FineSID: Scalable and Efficient Semantic Identifier Learning for Generative Recommendation
A critical prerequisite of generative recommendation is designing semantic identifiers (SIDs) that are both scalable to large item sets and efficiently learnable. Existing SID learning methods fundamentally rely on Top-1 hard assignment during vector quantization. While heuristic strategies -- such as clustering-based...
Song-Li Wu, Wei-Nan Gan, Zhao-Cheng Du et al.
· 0 citations