Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation
W Mao, S Liu, H Liu, H Liu, X Li, L Hu - arxiv preprint arxiv:2501.17670, 2025 - arxiv.org
Diffusion models (DMs) have emerged as promising approaches for sequential
recommendation due to their strong ability to model data distributions and generate high …
recommendation due to their strong ability to model data distributions and generate high …
Value Function Decomposition in Markov Recommendation Process
Recent advances in recommender systems have shown that user-system interaction
essentially formulates long-term optimization problems, and online reinforcement learning …
essentially formulates long-term optimization problems, and online reinforcement learning …