Author

Hai-Lan Yang

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Preprint Oct 2026

R2QRec: Learning Recommendation Queries from Retrieval Feedback

Query-based recommendation separates expressing user needs from locating matching items. Its central learning problem is how to turn item interactions into effective retrieval requests when interaction logs do not annotate queries. We present R2QRec, which uses a fixed retrieval system to construct query supervision an...

Weixin Chen, Shu-Chang Liu, Hai-Lan Yang et al. · 0 citations

#reinforcement learning Book Open access Nov 2026

GloRank: Generative Reranking for Deep Recommender Systems via Global Identifier Generation

As a critical stage in the modern multi-stage recommendation pipeline, list-wise reranking determines the final exposed item sequence and directly shapes the user experience by modeling complex dependencies among candidate items within a list. Existing methods typically formulate this task as selecting indices from the...

Peng-Yue Jia, Xiao-Bei Wang, Yingyi Zhang et al. · Proceedings of the 35th ACM... · 0 citations