A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
-
Updated
Jul 14, 2026 - Python
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
A Continuously Updated Library for Advanced Models for Multimodal Recommendation
[WWW'2023] "MMSSL: Multi-Modal Self-Supervised Learning for Recommendation"
[ACM MM'2024]"DiffMM: Multi-Modal Diffusion Model for Recommendation"
[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"
[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
[ACM TOMM'2025] "MMHCL: Multi-Modal Hypergraph Contrastive Learning for Recommendation"
Formalizing Multimedia Recommendation through Multimodal Deep Learning, accepted in ACM Transactions on Recommender Systems.
[ICASSP'2025] "M³Rec: Selective State Space Models with Mixture-of-Modality Experts for Multi-Modal Sequential Recommendation"
Official GitHub repository of the lecture "Multimodal Deep Learning for Recommendation", at the 2024 ACM RecSys Summer School
[WWW 2026] "Multi-view Semantic Contrastive Alignment for Multimodal Recommendation"
Add a description, image, and links to the multimedia-recommendation topic page so that developers can more easily learn about it.
To associate your repository with the multimedia-recommendation topic, visit your repo's landing page and select "manage topics."