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
Recommendation Through Mixtures of Heterogeneous Item Relationships	Aug 29, 2018	Knowledge Graph EmbeddingsRecommendation Systems	CodeCode Available
Understanding Latent Factors Using a GWAP	Aug 29, 2018	Recommendation Systems	—Unverified
Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach	Aug 27, 2018	Bilingual Lexicon InductionMultilingual Word Embeddings	CodeCode Available
ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing	Aug 27, 2018	Meta-LearningRecommendation Systems	—Unverified
Who is Really Affected by Fraudulent Reviews? An analysis of shilling attacks on recommender systems in real-world scenarios	Aug 21, 2018	Recommendation Systems	—Unverified
LRMM: Learning to Recommend with Missing Modalities	Aug 21, 2018	Recommendation Systems	—Unverified
The Deconfounded Recommender: A Causal Inference Approach to Recommendation	Aug 20, 2018	Causal InferenceRecommendation Systems	—Unverified
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations	Aug 20, 2018	Collaborative FilteringRecommendation Systems	—Unverified
Attainment Ratings for Graph-Query Recommendation	Aug 17, 2018	Recommendation Systems	—Unverified
Efficiently Learning Mixtures of Mallows Models	Aug 17, 2018	Recommendation Systems	—Unverified
IceBreaker: Solving Cold Start Problem for Video Recommendation Engines	Aug 16, 2018	Recommendation Systems	—Unverified
Neural Collaborative Ranking	Aug 15, 2018	Collaborative FilteringCollaborative Ranking	—Unverified
A Simple Convolutional Generative Network for Next Item Recommendation	Aug 15, 2018	Recommendation Systems	CodeCode Available
VizML: A Machine Learning Approach to Visualization Recommendation	Aug 14, 2018	BIG-bench Machine LearningData Visualization	CodeCode Available
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments	Aug 14, 2018	Recommendation Systems	—Unverified
Adversarial Personalized Ranking for Recommendation	Aug 12, 2018	Recommendation Systems	CodeCode Available
Outer Product-based Neural Collaborative Filtering	Aug 12, 2018	Collaborative FilteringMulti-Domain Recommender Systems	CodeCode Available
A Hybrid Recommender System for Patient-Doctor Matchmaking in Primary Care	Aug 9, 2018	Collaborative FilteringRecommendation Systems	—Unverified
Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams	Aug 6, 2018	ClusteringRecommendation Systems	—Unverified
RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising	Aug 2, 2018	Product RecommendationRecommendation Systems	CodeCode Available
Mixture Matrix Completion	Aug 2, 2018	ClusteringMatrix Completion	—Unverified
Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy	Aug 1, 2018	Multi-Label ClassificationMUlTI-LABEL-ClASSIFICATION	—Unverified
Authorship Identification for Literary Book Recommendations	Aug 1, 2018	Collaborative FilteringRecommendation Systems	—Unverified
Genre Identification and the Compositional Effect of Genre in Literature	Aug 1, 2018	Decision MakingInformation Retrieval	—Unverified
An Ontology-Based Recommender System with an Application to the Star Trek Television Franchise	Jul 31, 2018	Collaborative FilteringRecommendation Systems	CodeCode Available
News Session-Based Recommendations using Deep Neural Networks	Jul 31, 2018	ArticlesNews Recommendation	CodeCode Available
Graph-Based Recommendation System	Jul 31, 2018	Recommendation Systems	—Unverified
Rank and Rate: Multi-task Learning for Recommender Systems	Jul 31, 2018	Multi-Task LearningPrediction	—Unverified
The Importance of Context When Recommending TV Content: Dataset and Algorithms	Jul 30, 2018	Recommendation Systems	—Unverified
Do Better ImageNet Models Transfer Better... for Image Recommendation?	Jul 25, 2018	Recommendation SystemsTransfer Learning	—Unverified
Learning from Delayed Outcomes via Proxies with Applications to Recommender Systems	Jul 24, 2018	Recommendation Systems	—Unverified
Recurrent Neural Networks for Long and Short-Term Sequential Recommendation	Jul 23, 2018	Dimensionality ReductionRecommendation Systems	—Unverified
Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations	Jul 19, 2018	ManagementRecommendation Systems	—Unverified
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts	Jul 19, 2018	Binary ClassificationClick-Through Rate Prediction	CodeCode Available
Deep Content-User Embedding Model for Music Recommendation	Jul 18, 2018	Collaborative Filteringmodel	CodeCode Available
Improving Explainable Recommendations with Synthetic Reviews	Jul 18, 2018	Language Model EvaluationLanguage Modeling	—Unverified
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence	Jul 18, 2018	Collaborative FilteringRecommendation Systems	—Unverified
RARD II: The 94 Million Related-Article Recommendation Dataset	Jul 18, 2018	ManagementMeta-Learning	—Unverified
User Fairness in Recommender Systems	Jul 17, 2018	DiversityFairness	—Unverified
Explanations for Temporal Recommendations	Jul 17, 2018	Recommendation Systems	—Unverified
Knowledge-aware Autoencoders for Explainable Recommender Sytems	Jul 17, 2018	DiversityRecommendation Systems	—Unverified
Analyzing Hypersensitive AI: Instability in Corporate-Scale Machine Learning	Jul 17, 2018	BIG-bench Machine LearningRecommendation Systems	—Unverified
An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation	Jul 16, 2018	Recommendation SystemsSession-Based Recommendations	—Unverified
Analysis and Modeling of Behavioral Changes in a News Service	Jul 16, 2018	ClusteringCollaborative Filtering	—Unverified
A Distributed Collaborative Filtering Algorithm Using Multiple Data Sources	Jul 16, 2018	Collaborative FilteringRecommendation Systems	—Unverified
Machine Learning Approaches to Hybrid Music Recommender Systems	Jul 16, 2018	BIG-bench Machine LearningRecommendation Systems	—Unverified
A Collective Variational Autoencoder for Top-N Recommendation with Side Information	Jul 16, 2018	Recommendation Systems	—Unverified
Magnitude Bounded Matrix Factorisation for Recommender Systems	Jul 15, 2018	Recommendation Systems	—Unverified
Joint Modeling and Optimization of Search and Recommendation	Jul 15, 2018	Recommendation SystemsRetrieval	—Unverified
A Hybrid Variational Autoencoder for Collaborative Filtering	Jul 14, 2018	ClusteringCollaborative Filtering	CodeCode Available

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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