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 4651–4700 of 6047 papers

Title	Date	Tasks	Status	Hype
A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation	Mar 20, 2020	AttributeRecommendation Systems	—Unverified	0
Survey of Privacy-Preserving Collaborative Filtering	Mar 18, 2020	Collaborative FilteringPrivacy Preserving	—Unverified	0
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information	Mar 16, 2020	Recommendation Systems	—Unverified	0
Deep Neural Review Text Interaction for Recommendation Systems	Mar 16, 2020	Recommendation SystemsSmall Data Image Classification	—Unverified	0
Developing a Recommendation Benchmark for MLPerf Training and Inference	Mar 16, 2020	Deep Learningimage-classification	—Unverified	0
Exploring User Opinions of Fairness in Recommender Systems	Mar 13, 2020	FairnessRecommendation Systems	—Unverified	0
On the effectiveness of convolutional autoencoders on image-based personalized recommender systems	Mar 13, 2020	Data AugmentationRecommendation Systems	—Unverified	0
Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning	Mar 12, 2020	Graph Neural NetworkKnowledge Graphs	—Unverified	0
Learning Diverse Fashion Collocation by Neural Graph Filtering	Mar 11, 2020	Graph Neural NetworkRecommendation Systems	—Unverified	0
Uncovering the Data-Related Limits of Human Reasoning Research: An Analysis based on Recommender Systems	Mar 11, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Time-varying Gaussian Process Bandit Optimization with Non-constant Evaluation Time	Mar 10, 2020	Bayesian OptimizationRecommendation Systems	—Unverified	0
LIMEADE: From AI Explanations to Advice Taking	Mar 9, 2020	BIG-bench Machine Learningimage-classification	CodeCode Available	0
Price-aware Recommendation with Graph Convolutional Networks	Mar 9, 2020	Collaborative FilteringMarketing	CodeCode Available	0
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks	Mar 8, 2020	Recommendation Systems	CodeCode Available	1
ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training	Mar 7, 2020	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
Friend Recommendation based on Hashtags Analysis	Mar 7, 2020	ClusteringRecommendation Systems	—Unverified	0
Knowledge Graphs and Knowledge Networks: The Story in Brief	Mar 7, 2020	Knowledge GraphsLink Prediction	—Unverified	0
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew	Mar 6, 2020	AllRecommendation Systems	—Unverified	0
Contextual Blocking Bandits	Mar 6, 2020	BlockingNovel Concepts	—Unverified	0
Recommender Systems Based on Generative Adversarial Networks: A Problem-Driven Perspective	Mar 5, 2020	Data AugmentationRecommendation Systems	—Unverified	0
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model	Mar 5, 2020	Missing ValuesRecommendation Systems	—Unverified	0
A Survey on Deep Hashing Methods	Mar 4, 2020	Deep HashingDomain Adaptation	—Unverified	0
Learning to Hash with Graph Neural Networks for Recommender Systems	Mar 4, 2020	Deep HashingGraph Representation Learning	—Unverified	0
Robust Active Preference Elicitation	Mar 4, 2020	Recommendation Systems	—Unverified	0
Federating Recommendations Using Differentially Private Prototypes	Mar 1, 2020	Recommendation Systems	—Unverified	0
An Information-Theoretic Approach to Personalized Explainable Machine Learning	Mar 1, 2020	BIG-bench Machine LearningDecision Making	—Unverified	0
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests	Feb 29, 2020	Recommendation Systems	—Unverified	0
A Survey on Knowledge Graph-Based Recommender Systems	Feb 28, 2020	Explainable RecommendationRecommendation Systems	—Unverified	0
Handling Position Bias for Unbiased Learning to Rank in Hotels Search	Feb 28, 2020	Learning-To-RankPosition	—Unverified	0
CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles	Feb 27, 2020	ArticlesCollaborative Filtering	CodeCode Available	1
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations	Feb 26, 2020	AutoMLRecommendation Systems	—Unverified	0
DeBayes: a Bayesian Method for Debiasing Network Embeddings	Feb 26, 2020	BIG-bench Machine LearningDecision Making	CodeCode Available	0
SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback	Feb 23, 2020	Collaborative RankingRecommendation Systems	CodeCode Available	1
Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations	Feb 22, 2020	Click-Through Rate PredictionMulti-Task Learning	CodeCode Available	0
Leveraging Cross Feedback of User and Item Embeddings with Attention for Variational Autoencoder based Collaborative Filtering	Feb 21, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
Learning Fairness-aware Relational Structures	Feb 21, 2020	FairnessRecommendation Systems	—Unverified	0
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems	Feb 21, 2020	Recommendation Systems	—Unverified	0
Debiased Off-Policy Evaluation for Recommendation Systems	Feb 20, 2020	counterfactualOff-policy evaluation	—Unverified	0
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems	Feb 20, 2020	QuantizationRecommendation Systems	—Unverified	0
Regret Minimization in Stochastic Contextual Dueling Bandits	Feb 20, 2020	Decision MakingInformation Retrieval	—Unverified	0
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems	Feb 19, 2020	Data PoisoningRecommendation Systems	—Unverified	0
Higher-Order Label Homogeneity and Spreading in Graphs	Feb 18, 2020	Fraud DetectionRecommendation Systems	CodeCode Available	0
Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems	Feb 18, 2020	FairnessRecommendation Systems	—Unverified	0
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset	Feb 17, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Generalized Embedding Machines for Recommender Systems	Feb 16, 2020	Recommendation Systems	—Unverified	0
HybridCite: A Hybrid Model for Context-Aware Citation Recommendation	Feb 15, 2020	Citation RecommendationInformation Retrieval	CodeCode Available	0
Attentive Item2Vec: Neural Attentive User Representations	Feb 15, 2020	Recommendation Systems	—Unverified	0
VisMaker: a Question-Oriented Visualization Recommender System for Data Exploration	Feb 14, 2020	Recommendation Systems	—Unverified	0
Data Efficient Training for Reinforcement Learning with Adaptive Behavior Policy Sharing	Feb 12, 2020	Atari GamesDecision Making	—Unverified	0
A Bayesian Approach to Conversational Recommendation Systems	Feb 12, 2020	Conversational RecommendationRecommendation 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