A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 6 of its 16 references that are in the map. First posted on arXiv 23 Jun 2022.
Builds on
6 of 16 references.
References · 6
- 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
- 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,077
- 2017Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Timecited by 47
- 2019Recommender Systems with Heterogeneous Side Informationcited by 11
- 2019Adaptive Learning Material Recommendation in Online Language Educationcited by 4
- 2021An Educational System for Personalized Teacher Recommendation in K-12 Online Classroomscited by 1
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Citing papers per year: 2023: 1; 2024: 1.
2 papers.