June 23, 2022 Β· Declared Dead Β· π International Conference on Artificial Intelligence in Education
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Authors
Shuyan Huang, Qiongqiong Liu, Jiahao Chen, Xiangen Hu, Zitao Liu, Weiqi Luo
arXiv ID
2206.12291
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI
Citations
4
Venue
International Conference on Artificial Intelligence in Education
Last Checked
4 months ago
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.
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