Author

Pu-Zhen Wu

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Preprint Sep 2026

Recommendation World Models for Future-State Control

Sequential recommendation optimizes which items to rank, while each displayed slate also shapes subsequent feedback and user state. We study how a trained ranker can support decisions about these future consequences. We introduce UA-TWM, a utility-anchored world-model interface that constructs nearby slate actions, est...

Jin-Feng Xu, Zhe-Yu Chen, Zi-Yue Peng et al. · 0 citations

Preprint Aug 2026

Agents as Knowledge Integrator and Utilizer in Multimodal Recommendation

Online platforms increasingly rely on multimodal recommender systems to rank products, media, and other Web content. Existing methods usually inject visual and textual features into item representations or build homogeneous graphs from modality-level similarity, but the resulting signals can remain misaligned with the...

Jin-Feng Xu, Zhe-Yu Chen, Shuo Yang et al. · 0 citations