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 2751–2800 of 6047 papers

Title	Date	Tasks	Status
BHEISR: Nudging from Bias to Balance -- Promoting Belief Harmony by Eliminating Ideological Segregation in Knowledge-based Recommendations	Jul 6, 2023	Recommendation Systems	—Unverified
A Machine-Learned Ranking Algorithm for Dynamic and Personalised Car Pooling Services	Jul 6, 2023	Learning-To-RankRecommendation Systems	—Unverified
Structure Guided Multi-modal Pre-trained Transformer for Knowledge Graph Reasoning	Jul 6, 2023	Knowledge GraphsQuestion Answering	—Unverified
LogitMat : Zeroshot Learning Algorithm for Recommender Systems without Transfer Learning or Pretrained Models	Jul 6, 2023	Fraud DetectionMeta-Learning	—Unverified
Generative Job Recommendations with Large Language Model	Jul 5, 2023	Collaborative FilteringLanguage Modeling	—Unverified
Fisher-Weighted Merge of Contrastive Learning Models in Sequential Recommendation	Jul 5, 2023	Contrastive LearningRecommendation Systems	—Unverified
Recommender Systems in the Era of Large Language Models (LLMs)	Jul 5, 2023	Recommendation Systems	—Unverified
TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers	Jul 5, 2023	Anomaly DetectionComputational Efficiency	CodeCode Available
GHOST: A Graph Neural Network Accelerator using Silicon Photonics	Jul 4, 2023	CPUDrug Discovery	—Unverified
Understanding User Behavior in Carousel Recommendation Systems for Click Modeling and Learning to Rank	Jul 4, 2023	Information RetrievalLearning-To-Rank	—Unverified
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations	Jul 2, 2023	DiversityRecommendation Systems	—Unverified
Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review	Jul 2, 2023	ArticlesDiversity	—Unverified
Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework	Jun 30, 2023	Recommendation Systems	—Unverified
Counterfactual Collaborative Reasoning	Jun 30, 2023	counterfactualCounterfactual Reasoning	—Unverified
Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation	Jun 29, 2023	Movie RecommendationRecommendation Systems	CodeCode Available
Blockwise Feature Interaction in Recommendation Systems	Jun 28, 2023	Recommendation Systems	—Unverified
Disentangled Variational Auto-encoder Enhanced by Counterfactual Data for Debiasing Recommendation	Jun 28, 2023	counterfactualRecommendation Systems	—Unverified
Recommender Systems for Online and Mobile Social Networks: A survey	Jun 28, 2023	Recommendation SystemsSurvey	—Unverified
Confidence Ranking for CTR Prediction	Jun 28, 2023	Click-Through Rate PredictionPrediction	—Unverified
MyDigitalFootprint: an extensive context dataset for pervasive computing applications at the edge	Jun 28, 2023	Activity RecognitionEdge-computing	CodeCode Available
Shilling Black-box Review-based Recommender Systems through Fake Review Generation	Jun 27, 2023	DiversityRecommendation Systems	—Unverified
A Collaborative Transfer Learning Framework for Cross-domain Recommendation	Jun 26, 2023	Click-Through Rate PredictionRecommendation Systems	—Unverified
Scalable Neural Contextual Bandit for Recommender Systems	Jun 26, 2023	Recommendation SystemsThompson Sampling	—Unverified
Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation	Jun 26, 2023	AttributeMulti-Task Learning	CodeCode Available
A Food Recommender System in Academic Environments Based on Machine Learning Models	Jun 26, 2023	Collaborative FilteringFeature Engineering	—Unverified
DEKGCI: A double-sided recommendation model for integrating knowledge graph and user-item interaction graph	Jun 24, 2023	Knowledge GraphsRecommendation Systems	CodeCode Available
Cross-domain Recommender Systems via Multimodal Domain Adaptation	Jun 24, 2023	Collaborative FilteringDomain Adaptation	—Unverified
Human-AI Coevolution	Jun 23, 2023	Recommendation Systems	—Unverified
Review of compressed embedding layers and their applications for recommender systems	Jun 23, 2023	Recommendation Systems	—Unverified
Don't Treat the Symptom, Find the Cause! Efficient Artificial-Intelligence Methods for (Interactive) Debugging	Jun 22, 2023	Decision MakingDecision Making Under Uncertainty	—Unverified
Recent Developments in Recommender Systems: A Survey	Jun 22, 2023	FairnessRecommendation Systems	—Unverified
Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization	Jun 22, 2023	Collaborative FilteringData Augmentation	—Unverified
HypeRS: Building a Hypergraph-driven ensemble Recommender System	Jun 22, 2023	Recommendation Systems	CodeCode Available
Post-hoc Selection of Pareto-Optimal Solutions in Search and Recommendation	Jun 21, 2023	Information RetrievalRecommendation Systems	—Unverified
Knowledge-based Multimodal Music Similarity	Jun 21, 2023	Recommendation SystemsRetrieval	—Unverified
STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation	Jun 21, 2023	Multi-Task LearningRecommendation Systems	—Unverified
Hybrid Multi-Criteria Preference Ranking by Subsorting	Jun 20, 2023	Recommendation Systems	—Unverified
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems	Jun 20, 2023	Computational EfficiencyRecommendation Systems	—Unverified
MB-HGCN: A Hierarchical Graph Convolutional Network for Multi-behavior Recommendation	Jun 19, 2023	Collaborative FilteringMulti-Task Learning	—Unverified
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets	Jun 16, 2023	Conversational RecommendationKnowledge Graphs	—Unverified
Graph Extraction for Assisting Crash Simulation Data Analysis	Jun 15, 2023	Recommendation Systems	—Unverified
ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop	Jun 15, 2023	Recommendation Systems	CodeCode Available
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems	Jun 15, 2023	Community DetectionFederated Learning	—Unverified
Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets	Jun 15, 2023	FairnessRecommendation Systems	—Unverified
Using Wikipedia Editor Information to Build High-performance Recommender Systems	Jun 14, 2023	ArticlesRecommendation Systems	—Unverified
Analysis and Approximate Inference of Large Random Kronecker Graphs	Jun 14, 2023	Graph ClassificationRecommendation Systems	CodeCode Available
User Simulation for Evaluating Information Access Systems	Jun 14, 2023	Recommendation SystemsUser Simulation	—Unverified
Better Generalization with Semantic IDs: A Case Study in Ranking for Recommendations	Jun 13, 2023	MemorizationRecommendation Systems	—Unverified
NFTs to MARS: Multi-Attention Recommender System for NFTs	Jun 13, 2023	Graph AttentionMulti-Task Learning	—Unverified
Topic-Centric Explanations for News Recommendation	Jun 13, 2023	ArticlesExplainable Recommendation	CodeCode Available

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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