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Xinrui Miao

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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
Preprint Aug 2026

Rethinking Item Tokenization in Generative Recommenders: From Fixed Atoms to Semantic Subwords

In generative recommender systems, items are typically tokenized into fixed-length semantic ID sequences for autoregressive next-item prediction. However, for user-context modeling, this fine-grained representation triggers Intra-item Attention Overload: excessive attention is spent on low-level intra-item dependencies...

Xinrui Miao, Mingjia Yin, Jiaqing Zhang et al. · 0 citations

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