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cs.IR2026
Beyond Noisy Signals: Dual-Level Denoising for Multi-modal Sequential Recommendation
Jie Luo, Qi Jin, Xinming Zhang
Multi-modal Sequential Recommendation (SR) incorporates rich side information (e.g., textual and visual features) to enhance dynamic user preference modeling. However, existing fra…
cs.IR2025
Time-Aware Adaptive Side Information Fusion for Sequential Recommendation
Jie Luo, Wenyu Zhang, Xinming Zhang +1
Incorporating item-side information, such as category and brand, into sequential recommendation is a well-established and effective approach for improving performance. However, des…
cs.IR2025
Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations
Wenyu Zhang, Jie Luo, Xinming Zhang +1
With the explosive growth of multimodal content online, pre-trained visual-language models have shown great potential for multimodal recommendation. However, while these models ach…