Awesome-Diffusion-for-RecSys

A collection of AWESOME papers on adapting diffusion models to recommender systems.

😄 Please check out our survey paper: A Survey on Diffusion Models for Recommender Systems .

Papers

means the real-world deployment and online A/B test have been reported in the paper.

1. Diffusion for Data Engineering & Encoding

1.1 Data Augmentation

• TabDDPM: Modelling Tabular Data with Diffusion Models. ICML 2023. [Link]
• CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis. ICML 2023. [Link]
• Diffusion Augmentation for Sequential Recommendation. CIKM 2023. [Link]
• Diff4Rec: Sequential Recommendation with Curriculum-scheduled Diffusion Augmentation. MM 2023. [Link]
• Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion. TOIS 2024. [Link]
• Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space. ICLR 2024. [Link]
• Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems. IEEE Access 2024. [Link]
• DiffKG: Knowledge Graph Diffusion Model for Recommendation. WSDM 2024. [Link]
• Plug-in Diffusion Model for Sequential Recommendation. AAAI 2024. [Link]
• ToDA: Target-oriented Diffusion Attacker against Recommendation System. Arxiv 2024. [Link]
• Diffusion-based Contrastive Learning for Sequential Recommendation. Arxiv 2024. [Link]
• DiffMM: Multi-Modal Diffusion Model for Recommendation. MM 2024. [Link]
• Diffusion Models for Tabular Data Imputation and Synthetic Data Generation. Arxiv 2024. [Link]
• DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation. KSEM 2024. [Link]
• SeeDRec: Sememe-based Diffusion for Sequential Recommendation. IJCAI 2024. [Link]
• Federated Recommender System Based on Diffusion Augmentation and Guided Denoising. TOIS 2024. [Link]
• SimDiff: Simple Denoising Probabilistic Latent Diffusion Model for Data Augmentation on Multi-modal Knowledge Graph. KDD 2024. [Link]
• Diffusion Models for Tabular Data Imputation and Synthetic Data Generation. Arxiv 2024. [Link]

1.2 Representation Enhancement

• Denoising Diffusion Recommender Model. SIGIR 2024. [Link]
• A Directional Diffusion Graph Transformer for Recommendation. sigir 2024. [Link]
• Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. WSDM 2024. [Link]
• Multimodal Conditioned Diffusion Model for Recommendation. www 2024. [Link]
• Multi-Interest Network with Simple Diffusion for Multi-Behavior Sequential Recommendation. SDM 2024. [Link]
• Diffusion Review-Based Recommendation. KSEM 2024. [Link]
• Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation. Arxiv 2024. [Link]
• Diff-DGMN: A Diffusion-Based Dual Graph Multi-Attention Network for POI Recommendation. IEEE Internet of Things Journal 2024. [Link]
• Stochastic Sampling for Contrastive Views and Hard Negative Samples in Graph-based Collaborative Filtering. Arxiv 2024. [Link]

2. Diffusion as Recommender Models

2.1 Collaborative Recommendation

• Recommendation via collaborative diffusion generative model. KSEM 2022. [Link]
• Diffusion Recommender Model. SIGIR 2023. [Link]
• Blurring-Sharpening Process Models for Collaborative Filtering. SIGIR 2023. [Link]
• An Explainable Recommendation Method based on Diffusion Model. BigDIA 2023. [Link]
• RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation. Arxiv 2023. [Link]
• Graph Signal Diffusion Model for Collaborative Filtering. SIGIR 2024. [Link]
• Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity. SIGIR 2024. [Link]
• DGRM: Diffusion-GAN recommendation model to alleviate the mode collapse problem in sparse environments. Pattern Recognition 2024. [Link]

2.2 Context-aware Recommendation

• Diffurec: A diffusion model for sequential recommendation. TOIS 2023. [Link]
• Sequential recommendation with diffusion models. Arxiv 2023. [Link]
• Conditional denoising diffusion for sequential recommendation. PAKDD 2024. [Link]
• LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation. Arxiv 2023. [Link]
• Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. NIPS 2023. [Link]
• A Diffusion Model for POI Recommendation. TOIS 2023. [Link]
• Diffusion Recommendation with Implicit Sequence Influence. WWW 2024. [Link]
• Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations. KDD 2024. [Link]
• Balancing User Preferences by Social Networks: A Condition-Guided Social Recommendation Model for Mitigating Popularity Bias. Arxiv 2024. [Link]
• RecDiff: Diffusion Model for Social Recommendation. Arxiv 2024. [[Link]](RecDiff: Diffusion Model for Social Recommendation)
• LeadRec: Towards Personalized Sequential Recommendation via Guided Diffusion. ICIC 2024. [Link]
• DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. Arxiv 2024. [Link]
• DSDRec: Next POI recommendation using deep semantic extraction and diffusion model. Information Sciences 2024. [Link]

2.3 Other Applications

• Discrete Conditional Diffusion for Reranking in Recommendation. WWW 2024. [Link]
• Diffusion Cross-domain Recommendation. Arxiv 2024. [Link]
• AIGB: Generative Auto-bidding via Diffusion Modeling. KDD 2024. [Link]
• Diffusion Model for Slate Recommendation. Arxiv 2024. [Link]

3. Diffusion for Content Presentation

3.1 Fashion Generation

• Diffusion Models for Generative Outfit Recommendation. SIGIR 2024. [Link]

3.2 Ad Creative Generation

• AdBooster: Personalized Ad Creative Generation using Stable Diffusion Outpainting. Fashion@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]

3.3 General Content Generation

• Generative Recommendation: Towards Next-generation Recommender Paradigm. Arxiv 2024. [Link]
• PMG : Personalized Multimodal Generation with Large Language Models. WWW 2024. [Link]
• MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation. ECIR 2024. [Link]