Author

Anxiang Zeng

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Book Open access Nov 2026

ELBOTDS: Temporal Distribution Shift Generalization for Industry-Scale Recommender Systems

Temporal distribution shift (TDS) degrades the generalization of recommender systems: models trained on past interactions face systematically different user behavior in future time windows. While incremental training on recent data is widely used in industry production, it can over-adapt to transient patterns and exace...

Yuxuan Zhu, Cong Fu, Ya-Bo Ni et al. · 0 citations

Preprint Aug 2026

Knowledge-Geometry Decoupling: Refreshable Pretrained Transfer for Streaming Recommendation

Knowledge-Geometry Decoupling (KGD) is proposed and Behavioral Multi-Token Prediction (BMTP) is introduced to retain only collaboratively or semantically related future items as supervision, yielding cleaner and more transferable behavioral knowledge.

Zixuan Wang, Yuhong Chen, Yuxuan Zhu et al. · 0 citations