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 4451–4500 of 6047 papers

Title	Date	Tasks	Status
Memory-efficient Embedding for Recommendations	Jun 26, 2020	AutoMLRecommendation Systems	—Unverified
Memory efficient location recommendation through proximity-aware representation	Oct 10, 2023	Recommendation SystemsSequential Recommendation	—Unverified
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation	May 12, 2023	Recommendation Systems	—Unverified
Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference	Oct 17, 2022	CPUGPU	—Unverified
Meta Clustering of Neural Bandits	Aug 10, 2024	ClusteringDecision Making	—Unverified
Meta Decision Trees for Explainable Recommendation Systems	Dec 19, 2019	AttributeCollaborative Filtering	—Unverified
Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems	Dec 18, 2019	Meta-LearningRecommendation Systems	—Unverified
Meta-Learning for Variational Inference	Sep 25, 2019	Bayesian InferenceComputational Efficiency	—Unverified
Meta-Learning Divergences of Variational Inference	Jul 6, 2020	Bayesian InferenceComputational Efficiency	—Unverified
Meta-Learning surrogate models for sequential decision making	Mar 28, 2019	Bayesian OptimisationDecision Making	—Unverified
Meta-Learning with Graph Neural Networks: Methods and Applications	Feb 27, 2021	Drug DiscoveryMeta-Learning	—Unverified
Metamorphic Evaluation of ChatGPT as a Recommender System	Nov 18, 2024	Recommendation Systems	—Unverified
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection	Jan 22, 2020	Meta-LearningModel Selection	—Unverified
Meta-Shop: Improving Item Advertisement For Small Businesses	Dec 2, 2022	Meta-LearningRecommendation Systems	—Unverified
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction	Jun 28, 2022	Bilevel OptimizationClick-Through Rate Prediction	—Unverified
Methodologies for Improving Modern Industrial Recommender Systems	Jul 21, 2023	Recommendation Systems	—Unverified
Metric@CustomerN: Evaluating Metrics at a Customer Level in E-Commerce	Jul 31, 2023	Recommendation Systems	—Unverified
Metric Learning as a Service with Covariance Embedding	Nov 28, 2022	Information RetrievalMetric Learning	—Unverified
Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues	Nov 10, 2024	Collaborative FilteringMetric Learning	—Unverified
Metric Optimization and Mainstream Bias Mitigation in Recommender Systems	Nov 11, 2023	Recommendation Systems	—Unverified
Metrics for popularity bias in dynamic recommender systems	Oct 12, 2023	Collaborative FilteringRecommendation Systems	—Unverified
mib at SemEval-2016 Task 4a: Exploiting lexicon based features for Sentiment Analysis in Twitter	Jun 1, 2016	Recommendation SystemsSentiment Analysis	—Unverified
MIC: Model-agnostic Integrated Cross-channel Recommenders	Oct 22, 2021	modelRecommendation Systems	—Unverified
MicroRec: Efficient Recommendation Inference by Hardware and Data Structure Solutions	Oct 12, 2020	CPURecommendation Systems	—Unverified
MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling	Feb 1, 2025	Click-Through Rate PredictionCollaborative Filtering	—Unverified
Minimally Supervised Hierarchical Domain Intent Learning for CRS	May 4, 2025	ClusteringConversational Recommendation	—Unverified
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies	Sep 26, 2024	Recommendation SystemsUser Simulation	—Unverified
Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews	Aug 5, 2022	PositionRecommendation Systems	—Unverified
Mining urban lifestyles: urban computing, human behavior and recommender systems	Nov 4, 2019	Recommendation Systems	—Unverified
Mining User Relations from Online Discussions using Sentiment Analysis and Probabilistic Matrix Factorization	Jun 1, 2013	Collaborative FilteringRecommendation Systems	—Unverified
Misalignment, Learning, and Ranking: Harnessing Users Limited Attention	Feb 21, 2024	Recommendation Systems	—Unverified
MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction	Nov 30, 2021	Click-Through Rate PredictionContrastive Learning	—Unverified
Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction	May 29, 2024	Click-Through Rate PredictionPosition	—Unverified
Mitigating Dual Latent Confounding Biases in Recommender Systems	Oct 16, 2024	Recommendation SystemsRepresentation Learning	—Unverified
Mitigating Exploitation Bias in Learning to Rank with an Uncertainty-aware Empirical Bayes Approach	May 26, 2023	Learning-To-RankRecommendation Systems	—Unverified
Mitigating Filter Bubbles within Deep Recommender Systems	Sep 16, 2022	Recommendation Systems	—Unverified
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders	Nov 16, 2022	Causal InferenceFairness	—Unverified
Mitigating Gender Bias in Machine Learning Data Sets	May 14, 2020	BIG-bench Machine LearningFairness	—Unverified
Mitigating Hidden Confounding Effects for Causal Recommendation	May 16, 2022	Multi-Task LearningRecommendation Systems	—Unverified
Mitigating Human and Computer Opinion Fraud via Contrastive Learning	Jan 8, 2023	Collaborative FilteringContrastive Learning	—Unverified
Network-aware Recommender System via Online Feedback Optimization	Aug 29, 2024	Recommendation Systems	—Unverified
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective	Oct 31, 2022	Model OptimizationRecommendation Systems	—Unverified
Mitigating Position Bias with Regularization for Recommender Systems	Jan 18, 2024	FairnessPosition	—Unverified
Mitigating Propensity Bias of Large Language Models for Recommender Systems	Sep 30, 2024	counterfactualCounterfactual Inference	—Unverified
Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions	Oct 15, 2024	Recommendation Systems	—Unverified
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective	Sep 21, 2023	Collaborative FilteringRecommendation Systems	—Unverified
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective	Sep 21, 2023	Collaborative FilteringDiversity	—Unverified
Mixed-Features Vectors and Subspace Splitting	Jan 1, 2021	ClusteringDictionary Learning	—Unverified
Mixed-Precision Embeddings for Large-Scale Recommendation Models	Sep 30, 2024	QuantizationRecommendation Systems	—Unverified
Mixed-Precision Embedding Using a Cache	Oct 21, 2020	GPUQuantization	—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