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 3201–3250 of 6047 papers

Title	Date	Tasks	Status	Hype
Improving Personalized Explanation Generation through Visualization	May 1, 2022	DiversityExplainable Recommendation	—Unverified	0
Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation	May 1, 2022	Explanation GenerationRecommendation Systems	—Unverified	0
An Analysis of the Features Considerable for NFT Recommendations	May 1, 2022	Recommendation Systems	—Unverified	0
Designing a Sequential Recommendation System for Heterogeneous Interactions Using Transformers	Apr 30, 2022	Recommendation SystemsSequential Recommendation	—Unverified	0
Joint Multisided Exposure Fairness for Recommendation	Apr 29, 2022	Exposure FairnessFairness	CodeCode Available	0
Accelerating nuclear-norm regularized low-rank matrix optimization through Burer-Monteiro decomposition	Apr 29, 2022	Recommendation Systems	CodeCode Available	0
User-controllable Recommendation Against Filter Bubbles	Apr 29, 2022	Blockingcounterfactual	CodeCode Available	1
Who will stay? Using Deep Learning to predict engagement of citizen scientists	Apr 28, 2022	Recommendation Systems	—Unverified	0
AutoLossGen: Automatic Loss Function Generation for Recommender Systems	Apr 27, 2022	Recommendation Systems	CodeCode Available	1
KL-Mat : Fair Recommender System via Information Geometry	Apr 27, 2022	FairnessRecommendation Systems	—Unverified	0
Extremal GloVe: Theoretically Accurate Distributed Word Embedding by Tail Inference	Apr 27, 2022	Recommendation SystemsWord Embeddings	—Unverified	0
MovieMat: Context-aware Movie Recommendation with Matrix Factorization by Matrix Fitting	Apr 27, 2022	Collaborative FilteringFairness	—Unverified	0
Generating Self-Serendipity Preference in Recommender Systems for Addressing Cold Start Problems	Apr 27, 2022	Recommendation Systems	—Unverified	0
RankMat : Matrix Factorization with Calibrated Distributed Embedding and Fairness Enhancement	Apr 27, 2022	FairnessRecommendation Systems	—Unverified	0
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios	Apr 26, 2022	Deep LearningFederated Learning	CodeCode Available	1
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering	Apr 26, 2022	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Hypergraph Contrastive Collaborative Filtering	Apr 26, 2022	Collaborative FilteringContrastive Learning	CodeCode Available	1
Application of WGAN-GP in recommendation and Questioning the relevance of GAN-based approaches	Apr 26, 2022	Recommendation Systems	—Unverified	0
Cross Pairwise Ranking for Unbiased Item Recommendation	Apr 26, 2022	Recommendation Systems	CodeCode Available	1
A Review-aware Graph Contrastive Learning Framework for Recommendation	Apr 26, 2022	Contrastive LearningRecommendation Systems	CodeCode Available	1
Revisiting Graph based Social Recommendation: A Distillation Enhanced Social Graph Network	Apr 25, 2022	Knowledge DistillationRecommendation Systems	—Unverified	0
FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback	Apr 25, 2022	Exposure FairnessFairness	CodeCode Available	1
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations	Apr 25, 2022	Recommendation Systems	—Unverified	0
Estimating and Penalizing Induced Preference Shifts in Recommender Systems	Apr 25, 2022	Recommendation Systems	—Unverified	0
Long-run User Value Optimization in Recommender Systems through Content Creation Modeling	Apr 25, 2022	BIG-bench Machine LearningRecommendation Systems	—Unverified	0
Determinantal Point Process Likelihoods for Sequential Recommendation	Apr 25, 2022	DiversityRecommendation Systems	CodeCode Available	1
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations	Apr 24, 2022	DiversityExplainable Models	CodeCode Available	1
ReLoop: A Self-Correction Continual Learning Loop for Recommender Systems	Apr 24, 2022	Continual LearningRecommendation Systems	—Unverified	0
Explainable Fairness in Recommendation	Apr 24, 2022	counterfactualFairness	—Unverified	0
Less is More: Reweighting Important Spectral Graph Features for Recommendation	Apr 24, 2022	Collaborative FilteringDenoising	CodeCode Available	1
On-Device Next-Item Recommendation with Self-Supervised Knowledge Distillation	Apr 23, 2022	Knowledge DistillationRecommendation Systems	CodeCode Available	1
Subscriptions and external links help drive resentful users to alternative and extremist YouTube videos	Apr 22, 2022	Recommendation Systems	CodeCode Available	0
Exploiting Session Information in BERT-based Session-aware Sequential Recommendation	Apr 22, 2022	Recommendation SystemsSequential Recommendation	CodeCode Available	1
Using consumer feedback from location-based services in PoI recommender systems for people with autism	Apr 21, 2022	Recommendation SystemsRetrieval	—Unverified	0
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach	Apr 20, 2022	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Multi-Level Interaction Reranking with User Behavior History	Apr 20, 2022	Recommendation SystemsReranking	CodeCode Available	1
Multi-Auxiliary Augmented Collaborative Variational Auto-encoder for Tag Recommendation	Apr 20, 2022	DecoderRecommendation Systems	—Unverified	0
User-Centric Conversational Recommendation with Multi-Aspect User Modeling	Apr 20, 2022	Conversational RecommendationDialogue Generation	CodeCode Available	1
AutoField: Automating Feature Selection in Deep Recommender Systems	Apr 19, 2022	AutoMLfeature selection	CodeCode Available	1
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System	Apr 19, 2022	Contrastive LearningData Augmentation	CodeCode Available	1
Partial Relaxed Optimal Transport for Denoised Recommendation	Apr 19, 2022	DenoisingRecommendation Systems	—Unverified	0
Learning Similarity Preserving Binary Codes for Recommender Systems	Apr 18, 2022	BinarizationCross-Modal Retrieval	—Unverified	0
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization	Apr 18, 2022	Collaborative FilteringRecommendation Systems	CodeCode Available	0
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation	Apr 18, 2022	Federated LearningNews Recommendation	—Unverified	0
CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems	Apr 17, 2022	FairnessRecommendation Systems	CodeCode Available	1
Causal Disentanglement with Network Information for Debiased Recommendations	Apr 14, 2022	Causal InferenceDisentanglement	—Unverified	0
A Unified Analysis of Dynamic Interactive Learning	Apr 14, 2022	Recommendation Systems	—Unverified	0
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems	Apr 14, 2022	Multi-Task LearningRecommendation Systems	CodeCode Available	0
Self-Guided Learning to Denoise for Robust Recommendation	Apr 14, 2022	DenoisingMemorization	CodeCode Available	1
Do Loyal Users Enjoy Better Recommendations? Understanding Recommender Accuracy from a Time Perspective	Apr 12, 2022	Recommendation Systems	CodeCode Available	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