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.
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