Conditional Diffusion Denoising and Multi-Source Semantic Fusion for Social Recommendation
A core-interest-guided conditional diffusion denoising approach is proposed, where user core interests extracted from historical interactions are used as semantic conditions to progressively refine noisy social representations in the latent space, and a unified framework, termed CDD-MSF, is proposed.