TDM trains diffusion recommenders on histories with deliberately removed items, using dual-side Thompson sampling guided by continuity and stability, to improve robustness to real missing data.
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Addressing Missing Data Issue for Diffusion-based Recommendation
TDM trains diffusion recommenders on histories with deliberately removed items, using dual-side Thompson sampling guided by continuity and stability, to improve robustness to real missing data.