TRACER: Token ReAssignment for Concept ERasure in Generative Recommendation (opens in new tab)  Content Scoring  Content type: Academic

Generative recommendation formulates next-item prediction as autoregressive generation over semantic ID (SID) sequences derived from users' historical interactions, making modern recommender systems structurally similar to large language models (LLMs). As privacy and safety concerns grow, these systems increasingly require concept unlearning to remove sensitive or harmful concepts associated with items. However, existing LLM unlearning methods c...

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