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 4401–4450 of 6047 papers

Title	Date	Tasks	Status
An Efficient Large Recommendation Model: Towards a Resource-Optimal Scaling Law	Feb 14, 2025	Feature CompressionGPU	—Unverified
An Efficient Multi-threaded Collaborative Filtering Approach in Recommendation System	Sep 28, 2024	Collaborative FilteringRecommendation Systems	—Unverified
An Efficient Recommendation Model Based on Knowledge Graph Attention-Assisted Network (KGATAX)	Sep 5, 2024	Graph AttentionRecommendation Systems	—Unverified
An Efficient Recommendation System in E-commerce using Passer learning optimization based on Bi-LSTM	Jul 31, 2023	Graph EmbeddingProduct Recommendation	—Unverified
An Empirical Analysis on Transparent Algorithmic Exploration in Recommender Systems	Jul 31, 2021	Recommendation Systems	—Unverified
An Empirical Study of Clarifying Question-Based Systems	Aug 1, 2020	Recommendation Systems	—Unverified
An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders	Oct 2, 2020	Recommendation Systems	—Unverified
An empirical study of next-basket recommendations	Dec 5, 2023	Recommendation Systems	—Unverified
An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce	Nov 2, 2020	Recommendation Systems	—Unverified
An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Large-Scale Recommender Systems	Sep 18, 2024	Multi-Task LearningRecommendation Systems	—Unverified
An Estimation and Analysis Framework for the Rasch Model	Jun 9, 2018	Collaborative Filteringparameter estimation	—Unverified
A Network-centric Framework for Auditing Recommendation Systems	Feb 7, 2019	Recommendation Systems	—Unverified
A Network Resource Allocation Recommendation Method with An Improved Similarity Measure	Jul 7, 2023	DiversityRecommendation Systems	—Unverified
A Neural Attention Model for Adaptive Learning of Social Friends' Preferences	Jun 29, 2019	Collaborative FilteringRecommendation Systems	—Unverified
A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Model	Jul 12, 2024	Language ModelingLanguage Modelling	—Unverified
A Neural Network Based Explainable Recommender System	Dec 31, 2018	Collaborative FilteringFeature Engineering	—Unverified
A Neutrosophic Recommender System for Medical Diagnosis Based on Algebraic Neutrosophic Measures	Feb 25, 2016	Medical DiagnosisRecommendation Systems	—Unverified
An Evaluation Framework for Interactive Recommender System	Apr 16, 2019	Recommendation Systems	—Unverified
A new approach of contextual recommendation based on the method of Hierarchical Analysis of Processes	Oct 23, 2018	Decision MakingRecommendation Systems	—Unverified
A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section	Sep 11, 2020	ArticlesCitation Recommendation	—Unverified
A News Recommender System Considering Temporal Dynamics and Diversity	Mar 23, 2021	DiversityNews Recommendation	—Unverified
A new system-wide diversity measure for recommendations with efficient algorithms	Nov 30, 2018	DiversityRecommendation Systems	—Unverified
An experimental study on implicit social recommendation	Aug 1, 2013	Recommendation Systems	—Unverified
An Explainable Autoencoder For Collaborative Filtering Recommendation	Dec 23, 2019	Collaborative FilteringDeep Learning	—Unverified
An Exploratory Study of Hierarchical Fuzzy Systems Approach in Recommendation System	May 27, 2020	Recommendation Systems	—Unverified
An Exponential Separation Between Quantum and Quantum-Inspired Classical Algorithms for Linear Systems	Nov 4, 2024	Quantum Machine LearningRecommendation Systems	—Unverified
An Extremely Data-efficient and Generative LLM-based Reinforcement Learning Agent for Recommenders	Aug 28, 2024	Recommendation SystemsThompson Sampling	—Unverified
An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods	Sep 12, 2021	Collaborative FilteringRecommendation Systems	—Unverified
An Information-Theoretic Approach to Personalized Explainable Machine Learning	Mar 1, 2020	BIG-bench Machine LearningDecision Making	—Unverified
An Integrated Framework for Contextual Personalized LLM-Based Food Recommendation	Apr 25, 2025	Food recommendationRecommendation Systems	—Unverified
An Integrated Recommender Algorithm for Rating Prediction	Aug 5, 2016	Collaborative FilteringPrediction	—Unverified
An integrated recurrent neural network and regression model with spatial and climatic couplings for vector-borne disease dynamics	Jan 23, 2022	Recommendation Systemsregression	—Unverified
An Intelligent Data Analysis for Hotel Recommendation Systems using Machine Learning	Oct 15, 2019	BIG-bench Machine LearningCollaborative Filtering	—Unverified
An Intelligent Group Event Recommendation System in Social networks	Jun 16, 2020	Recommendation Systems	—Unverified
An Introduction to Matrix factorization and Factorization Machines in Recommendation System, and Beyond	Mar 12, 2022	Recommendation Systems	—Unverified
An IPW-based Unbiased Ranking Metric in Two-sided Markets	Jul 14, 2023	Learning-To-RankPosition	—Unverified
An Item-Based Collaborative Filtering using Dimensionality Reduction Techniques on Mahout Framework	Mar 23, 2015	Collaborative FilteringDimensionality Reduction	—Unverified
An Item Recommendation Approach by Fusing Images based on Neural Networks	Jul 4, 2019	Collaborative FilteringRecommendation Systems	—Unverified
An Iterative Reweighted Method for Tucker Decomposition of Incomplete Multiway Tensors	Nov 15, 2015	Image InpaintingRecommendation Systems	—Unverified
An MDP-based Recommender System	Dec 12, 2012	Recommendation Systems	—Unverified
Annotating Preferences in Negotiation Dialogues	Jul 1, 2012	Decision MakingRecommendation Systems	—Unverified
An Offline Reinforcement Learning Algorithm Customized for Multi-Task Fusion in Large-Scale Recommender Systems	Apr 19, 2024	Efficient ExplorationMulti-Task Learning	—Unverified
A NoSQL Data-based Personalized Recommendation System for C2C e-Commerce	Jun 26, 2018	Recommendation SystemsTopic Models	—Unverified
A Novel Behavior-Based Recommendation System for E-commerce	Mar 27, 2024	ClusteringRecommendation Systems	—Unverified
A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems	May 22, 2025	counterfactualRecommendation Systems	—Unverified
A novel graph-based model for hybrid recommendations in cold-start scenarios	Aug 31, 2018	BIG-bench Machine LearningCollaborative Filtering	—Unverified
A Novel Hybrid Sequential Model for Review-based Rating Prediction	Apr 14, 2019	Multi-Domain Recommender SystemsRecommendation Systems	—Unverified
A Novel Kalman Filter Based Shilling Attack Detection Algorithm	Aug 18, 2019	Collaborative FilteringRecommendation Systems	—Unverified
A Novel Mamba-based Sequential Recommendation Method	Apr 10, 2025	MambaRecommendation Systems	—Unverified
A novel method for recommendation systems using invasive weed optimization	Jun 5, 2021	Collaborative FilteringRecommendation 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