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 4551–4600 of 6047 papers

Title	Date	Tasks	Status	Hype
Single-Layer Graph Convolutional Networks For Recommendation	Jun 7, 2020	Recommendation Systems	—Unverified	0
Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations	Jun 7, 2020	EthicsFairness	—Unverified	0
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems	Jun 7, 2020	AttributeFairness	—Unverified	0
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks	Jun 7, 2020	BIG-bench Machine LearningFederated Learning	—Unverified	0
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation	Jun 7, 2020	DiversityRecommendation Systems	—Unverified	0
Denoising Implicit Feedback for Recommendation	Jun 7, 2020	DenoisingRecommendation Systems	CodeCode Available	1
Providing reliability in Recommender Systems through Bernoulli Matrix Factorization	Jun 5, 2020	Collaborative FilteringGeneral Classification	CodeCode Available	0
Exploration-Exploitation Motivated Variational Auto-Encoder for Recommender Systems	Jun 5, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
Fairness-Aware Explainable Recommendation over Knowledge Graphs	Jun 3, 2020	Collaborative FilteringDecision Making	—Unverified	0
Non-Stationary Delayed Bandits with Intermediate Observations	Jun 3, 2020	Recommendation Systems	—Unverified	0
Variational Quantum Singular Value Decomposition	Jun 3, 2020	Image CompressionRecommendation Systems	CodeCode Available	1
An efficient manifold density estimator for all recommendation systems	Jun 2, 2020	AllDensity Estimation	CodeCode Available	1
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start	Jun 2, 2020	Recommendation Systems	CodeCode Available	1
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks	Jun 2, 2020	Lifelong learningRecommendation Systems	—Unverified	0
Ordinal Non-negative Matrix Factorization for Recommendation	Jun 1, 2020	BinarizationRecommendation Systems	CodeCode Available	0
Submodular Bandit Problem Under Multiple Constraints	Jun 1, 2020	Recommendation SystemsRetrieval	—Unverified	0
Content-aware Neural Hashing for Cold-start Recommendation	May 31, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Predicting Engagement in Video Lectures	May 31, 2020	Recommendation Systems	CodeCode Available	1
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation	May 30, 2020	Recommendation Systems	—Unverified	0
Towards Question-based Recommender Systems	May 28, 2020	DescriptiveRecommendation Systems	CodeCode Available	1
Operationalizing the Legal Principle of Data Minimization for Personalization	May 28, 2020	Recommendation Systems	—Unverified	0
A Re-visit of the Popularity Baseline in Recommender Systems	May 28, 2020	Recommendation Systems	CodeCode Available	0
An Exploratory Study of Hierarchical Fuzzy Systems Approach in Recommendation System	May 27, 2020	Recommendation Systems	—Unverified	0
How to Retrain Recommender System? A Sequential Meta-Learning Method	May 27, 2020	Meta-LearningRecommendation Systems	CodeCode Available	1
MVIN: Learning Multiview Items for Recommendation	May 26, 2020	Graph Neural NetworkKnowledge Graphs	CodeCode Available	1
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation	May 25, 2020	Graph Neural NetworkRecommendation Systems	—Unverified	0
How Useful are Reviews for Recommendation? A Critical Review and Potential Improvements	May 25, 2020	Recommendation Systems	CodeCode Available	1
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach	May 25, 2020	AttributeGraph Embedding	—Unverified	0
Opportunistic Multi-aspect Fairness through Personalized Re-ranking	May 21, 2020	AttributeFairness	—Unverified	0
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network	May 21, 2020	Recommendation Systems	CodeCode Available	1
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation	May 21, 2020	ClusteringCollaborative Filtering	—Unverified	0
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems	May 20, 2020	Contrastive LearningFairness	—Unverified	0
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection	May 20, 2020	Recommendation SystemsRepresentation Learning	CodeCode Available	1
M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems	May 20, 2020	Graph Representation LearningInductive Bias	CodeCode Available	1
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks	May 20, 2020	ArticlesBIG-bench Machine Learning	CodeCode Available	1
Eicient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation	May 19, 2020	MemorizationRecommendation Systems	CodeCode Available	1
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments	May 19, 2020	Cloud ComputingManagement	—Unverified	0
Controllable Multi-Interest Framework for Recommendation	May 19, 2020	DiversityRecommendation Systems	CodeCode Available	1
Sequential Recommender via Time-aware Attentive Memory Network	May 18, 2020	Recommendation SystemsRetrieval	—Unverified	0
EdgeRec: Recommender System on Edge in Mobile Taobao	May 18, 2020	Recommendation SystemsReranking	—Unverified	0
A Hybrid Approach to Enhance Pure Collaborative Filtering based on Content Feature Relationship	May 17, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
Attacking Black-box Recommendations via Copying Cross-domain User Profiles	May 17, 2020	Data PoisoningDeep Learning	CodeCode Available	0
Attacking Recommender Systems with Augmented User Profiles	May 17, 2020	Adversarial AttackGenerative Adversarial Network	CodeCode Available	1
Neural Collaborative Reasoning	May 16, 2020	Collaborative FilteringDecision Making	CodeCode Available	1
Utilizing FastText for Venue Recommendation	May 14, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Mitigating Gender Bias in Machine Learning Data Sets	May 14, 2020	BIG-bench Machine LearningFairness	—Unverified	0
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey	May 13, 2020	Dynamic Link PredictionEpidemiology	—Unverified	0
Multi-modal Embedding Fusion-based Recommender	May 13, 2020	Recommendation Systems	—Unverified	0
Framing Effects on Strategic Information Design under Receiver Distrust and Unknown State	May 12, 2020	Recommendation Systems	—Unverified	0
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms	May 11, 2020	Recommendation 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	GC-MC	RMSE (u1 Splits)	0.91	—	Unverified
9	FedPerGNN	RMSE	0.91	—	Unverified
10	Self-Supervised Exchangeable Model	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	SimpleX	NDCG@20	0.06	—	Unverified
6	MGDCF	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	CR-Walker	Recall@1	0.04	—	Unverified
6	CRFR	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