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Author

Shou-Ke Qin

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Preprint Sep 2026

MuSeR: Scalable Long-sequence Recommendation with Multi-interest Modeling

The contribution is a system-level integration that makes long-term, multi-interest, and multimodal modeling jointly deployable in a real-time production pipeline, together with the engineering practices required to sustain it.

Yong-Kang Fu, Bei-Ning Bao, Yu Jiang et al. · 0 citations
Book Open access Sep 2026

UNIQUE: A Unified Retrieval and Ranking System for Large-Scale Feed Recommendation

Results show that UNIQUE provides a stable, efficient, and production-ready framework for unified retrieval and ranking in industrial recommendation, and a balanced quantization mechanism is further introduced to mitigate codebook imbalance and improve long-tail representation.

Zhuang-Chen-Ying-Ying Liu, Yong-Kang Fu, Zuo-Dong Yang et al. · 0 citations

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