arXiv (OAI Expanded)
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Self-Evolving Memory for Generative Recommendation
Generative recommendation has emerged as a promising end-to-end paradigm for personalized recommendation. However, user preferences continuously evolve over time, making self-evolving an essential capability for generative recommender systems. Existing evolving strategies, such as continual retraini
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