Selecting about 500 sessions with an active-learning policy lets a small recommender learn from an LLM teacher better than prior distillation baselines on two datasets.
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Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
Selecting about 500 sessions with an active-learning policy lets a small recommender learn from an LLM teacher better than prior distillation baselines on two datasets.