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

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Showing 1301–1350 of 6047 papers

Title	Date	Tasks	Status
AUC Optimisation and Collaborative Filtering	Aug 25, 2015	Collaborative FilteringRecommendation Systems	—Unverified
At Your Service: Coffee Beans Recommendation From a Robot Assistant	Aug 26, 2020	Recommendation Systems	—Unverified
AdaS&S: a One-Shot Supernet Approach for Automatic Embedding Size Search in Deep Recommender System	Nov 12, 2024	Recommendation Systems	—Unverified
A TV Program Discovery Dialog System using recommendations	Sep 1, 2015	Named Entity Recognition (NER)Recommendation Systems	—Unverified
A Tutorial On Intersectionality in Fair Rankings	Feb 7, 2025	DiversityFairness	—Unverified
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System	Jun 10, 2020	Feature EngineeringNeural Architecture Search	—Unverified
Accelerating Sparse Graph Neural Networks with Tensor Core Optimization	Dec 16, 2024	Computational EfficiencyGPU	—Unverified
Debiased Model-based Interactive Recommendation	Feb 24, 2024	Contrastive LearningInteractive Recommendation	—Unverified
A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions	Dec 11, 2024	Federated LearningRecommendation Systems	—Unverified
A Mechanism for Optimizing Media Recommender Systems	Jun 23, 2024	Recommendation Systems	—Unverified
DCRNN: A Deep Cross approach based on RNN for Partial Parameter Sharing in Multi-task Learning	Oct 18, 2023	Multi-Task LearningRecommendation Systems	—Unverified
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation	Sep 17, 2021	Decision MakingOffline RL	—Unverified
Attribute-aware Explainable Complementary Clothing Recommendation	Jul 4, 2021	AttributeRecommendation Systems	—Unverified
DDTCDR: Deep Dual Transfer Cross Domain Recommendation	Oct 11, 2019	Recommendation SystemsTransfer Learning	—Unverified
Attentive Neural Architecture Incorporating Song Features For Music Recommendation	Nov 20, 2018	Future predictionMusic Recommendation	—Unverified
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation	Sep 5, 2021	Click-Through Rate PredictionKnowledge-Aware Recommendation	—Unverified
A Matrix Decomposition Model Based on Feature Factors in Movie Recommendation System	Jun 12, 2022	AttributeCollaborative Filtering	—Unverified
Attentive Item2Vec: Neural Attentive User Representations	Feb 15, 2020	Recommendation Systems	—Unverified
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering	Oct 24, 2020	Collaborative FilteringRecommendation Systems	—Unverified
A Machine-Learned Ranking Algorithm for Dynamic and Personalised Car Pooling Services	Jul 6, 2023	Learning-To-RankRecommendation Systems	—Unverified
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems	Oct 6, 2023	NavigateRecommendation Systems	—Unverified
Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach	Mar 28, 2024	Graph Representation LearningMultimodal Recommendation	—Unverified
Debiased Recommendation with User Feature Balancing	Jan 16, 2022	Causal InferenceRecommendation Systems	—Unverified
Attention Span For Personalisation	Jul 30, 2016	Recommendation Systems	—Unverified
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction	Apr 17, 2023	Click-Through Rate PredictionDiversity	—Unverified
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization	Apr 20, 2025	Compressive SensingFew-Shot Learning	—Unverified
Attention is all you need for boosting graph convolutional neural network	Mar 10, 2024	AllKnowledge Distillation	—Unverified
Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System	Jul 22, 2024	Recommendation SystemsRetrieval	—Unverified
Attention-guided Spectrogram Sequence Modeling with CNNs for Music Genre Classification	Nov 18, 2024	ClassificationGenre classification	—Unverified
Attention Filtering for Multi-person Spatiotemporal Action Detection on Deep Two-Stream CNN Architectures	Jul 21, 2019	Action DetectionGeneral Classification	—Unverified
AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems	Dec 11, 2024	Feature Importancefeature selection	—Unverified
Attention-based sequential recommendation system using multimodal data	May 28, 2024	Recommendation SystemsSequential Recommendation	—Unverified
Attention-Based Recommendation On Graphs	Jan 4, 2022	Collaborative FilteringRecommendation Systems	—Unverified
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems	May 4, 2021	Recommendation Systems	—Unverified
Attention-based Multimodal Feature Representation Model for Micro-video Recommendation	May 18, 2022	Recommendation Systems	—Unverified
Attention-based Dynamic Subspace Learners for Medical Image Analysis	Jun 18, 2022	ClusteringImage Clustering	—Unverified
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization	Jun 1, 2016	ClusteringFeature Engineering	—Unverified
Attentional Autoencoder for Course Recommendation in MOOC with Course Relevance	Oct 29, 2020	Recommendation Systems	—Unverified
Attainment Ratings for Graph-Query Recommendation	Aug 17, 2018	Recommendation Systems	—Unverified
Adaptive Utilization of Cross-scenario Information for Multi-scenario Recommendation	Jul 29, 2024	Recommendation Systems	—Unverified
Data Scarcity in Recommendation Systems: A Survey	Dec 8, 2023	Data AugmentationRecommendation Systems	—Unverified
A Long-Short Demands-Aware Model for Next-Item Recommendation	Feb 12, 2019	Recommendation Systems	—Unverified
Data Quality in Edge Machine Learning: A State-of-the-Art Survey	Jun 1, 2024	Autonomous DrivingEdge-computing	—Unverified
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users	Jun 20, 2017	Decision MakingRecommendation Systems	—Unverified
Attack Detection Using Item Vector Shift in Matrix Factorisation Recommenders	Dec 1, 2023	Recommendation Systems	—Unverified
Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR)	Sep 24, 2023	Recommendation Systems	—Unverified
Dataset-Agnostic Recommender Systems	Jan 13, 2025	Feature Engineeringfeature selection	—Unverified
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups	Sep 27, 2019	Collaborative FilteringRecommendation Systems	—Unverified
A Transfer Learning Framework for Multilayer Networks via Model Averaging	Jun 14, 2025	Link PredictionPrivacy Preserving	—Unverified
A Load Balanced Recommendation Approach	May 20, 2021	Collaborative FilteringDiversity	—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