UniGCRec: Unified User-Item Quantization for Generative Cross-Domain Recommendation
This work presents UniGCRec, which constructs a cross-domain user profile from multi-domain histories and quantizes both users and items into CSC-IDs that integrate semantic and collaborative signals, effectively mitigating user-item asymmetry and enabling preference-aware selective transfer under low-overlap settings.