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
Efficient Multimodal Foundation Model Adaptation for Recommendation
A Continuously Updated Library for Advanced Models for Multimodal 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.
"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
Multimodal Recommendation System
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