Image de couverture de livre

DiffMM: Multi-Modal Diffusion Model for Recommendation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jiang, Yangqin, Xia, Lianghao, Wei, Wei, Luo, Da, Lin, Kangyi, Huang, Chao
Format:	Preprint
Publié:	2024
Sujets:	Information Retrieval
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning
par: Wei, Wei, et autres
Publié: (2024)

RecGPT: A Foundation Model for Sequential Recommendation
par: Jiang, Yangqin, et autres
Publié: (2025)

RecLM: Recommendation Instruction Tuning
par: Jiang, Yangqin, et autres
Publié: (2024)

GraphPro: Graph Pre-training and Prompt Learning for Recommendation
par: Yang, Yuhao, et autres
Publié: (2023)

RecDiff: Diffusion Model for Social Recommendation
par: Li, Zongwei, et autres
Publié: (2024)

A Comprehensive Survey on Self-Supervised Learning for Recommendation
par: Ren, Xubin, et autres
Publié: (2024)

DiffGraph: Heterogeneous Graph Diffusion Model
par: Li, Zongwei, et autres
Publié: (2025)

SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
par: Liu, Yuxi, et autres
Publié: (2024)

Pre-training for Recommendation Unlearning
par: Chen, Guoxuan, et autres
Publié: (2025)

Representation Learning with Large Language Models for Recommendation
par: Ren, Xubin, et autres
Publié: (2023)

Joint Behavior-guided and Modality-coherence Conditional Graph Diffusion Denoising for Multi Modal Recommendation
par: Pan, Xiangchen, et autres
Publié: (2026)

LightGNN: Simple Graph Neural Network for Recommendation
par: Chen, Guoxuan, et autres
Publié: (2025)

SSLRec: A Self-Supervised Learning Framework for Recommendation
par: Ren, Xubin, et autres
Publié: (2023)

MR.Rec: Synergizing Memory and Reasoning for Personalized Recommendation Assistant with LLMs
par: Huang, Jiani, et autres
Publié: (2025)

Graph Augmentation for Recommendation
par: Zhang, Qianru, et autres
Publié: (2024)

DiffGRM: Diffusion-based Generative Recommendation Model
par: Liu, Zhao, et autres
Publié: (2025)

S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain
par: Xia, Rui, et autres
Publié: (2024)

MixRec: Heterogeneous Graph Collaborative Filtering
par: Xia, Lianghao, et autres
Publié: (2024)

Diffusion Models in Recommendation Systems: A Survey
par: Wei, Ting-Ruen, et autres
Publié: (2025)

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation
par: Yang, Wei, et autres
Publié: (2026)

Generating Negative Samples for Multi-Modal Recommendation
par: Ji, Yanbiao, et autres
Publié: (2025)

LightRAG: Simple and Fast Retrieval-Augmented Generation
par: Guo, Zirui, et autres
Publié: (2024)

Disentangled Contrastive Collaborative Filtering
par: Ren, Xubin, et autres
Publié: (2023)

Diffusion Recommender Model
par: Wang, Wenjie, et autres
Publié: (2023)

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
par: Li, Kaiyuan, et autres
Publié: (2025)

LLMRec: Large Language Models with Graph Augmentation for Recommendation
par: Wei, Wei, et autres
Publié: (2023)

Dataset and Models for Item Recommendation Using Multi-Modal User Interactions
par: Bruun, Simone Borg, et autres
Publié: (2024)

Adaptive Utilization of Cross-scenario Information for Multi-scenario Recommendation
par: Shu, Xiufeng, et autres
Publié: (2024)

The 3rd Place Solution of CCIR CUP 2025: A Framework for Retrieval-Augmented Generation in Multi-Turn Legal Conversation
par: Li, Da, et autres
Publié: (2025)

Diffusion Model for Interest Refinement in Multi-Interest Recommendation
par: Le, Yankun, et autres
Publié: (2025)

Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation
par: Pan, Junwei, et autres
Publié: (2026)

QARM V2: Quantitative Alignment Multi-Modal Recommendation for Reasoning User Sequence Modeling
par: Xia, Tian, et autres
Publié: (2026)

Plug-in Diffusion Model for Sequential Recommendation
par: Ma, Haokai, et autres
Publié: (2024)

Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising
par: Cui, Xiaoxi, et autres
Publié: (2025)

Hyperbolic Diffusion Recommender Model
par: Yuan, Meng, et autres
Publié: (2025)

Quality-Aware Collaborative Multi-Positive Contrastive Learning for Sequential Recommendation
par: Wang, Wei
Publié: (2026)

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou
par: Luo, Xinchen, et autres
Publié: (2024)

Hierarchical Time-Aware Mixture of Experts for Multi-Modal Sequential Recommendation
par: Zhang, Shengzhe, et autres
Publié: (2025)

Climber: Toward Efficient Scaling Laws for Large Recommendation Models
par: Xu, Songpei, et autres
Publié: (2025)

Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation
par: Zhang, Dong, et autres
Publié: (2025)