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 3001–3050 of 6047 papers

Title	Date	Tasks	Status	Hype
An Equity-Aware Recommender System for Curating Art Exhibits Based on Locally-Constrained Graph Matching	Jul 28, 2022	Cultural Vocal Bursts Intensity PredictionFairness	—Unverified	0
Self-Supervised Hypergraph Transformer for Recommender Systems	Jul 28, 2022	Collaborative FilteringData Augmentation	CodeCode Available	1
Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning	Jul 28, 2022	Contrastive LearningMusic Recommendation	—Unverified	0
Few-shot News Recommendation via Cross-lingual Transfer	Jul 28, 2022	Cross-Lingual TransferNews Recommendation	CodeCode Available	0
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation	Jul 28, 2022	DiversityRecommendation Systems	—Unverified	0
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences	Jul 28, 2022	Federated LearningRecommendation Systems	—Unverified	0
VICTOR: Visual Incompatibility Detection with Transformers and Fashion-specific contrastive pre-training	Jul 27, 2022	Binary ClassificationRecommendation Systems	CodeCode Available	0
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System	Jul 27, 2022	Combinatorial OptimizationRecommendation Systems	—Unverified	0
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification	Jul 26, 2022	Extreme Multi-Label ClassificationMissing Labels	—Unverified	0
Bundle MCR: Towards Conversational Bundle Recommendation	Jul 26, 2022	Conversational RecommendationRecommendation Systems	CodeCode Available	1
Bilateral Self-unbiased Learning from Biased Implicit Feedback	Jul 26, 2022	Recommendation Systems	CodeCode Available	1
Modeling the Social Influence of COVID-19 via Personalized Propagation with Deep Learning	Jul 26, 2022	MarketingPrediction	—Unverified	0
A Survey on Trustworthy Recommender Systems	Jul 25, 2022	Decision MakingExplainable Recommendation	—Unverified	0
Contrastive Learning for Interactive Recommendation in Fashion	Jul 25, 2022	Contrastive LearningInteractive Recommendation	—Unverified	0
Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory	Jul 25, 2022	Link PredictionRecommendation Systems	—Unverified	0
Personality-Driven Social Multimedia Content Recommendation	Jul 25, 2022	MarketingRecommendation Systems	—Unverified	0
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation	Jul 23, 2022	FairnessRecommendation Systems	CodeCode Available	0
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances	Jul 23, 2022	Bayesian OptimizationCloud Computing	—Unverified	0
Knowledge-enhanced Black-box Attacks for Recommendations	Jul 21, 2022	AttributeDeep Reinforcement Learning	—Unverified	0
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis	Jul 20, 2022	Causal InferenceEthics	—Unverified	0
Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders	Jul 19, 2022	Adversarial AttackAdversarial Defense	CodeCode Available	0
HICF: Hyperbolic Informative Collaborative Filtering	Jul 19, 2022	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Group Validation in Recommender Systems: Framework for Multi-layer Performance Evaluation	Jul 19, 2022	Recommendation Systems	—Unverified	0
Modeling Multi-interest News Sequence for News Recommendation	Jul 15, 2022	News RecommendationRecommendation Systems	—Unverified	0
Improving Multi-Interest Network with Stable Learning	Jul 14, 2022	Recommendation Systems	—Unverified	0
Everyone's Preference Changes Differently: Weighted Multi-Interest Retrieval Model	Jul 14, 2022	Recommendation SystemsRetrieval	CodeCode Available	0
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems	Jul 14, 2022	Click-Through Rate PredictionNeural Architecture Search	CodeCode Available	1
The Impact of Feature Quantity on Recommendation Algorithm Performance: A Movielens-100K Case Study	Jul 13, 2022	AutoMLFeature Importance	CodeCode Available	0
Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation	Jul 13, 2022	Collaborative FilteringData Augmentation	CodeCode Available	0
EvalRS: a Rounded Evaluation of Recommender Systems	Jul 12, 2022	Recommendation Systems	—Unverified	0
Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces	Jul 12, 2022	continuous-controlContinuous Control	CodeCode Available	0
Docent: A content-based recommendation system to discover contemporary art	Jul 12, 2022	Recommendation Systems	—Unverified	0
Horizontal Federated Learning and Secure Distributed Training for Recommendation System with Intel SGX	Jul 11, 2022	Deep LearningFederated Learning	—Unverified	0
FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR	Jul 11, 2022	Graph AttentionRecommendation Systems	—Unverified	0
Developing an NLP-based Recommender System for the Ethical, Legal, and Social Implications of Synthetic Biology	Jul 10, 2022	Recommendation Systems	—Unverified	0
Multiple Robust Learning for Recommendation	Jul 9, 2022	ImputationRecommendation Systems	—Unverified	0
On the Relationship Between Counterfactual Explainer and Recommender	Jul 9, 2022	Collaborative Filteringcounterfactual	—Unverified	0
An Approach to Ensure Fairness in News Articles	Jul 8, 2022	ArticlesFairness	CodeCode Available	1
Interactive Recommendations for Optimal Allocations in Markets with Constraints	Jul 8, 2022	Collaborative FilteringRecommendation Systems	—Unverified	0
Contrastive Information Transfer for Pre-Ranking Systems	Jul 7, 2022	Recommendation SystemsRe-Ranking	—Unverified	0
SPR:Supervised Personalized Ranking Based on Prior Knowledge for Recommendation	Jul 7, 2022	Recommendation Systems	—Unverified	0
Evolution of Popularity Bias: Empirical Study and Debiasing	Jul 7, 2022	Recommendation Systems	CodeCode Available	1
Online SuBmodular + SuPermodular (BP) Maximization with Bandit Feedback	Jul 7, 2022	Computational EfficiencyMovie Recommendation	CodeCode Available	0
Sequential Recommendation Model for Next Purchase Prediction	Jul 6, 2022	Marketingmodel	CodeCode Available	1
Exploring Runtime Decision Support for Trauma Resuscitation	Jul 6, 2022	Recommendation Systems	—Unverified	0
Re-weighting Negative Samples for Model-Agnostic Matching	Jul 6, 2022	modelMulti-Task Learning	—Unverified	0
Effective and Efficient Training for Sequential Recommendation using Recency Sampling	Jul 6, 2022	Recommendation SystemsSequential Recommendation	CodeCode Available	1
Breaking Feedback Loops in Recommender Systems with Causal Inference	Jul 4, 2022	Causal InferenceRecommendation Systems	—Unverified	0
Recommendation Systems with Distribution-Free Reliability Guarantees	Jul 4, 2022	DiversityLearning-To-Rank	—Unverified	0
Multi-granularity Item-based Contrastive Recommendation	Jul 4, 2022	Contrastive LearningRecommendation Systems	—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