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 5201–5250 of 6047 papers

Title	Date	Tasks	Status	Hype
Knowledge Representation Learning: A Quantitative Review	Dec 28, 2018	General ClassificationInformation Retrieval	CodeCode Available	2
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System	Dec 27, 2018	Generative Adversarial NetworkModel-based Reinforcement Learning	CodeCode Available	0
Deep Item-based Collaborative Filtering for Sparse Implicit Feedback	Dec 26, 2018	Collaborative FilteringRecommendation Systems	—Unverified	0
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling	Dec 25, 2018	Recommendation SystemsRepresentation Learning	—Unverified	0
Deep Autoencoder for Recommender Systems: Parameter Influence Analysis	Dec 25, 2018	Recommendation Systems	—Unverified	0
Recommendation System based on Semantic Scholar Mining and Topic modeling: A behavioral analysis of researchers from six conferences	Dec 20, 2018	Recommendation Systems	—Unverified	0
A Fuzzy Community-Based Recommender System Using PageRank	Dec 18, 2018	Community DetectionRecommendation Systems	—Unverified	0
Towards Deep Conversational Recommendations	Dec 18, 2018	Conversational RecommendationRecommendation Systems	CodeCode Available	0
Deep Heterogeneous Autoencoders for Collaborative Filtering	Dec 17, 2018	Collaborative FilteringRecommendation Systems	—Unverified	0
Domain-to-Domain Translation Model for Recommender System	Dec 15, 2018	modelMulti-Domain Recommender Systems	—Unverified	0
Data-Driven Interaction Review of an Ed-Tech Application	Dec 13, 2018	Recommendation Systems	—Unverified	0
Enriching Article Recommendation with Phrase Awareness	Dec 12, 2018	InformativenessRecommendation Systems	—Unverified	0
Learning Item-Interaction Embeddings for User Recommendations	Dec 11, 2018	Computational EfficiencyRecommendation Systems	—Unverified	0
Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems	Dec 10, 2018	Learning-To-RankRecommendation Systems	—Unverified	0
Gated Attentive-Autoencoder for Content-Aware Recommendation	Dec 7, 2018	Product RecommendationRecommendation Systems	CodeCode Available	1
Exploiting Implicit Trust and Geo-social Network for Recommendation	Dec 6, 2018	Collaborative FilteringRecommendation Systems	—Unverified	0
Top-K Off-Policy Correction for a REINFORCE Recommender System	Dec 6, 2018	Recommendation Systems	—Unverified	0
Utilizing Imbalanced Data and Classification Cost Matrix to Predict Movie Preferences	Dec 4, 2018	ClassificationGeneral Classification	—Unverified	0
Structured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction	Dec 4, 2018	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	0
Learning Representations of Social Media Users	Dec 2, 2018	Recommendation Systems	—Unverified	0
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems	Dec 2, 2018	FairnessRecommendation Systems	CodeCode Available	0
Maximizing Induced Cardinality Under a Determinantal Point Process	Dec 1, 2018	Point ProcessesRecommendation Systems	—Unverified	0
Fighting Boredom in Recommender Systems with Linear Reinforcement Learning	Dec 1, 2018	Recommendation Systemsreinforcement-learning	—Unverified	0
Modeling Dynamic Missingness of Implicit Feedback for Recommendation	Dec 1, 2018	Collaborative FilteringRecommendation Systems	—Unverified	0
Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward	Dec 1, 2018	Decision MakingMulti-Armed Bandits	—Unverified	0
Mixture Matrix Completion	Dec 1, 2018	ClusteringMatrix Completion	—Unverified	0
How to Profile Privacy-Conscious Users in Recommender Systems	Dec 1, 2018	Recommendation Systems	—Unverified	0
One-at-a-time: A Meta-Learning Recommender-System for Recommendation-Algorithm Selection on Micro Level	Nov 30, 2018	Meta-LearningRecommendation Systems	—Unverified	0
A new system-wide diversity measure for recommendations with efficient algorithms	Nov 30, 2018	DiversityRecommendation Systems	—Unverified	0
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank	Nov 30, 2018	Document SummarizationLearning-To-Rank	CodeCode Available	0
Active Learning in Recommendation Systems with Multi-level User Preferences	Nov 30, 2018	Active LearningRecommendation Systems	—Unverified	0
A Review on Recommendation Systems: Context-aware to Social-based	Nov 28, 2018	Recommendation Systems	—Unverified	0
Movie Recommendation System using Sentiment Analysis from Microblogging Data	Nov 27, 2018	Collaborative FilteringMovie Recommendation	CodeCode Available	0
Rotting bandits are not harder than stochastic ones	Nov 27, 2018	Multi-Armed BanditsRecommendation Systems	—Unverified	0
Questioning the assumptions behind fairness solutions	Nov 27, 2018	Decision MakingFairness	—Unverified	0
The Architecture of Mr. DLib's Scientific Recommender-System API	Nov 26, 2018	ArticlesRecommendation Systems	—Unverified	0
ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers	Nov 26, 2018	Meta-LearningRecommendation Systems	—Unverified	0
Sequential Variational Autoencoders for Collaborative Filtering	Nov 25, 2018	Recommendation Systems	CodeCode Available	0
Recommending Users: Whom to Follow on Federated Social Networks	Nov 22, 2018	Collaborative FilteringRecommendation Systems	—Unverified	0
Attentive Neural Architecture Incorporating Song Features For Music Recommendation	Nov 20, 2018	Future predictionMusic Recommendation	—Unverified	0
Reinforcement Learning and Inverse Reinforcement Learning with System 1 and System 2	Nov 19, 2018	Recommendation Systemsreinforcement-learning	—Unverified	0
Fine-Grained User Profiling for Personalized Task Matching in Mobile Crowdsensing	Nov 14, 2018	Recommendation Systems	—Unverified	0
Incentivizing Exploration with Selective Data Disclosure	Nov 14, 2018	Efficient ExplorationRecommendation Systems	—Unverified	0
Large-scale Interactive Recommendation with Tree-structured Policy Gradient	Nov 14, 2018	ClusteringInteractive Recommendation	—Unverified	0
Bandana: Using Non-volatile Memory for Storing Deep Learning Models	Nov 14, 2018	Deep Learninghypergraph partitioning	—Unverified	0
Explainable Reasoning over Knowledge Graphs for Recommendation	Nov 12, 2018	Knowledge GraphsRecommendation Systems	CodeCode Available	0
Quantum-inspired sublinear classical algorithms for solving low-rank linear systems	Nov 12, 2018	Recommendation Systems	—Unverified	0
Deep Item-based Collaborative Filtering for Top-N Recommendation	Nov 11, 2018	Collaborative FilteringDecision Making	CodeCode Available	0
SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation	Nov 7, 2018	Collaborative FilteringRecommendation Systems	—Unverified	0
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning	Nov 6, 2018	counterfactualRecommendation 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