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