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Author

Shang-Yu Zhang

2 papers indexed here

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Preprint Sep 2026

ChronicleRec: Pre-training Temporally Anchored Tokens for Lifelong User Modeling

Modeling ultra-long user behavior sequences is crucial for industrial recommendation and online advertising, yet directly feeding thousands of historical actions into ranking models is computationally prohibitive, while truncation discards long-range signals. Existing lifelong-interest methods retrieve target-relevant...

Chengkai Huang, Yu-Bin Sheng, Liang Guo et al. · 0 citations
Book Open access Sep 2026

UniTraj: Cross-Domain Long-Sequence Modeling for Commercial Recommendation

Long-sequence modeling is increasingly important in recommender systems for capturing users’ evolving and long-term interests. In advertising, however, user interaction histories are often highly sparse due to limited exposure opportunities, making ad-only behavior sequences insufficient for effective long-sequence rec...

Xian Hu, Ming Yue, Zhi-Xiang Feng et al. · 0 citations

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