Jingpu Duan

Enhancing Guidance for Missing Data in Diffusion-Based Sequential Recommendation

Contemporary sequential recommendation methods are becoming more complex, shifting from classification to a diffusion-guided generative paradigm. However, the quality of guidance in the form of user information is often compromised by missing data in the observed sequences, leading to suboptimal gen…