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 2501–2550 of 6047 papers

Title	Date	Tasks	Status
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations	Apr 17, 2023	ImputationRecommendation Systems	—Unverified
Density Weighting for Multi-Interest Personalized Recommendation	Aug 3, 2023	Recommendation Systems	—Unverified
Balancing Multi-level Interactions for Session-based Recommendation	Oct 29, 2019	Recommendation SystemsSession-Based Recommendations	—Unverified
Analysis and Modeling of Behavioral Changes in a News Service	Jul 16, 2018	ClusteringCollaborative Filtering	—Unverified
Addressing the Item Cold-start Problem by Attribute-driven Active Learning	May 23, 2018	Active LearningAttribute	—Unverified
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval	Oct 31, 2023	DiversityGPR	—Unverified
Denoising Time Cycle Modeling for Recommendation	Feb 5, 2024	DenoisingRecommendation Systems	—Unverified
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation	Aug 21, 2024	DenoisingPrompt Learning	—Unverified
Denoising Multi-modal Sequential Recommenders with Contrastive Learning	May 3, 2023	Contrastive LearningDenoising	—Unverified
Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems	Apr 7, 2024	DiversityRecommendation Systems	—Unverified
Demystifying Embedding Spaces using Large Language Models	Oct 6, 2023	Dimensionality ReductionRecommendation Systems	—Unverified
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning	Jun 25, 2021	FairnessInteractive Recommendation	—Unverified
An Algorithm for Recommending Groceries Based on an Item Ranking Method	May 3, 2021	Recommendation Systems	—Unverified
Addressing the Extreme Cold-Start Problem in Group Recommendation	Oct 18, 2022	Recommendation Systems	—Unverified
Delineating Knowledge Domains in the Scientific Literature Using Visual Information	Aug 12, 2019	Recommendation Systems	—Unverified
Delayed Feedback in Kernel Bandits	Feb 1, 2023	Bayesian OptimisationRecommendation Systems	—Unverified
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework	Dec 11, 2019	Collaborative FilteringDiversity	—Unverified
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation	Jan 29, 2020	Recommendation SystemsSequential Recommendation	—Unverified
A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System	Jan 16, 2021	Recommendation Systems	—Unverified
Degenerate Feedback Loops in Recommender Systems	Feb 27, 2019	Recommendation Systems	—Unverified
A Worrying Reproducibility Study of Intent-Aware Recommendation Models	Jan 17, 2025	Recommendation Systems	—Unverified
Avoid Recommending Out-of-Domain Items: Constrained Generative Recommendation with LLMs	May 6, 2025	Recommendation Systems	—Unverified
An AI-based solution for the cold start and data sparsity problems in the recommendation systems	Dec 4, 2023	Information RetrievalRecommendation Systems	—Unverified
Addressing the cold start problem in privacy preserving content-based recommender systems using hypercube graphs	Oct 13, 2023	Collaborative FilteringPrivacy Preserving	—Unverified
A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers	Oct 9, 2020	ClusteringDiversity	—Unverified
Defending Grey Attacks by Exploiting Wavelet Analysis in Collaborative Filtering Recommender Systems	Jun 19, 2015	Collaborative FilteringRecommendation Systems	—Unverified
DeepVoting: Learning Voting Rules with Tailored Embeddings	Aug 24, 2024	Information RetrievalRecommendation Systems	—Unverified
An Admissible Shift-Consistent Method for Recommender Systems	Jul 17, 2023	FairnessImputation	—Unverified
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation	Aug 11, 2023	Multi-Task LearningRecommendation Systems	—Unverified
Deep Social Collaborative Filtering	Jul 16, 2019	Collaborative FilteringRecommendation Systems	—Unverified
Autoregressive Generation Strategies for Top-K Sequential Recommendations	Sep 26, 2024	Recommendation SystemsSequential Recommendation	—Unverified
An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation	Jul 16, 2018	Recommendation SystemsSession-Based Recommendations	—Unverified
Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations	Jul 12, 2020	Information RetrievalRecommendation Systems	—Unverified
Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions	Dec 3, 2015	Deep Reinforcement LearningQ-Learning	—Unverified
Reinforcement Learning in Practice: Opportunities and Challenges	Feb 23, 2022	Combinatorial OptimizationMeta-Learning	—Unverified
Automated Off-Policy Estimator Selection via Supervised Learning	Jun 26, 2024	counterfactualOff-policy evaluation	—Unverified
Deep Reinforcement Learning for Page-wise Recommendations	May 7, 2018	Deep Reinforcement LearningRecommendation Systems	—Unverified
AutoMLP: Automated MLP for Sequential Recommendations	Mar 11, 2023	Recommendation Systems	—Unverified
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems	Sep 9, 2019	ArticlesDeep Reinforcement Learning	—Unverified
AutoML for Deep Recommender Systems: A Survey	Mar 25, 2022	AutoMLfeature selection	—Unverified
An Adaptive Similarity Measure to Tune Trust Influence in Memory-Based Collaborative Filtering	Dec 18, 2019	Collaborative FilteringRecommendation Systems	—Unverified
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering	Mar 11, 2022	Active LearningCollaborative Filtering	—Unverified
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation	Aug 10, 2022	counterfactualData Augmentation	—Unverified
Deep Reinforcement Learning-Based Product Recommender for Online Advertising	Jan 30, 2021	Deep Reinforcement LearningRecommendation Systems	—Unverified
AutoML for Contextual Bandits	Sep 7, 2019	AutoMLFeature Engineering	—Unverified
Automating Personalization: Prompt Optimization for Recommendation Reranking	Apr 4, 2025	PositionProfile Generation	—Unverified
DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation	May 22, 2025	Language ModelingLanguage Modelling	—Unverified
Automating Gamification Personalization: To the User and Beyond	Jan 14, 2021	Recommendation Systems	—Unverified
Automatic Representation for Lifetime Value Recommender Systems	Feb 23, 2017	Recommendation SystemsReinforcement Learning	—Unverified
An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System	Sep 13, 2021	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