Author

Ziyue Peng

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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

Neural Tree Collaborative Filtering: Rethinking Graph Collaborative Filtering as Tree Collaborative Filtering with Curvature-Aware Propagation Depth

Graph Collaborative Filtering (GCF) has become the dominant paradigm in modern recommender systems by modeling user-item interactions as a bipartite graph and propagating embeddings through a fixed number of message-passing layers. However, applying a uniform propagation depth to every node ignores a fundamental proper...

Jinfeng Xu, Zheyu Chen, Ziyue Peng et al. · 0 citations