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 2251–2300 of 6047 papers

Title	Date	Tasks	Status	Hype
CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework	Jun 20, 2023	DiversityFairness	CodeCode Available	1
Hybrid Multi-Criteria Preference Ranking by Subsorting	Jun 20, 2023	Recommendation Systems	—Unverified	0
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems	Jun 20, 2023	Computational EfficiencyRecommendation Systems	—Unverified	0
MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation	Jun 19, 2023	Collaborative FilteringMulti-Task Learning	—Unverified	0
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems	Jun 19, 2023	BenchmarkingDecoder	CodeCode Available	2
Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models	Jun 19, 2023	Music RecommendationRecommendation Systems	CodeCode Available	1
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets	Jun 16, 2023	Conversational RecommendationKnowledge Graphs	—Unverified	0
Graph Extraction for Assisting Crash Simulation Data Analysis	Jun 15, 2023	Recommendation Systems	—Unverified	0
RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation	Jun 15, 2023	Recommendation Systems	CodeCode Available	1
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems	Jun 15, 2023	Community DetectionFederated Learning	—Unverified	0
Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets	Jun 15, 2023	FairnessRecommendation Systems	—Unverified	0
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop	Jun 15, 2023	Recommendation Systems	CodeCode Available	0
Katakomba: Tools and Benchmarks for Data-Driven NetHack	Jun 14, 2023	D4RLNetHack	CodeCode Available	1
Analysis and Approximate Inference of Large Random Kronecker Graphs	Jun 14, 2023	Graph ClassificationRecommendation Systems	CodeCode Available	0
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects	Jun 14, 2023	Recommendation Systemstext-to-speech	CodeCode Available	1
Using Wikipedia Editor Information to Build High-performance Recommender Systems	Jun 14, 2023	ArticlesRecommendation Systems	—Unverified	0
User Simulation for Evaluating Information Access Systems	Jun 14, 2023	Recommendation SystemsUser Simulation	—Unverified	0
NFTs to MARS: Multi-Attention Recommender System for NFTs	Jun 13, 2023	Graph AttentionMulti-Task Learning	—Unverified	0
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations	Jun 13, 2023	MemorizationRecommendation Systems	—Unverified	0
KuaiSAR: A Unified Search And Recommendation Dataset	Jun 13, 2023	Multi-Task LearningRecommendation Systems	—Unverified	0
Topic-Centric Explanations for News Recommendation	Jun 13, 2023	ArticlesExplainable Recommendation	CodeCode Available	0
Incentivizing High-Quality Content in Online Recommender Systems	Jun 13, 2023	Recommendation Systems	—Unverified	0
Interpolating Item and User Fairness in Multi-Sided Recommendations	Jun 12, 2023	FairnessRecommendation Systems	—Unverified	0
Enhancing Topic Extraction in Recommender Systems with Entropy Regularization	Jun 12, 2023	Recommendation SystemsWord Embeddings	—Unverified	0
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework	Jun 11, 2023	Contrastive LearningImage Reconstruction	—Unverified	0
Skellam Rank: Fair Learning to Rank Algorithm Based on Poisson Process and Skellam Distribution for Recommender Systems	Jun 11, 2023	FairnessLearning-To-Rank	—Unverified	0
Mean-Variance Efficient Collaborative Filtering for Stock Recommendation	Jun 11, 2023	Collaborative FilteringComputational Efficiency	—Unverified	0
Spectral gap-based deterministic tensor completion	Jun 9, 2023	Recommendation Systems	—Unverified	0
Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application	Jun 9, 2023	Knowledge GraphsRecommendation Systems	—Unverified	0
Bayesian Knowledge-driven Critiquing with Indirect Evidence	Jun 9, 2023	Bayesian InferenceKnowledge Graphs	—Unverified	0
How Can Recommender Systems Benefit from Large Language Models: A Survey	Jun 9, 2023	EthicsFeature Engineering	CodeCode Available	3
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System	Jun 9, 2023	Explainable RecommendationRecommendation Systems	—Unverified	0
COURIER: Contrastive User Intention Reconstruction for Large-Scale Visual Recommendation	Jun 8, 2023	AttributeClick-Through Rate Prediction	CodeCode Available	0
Controllable Multi-Objective Re-ranking with Policy Hypernetworks	Jun 8, 2023	Recommendation SystemsRe-Ranking	CodeCode Available	1
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming	Jun 8, 2023	Recommendation Systems	CodeCode Available	1
Safe Collaborative Filtering	Jun 8, 2023	Collaborative FilteringComputational Efficiency	CodeCode Available	0
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations	Jun 7, 2023	Drug DiscoveryGraph Classification	—Unverified	0
PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation	Jun 7, 2023	DenoisingGraph Representation Learning	—Unverified	0
Vague Preference Policy Learning for Conversational Recommendation	Jun 7, 2023	AttributeConversational Recommendation	—Unverified	0
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation	Jun 7, 2023	DecoderKnowledge Tracing	—Unverified	0
Constraint-based recommender system for crisis management simulations	Jun 7, 2023	ManagementRecommendation Systems	—Unverified	0
Modeling Dual Period-Varying Preferences for Takeaway Recommendation	Jun 7, 2023	Recommendation Systems	CodeCode Available	1
Answering Compositional Queries with Set-Theoretic Embeddings	Jun 7, 2023	AttributeRecommendation Systems	—Unverified	0
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings	Jun 6, 2023	Adversarial RobustnessFraud Detection	CodeCode Available	0
ColdNAS: Search to Modulate for User Cold-Start Recommendation	Jun 6, 2023	Neural Architecture SearchPosition	CodeCode Available	1
Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation	Jun 6, 2023	Recommendation Systemsregression	—Unverified	0
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering	Jun 6, 2023	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Personalized Federated Domain Adaptation for Item-to-Item Recommendation	Jun 5, 2023	Domain AdaptationFederated Learning	—Unverified	0
Construction d'un système de recommandation basé sur des contraintes via des graphes de connaissances	Jun 5, 2023	Knowledge GraphsRecommendation Systems	—Unverified	0
Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval	Jun 5, 2023	Answer GenerationInformation Retrieval	—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