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 4501–4550 of 6047 papers

Title	Date	Tasks	Status	Hype
Non-IID Recommender Systems: A Review and Framework of Recommendation Paradigm Shifting	Jul 1, 2020	Recommendation Systems	—Unverified	0
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph	Jul 1, 2020	Recommendation Systems	CodeCode Available	1
Interactive Path Reasoning on Graph for Conversational Recommendation	Jul 1, 2020	AttributeConversational Recommendation	—Unverified	0
e-Commerce and Sentiment Analysis: Predicting Outcomes of Class Action Lawsuits	Jul 1, 2020	ManagementRecommendation Systems	—Unverified	0
Item-based Collaborative Filtering with BERT	Jul 1, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
Learning Post-Hoc Causal Explanations for Recommendation	Jun 30, 2020	counterfactualRecommendation Systems	—Unverified	0
Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction	Jun 29, 2020	Click-Through Rate PredictionLearning-To-Rank	—Unverified	0
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion	Jun 29, 2020	Graph EmbeddingKnowledge Graph Completion	CodeCode Available	1
TFNet: Multi-Semantic Feature Interaction for CTR Prediction	Jun 29, 2020	Click-Through Rate PredictionPrediction	—Unverified	0
Multi-sided Exposure Bias in Recommendation	Jun 29, 2020	DiversityRecommendation Systems	CodeCode Available	0
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation	Jun 28, 2020	Collaborative FilteringDomain Adaptation	CodeCode Available	1
Learning Optimal Tree Models Under Beam Search	Jun 27, 2020	Information RetrievalRecommendation Systems	—Unverified	0
AutoRec: An Automated Recommender System	Jun 26, 2020	AutoMLClick-Through Rate Prediction	CodeCode Available	0
Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments	Jun 26, 2020	Graph LearningGraph Representation Learning	—Unverified	0
Memory-efficient Embedding for Recommendations	Jun 26, 2020	AutoMLRecommendation Systems	—Unverified	0
Mood-based On-Car Music Recommendations	Jun 25, 2020	Recommendation Systems	—Unverified	0
Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures	Jun 23, 2020	Deep LearningRecommendation Systems	CodeCode Available	1
A Framework for Fairness in Two-Sided Marketplaces	Jun 23, 2020	FairnessRecommendation Systems	—Unverified	0
Seq2Seq and Joint Learning Based Unix Command Line Prediction System	Jun 20, 2020	Recommendation Systems	CodeCode Available	0
Enhancing Factorization Machines with Generalized Metric Learning	Jun 20, 2020	AttributeMetric Learning	CodeCode Available	0
Achieving Fairness via Post-Processing in Web-Scale Recommender Systems	Jun 19, 2020	AttributeFairness	—Unverified	0
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty	Jun 19, 2020	Recommendation Systems	CodeCode Available	0
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection	Jun 19, 2020	BIG-bench Machine Learningimage-classification	CodeCode Available	1
Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula	Jun 18, 2020	ImputationMatrix Completion	CodeCode Available	1
A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention	Jun 18, 2020	AttributeKnowledge Graphs	—Unverified	0
Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect	Jun 18, 2020	Decision MakingMulti-Armed Bandits	—Unverified	0
Temporal Graph Networks for Deep Learning on Dynamic Graphs	Jun 18, 2020	Deep LearningRecommendation Systems	CodeCode Available	1
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning	Jun 18, 2020	Decision MakingRecommendation Systems	—Unverified	0
Deep Learning feature selection to unhide demographic recommender systems factors	Jun 17, 2020	Collaborative FilteringDeep Learning	—Unverified	0
DCAF: A Dynamic Computation Allocation Framework for Online Serving System	Jun 17, 2020	Recommendation SystemsRetrieval	—Unverified	0
An Intelligent Group Event Recommendation System in Social networks	Jun 16, 2020	Recommendation Systems	—Unverified	0
User Profiling from Reviews for Accurate Time-Based Recommendations	Jun 15, 2020	Recommendation Systems	—Unverified	0
A systematic review and taxonomy of explanations in decision support and recommender systems	Jun 15, 2020	Decision MakingRecommendation Systems	—Unverified	0
Evaluating Conversational Recommender Systems via User Simulation	Jun 15, 2020	Conversational Information AccessRecommendation Systems	CodeCode Available	0
Latent Bandits Revisited	Jun 15, 2020	Recommendation SystemsThompson Sampling	—Unverified	0
Intelligent Decision Support System for Updating Control Plans	Jun 15, 2020	Decision MakingRecommendation Systems	—Unverified	0
Robust Federated Recommendation System	Jun 15, 2020	Recommendation Systems	—Unverified	0
Adversarial Attacks and Detection on Reinforcement Learning-Based Interactive Recommender Systems	Jun 14, 2020	Interactive RecommendationRecommendation Systems	—Unverified	0
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification	Jun 14, 2020	Recommendation SystemsUncertainty Quantification	CodeCode Available	0
Low-Rank Factorization for Rank Minimization with Nonconvex Regularizers	Jun 13, 2020	Recommendation Systems	CodeCode Available	0
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction	Jun 10, 2020	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	1
Self-Supervised Reinforcement Learning for Recommender Systems	Jun 10, 2020	Q-LearningRecommendation Systems	—Unverified	0
Training with Multi-Layer Embeddings for Model Reduction	Jun 10, 2020	Click-Through Rate Predictionmodel	—Unverified	0
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System	Jun 10, 2020	Feature EngineeringNeural Architecture Search	—Unverified	0
DeepFair: Deep Learning for Improving Fairness in Recommender Systems	Jun 9, 2020	Collaborative FilteringDeep Learning	—Unverified	0
Learning the Truth From Only One Side of the Story	Jun 8, 2020	Recommendation Systems	—Unverified	0
MC2G: An Efficient Algorithm for Matrix Completion with Social and Item Similarity Graphs	Jun 8, 2020	ClusteringMatrix Completion	—Unverified	0
Differentiable Neural Input Search for Recommender Systems	Jun 8, 2020	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation	Jun 7, 2020	Recommendation Systems	CodeCode Available	0
Feature Interaction based Neural Network for Click-Through Rate Prediction	Jun 7, 2020	Click-Through Rate PredictionPrediction	—Unverified	0

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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	GC-MC	RMSE (u1 Splits)	0.91	—	Unverified
9	FedPerGNN	RMSE	0.91	—	Unverified
10	Self-Supervised Exchangeable Model	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	SimpleX	NDCG@20	0.06	—	Unverified
6	MGDCF	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	CR-Walker	Recall@1	0.04	—	Unverified
6	CRFR	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