A Comprehensive Content-Based Recommendation System for Programming Problems Through Multi-Faceted Code Analysis
Recommending exercises in educational contexts requires balancing relevance and diversity to support effective learning progression. In such settings, content-based recommendation is particularly suitable, as it aligns with specific learning objectives and supports progression without relying on ext...
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| Main Authors: | Daniel M. Muepu, Yutaka Watanobe, Md. Faizul Ibne Amin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11016664/ |
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