NR4DER combines mLSTM-based knowledge tracing, active-student representation transfer, and neural re-ranking to produce diversified exercise recommendations that outperform baselines on three public datasets.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.IR 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
NR4DER combines mLSTM-based knowledge tracing, active-student representation transfer, and neural re-ranking to produce diversified exercise recommendations that outperform baselines on three public datasets.