Mine and Refine: Optimizing Graded Relevance in E-commerce Semantic Search Retrieval
This work proposes Mine and Refine, a two-stage contrastive training framework that establishes a robust global embedding space via label-aware supervised contrastive learning, and substantially improves retrieval and end-to-end relevance metrics.
Jiaqi Xi, Raghav Saboo, Luming Chen et al.
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