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 3701–3750 of 6047 papers

Title	Date	Tasks	Status
Variation Control and Evaluation for Generative SlateRecommendations	Feb 26, 2021	Recommendation Systems	—Unverified
VECTORIZATION METHODS IN RECOMMENDER SYSTEM	Sep 27, 2018	Collaborative FilteringPosition	—Unverified
Vector Space Model as Cognitive Space for Text Classification	Aug 21, 2017	Author ProfilingClassification	—Unverified
VideolandGPT: A User Study on a Conversational Recommender System	Sep 7, 2023	FairnessRecommendation Systems	—Unverified
Network-Based Video Recommendation Using Viewing Patterns and Modularity Analysis: An Integrated Framework	Aug 24, 2023	ClusteringCollaborative Filtering	—Unverified
ViewpointS: towards a Collective Brain	Sep 3, 2018	Recommendation Systems	—Unverified
Virtual Citation Proximity (VCP): Empowering Document Recommender Systems by Learning a Hypothetical In-Text Citation-Proximity Metric for Uncited Documents	Aug 1, 2020	ArticlesRecommendation Systems	—Unverified
VisMaker: a Question-Oriented Visualization Recommender System for Data Exploration	Feb 14, 2020	Recommendation Systems	—Unverified
Vista: A Visually, Socially, and Temporally-aware Model for Artistic Recommendation	Jul 15, 2016	Recommendation Systems	—Unverified
Visual analytics in FCA-based clustering	Apr 21, 2015	ClusteringDecision Making	—Unverified
Visualization for Recommendation Explainability: A Survey and New Perspectives	May 19, 2023	Explainable RecommendationRecommendation Systems	—Unverified
VisualLens: Personalization through Visual History	Nov 25, 2024	DiversityRecommendation Systems	—Unverified
Visually-Aware Fashion Recommendation and Design with Generative Image Models	Nov 7, 2017	Recommendation Systems	—Unverified
Visually-Aware Personalized Recommendation using Interpretable Image Representations	Jun 26, 2018	Interactive RecommendationRecommendation Systems	—Unverified
Visually-aware Recommendation with Aesthetic Features	May 2, 2019	Decision MakingRecommendation Systems	—Unverified
Visually Explainable Recommendation	Jan 31, 2018	Explainable RecommendationRecommendation Systems	—Unverified
VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation	Feb 16, 2022	DescriptiveMovie Recommendation	—Unverified
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions	Jul 14, 2024	Click-Through Rate PredictionGraph Neural Network	—Unverified
Wasserstein Autoencoders for Collaborative Filtering	Sep 15, 2018	Collaborative FilteringRecommendation Systems	—Unverified
Wasserstein Dependent Graph Attention Network for Collaborative Filtering with Uncertainty	Apr 9, 2024	Collaborative FilteringGraph Attention	—Unverified
Machine learning equipped web based disease prediction and recommender system	Jun 5, 2021	BIG-bench Machine LearningDiagnostic	—Unverified
Weighted Graph Nodes Clustering via Gumbel Softmax	Feb 22, 2021	ClusteringGraph Clustering	—Unverified
Weighted Low Rank Matrix Approximation and Acceleration	Sep 22, 2021	Dimensionality ReductionLow-Rank Matrix Completion	—Unverified
Weighted Tallying Bandits: Overcoming Intractability via Repeated Exposure Optimality	May 4, 2023	Recommendation Systems	—Unverified
We Know What You Want: An Advertising Strategy Recommender System for Online Advertising	May 25, 2021	Recommendation Systems	—Unverified
Well-Argued Recommendation: Adaptive Models Based on Words in Recommender Systems	Oct 1, 2013	Collaborative FilteringRecommendation Systems	—Unverified
What Are We Optimizing For? A Human-centric Evaluation of Deep Learning-based Movie Recommenders	Jan 21, 2024	AttributeCollaborative Filtering	—Unverified
What are you optimizing for? Aligning Recommender Systems with Human Values	Jul 22, 2021	DiversityFairness	—Unverified
What BERTs and GPTs know about your brand? Probing contextual language models for affect associations	Jun 1, 2021	AttributeMarketing	—Unverified
What do we need to build explainable AI systems for the medical domain?	Dec 28, 2017	Autonomous DrivingGame of Go	—Unverified
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations	Nov 29, 2021	ArticlesRecommendation Systems	—Unverified
What Else Would I Like? A User Simulator using Alternatives for Improved Evaluation of Fashion Conversational Recommendation Systems	Jan 11, 2024	Conversational RecommendationImage Captioning	—Unverified
What LLMs Miss in Recommendations: Bridging the Gap with Retrieval-Augmented Collaborative Signals	May 27, 2025	RAGRecommendation Systems	—Unverified
What Makes Writing Great? First Experiments on Article Quality Prediction in the Science Journalism Domain	Jan 1, 2013	ArticlesInformation Retrieval	—Unverified
What Papers Should I Cite from my Reading List? User Evaluation of a Manuscript Preparatory Assistive Task	Jun 1, 2016	Information RetrievalRecommendation Systems	—Unverified
What's in a Name? -- Gender Classification of Names with Character Based Machine Learning Models	Feb 7, 2021	BIG-bench Machine LearningGender Classification	—Unverified
What to Write? A topic recommender for journalists	Sep 1, 2017	ArticlesRecommendation Systems	—Unverified
What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations	Dec 23, 2022	Collaborative FilteringRecommendation Systems	—Unverified
When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution	Apr 14, 2021	Bayesian InferenceCollaborative Filtering	—Unverified
When Are Linear Stochastic Bandits Attackable?	Oct 18, 2021	Decision MakingRecommendation Systems	—Unverified
When Graph Contrastive Learning Backfires: Spectral Vulnerability and Defense in Recommendation	Jul 10, 2025	Contrastive LearningRecommendation Systems	—Unverified
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?	May 2, 2023	MemorizationRecommendation Systems	—Unverified
When Online Algorithms Influence the Environment: A Dynamical Systems Analysis of the Unintended Consequences	Nov 21, 2024	AttributeRecommendation Systems	—Unverified
When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation	Aug 1, 2017	Recommendation SystemsSession-Based Recommendations	—Unverified
When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games	Jul 22, 2020	Recommendation Systems	—Unverified
Where Do We Go From Here? Guidelines For Offline Recommender Evaluation	Nov 2, 2022	Hyperparameter OptimizationRecommendation Systems	—Unverified
Which Tumblr Post Should I Read Next?	Aug 1, 2016	Collaborative FilteringMatrix Completion	—Unverified
Who is Really Affected by Fraudulent Reviews? An analysis of shilling attacks on recommender systems in real-world scenarios	Aug 21, 2018	Recommendation Systems	—Unverified
Whom do Explanations Serve? A Systematic Literature Survey of User Characteristics in Explainable Recommender Systems Evaluation	Dec 12, 2024	Recommendation Systems	—Unverified
Who Pays? Personalization, Bossiness and the Cost of Fairness	Sep 8, 2022	FairnessRecommendation Systems	—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