Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation 事件

Deep Interest Mining for Intent-Enriched Semantic IDs in Multimodal Generative Recommendation arXiv:2604.20861v3 Announce Type: replace-cross Abstract: Semantic IDs (SIDs) provide the discrete item vocabulary used by generative recommendation, but their quality depends on what item evidence is preserved before quantization. In product recommendation, surface metadata often misses latent usage intent, visual evidence may be only weakly reflected in text, and downstream policy learning provides s