Author

Han Li

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#artificial intelligence Preprint Sep 2026

SimTrace: Grounded Multimodal User Trajectories Generation for Online User Modeling

Virtual clients offer a cost-effective approach to support applications such as A/B testing, recommender system development, and interface evaluation. However, building them requires access to large-scale, semantically faithful, fine-grained online user trajectories. These data are difficult to obtain because proprieta...

Yunan Lu, Shuang-Yang Xie, Meghna Allamudi et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Scaling Articulated Rationales for MLLM-based Recommendation

These findings establish articulated rationales as a useful complement to behavioral and content signals, and demonstrate a practical role for MLLMs in scaling sparse human explanations into preference information that improves industrial recommendation.

Hao-Ke Xiao, Yue-Yang Liu, Yu-Hui Zhang et al. · 0 citations