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

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Showing 3551–3600 of 6047 papers

Title	Date	Tasks	Status
Trustworthy Graph Neural Networks: Aspects, Methods and Trends	May 16, 2022	Drug DiscoveryEdge-computing	—Unverified
Trustworthy Recommender Systems	Aug 10, 2022	Recommendation Systems	—Unverified
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems	Sep 9, 2021	Recommendation Systems	—Unverified
Next Period Recommendation Reality Check	Oct 11, 2021	Recommendation Systems	—Unverified
Tuning Word2vec for Large Scale Recommendation Systems	Sep 24, 2020	Hyperparameter OptimizationRecommendation Systems	—Unverified
Turning Privacy-preserving Mechanisms against Federated Learning	May 9, 2023	Federated LearningPrivacy Preserving	—Unverified
TwERC: High Performance Ensembled Candidate Generation for Ads Recommendation at Twitter	Feb 27, 2023	Recommendation SystemsVocal Bursts Intensity Prediction	—Unverified
TWIN V2: Scaling Ultra-Long User Behavior Sequence Modeling for Enhanced CTR Prediction at Kuaishou	Jul 23, 2024	Click-Through Rate PredictionRecommendation Systems	—Unverified
Twitter Hashtag Recommendation using Matrix Factorization	May 30, 2017	Recommendation Systemsvalid	—Unverified
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation	Apr 15, 2021	News RecommendationRecommendation Systems	—Unverified
Two Differentially Private Rating Collection Mechanisms for Recommender Systems	Apr 28, 2016	Recommendation SystemsVocal Bursts Valence Prediction	—Unverified
Two-level monotonic multistage recommender systems	Oct 6, 2021	PredictionRecommendation Systems	—Unverified
Two-sided fairness in rankings via Lorenz dominance	Oct 28, 2021	FairnessRecommendation Systems	—Unverified
Two-Stage Session-based Recommendations with Candidate Rank Embeddings	Aug 22, 2019	Collaborative FilteringRecommendation Systems	—Unverified
Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant	Oct 19, 2021	Natural Language UnderstandingRecommendation Systems	—Unverified
u-cf2vec: Representation Learning for Personalized Algorithm Selection in Recommender Systems	Mar 9, 2021	Collaborative FilteringMeta-Learning	—Unverified
UMEC: Unified model and embedding compression for efficient recommendation systems	Jan 1, 2021	Efficient Neural Networkfeature selection	—Unverified
Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation	Aug 7, 2021	Exposure FairnessFairness	—Unverified
Unbiased Implicit Feedback via Bi-level Optimization	May 31, 2022	Recommendation Systems	—Unverified
Unbiased Learning for the Causal Effect of Recommendation	Aug 11, 2020	Recommendation Systems	—Unverified
Unbiased Learning to Rank with Biased Continuous Feedback	Mar 8, 2023	Learning-To-RankPosition	—Unverified
Unbiased Pairwise Learning from Implicit Feedback for Recommender Systems without Biased Variance Control	Apr 11, 2023	Recommendation Systems	—Unverified
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization	Feb 18, 2025	Autonomous DrivingBayesian Optimization	—Unverified
Uncertainty-aware Consistency Learning for Cold-Start Item Recommendation	Aug 7, 2023	Graph Neural NetworkRecommendation Systems	—Unverified
Uncertainty-Aware Instance Reweighting for Off-Policy Learning	Mar 11, 2023	Recommendation Systems	—Unverified
Uncertainty Management in the Construction of Knowledge Graphs: a Survey	May 27, 2024	Knowledge GraphsManagement	—Unverified
Uncertainty of Joint Neural Contextual Bandit	Jun 4, 2024	Recommendation Systems	—Unverified
Uncovering Cross-Domain Recommendation Ability of Large Language Models	Mar 10, 2025	Recommendation Systems	—Unverified
Uncovering the Deep Filter Bubble: Narrow Exposure in Short-Video Recommendation	Mar 7, 2024	Recommendation Systems	—Unverified
Understanding and Mitigating Multi-Sided Exposure Bias in Recommender Systems	Nov 10, 2021	Exposure FairnessFairness	—Unverified
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank	Oct 15, 2024	Collaborative FilteringRecommendation Systems	—Unverified
Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models	Dec 26, 2023	Recommendation Systems	—Unverified
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference	Nov 4, 2020	Recommendation Systems	—Unverified
Understanding, Categorizing and Predicting Semantic Image-Text Relations	Jun 20, 2019	Image CaptioningInformation Retrieval	—Unverified
Understanding Fairness in Recommender Systems: A Healthcare Perspective	Sep 5, 2024	Decision MakingFairness	—Unverified
Understanding Latent Factors Using a GWAP	Aug 29, 2018	Recommendation Systems	—Unverified
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation	Aug 25, 2021	Recommendation Systems	—Unverified
Understanding Music Playlists	Nov 22, 2015	BIG-bench Machine LearningMusic Recommendation	—Unverified
Understanding Negations in Information Processing: Learning from Replicating Human Behavior	Apr 18, 2017	Recommendation SystemsReinforcement Learning	—Unverified
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems	Oct 11, 2022	BenchmarkingRecommendation Systems	—Unverified
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality	Jul 29, 2021	Learning-To-RankRecommendation Systems	—Unverified
Understanding the Impact of Culture in Assessing Helpfulness of Online Reviews	Apr 27, 2023	Cultural Vocal Bursts Intensity PredictionRecommendation Systems	—Unverified
Understanding the QuickXPlain Algorithm: Simple Explanation and Formal Proof	Jan 7, 2020	Recommendation Systems	—Unverified
Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank	Jul 4, 2023	Information RetrievalLearning-To-Rank	—Unverified
Understanding User Intent Modeling for Conversational Recommender Systems: A Systematic Literature Review	Aug 5, 2023	Model SelectionRecommendation Systems	—Unverified
U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation	May 5, 2023	Conversational RecommendationDialogue Evaluation	—Unverified
UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution	Jan 12, 2024	Multi-agent Reinforcement LearningRecommendation Systems	—Unverified
Unfair Exposure of Artists in Music Recommendation	Mar 25, 2020	FairnessMusic Recommendation	—Unverified
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search	Apr 5, 2023	Machine UnlearningRecommendation Systems	—Unverified
UNICON: A unified framework for behavior-based consumer segmentation in e-commerce	Sep 18, 2023	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