A survey of diffusion models in recommendation systems.
Detailed information can be found in our survey paper accepted by ACM TORS.
@article{wei2026diffusion,
title={Diffusion models in recommendation systems: A survey},
author={Wei, Ting-Ruen and Fang, Yi},
journal={ACM Transactions on Recommender Systems},
publisher={ACM New York, NY}
}
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Blurring-sharpening process models for collaborative filtering | SIGIR 2023 | ![]() | Link |
| Incorporating Classifier-Free Guidance in Diffusion Model-Based Recommendation | Arxiv 2024 | ![]() | Link |
| Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity | SIGIR 2024 | ![]() | Link |
| Recommendation via collaborative diffusion generative model | KSEM 2022 | Link | |
| Denoising diffusion recommender model | SIGIR 2024 | ![]() | Link |
| A Directional Diffusion Graph Transformer for Recommendation | Arxiv 2024 | ![]() | Link |
| Diffusion recommender model | SIGIR 2023 | ![]() | Link |
| Recfusion: A binomial diffusion process for 1d data for recommendation | Arxiv 2023 | ![]() | Link |
| SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation | WSDM 2025 | ![]() | Link |
| Effects of Using Synthetic Data on Deep Recommender Models' Performance | Arxiv 2024 | ![]() | Link |
| GDDRec: graph neural diffusion model for diversified recommendation | KIS 2025 | ![]() | Link |
| Collaborative Diffusion Model for Recommender System | WWW 2025 | ![]() | Link |
| Hyperbolic Diffusion Recommender Model | WWW 2025 | ![]() | Link |
| Conditional diffusion model for recommender systems | NN 2025 | ![]() | Link |
| Generative Recommendation with Continuous-Token Diffusion | Arxiv 2025 | ![]() | Link |
| Diffusion Model as a Base for Cold Item Recommendation | Applied Sciences 2025 | ![]() | Link |
| Diff-GNDCRec: A diffusion model with graph-node enhancement and difference comparison for recommendation | IPM 2025 | Link | |
| A Diffusion Model with User Preference Guidance for Recommendation | DASFAA 2024 | Link | |
| Graph-based Diffusion Model for Collaborative Filtering | Arxiv 2025 | ![]() | Link |
| DiffGCL: Diffusion model-based Graph Contrastive Learning for Service Recommendation | ICWS 2024 | ![]() | Link |
| Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts | Arxiv 2025 | ![]() | Link |
| DiffGraph: Heterogeneous Graph Diffusion Model | WSDM 2025 | ![]() | Link |
| Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation | Arxiv 2025 | ![]() | Link |
| DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs | ECIR 2025 | Link | |
| GGDHSCL: A Graph Generative Diffusion With Hard Negative Sampling Contrastive Learning Recommendation Method | TCSS 2025 | ![]() | Link |
| Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation | WWW 2025 | ![]() | Link |
| Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling | AAAI 2025 | ![]() | Link |
| Interest-Aware Graph Contrastive Learning for Recommendation with Diffusion-based Augmentation | TKDE 2025 | ![]() | Link |
| Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation | AAAI 2026 | ![]() | Link |
| GDiffMAE: Guided Diffusion Enhanced Mask Graph AutoEncoder for Recommendation | TKDE 2025 | ![]() | Link |
| DiffMSR: a Multi-Semantic Graph Diffusion Model for Service Recommendation | TSC 2025 | ![]() | Link |
| Hierarchical graph contrastive learning with diffusion-enhanced for multi-behavior recommendation | IPM 2026 | Link | |
| Dual-view collaboration fusion on diffusion learning for bundle recommendation | Info Fusion 2025 | Link | |
| Diffusion-Augmented Hierarchical Graph Convolutional Network for Multi-behavior Recommendation | ADMA 2025 | Link | |
| DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion | Arvix 2025 | ![]() | Link |
| Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation | NeurIPS 2025 | ![]() | Link |
| HierDiffuse: Progressive Diffusion for Robust Interest Fusion in CTR Prediction | EMNLP 2025 | ![]() | Link |
| ConDiff: Conditional graph diffusion model for recommendation | IPM 2026 | ![]() | Link |
| Causal variational inference for deconfounded multi-behavior recommendation | TOIS 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| DGRM: Diffusion-GAN recommendation model to alleviate the mode collapse problem in sparse environments | Pattern Recognition 2024 | Link | |
| EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs | Arxiv 2024 | ![]() | Link |
| Differentially Private Recommendation Algorithm based on Diffusion Model and Rényi Similarity | Info Sci 2025 | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation | KSEM 2024 | Link | |
| G-Diff: A Graph-Based Decoding Network for Diffusion Recommender Model | TNNLS 2024 | ![]() | Link |
| Graph Signal Diffusion Model for Collaborative Filtering | SIGIR 2024 | ![]() | Link |
| Disentangled Contrastive Bundle Recommendation with Conditional Diffusion | AAAI 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Diffusion social augmentation for social recommendation | Supercomputing 2025 | ![]() | Link |
| Recdiff: diffusion model for social recommendation | CIKM 2024 | ![]() | Link |
| Score-based generative diffusion models for social recommendations | Arvix 2024 | ![]() | Link |
| Graph diffusive self-supervised learning for social recommendation | SIGIR 2024 | ![]() | Link |
| Dual Graph Denoising Model for Social Recommendation | WWW 2025 | ![]() | Link |
| Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation | WWW 2025 | ![]() | Link |
| A Feature-Weighted Attention Diffusion Model for Social Recommendation | DDCLS 2025 | ![]() | Link |
| Graph Diffusion Social Recommendation | TCE 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Diffkg: Knowledge graph diffusion model for recommendation | WSDM 2024 | ![]() | Link |
| RsDiff: Rational Score baesd Knowledge Graph Diffusion for Recommendation | Info Sci 2025 | Link | |
| DAGR: DyHGSampler and AdaSGC-Based Knowledge Graph Diffusion for Recommendation | ICIC 2025 | Link | |
| TCM-DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation | JIIS 2025 | ![]() | Link |
| DKGM: A diffusion knowledge graph model for medication recommendation leveraging medical and drug information | ICHI 2025 | ![]() | Link |
| Mask diffusion-based contrastive learning for knowledge-aware recommendation | TKDE 2025 | ![]() | Link |
| Knowledge-aware Diffusion-Enhanced Multimedia Recommendation | Multimedia 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Diffusion-based cloud-edge-device collaborative learning for next POI recommendations | KDD 2024 | ![]() | Link |
| Diff-DGMN: A Diffusion-Based Dual Graph Multi-Attention Network for POI Recommendation | IoT 2024 | ![]() | Link |
| A diffusion model for poi recommendation | TOIS 2023 | ![]() | Link |
| DSDRec: Next POI recommendation using deep semantic extraction and diffusion model | Info Sci 2024 | Link | |
| HGDRec: Next poi recommendation based on hypergraph neural network and diffusion model | TSC 2025 | ![]() | Link |
| DMSDRec: Dynamic Structure-aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation | TSC 2025 | ![]() | Link |
| Bridging User Dynamic Preferences: A Unified Bridge-based Diffusion Model for Next POI Recommendation | Big Data 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning | CIKM 2024 | ![]() | Link |
| Dual Conditional Diffusion Models for Sequential Recommendation | Arxiv 2024 | ![]() | Link |
| Semantic-Aware Diffusion Model for Sequential Recommendation | Open Review 2024 | ![]() | Link |
| Diffusion Model for Interest Refinement in Multi-Interest Recommendation | Arxiv 2025 | ![]() | Link |
| Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach | Arxiv 2025 | ![]() | Link |
| Enhancing Sequential Recommendation with Global Diffusion | AAAI 2025 | ![]() | Link |
| Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation | SIGIR 2025 | ![]() | Link |
| Diffusion augmentation for sequential recommendation | CIKM 2023 | ![]() | Link |
| Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation | CIKM 2025 | ![]() | Link |
| DMMD4SR: Diffusion Model-based Multi-level Multimodal Denoising for Sequential Recommendation | MM 2025 | ![]() | Link |
| Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising | SIGIR 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Discrete conditional diffusion for reranking in recommendation | WWW 2024 | ![]() | Link |
| Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model | NeurIPS 2024 | ![]() | Link |
| A Diffusion Data Enhancement Retentive Model for Sequential Recommendation | CISAT 2024 | ![]() | Link |
| Diff4rec: Sequential recommendation with curriculum-scheduled diffusion augmentation | MM 2023 | ![]() | Link |
| Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation | SDM 2024 | ![]() | Link |
| Plug-in diffusion model for sequential recommendation | AAAI 2024 | ![]() | Link |
| SeeDRec: Sememe-based Diffusion for Sequential Recommendation | IJCAI 2024 | ![]() | Link |
| Bridging User Dynamics: Transforming Sequential Recommendations with Schr{"o}dinger Bridge and Diffusion Models | CIKM 2024 | ![]() | Link |
| Context-Aware Diffusion-based Sequential Recommendation | BigData 2024 | ![]() | Link |
| DiffGCA: A Diffusion Recommendation Model with Global Attention Mechanism | DSIT 2025 | ![]() | Link |
| When Feature Encoder Meets Diffusion Model for Sequential Recommendations | Info Sci 2025 | Link | |
| EDiffuRec: An Enhanced Diffusion Model for Sequential Recommendation | Mathematics 2024 | ![]() | Link |
| Similarity-Guided Diffusion for Contrastive Sequential Recommendation | Arxiv 2025 | ![]() | Link |
| DiffusionGS: Generative Search with Query Conditioned Diffusion in Kuaishou | Arxiv 2025 | ![]() | Link |
| Fusion of diffusion models and intent learning in sequential recommendation | JIIS 2025 | ![]() | Link |
| Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction | RecSys 2025 | ![]() | Link |
| Time-Weighted Diffusion Model for Enhanced Sequential Recommendations | DDCLS 2025 | Link | |
| Unconditional Diffusion for Generative Sequential Recommendation | Arxiv 2025 | ![]() | Link |
| Adaptive User Interest Modeling via Conditioned Denoising Diffusion For Click-Through Rate Prediction | Arxiv 2025 | ![]() | Link |
| DiffSBR: A diffusion model for session-based recommendation | IPM 2026 | Link | |
| Multi-source information diffusion model for conversation recommender system | Evolving Systems 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Conditional denoising diffusion for sequential recommendation | PAKDD 2024 | ![]() | Link |
| Sequential recommendation with diffusion models | Arxiv 2023 | ![]() | Link |
| Diffusion Recommendation with Implicit Sequence Influence | WWW 2024 | ![]() | Link |
| Diffurec: A diffusion model for sequential recommendation | TOIS 2023 | ![]() | Link |
| DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models | WSDM 2025 | ![]() | Link |
| Generate what you prefer: Reshaping sequential recommendation via guided diffusion | NeurIPS 2024 | ![]() | Link |
| Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation | Arxiv 2024 | ![]() | Link |
| Implicit local-global feature extraction for diffusion sequence recommendation | EAAI 2025 | Link | |
| LeadRec: Towards Personalized Sequential Recommendation via Guided Diffusion | ICIC 2024 | Link | |
| Preference Diffusion for Recommendation | Arxiv 2024 | ![]() | Link |
| Generative Diffusion Models for Sequential Recommendations | Recsys 2024 | ![]() | Link |
| Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion | AAAI 2025 | ![]() | Link |
| Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching | WWW 2025 | ![]() | Link |
| Distinguished quantized guidance for diffusion-based sequence recommendation | WWW 2025 | ![]() | Link |
| Addressing Missing Data Issue for Diffusion-based Recommendation | Arxiv 2025 | ![]() | Link |
| Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation | AAAI 2025 | ![]() | Link |
| Why Generate When You Can Transform? Unleashing Generative Attention for Dynamic Recommendation | MM 2025 | ![]() | Link |
| Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation | SIGIR 2025 | ![]() | Link |
| On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders | NeurIPS 2025 | ![]() | Link |
| Unleashing the potential of diffusion models towards diversified sequential recommendations | SIGIR 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting | Recsys 2023 | ![]() | Link |
| A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model | WWW 2024 | ![]() | Link |
| Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce | Recsys 2024 | ![]() | Link |
| Diffusion Models for Generative Outfit Recommendation | SIGIR 2024 | ![]() | Link |
| GEMRec: Towards Generative Model Recommendation | WSDM 2024 | ![]() | Link |
| Recommendations Beyond Catalogs: Diffusion Models for Personalized Generation | Arxiv 2025 | ![]() | Link |
| CTR-Driven Advertising Image Generation with Multimodal Large Language Models | WWW 2025 | ![]() | Link |
| Virtualmodel: Generating object-id-retentive human-object interaction image by diffusion model for e-commerce marketing | Arxiv 2024 | ![]() | Link |
| Planning and rendering: Towards product poster generation with diffusion models | Arxiv 2023 | ![]() | Link |
| Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items | KDD 2026 | ![]() | Link |
| Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners | KDD 2024 | Link | |
| Personalized image generation with large multimodal models | WWW 2025 | ![]() | Link |
| RAGAR: Retrieval Augment Personalized Image Generation Guided by Recommendation | Arxiv 2025 | ![]() | Link |
| MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation | ECIR 2024 | Link | |
| Pmg: Personalized multimodal generation with large language models | WWW 2024 | ![]() | Link |
| Generative recommendation: Towards next-generation recommender paradigm | Arxiv 2023 | ![]() | Link |
| Cross-Cultural Fashion Design via Interactive Large Language Models and Diffusion Models | Arxiv 2025 | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Diffusion Model for Slate Recommendation | Arxiv 2024 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| DiffMM: Multi-Modal Diffusion Model for Recommendation | MM 2024 | ![]() | Link |
| LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation | Arxiv 2023 | ![]() | Link |
| Multimodal Conditioned Diffusion Model for Recommendation | WWW 2024 | ![]() | Link |
| Diffusion Review-Based Recommendation | KSEM 2024 | Link | |
| DiffCL: A Diffusion-Based Contrastive Learning Framework with Semantic Alignment for Multimodal Recommendations | Arxiv 2025 | ![]() | Link |
| Curriculum Conditioned Diffusion for Multimodal Recommendation | AAAI 2025 | ![]() | Link |
| DiffKD: collaborative graph diffusion with knowledge distillation for multimodal recommendation | JIIS 2025 | ![]() | Link |
| ITCoHD-MRec: An Independent Topological Preference Aware and Cooperative Hypergraph Diffusion based Multimodal Recommender Model | TOIS 2025 | ![]() | Link |
| MDSBR: Multimodal Denoising for Session-based Recommendation | RecSys 2025 | ![]() | Link |
| Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation | SIGIR 2025 | ![]() | Link |
| Generating with fairness: A modality-diffused counterfactual framework for incomplete multimodal recommendations | WWW 2025 | ![]() | Link |
| Flip is Better than Noise: Unbiased Interest Generation for Multimedia Recommendation | MM 2025 | ![]() | Link |
| Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation | MM 2025 | ![]() | Link |
| Diffusion-based multi-modal synergy interest network for click-through rate prediction | SIGIR 2025 | ![]() | Link |
| Dual-layer cross-modal alignment recommendation based on the diffusion model | Info Fusion 2026 | Link | |
| Asymmetric Diffusion Recommendation Model | CIKM 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Diffusion Cross-domain Recommendation | Arxiv 2024 | ![]() | Link |
| Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation | WSDM 2024 | ![]() | Link |
| Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation | KDD 2025 | ![]() | Link |
| LLM-Grounded Diffusion for Cross-Domain Recommendation | MM 2025 | ![]() | Link |
| Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation | Arxiv 2025 | ![]() | Link |
| Diffusion Alignment for Cross Domain Recommendation | ICMR 2025 | ![]() | Link |
| CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation | SIGIR 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias | NN 2025 | ![]() | Link |
| Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences | Arxiv 2024 | ![]() | Link |
| Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation | Arxiv 2024 | ![]() | Link |
| DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model | Arxiv 2024 | ![]() | Link |
| How Fair is Your Diffusion Recommender Model? | Arxiv 2024 | ![]() | Link |
| Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations | SIGIR 2025 | ![]() | Link |
| FairCDR: transferring fairness and user preferences for cross-domain recommendation | KDD 2025 | ![]() | Link |
| Adversarial regularized diffusion model for fair recommendation | NN 2025 | Link | |
| Alleviating User-Sensitive Bias with Fair Generative Sequential Recommendation Model | ICIC 2025 | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures | TOIS 2023 | ![]() | Link |
| Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion | TOIS 2024 | ![]() | Link |
| Generating Model Parameters for Controlling: Parameter Diffusion for Controllable Multi-Task Recommendation | Arxiv 2024 | ![]() | Link |
| Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems | Access 2024 | ![]() | Link |
| ToDA: Target-oriented Diffusion Attacker against Recommendation System | Arxiv 2024 | ![]() | Link |
| Federated Recommender System Based on Diffusion Augmentation and Guided Denoising | TOIS 2024 | ![]() | Link |
| Latent diffusion model-based data poisoning attack against QoS-aware cloud API recommender system | Computer Networks 2025 | Link | |
| FedDiffRec: A Module-wise Training Approach for Diffusion-Based Recommendation in Federated Learning | ICASSP 2025 | ![]() | Link |
| An Adversarial Model with Diffusion for Robust Recommendation against Shilling Attack | SAC 2025 | ![]() | Link |
| Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion | Arxiv 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| An Explainable Recommendation Method based on Diffusion Model | BigDIA 2023 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation | WWW 2025 | ![]() | Link |
| Distributionally robust graph out-of-distribution recommendation via diffusion model | WWW 2025 | ![]() | Link |
| A Distributed Robust Out-of-Distribution Consumer Recommendation System Using Diffusion Model | TCE 2025 | Link | |
| Causal Negative Sampling via Diffusion Model for Out-of-Distribution Recommendation | Arxiv 2025 | ![]() | Link |
A survey of diffusion models in recommendation systems.
Detailed information can be found in our survey paper accepted by ACM TORS.
@article{wei2026diffusion,
title={Diffusion models in recommendation systems: A survey},
author={Wei, Ting-Ruen and Fang, Yi},
journal={ACM Transactions on Recommender Systems},
publisher={ACM New York, NY}
}
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Blurring-sharpening process models for collaborative filtering | SIGIR 2023 | ![]() | Link |
| Incorporating Classifier-Free Guidance in Diffusion Model-Based Recommendation | Arxiv 2024 | ![]() | Link |
| Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity | SIGIR 2024 | ![]() | Link |
| Recommendation via collaborative diffusion generative model | KSEM 2022 | Link | |
| Denoising diffusion recommender model | SIGIR 2024 | ![]() | Link |
| A Directional Diffusion Graph Transformer for Recommendation | Arxiv 2024 | ![]() | Link |
| Diffusion recommender model | SIGIR 2023 | ![]() | Link |
| Recfusion: A binomial diffusion process for 1d data for recommendation | Arxiv 2023 | ![]() | Link |
| SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation | WSDM 2025 | ![]() | Link |
| Effects of Using Synthetic Data on Deep Recommender Models' Performance | Arxiv 2024 | ![]() | Link |
| GDDRec: graph neural diffusion model for diversified recommendation | KIS 2025 | ![]() | Link |
| Collaborative Diffusion Model for Recommender System | WWW 2025 | ![]() | Link |
| Hyperbolic Diffusion Recommender Model | WWW 2025 | ![]() | Link |
| Conditional diffusion model for recommender systems | NN 2025 | ![]() | Link |
| Generative Recommendation with Continuous-Token Diffusion | Arxiv 2025 | ![]() | Link |
| Diffusion Model as a Base for Cold Item Recommendation | Applied Sciences 2025 | ![]() | Link |
| Diff-GNDCRec: A diffusion model with graph-node enhancement and difference comparison for recommendation | IPM 2025 | Link | |
| A Diffusion Model with User Preference Guidance for Recommendation | DASFAA 2024 | Link | |
| Graph-based Diffusion Model for Collaborative Filtering | Arxiv 2025 | ![]() | Link |
| DiffGCL: Diffusion model-based Graph Contrastive Learning for Service Recommendation | ICWS 2024 | ![]() | Link |
| Divide-and-Conquer: Cold-Start Bundle Recommendation via Mixture of Diffusion Experts | Arxiv 2025 | ![]() | Link |
| DiffGraph: Heterogeneous Graph Diffusion Model | WSDM 2025 | ![]() | Link |
| Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation | Arxiv 2025 | ![]() | Link |
| DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs | ECIR 2025 | Link | |
| GGDHSCL: A Graph Generative Diffusion With Hard Negative Sampling Contrastive Learning Recommendation Method | TCSS 2025 | ![]() | Link |
| Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation | WWW 2025 | ![]() | Link |
| Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling | AAAI 2025 | ![]() | Link |
| Interest-Aware Graph Contrastive Learning for Recommendation with Diffusion-based Augmentation | TKDE 2025 | ![]() | Link |
| Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation | AAAI 2026 | ![]() | Link |
| GDiffMAE: Guided Diffusion Enhanced Mask Graph AutoEncoder for Recommendation | TKDE 2025 | ![]() | Link |
| DiffMSR: a Multi-Semantic Graph Diffusion Model for Service Recommendation | TSC 2025 | ![]() | Link |
| Hierarchical graph contrastive learning with diffusion-enhanced for multi-behavior recommendation | IPM 2026 | Link | |
| Dual-view collaboration fusion on diffusion learning for bundle recommendation | Info Fusion 2025 | Link | |
| Diffusion-Augmented Hierarchical Graph Convolutional Network for Multi-behavior Recommendation | ADMA 2025 | Link | |
| DGenCTR: Towards a Universal Generative Paradigm for Click-Through Rate Prediction via Discrete Diffusion | Arvix 2025 | ![]() | Link |
| Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation | NeurIPS 2025 | ![]() | Link |
| HierDiffuse: Progressive Diffusion for Robust Interest Fusion in CTR Prediction | EMNLP 2025 | ![]() | Link |
| ConDiff: Conditional graph diffusion model for recommendation | IPM 2026 | ![]() | Link |
| Causal variational inference for deconfounded multi-behavior recommendation | TOIS 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| DGRM: Diffusion-GAN recommendation model to alleviate the mode collapse problem in sparse environments | Pattern Recognition 2024 | Link | |
| EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs | Arxiv 2024 | ![]() | Link |
| Differentially Private Recommendation Algorithm based on Diffusion Model and Rényi Similarity | Info Sci 2025 | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation | KSEM 2024 | Link | |
| G-Diff: A Graph-Based Decoding Network for Diffusion Recommender Model | TNNLS 2024 | ![]() | Link |
| Graph Signal Diffusion Model for Collaborative Filtering | SIGIR 2024 | ![]() | Link |
| Disentangled Contrastive Bundle Recommendation with Conditional Diffusion | AAAI 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Diffusion social augmentation for social recommendation | Supercomputing 2025 | ![]() | Link |
| Recdiff: diffusion model for social recommendation | CIKM 2024 | ![]() | Link |
| Score-based generative diffusion models for social recommendations | Arvix 2024 | ![]() | Link |
| Graph diffusive self-supervised learning for social recommendation | SIGIR 2024 | ![]() | Link |
| Dual Graph Denoising Model for Social Recommendation | WWW 2025 | ![]() | Link |
| Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation | WWW 2025 | ![]() | Link |
| A Feature-Weighted Attention Diffusion Model for Social Recommendation | DDCLS 2025 | ![]() | Link |
| Graph Diffusion Social Recommendation | TCE 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Diffkg: Knowledge graph diffusion model for recommendation | WSDM 2024 | ![]() | Link |
| RsDiff: Rational Score baesd Knowledge Graph Diffusion for Recommendation | Info Sci 2025 | Link | |
| DAGR: DyHGSampler and AdaSGC-Based Knowledge Graph Diffusion for Recommendation | ICIC 2025 | Link | |
| TCM-DiffPR: knowledge graph diffusion model for personalized traditional Chinese medicine recommendation | JIIS 2025 | ![]() | Link |
| DKGM: A diffusion knowledge graph model for medication recommendation leveraging medical and drug information | ICHI 2025 | ![]() | Link |
| Mask diffusion-based contrastive learning for knowledge-aware recommendation | TKDE 2025 | ![]() | Link |
| Knowledge-aware Diffusion-Enhanced Multimedia Recommendation | Multimedia 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Diffusion-based cloud-edge-device collaborative learning for next POI recommendations | KDD 2024 | ![]() | Link |
| Diff-DGMN: A Diffusion-Based Dual Graph Multi-Attention Network for POI Recommendation | IoT 2024 | ![]() | Link |
| A diffusion model for poi recommendation | TOIS 2023 | ![]() | Link |
| DSDRec: Next POI recommendation using deep semantic extraction and diffusion model | Info Sci 2024 | Link | |
| HGDRec: Next poi recommendation based on hypergraph neural network and diffusion model | TSC 2025 | ![]() | Link |
| DMSDRec: Dynamic Structure-aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation | TSC 2025 | ![]() | Link |
| Bridging User Dynamic Preferences: A Unified Bridge-based Diffusion Model for Next POI Recommendation | Big Data 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Context Matters: Enhancing Sequential Recommendation with Context-aware Diffusion-based Contrastive Learning | CIKM 2024 | ![]() | Link |
| Dual Conditional Diffusion Models for Sequential Recommendation | Arxiv 2024 | ![]() | Link |
| Semantic-Aware Diffusion Model for Sequential Recommendation | Open Review 2024 | ![]() | Link |
| Diffusion Model for Interest Refinement in Multi-Interest Recommendation | Arxiv 2025 | ![]() | Link |
| Unlocking the Power of Diffusion Models in Sequential Recommendation: A Simple and Effective Approach | Arxiv 2025 | ![]() | Link |
| Enhancing Sequential Recommendation with Global Diffusion | AAAI 2025 | ![]() | Link |
| Intent-aware Diffusion with Contrastive Learning for Sequential Recommendation | SIGIR 2025 | ![]() | Link |
| Diffusion augmentation for sequential recommendation | CIKM 2023 | ![]() | Link |
| Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation | CIKM 2025 | ![]() | Link |
| DMMD4SR: Diffusion Model-based Multi-level Multimodal Denoising for Sequential Recommendation | MM 2025 | ![]() | Link |
| Multi-Modal Multi-Behavior Sequential Recommendation with Conditional Diffusion-Based Feature Denoising | SIGIR 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Discrete conditional diffusion for reranking in recommendation | WWW 2024 | ![]() | Link |
| Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model | NeurIPS 2024 | ![]() | Link |
| A Diffusion Data Enhancement Retentive Model for Sequential Recommendation | CISAT 2024 | ![]() | Link |
| Diff4rec: Sequential recommendation with curriculum-scheduled diffusion augmentation | MM 2023 | ![]() | Link |
| Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation | SDM 2024 | ![]() | Link |
| Plug-in diffusion model for sequential recommendation | AAAI 2024 | ![]() | Link |
| SeeDRec: Sememe-based Diffusion for Sequential Recommendation | IJCAI 2024 | ![]() | Link |
| Bridging User Dynamics: Transforming Sequential Recommendations with Schr{"o}dinger Bridge and Diffusion Models | CIKM 2024 | ![]() | Link |
| Context-Aware Diffusion-based Sequential Recommendation | BigData 2024 | ![]() | Link |
| DiffGCA: A Diffusion Recommendation Model with Global Attention Mechanism | DSIT 2025 | ![]() | Link |
| When Feature Encoder Meets Diffusion Model for Sequential Recommendations | Info Sci 2025 | Link | |
| EDiffuRec: An Enhanced Diffusion Model for Sequential Recommendation | Mathematics 2024 | ![]() | Link |
| Similarity-Guided Diffusion for Contrastive Sequential Recommendation | Arxiv 2025 | ![]() | Link |
| DiffusionGS: Generative Search with Query Conditioned Diffusion in Kuaishou | Arxiv 2025 | ![]() | Link |
| Fusion of diffusion models and intent learning in sequential recommendation | JIIS 2025 | ![]() | Link |
| Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction | RecSys 2025 | ![]() | Link |
| Time-Weighted Diffusion Model for Enhanced Sequential Recommendations | DDCLS 2025 | Link | |
| Unconditional Diffusion for Generative Sequential Recommendation | Arxiv 2025 | ![]() | Link |
| Adaptive User Interest Modeling via Conditioned Denoising Diffusion For Click-Through Rate Prediction | Arxiv 2025 | ![]() | Link |
| DiffSBR: A diffusion model for session-based recommendation | IPM 2026 | Link | |
| Multi-source information diffusion model for conversation recommender system | Evolving Systems 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Conditional denoising diffusion for sequential recommendation | PAKDD 2024 | ![]() | Link |
| Sequential recommendation with diffusion models | Arxiv 2023 | ![]() | Link |
| Diffusion Recommendation with Implicit Sequence Influence | WWW 2024 | ![]() | Link |
| Diffurec: A diffusion model for sequential recommendation | TOIS 2023 | ![]() | Link |
| DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models | WSDM 2025 | ![]() | Link |
| Generate what you prefer: Reshaping sequential recommendation via guided diffusion | NeurIPS 2024 | ![]() | Link |
| Generate and Instantiate What You Prefer: Text-Guided Diffusion for Sequential Recommendation | Arxiv 2024 | ![]() | Link |
| Implicit local-global feature extraction for diffusion sequence recommendation | EAAI 2025 | Link | |
| LeadRec: Towards Personalized Sequential Recommendation via Guided Diffusion | ICIC 2024 | Link | |
| Preference Diffusion for Recommendation | Arxiv 2024 | ![]() | Link |
| Generative Diffusion Models for Sequential Recommendations | Recsys 2024 | ![]() | Link |
| Learning Multiple User Distributions for Recommendation via Guided Conditional Diffusion | AAAI 2025 | ![]() | Link |
| Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching | WWW 2025 | ![]() | Link |
| Distinguished quantized guidance for diffusion-based sequence recommendation | WWW 2025 | ![]() | Link |
| Addressing Missing Data Issue for Diffusion-based Recommendation | Arxiv 2025 | ![]() | Link |
| Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation | AAAI 2025 | ![]() | Link |
| Why Generate When You Can Transform? Unleashing Generative Attention for Dynamic Recommendation | MM 2025 | ![]() | Link |
| Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation | SIGIR 2025 | ![]() | Link |
| On Efficiency-Effectiveness Trade-off of Diffusion-based Recommenders | NeurIPS 2025 | ![]() | Link |
| Unleashing the potential of diffusion models towards diversified sequential recommendations | SIGIR 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting | Recsys 2023 | ![]() | Link |
| A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model | WWW 2024 | ![]() | Link |
| Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerce | Recsys 2024 | ![]() | Link |
| Diffusion Models for Generative Outfit Recommendation | SIGIR 2024 | ![]() | Link |
| GEMRec: Towards Generative Model Recommendation | WSDM 2024 | ![]() | Link |
| Recommendations Beyond Catalogs: Diffusion Models for Personalized Generation | Arxiv 2025 | ![]() | Link |
| CTR-Driven Advertising Image Generation with Multimodal Large Language Models | WWW 2025 | ![]() | Link |
| Virtualmodel: Generating object-id-retentive human-object interaction image by diffusion model for e-commerce marketing | Arxiv 2024 | ![]() | Link |
| Planning and rendering: Towards product poster generation with diffusion models | Arxiv 2023 | ![]() | Link |
| Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items | KDD 2026 | ![]() | Link |
| Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners | KDD 2024 | Link | |
| Personalized image generation with large multimodal models | WWW 2025 | ![]() | Link |
| RAGAR: Retrieval Augment Personalized Image Generation Guided by Recommendation | Arxiv 2025 | ![]() | Link |
| MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation | ECIR 2024 | Link | |
| Pmg: Personalized multimodal generation with large language models | WWW 2024 | ![]() | Link |
| Generative recommendation: Towards next-generation recommender paradigm | Arxiv 2023 | ![]() | Link |
| Cross-Cultural Fashion Design via Interactive Large Language Models and Diffusion Models | Arxiv 2025 | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Diffusion Model for Slate Recommendation | Arxiv 2024 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| DiffMM: Multi-Modal Diffusion Model for Recommendation | MM 2024 | ![]() | Link |
| LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation | Arxiv 2023 | ![]() | Link |
| Multimodal Conditioned Diffusion Model for Recommendation | WWW 2024 | ![]() | Link |
| Diffusion Review-Based Recommendation | KSEM 2024 | Link | |
| DiffCL: A Diffusion-Based Contrastive Learning Framework with Semantic Alignment for Multimodal Recommendations | Arxiv 2025 | ![]() | Link |
| Curriculum Conditioned Diffusion for Multimodal Recommendation | AAAI 2025 | ![]() | Link |
| DiffKD: collaborative graph diffusion with knowledge distillation for multimodal recommendation | JIIS 2025 | ![]() | Link |
| ITCoHD-MRec: An Independent Topological Preference Aware and Cooperative Hypergraph Diffusion based Multimodal Recommender Model | TOIS 2025 | ![]() | Link |
| MDSBR: Multimodal Denoising for Session-based Recommendation | RecSys 2025 | ![]() | Link |
| Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation | SIGIR 2025 | ![]() | Link |
| Generating with fairness: A modality-diffused counterfactual framework for incomplete multimodal recommendations | WWW 2025 | ![]() | Link |
| Flip is Better than Noise: Unbiased Interest Generation for Multimedia Recommendation | MM 2025 | ![]() | Link |
| Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation | MM 2025 | ![]() | Link |
| Diffusion-based multi-modal synergy interest network for click-through rate prediction | SIGIR 2025 | ![]() | Link |
| Dual-layer cross-modal alignment recommendation based on the diffusion model | Info Fusion 2026 | Link | |
| Asymmetric Diffusion Recommendation Model | CIKM 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Diffusion Cross-domain Recommendation | Arxiv 2024 | ![]() | Link |
| Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation | WSDM 2024 | ![]() | Link |
| Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation | KDD 2025 | ![]() | Link |
| LLM-Grounded Diffusion for Cross-Domain Recommendation | MM 2025 | ![]() | Link |
| Align-for-Fusion: Harmonizing Triple Preferences via Dual-oriented Diffusion for Cross-domain Sequential Recommendation | Arxiv 2025 | ![]() | Link |
| Diffusion Alignment for Cross Domain Recommendation | ICMR 2025 | ![]() | Link |
| CD-CDR: Conditional Diffusion-based Item Generation for Cross-Domain Recommendation | SIGIR 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias | NN 2025 | ![]() | Link |
| Controlling Diversity at Inference: Guiding Diffusion Recommender Models with Targeted Category Preferences | Arxiv 2024 | ![]() | Link |
| Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation | Arxiv 2024 | ![]() | Link |
| DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model | Arxiv 2024 | ![]() | Link |
| How Fair is Your Diffusion Recommender Model? | Arxiv 2024 | ![]() | Link |
| Bridging Interests and Truth: Towards Mitigating Fake News with Personalized and Truthful Recommendations | SIGIR 2025 | ![]() | Link |
| FairCDR: transferring fairness and user preferences for cross-domain recommendation | KDD 2025 | ![]() | Link |
| Adversarial regularized diffusion model for fair recommendation | NN 2025 | Link | |
| Alleviating User-Sensitive Bias with Fair Generative Sequential Recommendation Model | ICIC 2025 | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures | TOIS 2023 | ![]() | Link |
| Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion | TOIS 2024 | ![]() | Link |
| Generating Model Parameters for Controlling: Parameter Diffusion for Controllable Multi-Task Recommendation | Arxiv 2024 | ![]() | Link |
| Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems | Access 2024 | ![]() | Link |
| ToDA: Target-oriented Diffusion Attacker against Recommendation System | Arxiv 2024 | ![]() | Link |
| Federated Recommender System Based on Diffusion Augmentation and Guided Denoising | TOIS 2024 | ![]() | Link |
| Latent diffusion model-based data poisoning attack against QoS-aware cloud API recommender system | Computer Networks 2025 | Link | |
| FedDiffRec: A Module-wise Training Approach for Diffusion-Based Recommendation in Federated Learning | ICASSP 2025 | ![]() | Link |
| An Adversarial Model with Diffusion for Robust Recommendation against Shilling Attack | SAC 2025 | ![]() | Link |
| Controllable and Stealthy Shilling Attacks via Dispersive Latent Diffusion | Arxiv 2025 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| An Explainable Recommendation Method based on Diffusion Model | BigDIA 2023 | ![]() | Link |
| Title | Venue | Main Image | Paper |
|---|---|---|---|
| Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation | WWW 2025 | ![]() | Link |
| Distributionally robust graph out-of-distribution recommendation via diffusion model | WWW 2025 | ![]() | Link |
| A Distributed Robust Out-of-Distribution Consumer Recommendation System Using Diffusion Model | TCE 2025 | Link | |
| Causal Negative Sampling via Diffusion Model for Out-of-Distribution Recommendation | Arxiv 2025 | ![]() | Link |