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 4751–4800 of 6047 papers

Title	Date	Tasks	Status	Hype
Memory Augmented Graph Neural Networks for Sequential Recommendation	Dec 26, 2019	Graph Neural NetworkRecommendation Systems	CodeCode Available	0
Convolutional Quantum-Like Language Model with Mutual-Attention for Product Rating Prediction	Dec 25, 2019	Language ModelingLanguage Modelling	—Unverified	0
A Drug Recommendation System (Dr.S) for cancer cell lines	Dec 24, 2019	BIG-bench Machine LearningRecommendation Systems	—Unverified	0
RecVAE: a New Variational Autoencoder for Top-N Recommendations with Implicit Feedback	Dec 24, 2019	Collaborative FilteringRecommendation Systems	CodeCode Available	0
An Explainable Autoencoder For Collaborative Filtering Recommendation	Dec 23, 2019	Collaborative FilteringDeep Learning	—Unverified	0
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data	Dec 22, 2019	Causal Inferencecounterfactual	—Unverified	0
ET-USB: Transformer-Based Sequential Behavior Modeling for Inbound Customer Service	Dec 20, 2019	Deep LearningRecommendation Systems	—Unverified	0
Recommendations and User Agency: The Reachability of Collaboratively-Filtered Information	Dec 20, 2019	Recommendation Systems	CodeCode Available	0
Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems	Dec 19, 2019	Dimensionality ReductionRecommendation Systems	CodeCode Available	0
Bounded Manifold Completion	Dec 19, 2019	Dimensionality ReductionImage Inpainting	—Unverified	0
Meta Decision Trees for Explainable Recommendation Systems	Dec 19, 2019	AttributeCollaborative Filtering	—Unverified	0
Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation	Dec 18, 2019	Recommendation Systems	—Unverified	0
Expanding Label Sets for Graph Convolutional Networks	Dec 18, 2019	ClusteringGeneral Classification	—Unverified	0
Collaborative Filtering vs. Content-Based Filtering: differences and similarities	Dec 18, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
An Adaptive Similarity Measure to Tune Trust Influence in Memory-Based Collaborative Filtering	Dec 18, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Meta-Learned Per-Instance Algorithm Selection in Scholarly Recommender Systems	Dec 18, 2019	Meta-LearningRecommendation Systems	—Unverified	0
Seq2seq Translation Model for Sequential Recommendation	Dec 16, 2019	modelRecommendation Systems	—Unverified	0
Global and country-specific mainstreaminess measures: Definitions, analysis, and usage for improving personalized music recommendation systems	Dec 14, 2019	Music RecommendationRecommendation Systems	—Unverified	0
Improved Explanatory Efficacy on Human Affect and Workload through Interactive Process in Artificial Intelligence	Dec 13, 2019	EEGElectroencephalogram (EEG)	—Unverified	0
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework	Dec 11, 2019	Collaborative FilteringDiversity	—Unverified	0
Deep Latent Factor Model for Collaborative Filtering	Dec 10, 2019	BIG-bench Machine LearningCollaborative Filtering	—Unverified	0
The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study	Dec 10, 2019	Music RecommendationRecommendation Systems	CodeCode Available	1
CARec: Content-Aware Point-of-Interest Recommendation via Adaptive Bayesian Personalized Ranking	Dec 9, 2019	Recommendation Systems	CodeCode Available	0
Multi-Gradient Descent for Multi-Objective Recommender Systems	Dec 9, 2019	Recommendation Systems	CodeCode Available	0
Recurrent Point Processes for Dynamic Review Models	Dec 9, 2019	Point ProcessesRecommendation Systems	—Unverified	0
ragamAI: A Network Based Recommender System to Arrange a Indian Classical Music Concert	Dec 8, 2019	Recommendation Systems	—Unverified	0
Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development	Dec 7, 2019	MULTI-VIEW LEARNINGRecommendation Systems	—Unverified	0
Addressing Marketing Bias in Product Recommendations	Dec 4, 2019	Collaborative FilteringFairness	CodeCode Available	0
A Fast Matrix-Completion-Based Approach for Recommendation Systems	Dec 2, 2019	Matrix CompletionRecommendation Systems	—Unverified	0
Data Poisoning Attacks on Neighborhood-based Recommender Systems	Dec 1, 2019	Collaborative FilteringData Poisoning	—Unverified	0
Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity	Dec 1, 2019	DiversityLearning-To-Rank	—Unverified	0
Text-Based Interactive Recommendation via Constraint-Augmented Reinforcement Learning	Dec 1, 2019	Interactive RecommendationRecommendation Systems	—Unverified	0
A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation	Dec 1, 2019	Generative Adversarial NetworkModel-based Reinforcement Learning	CodeCode Available	0
Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model	Dec 1, 2019	BIG-bench Machine LearningImputation	CodeCode Available	0
On model selection for scalable time series forecasting in transport networks	Nov 29, 2019	ClusteringDeep Learning	—Unverified	0
Rethinking the Item Order in Session-based Recommendation with Graph Neural Networks	Nov 27, 2019	Graph ClassificationRecommendation Systems	CodeCode Available	0
Deep Learning with Gaussian Differential Privacy	Nov 26, 2019	Deep LearningGeneral Classification	CodeCode Available	0
Projective Quadratic Regression for Online Learning	Nov 25, 2019	Feature EngineeringRecommendation Systems	—Unverified	0
Multi-Component Graph Convolutional Collaborative Filtering	Nov 25, 2019	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data	Nov 24, 2019	ClusteringRecommendation Systems	CodeCode Available	0
SWAG: Item Recommendations using Convolutions on Weighted Graphs	Nov 22, 2019	Recommendation Systems	—Unverified	0
Order Matters at Fanatics Recommending Sequentially Ordered Products by LSTM Embedded with Word2Vec	Nov 22, 2019	Recommendation Systems	—Unverified	0
Gradient-based Optimization for Bayesian Preference Elicitation	Nov 20, 2019	Recommendation Systems	—Unverified	0
PRINCE: Provider-side Interpretability with Counterfactual Explanations in Recommender Systems	Nov 19, 2019	counterfactualRecommendation Systems	CodeCode Available	0
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research	Nov 18, 2019	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation	Nov 18, 2019	Graph AttentionRecommendation Systems	—Unverified	0
Spectral Geometric Matrix Completion	Nov 17, 2019	Matrix CompletionRecommendation Systems	CodeCode Available	0
The Potential of the Confluence of Theoretical and Algorithmic Modeling in Music Recommendation	Nov 17, 2019	Music RecommendationPosition	—Unverified	0
Unreliable Multi-Armed Bandits: A Novel Approach to Recommendation Systems	Nov 14, 2019	Multi-Armed BanditsRecommendation Systems	—Unverified	0
Generating Stereotypes Automatically For Complex Categorical Features	Nov 13, 2019	ClusteringRecommendation 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