Author

Shi-Ye Wang

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Jul 2026

LoopMemGR: From Behavior Logs to Evolving Memory for Generative Recommendation

Generative recommendation formulates next-item prediction as conditional autoregressive generation over discrete Semantic IDs, enabling end-to-end recommendation over large-scale item spaces. However, most existing methods follow a history-as-context paradigm that repeatedly reconstructs user preference from behavior h...

Hui Qian, Chang-Fa Wu, Chang Liu et al. · arXiv.org · 0 citations