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 4351–4400 of 6047 papers

Title	Date	Tasks	Status
Logit Attenuating Weight Normalization	Aug 12, 2021	image-classificationImage Classification	—Unverified
LogitMat : Zeroshot Learning Algorithm for Recommender Systems without Transfer Learning or Pretrained Models	Jul 6, 2023	Fraud DetectionMeta-Learning	—Unverified
LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders	May 7, 2025	GPURecommendation Systems	—Unverified
Long-run User Value Optimization in Recommender Systems through Content Creation Modeling	Apr 25, 2022	BIG-bench Machine LearningRecommendation Systems	—Unverified
Long Short-Term Planning for Conversational Recommendation Systems	Oct 23, 2023	AttributeConversational Recommendation	—Unverified
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation	Aug 1, 2022	Recommendation SystemsSequential Recommendation	—Unverified
Long-Tail Session-based Recommendation from Calibration	Dec 5, 2021	Recommendation SystemsSession-Based Recommendations	—Unverified
Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System	Jan 27, 2025	Recommendation Systems	—Unverified
Looking at CTR Prediction Again: Is Attention All You Need?	May 12, 2021	AllClick-Through Rate Prediction	—Unverified
Looking for Fairness in Recommender Systems	Jul 16, 2025	FairnessRecommendation Systems	—Unverified
Looks Can Be Deceiving: Linking User-Item Interactions and User's Propensity Towards Multi-Objective Recommendations	Jul 2, 2023	DiversityRecommendation Systems	—Unverified
Lorentz Equivariant Model for Knowledge-Enhanced Hyperbolic Collaborative Filtering	Feb 9, 2023	AttributeCollaborative Filtering	—Unverified
Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality	Dec 29, 2018	Link PredictionRecommendation Systems	—Unverified
Lost Your Style? Navigating with Semantic-Level Approach for Text-to-Outfit Retrieval	Nov 3, 2023	Recommendation SystemsRetrieval	—Unverified
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation	Feb 29, 2024	Recommendation Systems	—Unverified
Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale	May 26, 2021	CPURecommendation Systems	—Unverified
Low-Precision Quantization for Efficient Nearest Neighbor Search	Oct 17, 2021	Information RetrievalQuantization	—Unverified
Low-rank Bandits with Latent Mixtures	Sep 6, 2016	Recommendation Systems	—Unverified
Low-Rank Representations Towards Classification Problem of Complex Networks	Oct 20, 2022	ClassificationRecommendation Systems	—Unverified
LRMM: Learning to Recommend with Missing Modalities	Aug 21, 2018	Recommendation Systems	—Unverified
LRSVRG-IMC: An SVRG-Based Algorithm for LowRank Inductive Matrix Completion	Jan 21, 2022	Matrix CompletionRecommendation Systems	—Unverified
LSF-Join: Locality Sensitive Filtering for Distributed All-Pairs Set Similarity Under Skew	Mar 6, 2020	AllRecommendation Systems	—Unverified
LSM-GNN: Large-scale Storage-based Multi-GPU GNN Training by Optimizing Data Transfer Scheme	Jul 21, 2024	CPUFraud Detection	—Unverified
LSTM Networks for Online Cross-Network Recommendations	Aug 25, 2020	DiversityRecommendation Systems	—Unverified
NCS4CVR: Neuron-Connection Sharing for Multi-Task Learning in Video Conversion Rate Prediction	Aug 22, 2020	Click-Through Rate PredictionMulti-Task Learning	—Unverified
LTC KnowHow: Empowering the Social Enterprise in the Language Industry	May 1, 2015	Recommendation Systems	—Unverified
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Movie Recommendation	Jul 7, 2025	DiversityFairness	—Unverified
Lyrically Speaking: Exploring the Link Between Lyrical Emotions, Themes and Depression Risk	Aug 28, 2024	Recommendation Systems	—Unverified
M2Rec: Multi-scale Mamba for Efficient Sequential Recommendation	May 7, 2025	MambaRecommendation Systems	—Unverified
M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations	Sep 23, 2022	Recommendation SystemsSession-Based Recommendations	—Unverified
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems	May 17, 2022	Computational EfficiencyConversational Recommendation	—Unverified
Machine Learning Approaches to Hybrid Music Recommender Systems	Jul 16, 2018	BIG-bench Machine LearningRecommendation Systems	—Unverified
Agnostic Visual Recommendation Systems: Open Challenges and Future Directions	Feb 1, 2023	Recommendation Systems	—Unverified
Machine Learning Recommendation System For Health Insurance Decision Making In Nigeria	May 18, 2023	Decision MakingManagement	—Unverified
Machine Unlearning for Recommendation Systems: An Insight	Jan 17, 2024	Machine UnlearningRecommendation Systems	—Unverified
Macro Graph of Experts for Billion-Scale Multi-Task Recommendation	Jun 12, 2025	Multi-Task LearningRecommendation Systems	—Unverified
Macro-optimization of email recommendation response rates harnessing individual activity levels and group affinity trends	Sep 20, 2016	Recommendation Systems	—Unverified
Magnitude Bounded Matrix Factorisation for Recommender Systems	Jul 15, 2018	Recommendation Systems	—Unverified
Make Large Language Model a Better Ranker	Mar 28, 2024	Language ModelingLanguage Modelling	—Unverified
Making Recommender Systems Forget: Learning and Unlearning for Erasable Recommendation	Mar 22, 2022	Collaborative FilteringMachine Unlearning	—Unverified
Making Sense of Massive Amounts of Scientific Publications: the Scientific Knowledge Miner Project	Jun 1, 2016	Document SummarizationInformation Retrieval	—Unverified
Mamba for Scalable and Efficient Personalized Recommendations	Sep 11, 2024	Computational EfficiencyMamba	—Unverified
Managing multi-facet bias in collaborative filtering recommender systems	Feb 21, 2023	Collaborative FilteringRecommendation Systems	—Unverified
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking	Jan 22, 2019	Recommendation SystemsRe-Ranking	—Unverified
Manifestations of Xenophobia in AI Systems	Dec 15, 2022	FairnessRecommendation Systems	—Unverified
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures	Apr 6, 2023	Privacy PreservingRecommendation Systems	—Unverified
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures	May 14, 2023	Collaborative FilteringModel Poisoning	—Unverified
MARec: Metadata Alignment for cold-start Recommendation	Apr 20, 2024	Collaborative FilteringRecommendation Systems	—Unverified
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems	Jun 7, 2024	Distributed ComputingPrivacy Preserving	—Unverified
MARM: Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity	Nov 14, 2024	Language ModelingLanguage Modelling	—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