TDPM is a diffusion-based generative recommender that disentangles user preferences into period and point components to enable time-aware diffusion on semantic indices, reporting up to 29% gains on HR@20 and NDCG@20 over baselines on three datasets.
Masked diffusion for generative recommendation.arXiv preprint arXiv:2511.23021, 2025
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Time-Aware Diffusion based on Preference Disentanglement for Generative Recommendation
TDPM is a diffusion-based generative recommender that disentangles user preferences into period and point components to enable time-aware diffusion on semantic indices, reporting up to 29% gains on HR@20 and NDCG@20 over baselines on three datasets.