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Recommendation unlearning is an emerging task to serve users for erasing unusable data (e.g., some historical behaviors) from a well-trained recommender model.
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Selective and collaborative influence function for efficient recommendation unlearning
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A Survey on Large Language Models for Recommendation
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Making recommender systems forget: Learning and unlearning for erasable recommendation
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