MoDiCF combines per-modality diffusion with modality-aware conditioning and a counterfactual re-scoring step, improving accuracy and item exposure fairness on incomplete multimodal recommendation datasets.
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Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations
MoDiCF combines per-modality diffusion with modality-aware conditioning and a counterfactual re-scoring step, improving accuracy and item exposure fairness on incomplete multimodal recommendation datasets.