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
COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities	Dec 1, 2020	Collaborative Filteringnamed-entity-recognition	—Unverified
E-Commerce Content and Collaborative-based Recommendation using K-Nearest Neighbors and Enriched Weighted Vectors	Dec 1, 2020	Recommendation Systems	—Unverified
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering	Dec 1, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available
Improving Arabic Text Categorization Using Transformer Training Diversification	Dec 1, 2020	Recommendation SystemsText Categorization	CodeCode Available
A Statistical Real-Time Prediction Model for Recommender System	Dec 1, 2020	PredictionRecommendation Systems	—Unverified
Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer	Dec 1, 2020	Emotion RecognitionGraph Attention	—Unverified
Non-Stationary Latent Bandits	Dec 1, 2020	Recommendation SystemsThompson Sampling	—Unverified
Counterfactual Prediction for Bundle Treatment	Dec 1, 2020	counterfactualDecision Making	—Unverified
Suggest me a movie for tonight: Leveraging Knowledge Graphs for Conversational Recommendation	Dec 1, 2020	Conversational RecommendationKnowledge Graphs	CodeCode Available
Unbiasing Review Ratings with Tendency Based Collaborative Filtering	Dec 1, 2020	Collaborative FilteringPrediction	CodeCode Available
BERT-Based Neural Collaborative Filtering and Fixed-Length Contiguous Tokens Explanation	Dec 1, 2020	Collaborative FilteringRecommendation Systems	—Unverified
Content Provider Dynamics and Coordination in Recommendation Ecosystems	Dec 1, 2020	Combinatorial OptimizationRecommendation Systems	—Unverified
Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies	Nov 29, 2020	Off-policy evaluationRecommendation Systems	—Unverified
Cluster Based Deep Contextual Reinforcement Learning for top-k Recommendations	Nov 29, 2020	ClusteringRecommendation Systems	—Unverified
A Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems	Nov 26, 2020	Recommendation SystemsSentence	—Unverified
Improvement of e-commerce recommendation systems with deep hybrid collaborative filtering with content: A case study	Nov 24, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available
Skill-driven Recommendations for Job Transition Pathways	Nov 23, 2020	Recommendation Systems	—Unverified
The complementarity of a diverse range of deep learning features extracted from video content for video recommendation	Nov 21, 2020	Collaborative FilteringDeep Learning	CodeCode Available
A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations	Nov 20, 2020	Deep LearningRecommendation Systems	—Unverified
User and Item-aware Estimation of Review Helpfulness	Nov 20, 2020	Decision MakingRecommendation Systems	—Unverified
Interest Sustainability-Aware Recommender System	Nov 17, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation	Nov 16, 2020	Recommendation Systems	—Unverified
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations	Nov 15, 2020	Recommendation Systems	—Unverified
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval	Nov 14, 2020	AttributeRecommendation Systems	—Unverified
Rebounding Bandits for Modeling Satiation Effects	Nov 13, 2020	Recommendation Systems	—Unverified
Goal-driven Command Recommendations for Analysts	Nov 12, 2020	Decision MakingRecommendation Systems	—Unverified
Adaptive Neural Architectures for Recommender Systems	Nov 11, 2020	Deep Reinforcement LearningRecommendation Systems	—Unverified
A Novel Privacy-Preserved Recommender System Framework based on Federated Learning	Nov 11, 2020	Federated LearningRecommendation Systems	—Unverified
The improved model of user similarity coefficients computation For recommendation systems	Nov 10, 2020	Recommendation Systems	—Unverified
Two-Sided Fairness in Non-Personalised Recommendations	Nov 10, 2020	ArticlesFairness	CodeCode Available
Dynamic Embeddings for Interaction Prediction	Nov 10, 2020	PredictionRecommendation Systems	CodeCode Available
TRSM-RS: A Movie Recommender System Based on Users' Gender and New Weighted Similarity Measure	Nov 10, 2020	Collaborative FilteringRecommendation Systems	—Unverified
On Estimating the Training Cost of Conversational Recommendation Systems	Nov 10, 2020	Conversational RecommendationKnowledge Distillation	—Unverified
MatRec: Matrix Factorization for Highly Skewed Dataset	Nov 9, 2020	Learning-To-RankRecommendation Systems	—Unverified
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra	Nov 9, 2020	Recommendation Systems	—Unverified
Echo Chambers in Collaborative Filtering Based Recommendation Systems	Nov 8, 2020	Collaborative FilteringDiversity	—Unverified
Digital Nudging with Recommender Systems: Survey and Future Directions	Nov 6, 2020	Decision MakingRecommendation Systems	—Unverified
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness	Nov 6, 2020	Decision MakingManagement	—Unverified
A Black-Box Attack Model for Visually-Aware Recommender Systems	Nov 5, 2020	Recommendation Systems	—Unverified
Deoscillated Graph Collaborative Filtering	Nov 4, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available
Understanding Capacity-Driven Scale-Out Neural Recommendation Inference	Nov 4, 2020	Recommendation Systems	—Unverified
Towards Fundamental Limits of Multi-armed Bandits with Random Walk Feedback	Nov 3, 2020	Multi-Armed BanditsRecommendation Systems	—Unverified
Collaborative Generative Hashing for Marketing and Fast Cold-start Recommendation	Nov 2, 2020	MarketingRecommendation Systems	CodeCode Available
An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce	Nov 2, 2020	Recommendation Systems	—Unverified
U-rank: Utility-oriented Learning to Rank with Implicit Feedback	Nov 1, 2020	Click-Through Rate PredictionLearning-To-Rank	—Unverified
Toward Natural Language Mitigation Strategies for Cognitive Biases in Recommender Systems	Nov 1, 2020	Recommendation SystemsSurvey	—Unverified
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation	Oct 29, 2020	Data AugmentationRecommendation Systems	—Unverified
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System	Oct 29, 2020	counterfactualCounterfactual Inference	CodeCode Available
Attentional Autoencoder for Course Recommendation in MOOC with Course Relevance	Oct 29, 2020	Recommendation Systems	—Unverified
The item selection problem for user cold-start recommendation	Oct 27, 2020	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