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 2701–2750 of 6047 papers

Title	Date	Tasks	Status
Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service	Sep 17, 2021	Decision MakingMarketing	—Unverified
Audio Processing using Pattern Recognition for Music Genre Classification	Oct 19, 2024	Genre classificationMusic Genre Classification	—Unverified
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems	Oct 20, 2023	FairnessRecommendation Systems	—Unverified
Data-Driven Interaction Review of an Ed-Tech Application	Dec 13, 2018	Recommendation Systems	—Unverified
Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems	Aug 19, 2024	Recommendation Systemsvalid	—Unverified
AUC Optimisation and Collaborative Filtering	Aug 25, 2015	Collaborative FilteringRecommendation Systems	—Unverified
Data Distillation: A Survey	Jan 11, 2023	Recommendation SystemsSurvey	—Unverified
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations	Jul 1, 2017	AttributeFairness	—Unverified
At Your Service: Coffee Beans Recommendation From a Robot Assistant	Aug 26, 2020	Recommendation Systems	—Unverified
Data Augmentation Strategies for Improving Sequential Recommender Systems	Mar 26, 2022	Data AugmentationRecommendation Systems	—Unverified
A TV Program Discovery Dialog System using recommendations	Sep 1, 2015	Named Entity Recognition (NER)Recommendation 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
A Tutorial On Intersectionality in Fair Rankings	Feb 7, 2025	DiversityFairness	—Unverified
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System	Jun 10, 2020	Feature EngineeringNeural Architecture Search	—Unverified
AdaS&S: a One-Shot Supernet Approach for Automatic Embedding Size Search in Deep Recommender System	Nov 12, 2024	Recommendation Systems	—Unverified
Accelerating Sparse Graph Neural Networks with Tensor Core Optimization	Dec 16, 2024	Computational EfficiencyGPU	—Unverified
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System	Aug 15, 2024	Contrastive LearningLanguage Modeling	—Unverified
Review-Based Domain Disentanglement without Duplicate Users or Contexts for Cross-Domain Recommendation	Oct 25, 2021	DisentanglementRecommendation Systems	—Unverified
A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions	Dec 11, 2024	Federated LearningRecommendation Systems	—Unverified
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems	May 20, 2023	Click-Through Rate PredictionDomain Adaptation	—Unverified
D2RLIR : an improved and diversified ranking function in interactive recommendation systems based on deep reinforcement learning	Oct 28, 2021	Deep Reinforcement LearningDiversity	—Unverified
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems	Jan 21, 2024	Recommendation Systems	—Unverified
Attribute-aware Explainable Complementary Clothing Recommendation	Jul 4, 2021	AttributeRecommendation Systems	—Unverified
A Mechanism for Optimizing Media Recommender Systems	Jun 23, 2024	Recommendation Systems	—Unverified
CVTT: Cross-Validation Through Time	May 11, 2022	Recommendation Systems	—Unverified
Attentive Neural Architecture Incorporating Song Features For Music Recommendation	Nov 20, 2018	Future predictionMusic Recommendation	—Unverified
Customized Conversational Recommender Systems	Jun 30, 2022	Meta-LearningRecommendation Systems	—Unverified
Curse of "Low" Dimensionality in Recommender Systems	May 23, 2023	DiversityFairness	—Unverified
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation	Sep 5, 2021	Click-Through Rate PredictionKnowledge-Aware Recommendation	—Unverified
A Matrix Decomposition Model Based on Feature Factors in Movie Recommendation System	Jun 12, 2022	AttributeCollaborative Filtering	—Unverified
Curriculum Vitae Recommendation Based on Text Mining	Jul 21, 2020	Decision MakingRecommendation Systems	—Unverified
Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation	Jun 12, 2021	Recommendation Systems	—Unverified
Attentive Item2Vec: Neural Attentive User Representations	Feb 15, 2020	Recommendation Systems	—Unverified
Current Challenges and Visions in Music Recommender Systems Research	Mar 21, 2018	Recommendation Systems	—Unverified
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering	Oct 24, 2020	Collaborative FilteringRecommendation Systems	—Unverified
A Machine-Learned Ranking Algorithm for Dynamic and Personalised Car Pooling Services	Jul 6, 2023	Learning-To-RankRecommendation Systems	—Unverified
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems	Oct 6, 2023	NavigateRecommendation Systems	—Unverified
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation	Sep 17, 2021	Decision MakingOffline RL	—Unverified
Leveraging LLM Reasoning Enhances Personalized Recommender Systems	Jul 22, 2024	Arithmetic ReasoningRecommendation Systems	—Unverified
CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform	Oct 8, 2024	Recommendation Systems	—Unverified
CUPCF: Combining Users Preferences in Collaborative Filtering for Better Recommendation	Aug 13, 2019	Collaborative FilteringRecommendation Systems	—Unverified
Attention Span For Personalisation	Jul 30, 2016	Recommendation Systems	—Unverified
Cumulative Restricted Boltzmann Machines for Ordinal Matrix Data Analysis	Jul 31, 2014	Collaborative FilteringRecommendation Systems	—Unverified
Cumulative Distribution Function based General Temporal Point Processes	Feb 1, 2024	Information RetrievalPoint Processes	—Unverified
Always Strengthen Your Strengths: A Drift-Aware Incremental Learning Framework for CTR Prediction	Apr 17, 2023	Click-Through Rate PredictionDiversity	—Unverified
CTRL: Connect Collaborative and Language Model for CTR Prediction	Jun 5, 2023	Click-Through Rate PredictionLanguage Modeling	—Unverified
CTR is not Enough: a Novel Reinforcement Learning based Ranking Approach for Optimizing Session Clicks	Aug 27, 2023	Recommendation Systems	—Unverified
Attention is all you need for boosting graph convolutional neural network	Mar 10, 2024	AllKnowledge Distillation	—Unverified
AltGDmin: Alternating GD and Minimization for Partly-Decoupled (Federated) Optimization	Apr 20, 2025	Compressive SensingFew-Shot Learning	—Unverified
CRUISE on Quantum Computing for Feature Selection in Recommender Systems	Jul 3, 2024	counterfactualfeature selection	—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