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.
