DSIRM: Learning Query-Bridged Discrete Semantic Identifiers for E-commerce Relevance Modeling 事件

DSIRM: Learning Query-Bridged Discrete Semantic Identifiers for E-commerce Relevance Modeling arXiv:2606.04374v1 Announce Type: cross Abstract: Despite rapid progress of continuous embeddings for e-commerce search relevance, a long-standing open problem is the difficulty in capturing fine-grained attribute distinctions. While discrete Semantic Identifiers (SIDs) have been widely adopted as a promising alternative, existing SID generation methods rely heavily on unsupervised quantization. In rea