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 1951–2000 of 6047 papers

Title	Date	Tasks	Status
Contrastive Learning for Recommender System	Jan 5, 2021	Collaborative FilteringContrastive Learning	—Unverified
Contrastive Learning for Interactive Recommendation in Fashion	Jul 25, 2022	Contrastive LearningInteractive Recommendation	—Unverified
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction	Sep 25, 2022	Click-Through Rate PredictionRecommendation Systems	—Unverified
Efficiently Embedding Dynamic Knowledge Graphs	Oct 15, 2019	Graph EmbeddingKnowledge Graph Embedding	—Unverified
Efficiently Learning Mixtures of Mallows Models	Aug 17, 2018	Recommendation Systems	—Unverified
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems	May 20, 2020	Contrastive LearningFairness	—Unverified
Building FKG.in: a Knowledge Graph for Indian Food	Sep 1, 2024	Knowledge GraphsNutrition	—Unverified
Efficient Mixed Dimension Embeddings for Matrix Factorization	May 18, 2022	Recommendation Systems	—Unverified
Building Human Values into Recommender Systems: An Interdisciplinary Synthesis	Jul 20, 2022	Causal InferenceEthics	—Unverified
Efficient Multi-task Prompt Tuning for Recommendation	Aug 30, 2024	Multi-Task LearningRecommendation Systems	—Unverified
A Survey on Knowledge Graph Embeddings with Literals: Which model links better Literal-ly?	Oct 28, 2019	Entity LinkingKnowledge Graph Embeddings	—Unverified
Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems	Sep 25, 2023	Recommendation Systems	—Unverified
Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion	Feb 5, 2025	Contrastive Learningfeature selection	—Unverified
A Survey on Knowledge Graph-Based Recommender Systems	Feb 28, 2020	Explainable RecommendationRecommendation Systems	—Unverified
Efficient Tabular Data Preprocessing of ML Pipelines	Sep 23, 2024	CPUGPU	—Unverified
Burger: Robust Graph Denoising-augmentation Fusion and Multi-semantic Modeling in Social Recommendation	May 10, 2025	DenoisingRecommendation Systems	—Unverified
Contrastive Information Transfer for Pre-Ranking Systems	Jul 7, 2022	Recommendation SystemsRe-Ranking	—Unverified
Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction	Aug 29, 2024	Click-Through Rate PredictionRecommendation Systems	—Unverified
e-Fold Cross-Validation for Recommender-System Evaluation	Dec 2, 2024	Recommendation Systems	—Unverified
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	Aug 21, 2023	Contrastive LearningRecommendation Systems	—Unverified
Eigenvalue analogy for confidence estimation in item-based recommender systems	Aug 31, 2018	Collaborative FilteringRecommendation Systems	—Unverified
EILEEN: A recommendation system for scientific publications and grants	Oct 19, 2021	ArticlesLearning-To-Rank	—Unverified
Byzantine-Resilient Decentralized Multi-Armed Bandits	Oct 11, 2023	Multi-Armed BanditsRecommendation Systems	—Unverified
Elastic deep autoencoder for text embedding clustering by an improved graph regularization	Sep 23, 2023	ClusteringDimensionality Reduction	—Unverified
A Survey on Intent-aware Recommender Systems	Jun 24, 2024	Recommendation SystemsSurvey	—Unverified
Algorithmic Collective Action with Two Collectives	Apr 30, 2025	Recommendation Systems	—Unverified
Ascent Similarity Caching with Approximate Indexes	Jul 2, 2021	Recommendation SystemsRetrieval	—Unverified
Continuous K-Max Bandits	Feb 19, 2025	Distributed ComputingMulti-Armed Bandits	—Unverified
A Survey on Influence Maximization: From an ML-Based Combinatorial Optimization	Nov 6, 2022	Combinatorial OptimizationDeep Reinforcement Learning	—Unverified
Embedding-based Recommender System for Job to Candidate Matching on Scale	Jul 1, 2021	Recommendation SystemsRepresentation Learning	—Unverified
Embedding Cultural Diversity in Prototype-based Recommender Systems	Dec 18, 2024	AttributeDiversity	—Unverified
Continuous Input Embedding Size Search For Recommender Systems	Apr 7, 2023	Recommendation SystemsReinforcement Learning (RL)	—Unverified
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao	Aug 11, 2022	Click-Through Rate PredictionPrediction	—Unverified
Embedding Projector: Interactive Visualization and Interpretation of Embeddings	Nov 16, 2016	BIG-bench Machine LearningRecommendation Systems	—Unverified
Embedding Ranking-Oriented Recommender System Graphs	Jul 31, 2020	Recommendation Systems	—Unverified
Vague Preference Policy Learning for Conversational Recommendation	Jun 7, 2023	AttributeConversational Recommendation	—Unverified
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations	May 19, 2024	DecoderLanguage Modeling	—Unverified
CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems	Dec 3, 2024	DiversityRecommendation Systems	—Unverified
Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations	Mar 5, 2024	Collaborative FilteringRecommendation Systems	—Unverified
EMERS: Energy Meter for Recommender Systems	Sep 23, 2024	Recommendation Systems	—Unverified
A Survey on Incremental Update for Neural Recommender Systems	Mar 6, 2023	Recommendation SystemsSurvey	—Unverified
Algorithmic clothing: hybrid recommendation, from street-style-to-shop	May 26, 2017	General ClassificationRecommendation Systems	—Unverified
ContextWIN: Whittle Index Based Mixture-of-Experts Neural Model For Restless Bandits Via Deep RL	Oct 13, 2024	Decision MakingMixture-of-Experts	—Unverified
Empirical Analysis of Predictive Algorithms for Collaborative Filtering	Jan 30, 2013	ClusteringCollaborative Filtering	—Unverified
A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective	Sep 27, 2022	Graph Representation Learningobject-detection	—Unverified
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems	Feb 1, 2022	Multi-Armed BanditsRecommendation Systems	—Unverified
Contextual Response Interpretation for Automated Structured Interviews: A Case Study in Market Research	Apr 30, 2023	MarketingMultiple-choice	—Unverified
Calibrating the Predictions for Top-N Recommendations	Aug 21, 2024	Recommendation Systems	—Unverified
A Survey on Federated Recommendation Systems	Dec 27, 2022	Federated LearningRecommendation Systems	—Unverified
Review of Explainable Graph-Based Recommender Systems	Jul 31, 2024	Recommendation Systems	—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