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 2001–2050 of 6047 papers

Title	Date	Tasks	Status
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)	Oct 25, 2022	MemorizationRecommendation Systems	—Unverified
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation	May 3, 2024	Language ModelingLanguage Modelling	—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
Enabling Complex Wikipedia Queries - Technical Report	Aug 13, 2015	Information RetrievalRecommendation Systems	—Unverified
Enabling FAIR Research in Earth Science through Research Objects	Sep 27, 2018	ManagementObject	—Unverified
Enabling the Analysis of Personality Aspects in Recommender Systems	Jan 7, 2020	Recommendation Systems	—Unverified
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation	Mar 26, 2024	DenoisingRecommendation Systems	—Unverified
End-to-end Adaptive Distributed Training on PaddlePaddle	Dec 6, 2021	CPUGPU	—Unverified
End-to-End Graph-Sequential Representation Learning for Accurate Recommendations	Mar 1, 2024	Recommendation SystemsRepresentation Learning	—Unverified
Candidate Set Sampling for Evaluating Top-N Recommendation	Sep 21, 2023	Recommendation Systems	—Unverified
Contextual Response Interpretation for Automated Structured Interviews: A Case Study in Market Research	Apr 30, 2023	MarketingMultiple-choice	—Unverified
End-to-end Learning for Short Text Expansion	Aug 30, 2017	Recommendation Systemstext-classification	—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
Explainable Recommender Systems via Resolving Learning Representations	Aug 21, 2020	AttributeExplainable Recommendation	—Unverified
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms	Jun 9, 2021	Recommendation Systems	—Unverified
Energy saving in smart homes based on consumer behaviour: A case study	Sep 18, 2015	Recommendation Systems	—Unverified
Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems	Mar 28, 2024	Collaborative FilteringRecommendation Systems	—Unverified
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model	Jan 31, 2019	Recommendation SystemsThompson Sampling	—Unverified
A Survey on Fairness-aware Recommender Systems	Jun 1, 2023	Decision MakingFairness	—Unverified
Contextual HyperNetworks for Novel Feature Adaptation	Apr 12, 2021	Few-Shot LearningImputation	—Unverified
Contextual Document Similarity for Content-based Literature Recommender Systems	Aug 1, 2020	Recommendation Systems	—Unverified
Enhanced User Interaction in Operating Systems through Machine Learning Language Models	Feb 24, 2024	Language ModelingLanguage Modelling	—Unverified
Enhancing Social Recommendation with Adversarial Graph Convolutional Networks	Apr 5, 2020	Recommendation Systems	—Unverified
Enhancing Adaptive Video Streaming through Fuzzy Logic-Based Content Recommendation Systems: A Comprehensive Review and Future Directions	Apr 10, 2024	Recommendation Systems	—Unverified
Enhancing Collaborative Filtering-Based Course Recommendations by Exploiting Time-to-Event Information with Survival Analysis	Feb 27, 2025	Collaborative FilteringRecommendation Systems	—Unverified
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning	Jun 19, 2024	In-Context LearningLanguage Modeling	—Unverified
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training	Sep 27, 2023	Click-Through Rate PredictionRecommendation Systems	—Unverified
Can Small Language Models be Good Reasoners for Sequential Recommendation?	Mar 7, 2024	Knowledge DistillationRecommendation Systems	—Unverified
A Survey on Explainability of Graph Neural Networks	Jun 2, 2023	Drug DiscoveryRecommendation Systems	—Unverified
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models	Jul 19, 2024	Active LearningKnowledge Graphs	—Unverified
Algorithmically Curated Lies: How Search Engines Handle Misinformation about US Biolabs in Ukraine	Jan 24, 2024	MisinformationRecommendation Systems	—Unverified
Contextual Combinatorial Multi-armed Bandits with Volatile Arms and Submodular Reward	Dec 1, 2018	Decision MakingMulti-Armed Bandits	—Unverified
Contextual Blocking Bandits	Mar 6, 2020	BlockingNovel Concepts	—Unverified
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models	Oct 30, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified
A Survey on Echo Chambers on Social Media: Description, Detection and Mitigation	Dec 9, 2021	MisinformationRecommendation Systems	—Unverified
Enhancing Healthcare Recommendation Systems with a Multimodal LLMs-based MOE Architecture	Dec 16, 2024	Mixture-of-ExpertsRecommendation Systems	—Unverified
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests	Feb 29, 2020	Recommendation Systems	—Unverified
Enhancing Item Tokenization for Generative Recommendation through Self-Improvement	Dec 22, 2024	Recommendation Systems	—Unverified
Adaptive Domain Interest Network for Multi-domain Recommendation	Jun 20, 2022	Domain AdaptationRecommendation Systems	—Unverified
A Fast Matrix-Completion-Based Approach for Recommendation Systems	Dec 2, 2019	Matrix CompletionRecommendation Systems	—Unverified
Enhancing News Recommendation with Hierarchical LLM Prompting	Apr 29, 2025	ArticlesNews Recommendation	—Unverified
Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention	Sep 19, 2024	GPURecommendation Systems	—Unverified
Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework	Oct 8, 2024	Recommendation Systems	—Unverified
Enhancing Recommendation Diversity by Re-ranking with Large Language Models	Jan 21, 2024	DiversityRecommendation Systems	—Unverified
Academic Performance Estimation with Attention-based Graph Convolutional Networks	Dec 26, 2019	Decision MakingPrediction	—Unverified
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions	Dec 15, 2020	Additive modelsCollaborative Filtering	—Unverified
Contextual and Position-Aware Factorization Machines for Sentiment Classification	Jan 18, 2018	ClassificationGeneral Classification	—Unverified
A Survey on Dialogue Systems: Recent Advances and New Frontiers	Nov 6, 2017	Deep LearningRecommendation 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	GC-MC	RMSE (u1 Splits)	0.91	—	Unverified
9	FedPerGNN	RMSE	0.91	—	Unverified
10	Self-Supervised Exchangeable Model	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	SimpleX	NDCG@20	0.06	—	Unverified
6	MGDCF	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	CR-Walker	Recall@1	0.04	—	Unverified
6	CRFR	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