Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation 事件

Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation arXiv:2606.01670v1 Announce Type: cross Abstract: Recently, Generative Recommenders (GRs) have emerged as a transformative recommendation paradigm by replacing traditional item IDs with semantic indices (SIDs). Owing to the exceptional generative capabilities of diffusion models, a few pioneering works explore developing GRs with diffusion architectures as the backbone. However, a fatal limitation of existing