This repository collects the latest research progress of Contrastive Learning (CL) and Data Augmentation (DA) in Recommender Systems. Comments and contributions are welcome.
CF = Collaborative Filtering, SSL = Self-Supervised Learning
- Survey/Tutorial Total Papers: 4
- Only Data Augmentation Total Papers: 17
- Graph Models with CL Total Papers: 38
- Sequential Models with CL Total Papers: 57
- Other Tasks with CL Total Papers: 39
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Contrastive Self-supervised Learning in Recommender Systems: A Survey (Survey)
arXiv 2023, [PDF]
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Self-Supervised Learning for Recommender Systems A Survey (Survey)
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Self-Supervised Learning in Recommendation: Fundamentals and Advances (Tutorial)
WWW 2022, [Web]
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Tutorial: Self-Supervised Learning for Recommendation: Foundations, Methods and Prospects (Tutorial)
DASFAA 2023, [Web]
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Enhancing Collaborative Filtering with Generative Augmentation (CF + GAN + DA)
KDD 2019, [PDF]
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Future Data Helps Training Modeling Future Contexts for Session-based Recommendation (Session + DA)
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Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer (Sequential + DA)
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Self-Knowledge Distillation with Bidirectional Chronological Augmentation of Transformer for Sequential Recommendation (Sequential + DA)
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Counterfactual Data-Augmented Sequential Recommendation (Sequential + Counterfactual + DA)
SIGIR 2021, [PDF]
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CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation (Sequential + Counterfactual + DA)
SIGIR 2021, [PDF]
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Explicit Counterfactual Data Augmentation for Recommendation (Sequential + Counterfactual + DA)
WSDM 2023
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Effective and Efficient Training for Sequential Recommendation using Recency Sampling (Sequential + DA)
RecSys 2022, [PDF]
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Data Augmentation Strategies for Improving Sequential Recommender Systems (Sequential + DA)
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Learning to Augment for Casual User Recommendation (Sequential + DA)
WWW 2022, [PDF]
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Recency Dropout for Recurrent Recommender Systems (RNN + DA)
arXiv 2022, [PDF]
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Improved Recurrent Neural Networks for Session-based Recommendations (RNN + DA)
DLRS 2016, [PDF]
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Bootstrapping User and Item Representations for One-Class Collaborative Filtering (CF + Graph + DA)
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MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems (Graph + DA)
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Improving Recommendation Fairness via Data Augmentation (Fairness + DA)
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Fairly Adaptive Negative Sampling for Recommendations (Fairness + DA)
WWW 2023, [PDF]
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Creating Synthetic Datasets for Collaborative Filtering Recommender Systems using Generative Adversarial Networks (CF + DA)
arXiv 2023, [PDF]
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Self-supervised Graph Learning for Recommendation (Graph + CL + DA)
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Contrastive Graph Structure Learning via Information Bottleneck for Recommendation (Graph + CL)
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Are graph augmentations necessary? simple graph contrastive learning for recommendation (Graph + CL)
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XSimGCL: Towards Extremely Simple Graph Contrastive Learning for Recommendation (Graph + CL)
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Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation (Graph + CL + DA)
arXiv 2022, [PDF]
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DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation (POI Rec, Graph + CL + DA)
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An MLP-based Algorithm for Efficient Contrastive Graph Recommendations (Short paper, Graph + CL + DA)
SIGIR 2022, [PDF]
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A Review-aware Graph Contrastive Learning Framework for Recommendation (Graph + CL + DA)
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Simple Yet Effective Graph Contrastive Learning for Recommendation (Graph + CL + DA)
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Contrastive Meta Learning with Behavior Multiplicity for Recommendation (Graph + CL + DA)
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Disentangled Contrastive Learning for Social Recommendation (Short paper, Graph + CL + DA)
CIKM 2022, [PDF]
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Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning (Graph + CL)
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Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System (Graph + CL)
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Knowledge Graph Contrastive Learning for Recommendation (Graph + DA + CL)
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Temporal Knowledge Graph Reasoning with Historical Contrastive Learning (Graph + CL)
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Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation (Graph + SSL)
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SAIL: Self-Augmented Graph Contrastive Learning (Graph + CL)
AAAI 2022, [PDF]
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Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation (Graph + CL)
arXiv 2022, [PDF]
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Socially-Aware Self-Supervised Tri-Training for Recommendation (Graph + CL)
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Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation (Graph + CL)
arXiv 2022, [PDF]
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Multi-Behavior Dynamic Contrastive Learning for Recommendation (Graph + CL)
arXiv 2022, [PDF]
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Self-Augmented Recommendation with Hypergraph Contrastive Collaborative Filtering (Graph + CL)
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Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning (Graph + CF + CL)
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Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation (Graph + CL)
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Hypergraph Contrastive Collaborative Filtering (Graph + CF + CL + DA)
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Graph Structure Aware Contrastive Knowledge Distillation for Incremental Learning in Recommender Systems (Short paper, Graph + CL)
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Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation (Group Rec, Graph + CL + DA)
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Self-Supervised Hypergraph Transformer for Recommender Systems (Graph + SSL)
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Episodes Discovery Recommendation with Multi-Source Augmentations (Graph + DA + CL)
arXiv 2023, [PDF]
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Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation (Graph + Sequential + CL)
TOIS 2023, [PDF]
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Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation (Graph + DA + CL)
DASFAA 2023, [PDF]
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SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation (Graph + CL)
arXiv 2023, [PDF]
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MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning (Graph + DA + CL)
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Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation (Graph + Session + CL)
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Self-Supervised Graph Co-Training for Session-based Recommendation (Graph + Session + CL)
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Heterogeneous Graph Contrastive Learning for Recommendation (Graph + CL)
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Automated Self-Supervised Learning for Recommendation (Graph + DA + CL)
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Graph-less Collaborative Filtering (Graph + CL)
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Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering (Graph + CL) TKDE 2023, [PDF]
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Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation (Sequential + CL + DA)
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Contrastive Learning for Sequential Recommendation (Sequential + CL + DA)
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Contrastive Self-supervised Sequential Recommendation with Robust Augmentation (Sequential + CL + DA)
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Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation (Sequential + CL + DA)
TKDE 2023, [PDF]
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S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization (Sequential + CL + DA)
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Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation (Sequential + CL + DA)
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Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation (Sequential + CL + DA)
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Memory Augmented Multi-Instance Contrastive Predictive Coding for Sequential Recommendation (Sequential + CL + DA)
ICDM 2021, [PDF]
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Contrastive Learning with Bidirectional Transformers for Sequential Recommendation (Sequential + CL + DA)
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ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation (Sequential + CL + DA)
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Temporal Contrastive Pre-Training for Sequential Recommendation (Sequential + CL + DA)
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Multi-level Contrastive Learning Framework for Sequential Recommendation (Graph + Sequential + CL)
CIKM 2022, [PDF]
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Equivariant Contrastive Learning for Sequential Recommendation (Sequential + DA + CL)
arXiv 2022, [PDF]
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Explanation Guided Contrastive Learning for Sequential Recommendation (Sequential + DA + CL)
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Intent Contrastive Learning for Sequential Recommendation (Sequential + DA + CL)
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Dual Contrastive Network for Sequential Recommendation (Short paper, Sequential + CL)
SIGIR 2022, [PDF]
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Dual Contrastive Network for Sequential Recommendation with User and Item-Centric Perspectives (Sequential + CL)
arXiv 2022, [PDF]
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Enhancing Sequential Recommendation with Graph Contrastive Learning (Sequential + Graph + CL + DA)
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Disentangling Long and Short-Term Interests for Recommendation (Sequential + Graph + CL)
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Hyperbolic Hypergraphs for Sequential Recommendation (Sequential + Graph + CL + DA)
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Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation (Sequential + CL)
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Dual-interest Factorization-heads Attention for Sequential Recommendation (Sequential + CL)
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GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation (Sequential + DA + CL)
arXiv 2023, [PDF]
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Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation (Sequential + CL)
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A Self-Correcting Sequential Recommender (Sequential + DA + SSL)
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User Retention-oriented Recommendation with Decision Transformer (Sequential + CL)
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Debiased Contrastive Learning for Sequential Recommendation (Sequential + DA + CL)
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Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders (Sequential + CL)
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Dual-interest Factorization-heads Attention for Sequential Recommendation (Sequential + CL)
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Multimodal Pre-training Framework for Sequential Recommendation via Contrastive Learning (Multi-Modal + Sequential + CL)
arXiv 2023, [PDF]
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Meta-optimized Contrastive Learning for Sequential Recommendation (Sequential + DA + CL)
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Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation (Sequential + DA + CL)
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Frequency Enhanced Hybrid Attention Network for Sequential Recommendation (Sequential + DA + CL)
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Multi-Intention Oriented Contrastive Learning for Sequential Recommendation (Sequential + DA + CL)
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Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation (Sequential + DA + CL)
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A Multi-view Graph Contrastive Learning Framework for Cross-Domain Sequential Recommendation (Sequential + Graph + CL)
Recsys2023, [PDF]
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Contrastive Learning with Frequency Domain for Sequential Recommendation (Sequential + DA + CL)
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DREAM: Decoupled Representation via Extraction Attention Module and Supervised Contrastive Learning for Cross-Domain Sequential Recommender (Sequential + DA + CL)
Recsys2023, [PDF]
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Semantic-enhanced Contrastive Learning for Session-based Recommendation (Sequential + DA + CL)
KBS2023, [PDF]
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Category Enhanced Dual View Contrastive Learning for Session-Based Recommendation (Sequential + DA +CL)
ICANN2023, [PDF]
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Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation (Sequential + Graph + CL)
ICDMW2023, [PDF]
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Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation (Sequential + DA + CL)
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Dual-Scale Interest Extraction Framework with Self-Supervision for Sequential Recommendation (Sequential + Graph + CL)
Arxiv2023, [PDF]
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Noise-Augmented Contrastive Learning for Sequential Recommendation (Sequential + DA + CL)
WISE2023, [PDF]
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Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation (Sequential + DA + CL)
CIKM2023, [PDF]
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Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation (Sequential + DA + CL)
SIGIR2023, [PDF]
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Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation （Sequential + DA + CL）
CIKM2023, [PDF]
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APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation (Sequential + Graph +CL)
CIKM2023, [PDF]
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Sparse Sequential Recommendation with Interactions and Intentions Contrastive Learning (Sequential + DA +CL)
IPCCC2023, [PDF]
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Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation (Sequential + DA +CL)
Arxiv2023, [PDF]
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Teach and Explore: A Multiplex Information-guided Efective and Eficient Reinforcement Learning for Sequential Recommendation (Sequential + Reinforcement Learning + CL)
TOIS2023, [PDF]
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Cracking the Code of Negative Transfer: A Cooperative Game Theoretic Approach for Cross-Domain Sequential Recommendation (Sequential + Cross-Domain + CL)
CIKM2023, [PDF]
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Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation (Sequential + RL + CL)
Arxiv2023, [PDF]
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H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation (Sequential + Graph)
TOIS2023, [PDF]
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Interest Aware Dual-Channel Graph Contrastive Learning for Session-Based Recommendation (Sequential + Graph +CL)
NLPCC2023, [PDF]
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Sequential Recommendation via an Adaptive Cross-domain Knowledge Decomposition (Sequential + Graph + Cross-Domain +CL)
CIKM2023, [PDF]
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Personalized Behavior-Aware Transformer for Multi-Behavior Sequential Recommendation (Sequential + Multi-Behavior)
MM2023, [PDF]
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Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation (Sequential + Graph +CL)
ACM2023, [PDF]
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CL4CTR: A Contrastive Learning Framework for CTR Prediction (CTR + CL)
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CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation (Micro-video + CL)
arXiv 2022, [PDF]
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Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation (Multi-interest + CL)
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Interventional Recommendation with Contrastive Counterfactual Learning for Better Understanding User Preferences (Counterfactual + DA + CL)
arXiv 2022, [PDF]
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Multi-granularity Item-based Contrastive Recommendation (Industry + CL)
arXiv 2022, [PDF]
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Improving Micro-video Recommendation via Contrastive Multiple Interests (Short paper, Micro-video + CL)
SIGIR 2022, [PDF]
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Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning (Music Rec + CL)
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Self-supervised Learning for Large-scale Item Recommendations (Industry + CL + DA)
CIKM 2021, [PDF]
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CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation (Bundle Rec + CL)
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Contrastive Learning for Cold-start Recommendation (Short paper, Cold Start + CL)
ACM MM (ACM International Conference on Multimedia) 2021, [PDF], [Code]
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Socially-aware Dual Contrastive Learning for Cold-Start Recommendation (Short paper, Cold Start + CL)
SIGIR 2022, [PDF]
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Multi-modal Graph Contrastive Learning for Micro-video Recommendation (Short paper, Cold Start + Graph + CL)
SIGIR 2022, [PDF]
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Self-supervised Learning for Multimedia Recommendation (Multimedia Rec + Graph + DA + CL)
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SelfCF: A Simple Framework for Self-supervised Collaborative Filtering (CF + Graph + DA + CL)
ACM MM (ACM International Conference on Multimedia) 2021, [PDF], [Code]
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Trading Hard Negatives and True Negatives:A Debiased Contrastive Collaborative Filtering Approach (CF + CL)
IJCAI 2022, [PDF]
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The World is Binary: Contrastive Learning for Denoising Next Basket Recommendation (Next Basket + CL)
SIGIR 2021, [PDF]
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MIC: Model-agnostic Integrated Cross-channel Recommender (Industry + CL + DA)
CIKM 2022, [PDF]
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A Contrastive Sharing Model for Multi-Task Recommendation (Multi-Task + CL)
WWW 2022, [PDF]
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C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System (Conversational Rec + CL)
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Contrastive Cross-domain Recommendation in Matching (Cross-domain Rec + DA + CL)
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Contrastive Cross-Domain Sequential Recommendation (Cross-domain Rec + Sequential + CL)
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Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations (Short Paper, Industry + CL + DA)
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Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation (GNN + CL)
TOIS 2022, under review, [PDF]
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Disentangled Causal Embedding With Contrastive Learning For Recommender System (Causal + CL)
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Contrastive Collaborative Filtering for Cold-Start Item Recommendation (CF + Cold Start + CL)
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Cross-domain recommendation via user interest alignment (Cross-domain Rec + CL)
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Multi-Modal Self-Supervised Learning for Recommendation (Multi-Modal Rec + CL)
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Efficient On-Device Session-Based Recommendation (Session + DA + CL)
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On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation (Session + DA + CL)
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Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation (Multi-Modal Rec + CL)
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End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling (POI Rec + CL)
arXiv 2023, [PDF]
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CLSPRec: Contrastive Learning of Long and Short-term Preferences for Next POI Recommendation (POI Rec + CL)
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Celebrity-aware Graph Contrastive Learning Framework for Social Recommendation (Social Rec + CL)
CIKM2023, [PDF]
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Contrastive graph learning long and short-term interests for POI recommendation (POI Rec + Graph +CL)
ESA2023, [PDF]
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A Contrastive Learning Framework for Dual-Target Cross-Domain Recommendation (Cross-Domain + CL)
MM2023, [PDF]
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Modal-aware Bias Constrained Contrastive Learning for Multimodal Recommendation (Multimodal Rec + Graph + CL)
MM2023, [PDF]
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Hierarchical Category-Enhanced Prototype Learning for Imbalanced Temporal Recommendation (Temporal Rec)
MM2023, [PDF]
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LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation (LLM Rec)
Arxiv2023, [PDF]
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Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems (LLM Rec)
Arxiv2023, [PDF]
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Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation （Cross-Domain + CL）
TKDD2023, [PDF]
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Disentangled Contrastive Learning for Knowledge-Aware Recommender System (CL + Rec)
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LLMRec: Large Language Models with Graph Augmentation for Recommendation (CL + LLM + Graph)
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Towards Open-world Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach (CL + Cross-Domain)
Arxiv2023, [PDF]
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Contrastive Multi-View Interest Learning for Cross-Domain Sequential Recommendation (CL + Cross-Domain + Graph)
TOIS2023, [PDF]
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Multi-view Contrastive Learning for Knowledge-Aware Recommendation (CL + Graph)
ICONIP2023, [PDF]
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Influence-Guided Data Augmentation in Graph Contrastive Learning for Recommendation (CL + Graph)
ICSOC2023, [PDF]
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MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation (CL + Bundle)
Arxiv2023, [PDF]
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Poisoning Self-supervised Learning Based Sequential Recommendations （CL + poison）
SIGIR2023, [PDF]
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Recommendation model combining self-features and contrastive learning (CL)
计算机应用2023, [PDF]
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Knowledge-Aware Graph Self-Supervised Learning for Recommendation (Cl + Graph)
MDPI2023, [PDF]
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A self-attention model with contrastive learning for online group recommendation in event-based social networks (CL + group-rec)
Springer2023, [PDF]
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Dual-Supervised Contrastive Learning for Bundle Recommendation (CL + Bundle + Graph)
TCSS2023, [PDF]
61 Revisiting Recommendation Loss Functions through Contrastive Learning (CL)
AAAI2024, [PDF]