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Recommendation Retrievers Need Verifiers: Universal Generative Reranking for Sequential Recommendations

Zhang, Benyu et al.
arXiv (All) · Papers
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artificial-intelligenceinformation-retrieval
First-stage recommenders in multi-stage systems produce a ranked candidate list from which a limited prefix is forwarded to downstream rankers. Because each forwarded item must be processed by more expensive ranking stages, this shortlist cannot be arbitrarily large. The first-stage objective is the
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