Data-free Knowledge Distillation for Reusing Recommendation Models

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Extracting Essential and Disentangled Knowledge for Recommendation Enhancement

K Du, J Chen, J Lin, M Zhu, B Chen, S Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Recommender models play a vital role in various industrial scenarios, while often faced with
the catastrophic forgetting problem caused by the fast shifting data distribution, eg, the …
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