A Large-scale Multimodal Dataset for recommender System
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Updated
Mar 19, 2025 - Python
A Large-scale Multimodal Dataset for recommender System
End-to-end Training for Multimodal Recommendation Systems
A Continuously Updated Library for Advanced Models for Multimodal Recommendation
Efficient Multimodal Foundation Model Adaptation for Recommendation
Code for Multi-Aspect Cross-modal Quantization for Generative Recommendation. (AAAI 2026 Oral)
A repository listing important datasets for multimodal recommender systems
[CIKM 2025] Source code for "Modality Alignment with Multi-scale Bilateral Attention for Multimodal Recommendation".
The source code for our Paper: ''Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities''.
Reproducibility and benchmarking codes for the LLMRec paper.
[WWW 2026] "Multi-view Semantic Contrastive Alignment for Multimodal Recommendation"
"Training-free Graph-based Imputation of Missing Modalities in Multimodal Recommendation", accepted in IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)
Multi Modal Recsys Incorporating Review Embeddings in MMRec
Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
Multimodal Recommendation System
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