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 4301–4350 of 6047 papers

Title	Date	Tasks	Status
A Hybrid Recommender System for Recommending Smartphones to Prospective Customers	May 26, 2021	Collaborative FilteringRecommendation Systems	—Unverified
A Hypergraph-Based Approach to Recommend Online Resources in a Library	Dec 2, 2023	ClusteringRecommendation Systems	—Unverified
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG	Feb 9, 2022	BIG-bench Machine Learningobject-detection	—Unverified
AI-assisted Coding with Cody: Lessons from Context Retrieval and Evaluation for Code Recommendations	Aug 9, 2024	Recommendation SystemsRetrieval	—Unverified
AI Generations: From AI 1.0 to AI 4.0	Feb 16, 2025	Autonomous VehiclesRecommendation Systems	—Unverified
AIOptimizer - Software performance optimisation prototype for cost minimisation	Jul 15, 2023	Fault DiagnosisRecommendation Systems	—Unverified
AI Recommendation System for Enhanced Customer Experience: A Novel Image-to-Text Method	Nov 16, 2023	Image to textObject	—Unverified
AI Recommendation Systems for Lane-Changing Using Adherence-Aware Reinforcement Learning	Apr 28, 2025	Autonomous DrivingRecommendation Systems	—Unverified
A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention	Jun 18, 2020	AttributeKnowledge Graphs	—Unverified
A Language-Driven Framework for Improving Personalized Recommendations: Merging LLMs with Traditional Algorithms	Jul 9, 2025	Movie RecommendationRecommendation Systems	—Unverified
A Large Interlinked Knowledge Graph of the Italian Cultural Heritage	Jun 1, 2022	Natural Language UnderstandingRecommendation Systems	—Unverified
A Large Language Model Enhanced Conversational Recommender System	Aug 11, 2023	Language ModelingLanguage Modelling	—Unverified
A Large Multilingual and Multi-domain Dataset for Recommender Systems	May 1, 2018	Collaborative FilteringRecommendation Systems	—Unverified
A Large-Scale Characterization of User Behaviour in Cable TV	Sep 13, 2016	Recommendation Systems	—Unverified
A Latent Source Model for Online Collaborative Filtering	Oct 31, 2014	Collaborative FilteringRecommendation Systems	—Unverified
Algorithmically Curated Lies: How Search Engines Handle Misinformation about US Biolabs in Ukraine	Jan 24, 2024	MisinformationRecommendation Systems	—Unverified
Algorithmic clothing: hybrid recommendation, from street-style-to-shop	May 26, 2017	General ClassificationRecommendation Systems	—Unverified
Algorithmic Collective Action with Two Collectives	Apr 30, 2025	Recommendation Systems	—Unverified
Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems	Sep 25, 2023	Recommendation Systems	—Unverified
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences	Sep 24, 2024	Recommendation Systems	—Unverified
Algorithms and Architecture for Real-time Recommendations at News UK	Sep 15, 2017	Collaborative FilteringRecommendation Systems	—Unverified
Aligning Black-box Language Models with Human Judgments	Feb 7, 2025	Recommendation Systems	—Unverified
Aligning Large Language Models for Controllable Recommendations	Mar 8, 2024	Recommendation Systems	—Unverified
Aligning Large Language Models with Recommendation Knowledge	Mar 30, 2024	AttributeRecommendation Systems	—Unverified
Aligning Recommendation and Conversation via Dual Imitation	Nov 5, 2022	Conversational RecommendationRecommendation Systems	—Unverified
A Linear Bandit for Seasonal Environments	Apr 28, 2020	Music RecommendationRecommendation Systems	—Unverified
A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems	Mar 17, 2025	Computational EfficiencyFederated Learning	—Unverified
A Literature Review on Simulation in Conversational Recommender Systems	Jun 25, 2025	Conversational RecommendationRecommendation Systems	—Unverified
Alleviating the recommendation bias via rank aggregation	Apr 22, 2020	FairnessRecommendation Systems	—Unverified
Allowing for equal opportunities for artists in music recommendation	Nov 13, 2019	DiversityInformation Retrieval	—Unverified
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era	Jul 14, 2024	AllConversational Recommendation	—Unverified
All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation	Sep 2, 2019	AllClustering	—Unverified
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations	Nov 15, 2020	Recommendation Systems	—Unverified
A Load Balanced Recommendation Approach	May 20, 2021	Collaborative FilteringDiversity	—Unverified
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users	Jun 20, 2017	Decision MakingRecommendation Systems	—Unverified
A Long-Short Demands-Aware Model for Next-Item Recommendation	Feb 12, 2019	Recommendation Systems	—Unverified
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization	Jun 1, 2016	ClusteringFeature Engineering	—Unverified
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems	May 4, 2021	Recommendation Systems	—Unverified
AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems	Dec 11, 2024	Feature Importancefeature selection	—Unverified
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization	Apr 20, 2025	Compressive SensingFew-Shot Learning	—Unverified
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction	Apr 17, 2023	Click-Through Rate PredictionDiversity	—Unverified
A Machine-Learned Ranking Algorithm for Dynamic and Personalised Car Pooling Services	Jul 6, 2023	Learning-To-RankRecommendation Systems	—Unverified
A Matrix Decomposition Model Based on Feature Factors in Movie Recommendation System	Jun 12, 2022	AttributeCollaborative Filtering	—Unverified
A Mechanism for Optimizing Media Recommender Systems	Jun 23, 2024	Recommendation Systems	—Unverified
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System	Jun 10, 2020	Feature EngineeringNeural Architecture Search	—Unverified
AMinerGNN: Heterogeneous Graph Neural Network for Paper Click-through Rate Prediction with Fusion Query	Aug 15, 2022	Click-Through Rate PredictionGraph Neural Network	—Unverified
A Missing Information Loss function for implicit feedback datasets	Apr 30, 2018	DenoisingRecommendation Systems	—Unverified
A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings	Aug 17, 2023	Recommendation SystemsRepresentation Learning	—Unverified
A Model-based Multi-Agent Personalized Short-Video Recommender System	May 3, 2024	Recommendation SystemsReinforcement Learning (RL)	—Unverified
A Model for Using Physiological Conditions for Proactive Tourist Recommendations	Apr 10, 2019	Recommendation Systems	—Unverified

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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