Recommendation Systems

Recommendation System in AI Research

A Recommendation System is a specialized AI-driven model that analyzes user preferences and behaviors to suggest relevant content, products, or services. It is widely used in domains like e-commerce, streaming platforms, social media, and personalized learning.

AI research in recommendation systems focuses on:

Collaborative Filtering: Predicting user preferences based on similar users' choices.
Content-Based Filtering: Recommending items based on user history and item characteristics.
Hybrid Models: Combining multiple techniques for better accuracy.
Deep Learning & Transformers: Using neural networks and self-attention mechanisms for personalized recommendations.
Graph-Based Approaches: Leveraging knowledge graphs for relationship-aware recommendations.

Key challenges include data sparsity, scalability, and bias mitigation. Cutting-edge research explores reinforcement learning, explainability, and privacy-preserving methods to enhance recommendation systems.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 3451–3500 of 6047 papers

Title	Date	Tasks	Status	Hype
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training	Dec 13, 2021	Data AugmentationKnowledge Distillation	CodeCode Available	0
CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation	Dec 13, 2021	Click-Through Rate PredictionContrastive Learning	CodeCode Available	1
Re-ranking With Constraints on Diversified Exposures for Homepage Recommender System	Dec 12, 2021	DiversityRecommendation Systems	—Unverified	0
Leaping Through Time with Gradient-based Adaptation for Recommendation	Dec 11, 2021	Meta-LearningRecommendation Systems	CodeCode Available	0
Edge-Compatible Reinforcement Learning for Recommendations	Dec 10, 2021	Edge-computingRecommendation Systems	—Unverified	0
How Private Is Your RL Policy? An Inverse RL Based Analysis Framework	Dec 10, 2021	Adversarial AttackAutonomous Driving	CodeCode Available	0
Self-Supervised Bot Play for Conversational Recommendation with Justifications	Dec 9, 2021	Conversational RecommendationRecommendation Systems	—Unverified	0
A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation	Dec 9, 2021	MisinformationRecommendation Systems	—Unverified	0
A cross-domain recommender system using deep coupled autoencoders	Dec 8, 2021	Domain AdaptationRecommendation Systems	—Unverified	0
DiPS: Differentiable Policy for Sketching in Recommender Systems	Dec 8, 2021	Recommendation SystemsSequential Recommendation	—Unverified	0
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems	Dec 8, 2021	Knowledge GraphsLifelong learning	—Unverified	0
Cross-domain User Preference Learning for Cold-start Recommendation	Dec 7, 2021	Recommendation Systems	—Unverified	0
FleetX	Dec 6, 2021	CPUDistributed Computing	—Unverified	0
ZeroMat: Solving Cold-start Problem of Recommender System with No Input Data	Dec 6, 2021	FairnessRecommendation Systems	—Unverified	0
Gumble Softmax For User Behavior Modeling	Dec 6, 2021	Recommendation SystemsSequential Recommendation	—Unverified	0
MatMat: Matrix Factorization by Matrix Fitting	Dec 6, 2021	FairnessMulti-Task Learning	—Unverified	0
End-to-end Adaptive Distributed Training on PaddlePaddle	Dec 6, 2021	CPUGPU	—Unverified	0
Exploring and Mitigating Gender Bias in Recommender Systems with Explicit Feedback	Dec 5, 2021	Recommendation Systems	CodeCode Available	0
Multiple Interest and Fine Granularity Network for User Modeling	Dec 5, 2021	Recommendation Systems	—Unverified	0
Long-Tail Session-based Recommendation from Calibration	Dec 5, 2021	Recommendation SystemsSession-Based Recommendations	—Unverified	0
Recommender systems: when memory matters	Dec 4, 2021	Recommendation Systems	—Unverified	0
Considering user dynamic preferences for mitigating negative effects of long tail in recommender systems	Dec 4, 2021	Recommendation Systems	—Unverified	0
Self-supervised Graph Learning for Occasional Group Recommendation	Dec 4, 2021	Contrastive LearningGraph Learning	—Unverified	0
Towards Low-loss 1-bit Quantization of User-item Representations for Top-K Recommendation	Dec 3, 2021	QuantizationRecommendation Systems	—Unverified	0
Given Users Recommendations Based on Reviews on Yelp	Dec 3, 2021	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Recommending with Recommendations	Dec 2, 2021	Recommendation Systems	—Unverified	0
Graph4Rec: A Universal Toolkit with Graph Neural Networks for Recommender Systems	Dec 2, 2021	graph constructionGraph Neural Network	CodeCode Available	2
Learning Robust Recommender from Noisy Implicit Feedback	Dec 2, 2021	DenoisingRecommendation Systems	CodeCode Available	1
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems	Dec 2, 2021	Adversarial Robustnesscounterfactual	—Unverified	0
Efficient Online Bayesian Inference for Neural Bandits	Dec 1, 2021	Bayesian InferenceRecommendation Systems	CodeCode Available	1
Optimal Algorithms for Stochastic Contextual Preference Bandits	Dec 1, 2021	Decision MakingInformation Retrieval	—Unverified	0
A Gang of Adversarial Bandits	Dec 1, 2021	Recommendation Systems	—Unverified	0
Leveraging Distribution Alignment via Stein Path for Cross-Domain Cold-Start Recommendation	Dec 1, 2021	Recommendation Systems	—Unverified	0
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction	Nov 30, 2021	Click-Through Rate PredictionContrastive Learning	—Unverified	0
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations	Nov 29, 2021	ArticlesRecommendation Systems	—Unverified	0
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network	Nov 28, 2021	Graph Neural NetworkRecommendation Systems	—Unverified	0
A Recommender System-Inspired Cloud Data Filling Scheme for Satellite-based Coastal Observation	Nov 27, 2021	Earth ObservationImputation	—Unverified	0
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems	Nov 26, 2021	Machine TranslationQuestion Generation	CodeCode Available	0
An Optimal Algorithm for Finding Champions in Tournament Graphs	Nov 26, 2021	Conversational SearchInformation Retrieval	CodeCode Available	1
Job Recommender Systems: A Review	Nov 26, 2021	FairnessRecommendation Systems	—Unverified	0
Unsupervised Feature Ranking via Attribute Networks	Nov 25, 2021	AttributeRecommendation Systems	CodeCode Available	0
Unbiased Pairwise Learning to Rank in Recommender Systems	Nov 25, 2021	AttributeLearning-To-Rank	CodeCode Available	0
It Is Different When Items Are Older: Debiasing Recommendations When Selection Bias and User Preferences Are Dynamic	Nov 24, 2021	Recommendation SystemsSelection bias	CodeCode Available	0
Reinforcement Learning based Path Exploration for Sequential Explainable Recommendation	Nov 24, 2021	Explainable RecommendationKnowledge Graphs	—Unverified	0
Active Learning Meets Optimized Item Selection	Nov 22, 2021	Active LearningClustering	CodeCode Available	1
Citation network applications in a scientific co-authorship recommender system	Nov 22, 2021	Link PredictionRecommendation Systems	—Unverified	0
Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities	Nov 22, 2021	Recommendation Systems	—Unverified	0
Learning Explicit User Interest Boundary for Recommendation	Nov 22, 2021	Recommendation Systems	CodeCode Available	0
MetaFormer Is Actually What You Need for Vision	Nov 22, 2021	Image ClassificationObject Detection	CodeCode Available	2
Federated Social Recommendation with Graph Neural Network	Nov 21, 2021	Federated LearningGraph Neural Network	—Unverified	0

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All datasets MovieLens 1M Amazon-Book MovieLens 100K MovieLens 20M MovieLens 10M Gowalla Yelp2018 Netflix Douban Monti ReDial Amazon Beauty Douban

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	KTUP (soft)	HR@10	0.89	—	Unverified
2	Factorization with dictionary learning	RMSE	0.87	—	Unverified
3	Factorized EAE	RMSE	0.86	—	Unverified
4	U-CFN	RMSE	0.86	—	Unverified
5	IGMC	RMSE	0.86	—	Unverified
6	FedGNN	RMSE	0.85	—	Unverified
7	NNMF	RMSE	0.84	—	Unverified
8	BST	RMSE	0.84	—	Unverified
9	FedPerGNN	RMSE	0.84	—	Unverified
10	GHRS	RMSE	0.84	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LT-OCF	Recall@20	0.19	—	Unverified
2	SSCF	nDCG@20	0.06	—	Unverified
3	SANSA	nDCG@20	0.06	—	Unverified
4	RLAE-DAN	nDCG@20	0.06	—	Unverified
5	HSTU+MoL	HR@10	0.06	—	Unverified
6	BSPM-LM	nDCG@20	0.06	—	Unverified
7	BSPM-EM	nDCG@20	0.06	—	Unverified
8	Turbo-CF	nDCG@20	0.06	—	Unverified
9	Emb-GCN	nDCG@20	0.06	—	Unverified
10	NESCL	nDCG@20	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GMC	RMSE (u1 Splits)	1	—	Unverified
2	GRALS	RMSE (u1 Splits)	0.95	—	Unverified
3	sRGCNN	RMSE (u1 Splits)	0.93	—	Unverified
4	WMLFF	RMSE (u1 Splits)	0.93	—	Unverified
5	FedGNN	RMSE	0.92	—	Unverified
6	Factorized EAE	RMSE (u1 Splits)	0.92	—	Unverified
7	GRAEM / KPMF	RMSE (u1 Splits)	0.92	—	Unverified
8	Self-Supervised Exchangeable Model	RMSE (u1 Splits)	0.91	—	Unverified
9	FedPerGNN	RMSE	0.91	—	Unverified
10	GC-MC	RMSE (u1 Splits)	0.91	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	HyperML	nDCG@10	0.64	—	Unverified
2	LRML	nDCG@10	0.62	—	Unverified
3	CML	nDCG@10	0.53	—	Unverified
4	Multi-Gradient Descent	Recall@20	0.42	—	Unverified
5	RecVAE	Recall@20	0.41	—	Unverified
6	VASP	Recall@20	0.41	—	Unverified
7	H+Vamp Gated	Recall@20	0.41	—	Unverified
8	RaCT	Recall@20	0.4	—	Unverified
9	Mult-VAE PR	Recall@20	0.4	—	Unverified
10	EASE	Recall@20	0.39	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	U-RBM	RMSE	0.82	—	Unverified
2	FedGNN	RMSE	0.8	—	Unverified
3	Factorization with dictionary learning	RMSE	0.8	—	Unverified
4	U-CFN	RMSE	0.8	—	Unverified
5	FedPerGNN	RMSE	0.79	—	Unverified
6	I-AutoRec	RMSE	0.78	—	Unverified
7	GC-MC	RMSE	0.78	—	Unverified
8	I-CFN	RMSE	0.78	—	Unverified
9	SGD MF	RMSE	0.77	—	Unverified
10	CF-NADE	RMSE	0.77	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ConvNCF	nDCG@20	0.6	—	Unverified
2	NESCL	nDCG@20	0.16	—	Unverified
3	RLAE-DAN	nDCG@20	0.16	—	Unverified
4	BSPM-EM	nDCG@20	0.16	—	Unverified
5	MGDCF	nDCG@20	0.16	—	Unverified
6	Emb-GCN	nDCG@20	0.16	—	Unverified
7	LT-OCF	nDCG@20	0.16	—	Unverified
8	BSPM-LM	nDCG@20	0.16	—	Unverified
9	SimpleX	nDCG@20	0.16	—	Unverified
10	LightGCN	nDCG@20	0.16	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NESCL	NDCG@20	0.06	—	Unverified
2	BSPM-EM	NDCG@20	0.06	—	Unverified
3	RLAE-DAN	NDCG@20	0.06	—	Unverified
4	BSPM-LM	NDCG@20	0.06	—	Unverified
5	MGDCF	NDCG@20	0.06	—	Unverified
6	SimpleX	NDCG@20	0.06	—	Unverified
7	Turbo-CF	NDCG@20	0.06	—	Unverified
8	LT-OCF	NDCG@20	0.05	—	Unverified
9	SSCF	NDCG@20	0.05	—	Unverified
10	LightGCN	NDCG@20	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	H+Vamp Gated	nDCG@100	0.41	—	Unverified
2	RecVAE	nDCG@100	0.39	—	Unverified
3	EASE	nDCG@100	0.39	—	Unverified
4	RaCT	nDCG@100	0.39	—	Unverified
5	Mult-VAE PR	nDCG@100	0.39	—	Unverified
6	Mult-DAE	nDCG@100	0.38	—	Unverified
7	∞-AE	nDCG@100	0.37	—	Unverified
8	LRML	nDCG@10	0.36	—	Unverified
9	CML	nDCG@10	0.29	—	Unverified
10	RATE-CSE	Recall@10	0.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GRALS	RMSE	0.83	—	Unverified
2	sRGCNN	RMSE	0.8	—	Unverified
3	Factorized EAE	RMSE	0.74	—	Unverified
4	GC-MC	RMSE	0.73	—	Unverified
5	GRAEM / KPMF	RMSE	0.73	—	Unverified
6	MG-GAT	RMSE	0.73	—	Unverified
7	IGMC	RMSE	0.72	—	Unverified
8	GLocal-K	RMSE	0.72	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UCCR	Recall@10	0.22	—	Unverified
2	KERL	Recall@1	0.06	—	Unverified
3	C2CRS	Recall@1	0.05	—	Unverified
4	UniCRS	Recall@1	0.05	—	Unverified
5	CRFR	Recall@1	0.04	—	Unverified
6	CR-Walker	Recall@1	0.04	—	Unverified
7	KGSF	Recall@1	0.04	—	Unverified
8	KBRD	Recall@1	0.03	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CARCA Abs + Con	Hit@10	0.68	—	Unverified
2	ProxyRCA	Hit@10	0.63	—	Unverified
3	CARCA-Rotatory	Hit@10	0.62	—	Unverified
4	CARCA	Hit@10	0.58	—	Unverified
5	SSE-PT	Hit@10	0.5	—	Unverified
6	SASRec	Hit@10	0.49	—	Unverified
7	HetroFair	MAP@20	0.14	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	∞-AE	AUC	0.95	—	Unverified
2	FedGNN	RMSE	0.79	—	Unverified
3	FedPerGNN	RMSE	0.78	—	Unverified
4	GRALS	RMSE	0.71	—	Unverified
5	U-CFN	RMSE	0.7	—	Unverified
6	I-CFN	RMSE	0.69	—	Unverified
7	DGRec	NDCG	0.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GRALS	RMSE	1.24	—	Unverified
2	sRGCNN	RMSE	0.93	—	Unverified
3	GC-MC	RMSE	0.92	—	Unverified
4	Factorized EAE	RMSE	0.91	—	Unverified
5	GRAEM	RMSE	0.89	—	Unverified
6	MG-GAT	RMSE	0.88	—	Unverified
7	IGMC	RMSE	0.87	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	EASE	nDCG@100	0.39	—	Unverified
2	SANSA	nDCG@100	0.39	—	Unverified
3	RecVAE	nDCG@100	0.33	—	Unverified
4	RaCT	nDCG@100	0.32	—	Unverified
5	Mult-VAE PR	nDCG@100	0.32	—	Unverified
6	Mult-DAE	nDCG@100	0.31	—	Unverified
7	CML	Recall@50	0.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TLSAN	AUC	0.95	—	Unverified
2	ProxyRCA	Hit@10	0.81	—	Unverified
3	CARCA-Rotatory + Con.	Hit@10	0.81	—	Unverified
4	CARCA	Hit@10	0.78	—	Unverified
5	SSE-PT	Hit@10	0.78	—	Unverified
6	SASRec	Hit@10	0.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GRALS	RMSE	38.04	—	Unverified
2	sRGCNN	RMSE	22.41	—	Unverified
3	GC-MC	RMSE	20.5	—	Unverified
4	Factorized EAE	RMSE	20	—	Unverified
5	IGMC	RMSE	19.1	—	Unverified
6	MG-GAT	RMSE	18.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SAERS	AUC	0.82	—	Unverified
2	RMHA-4	Hit@10	0.77	—	Unverified
3	ProxyRCA	HitRatio@ 10 (100 Neg. Samples)	0.66	—	Unverified
4	CARCA	HitRatio@ 10 (100 Neg. Samples)	0.59	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GraphRec	MAE	0.82	—	Unverified
2	NSCR (Wang et al., 2017)	MAE	0.8	—	Unverified
3	DANSER	MAE	0.78	—	Unverified
4	HetroFair	MAP@20	0.04	—	Unverified