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Mingming Li

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#artificial intelligence Preprint Sep 2026

How Can Recommendation Feedback Evolve Agent Memory?

Content-generation agents continuously receive impressions, clicks, conversions, and negative feedback from recommendation systems, providing real-world outcome signals for memory evolution. However, these signals are delayed and noisy, confounded by audience composition, placement, and recommendation policies, and may...

Shan-Wen Mao, Ming-Ming Li, Hao Zhang et al. · 0 citations
Jul 2026

CogRec: Structure-Cognitive Fast-and-Slow Reasoning for Generative Recommendation

Experiments on three public sequential-recommendation benchmarks show that SID Routing improves its corresponding direct-generation, and indicate that structure-grounded reasoning is most useful when prefix matching is insufficient but learnable SID-space transitions remain available, whereas long or weakly supported r...

Xiang Liu, Jingsong Su, Shuqing Zhao et al. · 0 citations

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