Dual Conditional Diffusion for Generative Cross-Domain Recommendation via Disentangled Knowledge Transfer
Cross-domain recommendation (CDR) mitigates data sparsity by transferring knowledge across domains, and dual-target CDR further enables bidirectional transfer to improve both domains simultaneously. However, existing methods largely rely on linear augmentation or reconstruction, which may generate semantically inconsis...