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 5201–5250 of 6047 papers

Title	Date	Tasks	Status
Deep Neural Review Text Interaction for Recommendation Systems	Mar 16, 2020	Recommendation SystemsSmall Data Image Classification	—Unverified
Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems	Jul 4, 2024	Recommendation Systemsreinforcement-learning	—Unverified
Deep Pattern Network for Click-Through Rate Prediction	Apr 17, 2024	Click-Through Rate PredictionPrediction	—Unverified
DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks	Jul 18, 2017	ChatbotRecommendation Systems	—Unverified
Deep Q-Learning with Low Switching Cost	Jan 1, 2021	Atari GamesDeep Reinforcement Learning	—Unverified
DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation	May 22, 2025	Language ModelingLanguage Modelling	—Unverified
Deep Reinforcement Learning-Based Product Recommender for Online Advertising	Jan 30, 2021	Deep Reinforcement LearningRecommendation Systems	—Unverified
Plug-and-Play Model-Agnostic Counterfactual Policy Synthesis for Deep Reinforcement Learning based Recommendation	Aug 10, 2022	counterfactualData Augmentation	—Unverified
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems	Sep 9, 2019	ArticlesDeep Reinforcement Learning	—Unverified
Deep Reinforcement Learning for Page-wise Recommendations	May 7, 2018	Deep Reinforcement LearningRecommendation Systems	—Unverified
Reinforcement Learning in Practice: Opportunities and Challenges	Feb 23, 2022	Combinatorial OptimizationMeta-Learning	—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
Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations	Jul 12, 2020	Information RetrievalRecommendation Systems	—Unverified
Deep Social Collaborative Filtering	Jul 16, 2019	Collaborative FilteringRecommendation Systems	—Unverified
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation	Aug 11, 2023	Multi-Task LearningRecommendation Systems	—Unverified
DeepVoting: Learning Voting Rules with Tailored Embeddings	Aug 24, 2024	Information RetrievalRecommendation Systems	—Unverified
Defending Grey Attacks by Exploiting Wavelet Analysis in Collaborative Filtering Recommender Systems	Jun 19, 2015	Collaborative FilteringRecommendation Systems	—Unverified
Degenerate Feedback Loops in Recommender Systems	Feb 27, 2019	Recommendation Systems	—Unverified
Déjà vu: A Contextualized Temporal Attention Mechanism for Sequential Recommendation	Jan 29, 2020	Recommendation SystemsSequential Recommendation	—Unverified
Delayed Feedback in Kernel Bandits	Feb 1, 2023	Bayesian OptimisationRecommendation Systems	—Unverified
Delineating Knowledge Domains in the Scientific Literature Using Visual Information	Aug 12, 2019	Recommendation Systems	—Unverified
Demystifying Embedding Spaces using Large Language Models	Oct 6, 2023	Dimensionality ReductionRecommendation Systems	—Unverified
Denoising Multi-modal Sequential Recommenders with Contrastive Learning	May 3, 2023	Contrastive LearningDenoising	—Unverified
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation	Aug 21, 2024	DenoisingPrompt Learning	—Unverified
Denoising Time Cycle Modeling for Recommendation	Feb 5, 2024	DenoisingRecommendation Systems	—Unverified
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval	Oct 31, 2023	DiversityGPR	—Unverified
Density Weighting for Multi-Interest Personalized Recommendation	Aug 3, 2023	Recommendation Systems	—Unverified
Dependent Indian Buffet Process-based Sparse Nonparametric Nonnegative Matrix Factorization	Jul 12, 2015	ClusteringRecommendation Systems	—Unverified
Designing and Evaluating an Educational Recommender System with Different Levels of User Control	Jan 22, 2025	Recommendation Systems	—Unverified
Designing an Interpretable Interface for Contextual Bandits	Sep 23, 2024	Multi-Armed BanditsOff-policy evaluation	—Unverified
Designing a Sequential Recommendation System for Heterogeneous Interactions Using Transformers	Apr 30, 2022	Recommendation SystemsSequential Recommendation	—Unverified
Designing Explanations for Group Recommender Systems	Feb 24, 2021	Recommendation Systems	—Unverified
Designing Recommender Systems to Depolarize	Jul 11, 2021	DiversityRecommendation Systems	—Unverified
Design Principles of Robust Multi-Armed Bandit Framework in Video Recommendations	Sep 24, 2023	FairnessRecommendation Systems	—Unverified
Destination similarity based on implicit user interest	Feb 12, 2021	Recommendation Systems	—Unverified
Detecting Abnormal Profiles in Collaborative Filtering Recommender Systems	Jun 18, 2015	Collaborative FilteringRecommendation Systems	—Unverified
Detecting and Mitigating Reward Hacking in Reinforcement Learning Systems: A Comprehensive Empirical Study	Jul 8, 2025	MuJoCoRecommendation Systems	—Unverified
Detecting Sponsored Recommendations	Apr 14, 2015	Recommendation Systems	—Unverified
Detecting the Adversarially-Learned Injection Attacks via Knowledge Graphs	Nov 15, 2024	Knowledge GraphsRecommendation Systems	—Unverified
Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems	Aug 18, 2019	Anomaly DetectionRecommendation Systems	—Unverified
Detect Professional Malicious User with Metric Learning in Recommender Systems	May 19, 2022	Metric LearningOutlier Detection	—Unverified
Determining Song Similarity via Machine Learning Techniques and Tagging Information	Apr 12, 2017	BIG-bench Machine LearningRecommendation Systems	—Unverified
Developing an NLP-based Recommender System for the Ethical, Legal, and Social Implications of Synthetic Biology	Jul 10, 2022	Recommendation Systems	—Unverified
Developing a Recommendation Benchmark for MLPerf Training and Inference	Mar 16, 2020	Deep Learningimage-classification	—Unverified
Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions	Jun 1, 2022	Recommendation Systems	—Unverified
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback	May 24, 2024	Graph Neural NetworkRecommendation Systems	—Unverified
DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives	Mar 7, 2024	Recommendation Systems	—Unverified
Dialogue Act Classification for Augmentative and Alternative Communication	Aug 1, 2021	ClassificationDialogue Act Classification	—Unverified
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation	Jun 13, 2024	Recommendation SystemsSequential Recommendation	—Unverified
Differentiable Neural Input Search for Recommender Systems	Jun 8, 2020	Click-Through Rate PredictionRecommendation 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