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 5351–5400 of 6047 papers

Title	Date	Tasks	Status	Hype
Graph-Based Recommendation System	Jul 31, 2018	Recommendation Systems	—Unverified	0
Rank and Rate: Multi-task Learning for Recommender Systems	Jul 31, 2018	Multi-Task LearningPrediction	—Unverified	0
News Session-Based Recommendations using Deep Neural Networks	Jul 31, 2018	ArticlesNews Recommendation	CodeCode Available	0
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems	Jul 30, 2018	Knowledge-Aware RecommendationRecommendation Systems	CodeCode Available	1
The Importance of Context When Recommending TV Content: Dataset and Algorithms	Jul 30, 2018	Recommendation Systems	—Unverified	0
Do Better ImageNet Models Transfer Better... for Image Recommendation?	Jul 25, 2018	Recommendation SystemsTransfer Learning	—Unverified	0
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems	Jul 24, 2018	Recommendation Systems	—Unverified	0
Recurrent Neural Networks for Long and Short-Term Sequential Recommendation	Jul 23, 2018	Dimensionality ReductionRecommendation Systems	—Unverified	0
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts	Jul 19, 2018	Binary ClassificationClick-Through Rate Prediction	CodeCode Available	0
Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations	Jul 19, 2018	ManagementRecommendation Systems	—Unverified	0
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence	Jul 18, 2018	Collaborative FilteringRecommendation Systems	—Unverified	0
RARD II: The 94 Million Related-Article Recommendation Dataset	Jul 18, 2018	ManagementMeta-Learning	—Unverified	0
Improving Explainable Recommendations with Synthetic Reviews	Jul 18, 2018	Language Model EvaluationLanguage Modeling	—Unverified	0
Deep Content-User Embedding Model for Music Recommendation	Jul 18, 2018	Collaborative Filteringmodel	CodeCode Available	0
User Fairness in Recommender Systems	Jul 17, 2018	DiversityFairness	—Unverified	0
Knowledge-aware Autoencoders for Explainable Recommender Sytems	Jul 17, 2018	DiversityRecommendation Systems	—Unverified	0
Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine Learning	Jul 17, 2018	BIG-bench Machine LearningRecommendation Systems	—Unverified	0
Explanations for Temporal Recommendations	Jul 17, 2018	Recommendation Systems	—Unverified	0
Analysis and Modeling of Behavioral Changes in a News Service	Jul 16, 2018	ClusteringCollaborative Filtering	—Unverified	0
A Collective Variational Autoencoder for Top-N Recommendation with Side Information	Jul 16, 2018	Recommendation Systems	—Unverified	0
Machine Learning Approaches to Hybrid Music Recommender Systems	Jul 16, 2018	BIG-bench Machine LearningRecommendation Systems	—Unverified	0
An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation	Jul 16, 2018	Recommendation SystemsSession-Based Recommendations	—Unverified	0
A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources	Jul 16, 2018	Collaborative FilteringRecommendation Systems	—Unverified	0
Joint Modeling and Optimization of Search and Recommendation	Jul 15, 2018	Recommendation SystemsRetrieval	—Unverified	0
Magnitude Bounded Matrix Factorisation for Recommender Systems	Jul 15, 2018	Recommendation Systems	—Unverified	0
A Hybrid Variational Autoencoder for Collaborative Filtering	Jul 14, 2018	ClusteringCollaborative Filtering	CodeCode Available	0
The Importance of Song Context and Song Order in Automated Music Playlist Generation	Jul 12, 2018	Collaborative FilteringRecommendation Systems	—Unverified	0
Multi-Perspective Neural Architecture for Recommendation System	Jul 12, 2018	Recommendation Systems	—Unverified	0
Data Infrastructure and Approaches for Ontology-Based Drug Repurposing	Jul 12, 2018	Information RetrievalRecommendation Systems	—Unverified	0
The Rise of Guardians: Fact-checking URL Recommendation to Combat Fake News	Jul 11, 2018	Fact CheckingMisinformation	CodeCode Available	0
Local Popularity and Time in top-N Recommendation	Jul 11, 2018	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Limits to Surprise in Recommender Systems	Jul 10, 2018	Recommendation Systems	—Unverified	0
A quantum-inspired classical algorithm for recommendation systems	Jul 10, 2018	BIG-bench Machine LearningQuantum Machine Learning	CodeCode Available	0
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations	Jul 10, 2018	Decision MakingFairness	—Unverified	0
Recommender system for learning SQL using hints	Jul 7, 2018	Recommendation Systems	—Unverified	0
Scalable Recommender Systems through Recursive Evidence Chains	Jul 5, 2018	Matrix CompletionRecommendation Systems	—Unverified	0
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation	Jul 4, 2018	Recommendation Systemsreinforcement-learning	—Unverified	0
Providing Explanations for Recommendations in Reciprocal Environments	Jul 3, 2018	Recommendation Systems	—Unverified	0
A Unified Framework for Structured Low-rank Matrix Learning	Jul 1, 2018	Matrix CompletionMulti-Task Learning	—Unverified	0
Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams	Jul 1, 2018	ClusteringRecommendation Systems	—Unverified	0
Extreme Learning to Rank via Low Rank Assumption	Jul 1, 2018	Learning-To-RankRecommendation Systems	—Unverified	0
Kernelized Synaptic Weight Matrices	Jul 1, 2018	Collaborative FilteringData Visualization	CodeCode Available	0
Accelerated Spectral Ranking	Jul 1, 2018	Recommendation Systems	CodeCode Available	0
Augment and Reduce: Stochastic Inference for Large Categorical Distributions	Jul 1, 2018	General ClassificationRecommendation Systems	CodeCode Available	0
The Importance of Recommender and Feedback Features in a Pronunciation Learning Aid	Jul 1, 2018	Information RetrievalRecommendation Systems	—Unverified	0
Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations	Jul 1, 2018	DecoderRecommendation Systems	CodeCode Available	0
Modeling and Prediction of Online Product Review Helpfulness: A Survey	Jul 1, 2018	Recommendation SystemsSurvey	—Unverified	0
100 Things You Always Wanted to Know about Semantics \& Pragmatics But Were Afraid to Ask	Jul 1, 2018	Recommendation SystemsUnsupervised Person Re-Identification	—Unverified	0
GTR-LSTM: A Triple Encoder for Sentence Generation from RDF Data	Jul 1, 2018	Data-to-Text GenerationDecoder	—Unverified	0
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data	Jul 1, 2018	Click-Through Rate PredictionFeature Engineering	CodeCode Available	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	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