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 2351–2400 of 6047 papers

Title	Date	Tasks	Status	Hype
Simulating News Recommendation Ecosystem for Fun and Profit	May 23, 2023	News RecommendationRecommendation Systems	—Unverified	0
Instant Representation Learning for Recommendation over Large Dynamic Graphs	May 22, 2023	Graph Neural NetworkRecommendation Systems	CodeCode Available	0
Multi-behavior Self-supervised Learning for Recommendation	May 22, 2023	Graph Neural NetworkRecommendation Systems	CodeCode Available	1
Efficient Large-Scale Visual Representation Learning And Evaluation	May 22, 2023	Recommendation SystemsRepresentation Learning	—Unverified	0
When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions	May 22, 2023	AttributeFederated Learning	CodeCode Available	0
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models	May 22, 2023	Conversational RecommendationExplanation Generation	CodeCode Available	1
Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach	May 22, 2023	PredictionRecommendation Systems	CodeCode Available	0
Exploring and Exploiting Data Heterogeneity in Recommendation	May 21, 2023	Recommendation Systems	—Unverified	0
Multi-channel Integrated Recommendation with Exposure Constraints	May 21, 2023	Recommendation Systems	—Unverified	0
Multi-factor Sequential Re-ranking with Perception-Aware Diversification	May 21, 2023	DiversityGraph Clustering	—Unverified	0
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation	May 21, 2023	Extreme Multi-Label ClassificationMulti-Label Classification	—Unverified	0
Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems	May 20, 2023	Recommendation Systems	CodeCode Available	1
DADIN: Domain Adversarial Deep Interest Network for Cross Domain Recommender Systems	May 20, 2023	Click-Through Rate PredictionDomain Adaptation	—Unverified	0
UP5: Unbiased Foundation Model for Fairness-aware Recommendation	May 20, 2023	Decision MakingFairness	CodeCode Available	0
Online Learning in a Creator Economy	May 19, 2023	Recommendation Systems	—Unverified	0
Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights	May 19, 2023	Collaborative FilteringNews Recommendation	—Unverified	0
Visualization for Recommendation Explainability: A Survey and New Perspectives	May 19, 2023	Explainable RecommendationRecommendation Systems	—Unverified	0
Integrating Item Relevance in Training Loss for Sequential Recommender Systems	May 18, 2023	Recommendation Systems	—Unverified	0
Improving Recommendation System Serendipity Through Lexicase Selection	May 18, 2023	DiversityRecommendation Systems	—Unverified	0
Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems	May 18, 2023	Recommendation Systemsreinforcement-learning	CodeCode Available	1
Adaptive Graph Contrastive Learning for Recommendation	May 18, 2023	Collaborative FilteringContrastive Learning	CodeCode Available	1
Machine Learning Recommendation System For Health Insurance Decision Making In Nigeria	May 18, 2023	Decision MakingManagement	—Unverified	0
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs	May 17, 2023	Knowledge Graph CompletionKnowledge Graphs	—Unverified	0
Fairness and Diversity in Information Access Systems	May 16, 2023	DiversityFairness	—Unverified	0
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation	May 16, 2023	FairnessMarketing	—Unverified	0
Large Language Models are Zero-Shot Rankers for Recommender Systems	May 15, 2023	Recommendation Systems	CodeCode Available	2
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text	May 15, 2023	graph constructionIn-Context Learning	—Unverified	0
sustain.AI: a Recommender System to analyze Sustainability Reports	May 15, 2023	Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION	CodeCode Available	0
Multi-View Interactive Collaborative Filtering	May 14, 2023	ArticlesCollaborative Filtering	—Unverified	0
Decoupled Graph Neural Networks for Large Dynamic Graphs	May 14, 2023	Graph Neural NetworkRecommendation Systems	CodeCode Available	0
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures	May 14, 2023	Collaborative FilteringModel Poisoning	—Unverified	0
Leveraging Large Language Models in Conversational Recommender Systems	May 13, 2023	Common Sense ReasoningDialogue Management	—Unverified	0
High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits	May 12, 2023	Recommendation Systems	—Unverified	0
Long-Term Value of Exploration: Measurements, Findings and Algorithms	May 12, 2023	Recommendation Systems	—Unverified	0
Mem-Rec: Memory Efficient Recommendation System using Alternative Representation	May 12, 2023	Recommendation Systems	—Unverified	0
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training	May 12, 2023	Recommendation Systems	—Unverified	0
Dish detection in food platters: A framework for automated diet logging and nutrition management	May 12, 2023	Food recommendationManagement	—Unverified	0
MoMo: Momentum Models for Adaptive Learning Rates	May 12, 2023	Recommendation SystemsStochastic Optimization	CodeCode Available	1
PALR: Personalization Aware LLMs for Recommendation	May 12, 2023	Recommendation SystemsRetrieval	—Unverified	0
Knowledge Soft Integration for Multimodal Recommendation	May 12, 2023	Graph Neural NetworkMultimodal Recommendation	—Unverified	0
Eye Tracking as a Source of Implicit Feedback in Recommender Systems: A Preliminary Analysis	May 12, 2023	Collaborative FilteringMovie Recommendation	—Unverified	0
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation	May 11, 2023	Generative Adversarial NetworkPrivacy Preserving	—Unverified	0
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training	May 11, 2023	Federated LearningGraph Learning	—Unverified	0
Automated Data Denoising for Recommendation	May 11, 2023	DenoisingRecommendation Systems	—Unverified	0
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach	May 11, 2023	Instruction FollowingLanguage Modeling	—Unverified	0
Local Life: Stay Informed Around You, A Scalable Geoparsing and Geotagging Approach to Serve Local News Worldwide	May 11, 2023	ArticlesMisinformation	—Unverified	0
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models	May 11, 2023	NavigateNews Generation	CodeCode Available	1
Towards Scalable Adaptive Learning with Graph Neural Networks and Reinforcement Learning	May 10, 2023	Graph Neural NetworkRecommendation Systems	CodeCode Available	0
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy	May 10, 2023	FairnessMachine Unlearning	—Unverified	0
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation	May 10, 2023	Decision MakingGraph Neural Network	CodeCode Available	1

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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