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Xin-Rui 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
Book Open access Sep 2026

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

UniTraj, a practical framework that extends sequence construction beyond the advertising domain by incorporating behaviors from content-consumption scenarios, forming unified commercial trajectories across domains and scenarios, is proposed and deployed in a large-scale online advertising system.

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

Semantic Subword Tokenization (SST) is proposed, which represents historical items as variable-length semantic subwords while preserving fixed-length target decoding and introduces Behavior-induced Co-occurrence Augmentation to inject coarse-grained semantic prefix transition signals.

Xin-Rui Miao, Mingjia Yin, Jiaqing Zhang et al. · 0 citations

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