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 2651–2700 of 6047 papers

Title	Date	Tasks	Status
Fairness-Aware Explainable Recommendation over Knowledge Graphs	Jun 3, 2020	Collaborative FilteringDecision Making	—Unverified
Graph Neural News Recommendation with Long-term and Short-term Interest Modeling	Oct 30, 2019	ArticlesCollaborative Filtering	—Unverified
Graph Neural Patching for Cold-Start Recommendations	Oct 18, 2024	Recommendation Systems	—Unverified
Graph Neural Pre-training for Enhancing Recommendations using Side Information	Jul 8, 2021	Entity EmbeddingsRecommendation Systems	—Unverified
Fairness-aware Cross-Domain Recommendation	Feb 1, 2023	FairnessRecommendation Systems	—Unverified
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems	Mar 9, 2025	Conversational RecommendationIn-Context Learning	—Unverified
Context Uncertainty in Contextual Bandits with Applications to Recommender Systems	Feb 1, 2022	Multi-Armed BanditsRecommendation Systems	—Unverified
Graphs are everywhere -- Psst! In Music Recommendation too	Apr 3, 2025	Collaborative FilteringMusic Recommendation	—Unverified
Fairness and Transparency in Recommendation: The Users' Perspective	Mar 16, 2021	FairnessRecommendation 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
A recommender system to restore images with impulse noise	Feb 24, 2017	Collaborative FilteringImage Inpainting	—Unverified
Review of Explainable Graph-Based Recommender Systems	Jul 31, 2024	Recommendation Systems	—Unverified
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao	May 12, 2025	DiversityLearning-To-Rank	—Unverified
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias	Mar 30, 2025	Recommendation Systems	—Unverified
A BERT Based Hybrid Recommendation System For Academic Collaboration	Feb 21, 2025	Recommendation Systems	—Unverified
Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection	Nov 8, 2022	Adversarial RobustnessRecommendation Systems	—Unverified
Fairness and Diversity in Information Access Systems	May 16, 2023	DiversityFairness	—Unverified
Fair Multi-Stakeholder News Recommender System with Hypergraph ranking	Dec 1, 2020	Collaborative FilteringRecommendation Systems	—Unverified
Coevolution of Opinion Dynamics and Recommendation System: Modeling Analysis and Reinforcement Learning Based Manipulation	Nov 18, 2024	Collaborative FilteringRecommendation Systems	—Unverified
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations	Aug 4, 2022	counterfactualGraph Classification	—Unverified
Contrastive Graph Prompt-tuning for Cross-domain Recommendation	Aug 21, 2023	Contrastive LearningRecommendation Systems	—Unverified
Greedy SLIM: A SLIM-Based Approach For Preference Elicitation	Jun 10, 2024	Active LearningRecommendation Systems	—Unverified
Fair Matrix Factorisation for Large-Scale Recommender Systems	Sep 9, 2022	Collaborative FilteringFairness	—Unverified
GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System	Dec 15, 2023	Recommendation Systems	—Unverified
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems	May 3, 2020	DiversityFairness	—Unverified
GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models	Jul 9, 2025	Recommendation SystemsSurvey	—Unverified
GRN: Generative Rerank Network for Context-wise Recommendation	Apr 2, 2021	Recommendation SystemsReranking	—Unverified
Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion	Feb 5, 2025	Contrastive Learningfeature selection	—Unverified
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning	Aug 16, 2023	Recommendation SystemsSelf-Supervised Learning	—Unverified
The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking	Aug 5, 2023	FairnessLearning-To-Rank	—Unverified
Group Movie Selection using Multi-channel Emotion Recognition	Mar 11, 2024	Decision MakingEmotion Recognition	—Unverified
Group Recommendations: Axioms, Impossibilities, and Random Walks	Jul 27, 2017	Recommendation Systems	—Unverified
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions	Dec 1, 2016	Recommendation Systems	—Unverified
Group Validation in Recommender Systems: Framework for Multi-layer Performance Evaluation	Jul 19, 2022	Recommendation Systems	—Unverified
Contrastive Learning Method for Sequential Recommendation based on Multi-Intention Disentanglement	Apr 28, 2024	Contrastive LearningDisentanglement	—Unverified
GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism	Mar 24, 2023	Graph Neural NetworkRecommendation Systems	—Unverified
A Recommender System-Inspired Cloud Data Filling Scheme for Satellite-based Coastal Observation	Nov 27, 2021	Earth ObservationImputation	—Unverified
GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data	Jul 1, 2018	Data-to-Text GenerationDecoder	—Unverified
GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation	Jun 19, 2016	Recommendation Systems	—Unverified
Guess Who Rated This Movie: Identifying Users Through Subspace Clustering	Aug 9, 2014	ClusteringRecommendation Systems	—Unverified
FAIR: Fairness-Aware Information Retrieval Evaluation	Jun 16, 2021	DiversityFairness	—Unverified
A Normative Framework for Benchmarking Consumer Fairness in Large Language Model Recommender System	May 3, 2024	BenchmarkingCollaborative Filtering	—Unverified
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation	Apr 23, 2024	DecoderLanguage Modelling	—Unverified
FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness	Apr 10, 2025	FairnessRecommendation Systems	—Unverified
Co-Embedding: Discovering Communities on Bipartite Graphs through Projection	Sep 15, 2021	Information RetrievalRecommendation Systems	—Unverified
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction	Jun 7, 2022	ClusteringRecommendation Systems	—Unverified
Contrastive Self-supervised Learning in Recommender Systems: A Survey	Mar 17, 2023	Recommendation SystemsSelf-Supervised Learning	—Unverified
Handling Large-scale Cardinality in building recommendation systems	Jan 17, 2024	Recommendation Systems	—Unverified
Handling Position Bias for Unbiased Learning to Rank in Hotels Search	Feb 28, 2020	Learning-To-RankPosition	—Unverified
How Good Are Large Language Models for Course Recommendation in MOOCs?	Apr 11, 2025	DiversityRecommendation 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