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 851–900 of 6047 papers

Title	Date	Tasks	Status	Hype
Utilizing Collaborative Filtering in a Personalized Research-Paper Recommendation System	Sep 28, 2024	Collaborative FilteringRecommendation Systems	—Unverified	0
Enhancing Robustness of Graph Neural Networks through p-Laplacian	Sep 27, 2024	Drug DiscoveryRecommendation Systems	—Unverified	0
Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs	Sep 27, 2024	GPURecommendation Systems	CodeCode Available	1
Less is More: Towards Sustainability-Aware Persuasive Explanations in Recommender Systems	Sep 27, 2024	Recommendation Systems	—Unverified	0
Value Identification in Multistakeholder Recommender Systems for Humanities and Historical Research: The Case of the Digital Archive Monasterium.net	Sep 26, 2024	Recommendation Systems	—Unverified	0
Autoregressive Generation Strategies for Top-K Sequential Recommendations	Sep 26, 2024	Recommendation SystemsSequential Recommendation	—Unverified	0
A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios	Sep 26, 2024	Collaborative FilteringMultimodal Recommendation	CodeCode Available	0
Minimizing Live Experiments in Recommender Systems: User Simulation to Evaluate Preference Elicitation Policies	Sep 26, 2024	Recommendation SystemsUser Simulation	—Unverified	0
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System	Sep 26, 2024	Recommendation Systems	CodeCode Available	0
Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation	Sep 26, 2024	RAGRecommendation Systems	—Unverified	0
Enhancing Recommendation with Denoising Auxiliary Task	Sep 25, 2024	DenoisingRecommendation Systems	—Unverified	0
A Prompting-Based Representation Learning Method for Recommendation with Large Language Models	Sep 25, 2024	Collaborative FilteringProfile Generation	—Unverified	0
Train Once, Deploy Anywhere: Matryoshka Representation Learning for Multimodal Recommendation	Sep 25, 2024	Multimodal RecommendationRecommendation Systems	CodeCode Available	1
CasFT: Future Trend Modeling for Information Popularity Prediction with Dynamic Cues-Driven Diffusion Models	Sep 25, 2024	Decision MakingRecommendation Systems	—Unverified	0
Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation	Sep 24, 2024	BenchmarkingMovie Recommendation	CodeCode Available	0
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences	Sep 24, 2024	Recommendation Systems	—Unverified	0
TiM4Rec: An Efficient Sequential Recommendation Model Based on Time-Aware Structured State Space Duality Model	Sep 24, 2024	Computational EfficiencyMamba	CodeCode Available	1
Creating Healthy Friction: Determining Stakeholder Requirements of Job Recommendation Explanations	Sep 24, 2024	FrictionInformation Retrieval	CodeCode Available	0
Combining Open-box Simulation and Importance Sampling for Tuning Large-Scale Recommenders	Sep 23, 2024	Recommendation Systems	—Unverified	0
Cross-Domain Latent Factors Sharing via Implicit Matrix Factorization	Sep 23, 2024	Recommendation Systems	CodeCode Available	0
Designing an Interpretable Interface for Contextual Bandits	Sep 23, 2024	Multi-Armed BanditsOff-policy evaluation	—Unverified	0
Efficient Tabular Data Preprocessing of ML Pipelines	Sep 23, 2024	CPUGPU	—Unverified	0
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation	Sep 23, 2024	Knowledge DistillationLanguage Modeling	—Unverified	0
FedSlate:A Federated Deep Reinforcement Learning Recommender System	Sep 23, 2024	Deep Reinforcement LearningFederated Learning	CodeCode Available	0
EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs	Sep 23, 2024	Collaborative FilteringDenoising	—Unverified	0
EMERS: Energy Meter for Recommender Systems	Sep 23, 2024	Recommendation Systems	—Unverified	0
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems	Sep 23, 2024	Recommendation SystemsRetrieval	—Unverified	0
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations	Sep 22, 2024	Explanation GenerationRecommendation Systems	CodeCode Available	0
The trade-off between data minimization and fairness in collaborative filtering	Sep 21, 2024	Active LearningCollaborative Filtering	—Unverified	0
Revisiting BPR: A Replicability Study of a Common Recommender System Baseline	Sep 21, 2024	Collaborative FilteringRecommendation Systems	CodeCode Available	2
Data Generation via Latent Factor Simulation for Fairness-aware Re-ranking	Sep 21, 2024	FairnessRecommendation Systems	—Unverified	0
Adaptive Mixture Importance Sampling for Automated Ads Auction Tuning	Sep 20, 2024	Decision MakingDiversity	—Unverified	0
A Unified Causal Framework for Auditing Recommender Systems for Ethical Concerns	Sep 20, 2024	Recommendation Systems	—Unverified	0
RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems	Sep 20, 2024	Recommendation Systems	—Unverified	0
Data Augmentation for Sequential Recommendation: A Survey	Sep 20, 2024	Data AugmentationRecommendation Systems	CodeCode Available	3
Causal Feature Selection Method for Contextual Multi-Armed Bandits in Recommender System	Sep 20, 2024	feature selectionMulti-Armed Bandits	—Unverified	0
Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention	Sep 19, 2024	GPURecommendation Systems	—Unverified	0
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research	Sep 19, 2024	FairnessPrivacy Preserving	—Unverified	0
The Relevance of Item-Co-Exposure For Exposure Bias Mitigation	Sep 19, 2024	Discrete Choice ModelsRecommendation Systems	—Unverified	0
HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling	Sep 19, 2024	Large Language ModelRecommendation Systems	CodeCode Available	4
ARTAI: An Evaluation Platform to Assess Societal Risk of Recommender Algorithms	Sep 19, 2024	Recommendation Systems	—Unverified	0
Recommendation with Generative Models	Sep 18, 2024	Image GenerationNavigate	—Unverified	0
An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Large-Scale Recommender Systems	Sep 18, 2024	Multi-Task LearningRecommendation Systems	—Unverified	0
Basket-Enhanced Heterogenous Hypergraph for Price-Sensitive Next Basket Recommendation	Sep 18, 2024	Next-basket recommendationRecommendation Systems	CodeCode Available	0
FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement	Sep 18, 2024	Collaborative FilteringLanguage Modeling	—Unverified	0
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems	Sep 18, 2024	Recommendation Systems	—Unverified	0
Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation	Sep 17, 2024	FairnessRecommendation Systems	—Unverified	0
A Unified Framework to Classify Business Activities into International Standard Industrial Classification through Large Language Models for Circular Economy	Sep 17, 2024	Recommendation Systems	—Unverified	0
Multi-modal Generative Models in Recommendation System	Sep 17, 2024	Recommendation Systems	—Unverified	0
Unveiling and Mitigating Bias in Large Language Model Recommendations: A Path to Fairness	Sep 17, 2024	FairnessLanguage Modeling	—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