mlsanityData to 14 Oct 2026

A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning

arXiv 2206.12291 ↗First posted 23 Jun 2022cs.IR cs.AIcited by 2

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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

  1. 2019RoBERTa: A Robustly Optimized BERT Pretraining Approachcited by 13,372
  2. 2015A Diversity-Promoting Objective Function for Neural Conversation Modelscited by 1,077
  3. 2017Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Timecited by 47
  4. 2019Recommender Systems with Heterogeneous Side Informationcited by 11
  5. 2019Adaptive Learning Material Recommendation in Online Language Educationcited by 4
  6. 2021An Educational System for Personalized Teacher Recommendation in K-12 Online Classroomscited by 1

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Cited by year

Citing papers per year: 2023: 1; 2024: 1.

2 papers.