\textbf{DeepInterestGR

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

Announce Type: replace 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 sparse feedback about whether a generated SID corresponds to a semantically useful item. We introduce...