Diff-MSIN improves multi-modal CTR prediction AUC by roughly 1.5-2% over prior multi-modal baselines by disentangling common, specific, and synergistic modality features.
In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.IR 1years
2025 1verdicts
CONDITIONAL 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction
Diff-MSIN improves multi-modal CTR prediction AUC by roughly 1.5-2% over prior multi-modal baselines by disentangling common, specific, and synergistic modality features.