Author

Binbin Cao

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Jul 2026

LoopMemGR: From Behavior Logs to Evolving Memory for Generative Recommendation

LoopMemGR is proposed, a closed-loop recommendation experience memory framework for generative recommendation that maintains a recommendation experience log that records past recommendation--feedback trajectories and extracts request-relevant evidence through three complementary views.

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

Preprint Aug 2026

DREAM Technical Report

This work presents DREAM (Developing Recommender Engine with Agentic Methods), an autonomous optimization control architecture that adds a perception-aware, orchestrable, and auditable policy layer atop existing pipelines without replacing them, supporting agentic meta-control as a viable paradigm for industrial recomm...

Bin Zhang, Bo-Wen Zheng, Chao Yi et al. · 0 citations