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 2751–2800 of 6047 papers

Title	Date	Tasks	Status	Hype
A Bird's-eye View of Reranking: from List Level to Page Level	Nov 17, 2022	Mixture-of-ExpertsRecommendation Systems	CodeCode Available	0
Learning to Counterfactually Explain Recommendations	Nov 17, 2022	counterfactualRecommendation Systems	—Unverified	0
Speeding Up Recommender Systems Using Association Rules	Nov 16, 2022	Recommendation Systems	—Unverified	0
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders	Nov 16, 2022	Causal InferenceFairness	—Unverified	0
Prediction Accuracy and Autonomy	Nov 15, 2022	EthicsPrediction	—Unverified	0
User-Specific Bicluster-based Collaborative Filtering: Handling Preference Locality, Sparsity and Subjectivity	Nov 15, 2022	Collaborative FilteringDiversity	—Unverified	0
AdaptKeyBERT: An Attention-Based approach towards Few-Shot & Zero-Shot Domain Adaptation of KeyBERT	Nov 14, 2022	Domain AdaptationFact Verification	CodeCode Available	1
MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System	Nov 14, 2022	Recommendation Systems	CodeCode Available	0
Talent Recommendation on LinkedIn User Profiles	Nov 14, 2022	Recommendation Systems	CodeCode Available	1
A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation	Nov 13, 2022	DenoisingGraph structure learning	CodeCode Available	1
FedRule: Federated Rule Recommendation System with Graph Neural Networks	Nov 13, 2022	Link PredictionRecommendation Systems	CodeCode Available	1
Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling	Nov 12, 2022	DiversityEpidemiology	—Unverified	0
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation	Nov 11, 2022	Decision MakingRecommendation Systems	—Unverified	0
Situating Recommender Systems in Practice: Towards Inductive Learning and Incremental Updates	Nov 11, 2022	Inductive LearningRecommendation Systems	—Unverified	0
STAR: A Session-Based Time-Aware Recommender System	Nov 11, 2022	Recommendation SystemsSession-Based Recommendations	CodeCode Available	0
Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection	Nov 8, 2022	Adversarial RobustnessRecommendation Systems	—Unverified	0
TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering	Nov 8, 2022	Collaborative FilteringRecommendation Systems	—Unverified	0
Submission-Aware Reviewer Profiling for Reviewer Recommender System	Nov 8, 2022	Recommendation Systems	—Unverified	0
Hyperbolic Graph Representation Learning: A Tutorial	Nov 8, 2022	Graph LearningGraph Representation Learning	—Unverified	0
Debiasing Graph Transfer Learning via Item Semantic Clustering for Cross-Domain Recommendations	Nov 7, 2022	ClusteringRecommendation Systems	CodeCode Available	0
Justification of Recommender Systems Results: A Service-based Approach	Nov 7, 2022	Recommendation Systems	—Unverified	0
Unlearning Graph Classifiers with Limited Data Resources	Nov 6, 2022	Graph ClassificationMachine Unlearning	CodeCode Available	1
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization	Nov 6, 2022	Combinatorial OptimizationDeep Reinforcement Learning	—Unverified	0
Deep Factorization Model for Robust Recommendation	Nov 5, 2022	modelRecommendation Systems	—Unverified	0
Aligning Recommendation and Conversation via Dual Imitation	Nov 5, 2022	Conversational RecommendationRecommendation Systems	—Unverified	0
Forecasting User Interests Through Topic Tag Predictions in Online Health Communities	Nov 5, 2022	Recommendation SystemsText2text Generation	—Unverified	0
KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction	Nov 4, 2022	Fraud DetectionKnowledge Graph Completion	CodeCode Available	1
Where Do We Go From Here? Guidelines For Offline Recommender Evaluation	Nov 2, 2022	Hyperparameter OptimizationRecommendation Systems	—Unverified	0
Using Machine Learning and Pattern-Based Methods for Identifying Elements in Chinese Judgment Documents of Civil Cases	Nov 1, 2022	Recommendation Systems	—Unverified	0
Using coevolution and substitution of the fittest for health and well-being recommender systems	Nov 1, 2022	Recommendation Systems	—Unverified	0
Strategies for Optimizing End-to-End Artificial Intelligence Pipelines on Intel Xeon Processors	Nov 1, 2022	Hyperparameter OptimizationRecommendation Systems	—Unverified	0
Asymmetric Hashing for Fast Ranking via Neural Network Measures	Nov 1, 2022	Recommendation Systems	—Unverified	0
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective	Oct 31, 2022	Model OptimizationRecommendation Systems	—Unverified	0
FELRec: Efficient Handling of Item Cold-Start With Dynamic Representation Learning in Recommender Systems	Oct 30, 2022	Recommendation SystemsRepresentation Learning	CodeCode Available	0
Track2Vec: fairness music recommendation with a GPU-free customizable-driven framework	Oct 29, 2022	DiversityFairness	CodeCode Available	1
Non-Stationary Bandits with Auto-Regressive Temporal Dependency	Oct 28, 2022	MarketingRecommendation Systems	—Unverified	0
Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization	Oct 28, 2022	Recommendation Systems	—Unverified	0
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction	Oct 28, 2022	Click-Through Rate PredictionMeta-Learning	CodeCode Available	0
Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks	Oct 26, 2022	DisentanglementInformation Retrieval	CodeCode Available	0
Constrained Approximate Similarity Search on Proximity Graph	Oct 26, 2022	QuantizationRecommendation Systems	—Unverified	0
Recommendation with User Active Disclosing Willingness	Oct 25, 2022	Recommendation Systems	—Unverified	0
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)	Oct 25, 2022	MemorizationRecommendation Systems	—Unverified	0
Towards Robust Recommender Systems via Triple Cooperative Defense	Oct 25, 2022	Pseudo LabelRecommendation Systems	—Unverified	0
Reading Between the Lines: Modeling User Behavior and Costs in AI-Assisted Programming	Oct 25, 2022	Code CompletionRecommendation Systems	CodeCode Available	1
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings	Oct 25, 2022	Federated LearningRecommendation Systems	—Unverified	0
Item-based Variational Auto-encoder for Fair Music Recommendation	Oct 24, 2022	DiversityFairness	CodeCode Available	1
Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook	Oct 24, 2022	Recommendation Systemsreinforcement-learning	—Unverified	0
Heterogeneous Information Crossing on Graphs for Session-based Recommender Systems	Oct 24, 2022	Contrastive LearningRecommendation Systems	—Unverified	0
Online Information Retrieval Evaluation using the STELLA Framework	Oct 24, 2022	Information RetrievalRecommendation Systems	—Unverified	0
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders	Oct 22, 2022	Language ModellingRecommendation Systems	CodeCode Available	1

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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