Balancing Semantics and Efficiency: A Large‑Scale Personalized Generative Retrieval Method (ICDM 2025)

The paper proposes Hi‑Gen, a generative retrieval framework for large‑scale e‑commerce that jointly models semantic relevance and efficiency through discriminative product vectors, category‑guided hierarchical clustering, and a position‑aware loss, achieving more accurate and faster personalized recall.

generative retrievalhierarchical clusteringpersonalized e-commerce search

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