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 4601–4650 of 6047 papers

Title	Date	Tasks	Status	Hype
Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures	May 10, 2020	Cloud ComputingCPU	CodeCode Available	1
SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems	May 9, 2020	Graph AttentionRecommendation Systems	—Unverified	0
Cornac: A Comparative Framework for Multimodal Recommender Systems	May 8, 2020	BenchmarkingRecommendation Systems	—Unverified	0
Fair Algorithms for Hierarchical Agglomerative Clustering	May 7, 2020	ClusteringFairness	—Unverified	0
Stealing Links from Graph Neural Networks	May 5, 2020	Fraud DetectionRecommendation Systems	CodeCode Available	1
Community Detection Clustering via Gumbel Softmax	May 5, 2020	ClusteringCommunity Detection	—Unverified	0
Reward Constrained Interactive Recommendation with Natural Language Feedback	May 4, 2020	Interactive RecommendationRecommendation Systems	—Unverified	0
Human Strategic Steering Improves Performance of Interactive Optimization	May 4, 2020	Recommendation Systems	CodeCode Available	0
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems	May 3, 2020	DiversityFairness	—Unverified	0
Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities	May 1, 2020	Collaborative FilteringPoint Processes	—Unverified	0
A Comparison of Explicit and Implicit Proactive Dialogue Strategies for Conversational Recommendation	May 1, 2020	Conversational RecommendationInformation Retrieval	—Unverified	0
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering	Apr 30, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
DS-FACTO: Doubly Separable Factorization Machines	Apr 29, 2020	Recommendation SystemsStochastic Optimization	—Unverified	0
CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network	Apr 28, 2020	ChunkingRecommendation Systems	CodeCode Available	0
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline	Apr 28, 2020	Recommendation Systems	—Unverified	0
A Linear Bandit for Seasonal Environments	Apr 28, 2020	Music RecommendationRecommendation Systems	—Unverified	0
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems	Apr 28, 2020	Collaborative FilteringDeep Learning	—Unverified	0
Hierarchical clustering of bipartite data sets based on the statistical significance of coincidences	Apr 27, 2020	ClusteringRecommendation Systems	CodeCode Available	0
Personalized Recommendation of PoIs to People with Autism	Apr 27, 2020	Recommendation Systems	—Unverified	0
A session-based song recommendation approach involving user characterization along the play power-law distribution	Apr 25, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
Privacy in Deep Learning: A Survey	Apr 25, 2020	Deep LearningRecommendation Systems	—Unverified	0
Improving Recommendation Diversity by Highlighting the ExTrA Fabricated Experts	Apr 24, 2020	DiversityMarketing	—Unverified	0
Graph Learning Approaches to Recommender Systems: A Review	Apr 22, 2020	Collaborative FilteringGraph Learning	—Unverified	0
Alleviating the recommendation bias via rank aggregation	Apr 22, 2020	FairnessRecommendation Systems	—Unverified	0
A Generic Network Compression Framework for Sequential Recommender Systems	Apr 21, 2020	Recommendation SystemsSequential Recommendation	CodeCode Available	1
Beyond Optimizing for Clicks: Incorporating Editorial Values in News Recommendation	Apr 21, 2020	ArticlesDiversity	—Unverified	0
Lightrec: A memory and search-efficient recommender system	Apr 20, 2020	Recommendation Systems	CodeCode Available	1
Recommendation system using a deep learning and graph analysis approach	Apr 17, 2020	Community DetectionDeep Learning	CodeCode Available	0
Nucleus I: Adjunction spectra in recommender systems and descent	Apr 15, 2020	Recommendation Systems	—Unverified	0
Locality Sensitive Hashing for Set-Queries, Motivated by Group Recommendations	Apr 15, 2020	Recommendation Systems	—Unverified	0
A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation	Apr 14, 2020	Deep Reinforcement LearningInteractive Recommendation	CodeCode Available	1
Personalized Re-ranking for Improving Diversity in Live Recommender Systems	Apr 14, 2020	DiversityRecommendation Systems	—Unverified	0
paper2repo: GitHub Repository Recommendation for Academic Papers	Apr 13, 2020	Recommendation Systems	—Unverified	0
A Deep Graph Neural Network-Based Mechanism for Social Recommendations	Apr 10, 2020	Graph Neural NetworkRecommendation Systems	—Unverified	0
Tensor Decompositions for temporal knowledge base completion	Apr 10, 2020	Knowledge Base CompletionLink Prediction	CodeCode Available	1
Survey for Trust-aware Recommender Systems: A Deep Learning Perspective	Apr 8, 2020	Deep LearningRecommendation Systems	—Unverified	0
Practical Data Poisoning Attack against Next-Item Recommendation	Apr 7, 2020	Data PoisoningRecommendation Systems	—Unverified	0
A High-Performance Implementation of Bayesian Matrix Factorization with Limited Communication	Apr 6, 2020	Recommendation SystemsVocal Bursts Intensity Prediction	—Unverified	0
Enhancing Social Recommendation with Adversarial Graph Convolutional Networks	Apr 5, 2020	Recommendation Systems	—Unverified	0
Deep Match to Rank Model for Personalized Click-Through Rate Prediction	Apr 1, 2020	Click-Through Rate PredictionCollaborative Filtering	CodeCode Available	0
A Survey on Conversational Recommender Systems	Apr 1, 2020	ChatbotConversational Recommendation	—Unverified	0
Multi-label learning for dynamic model type recommendation	Apr 1, 2020	modelMulti-Label Learning	CodeCode Available	0
The impossibility of low rank representations for triangle-rich complex networks	Mar 27, 2020	ClusteringRecommendation Systems	—Unverified	0
Deep Learning on Knowledge Graph for Recommender System: A Survey	Mar 25, 2020	Deep LearningGraph Embedding	—Unverified	0
Unfair Exposure of Artists in Music Recommendation	Mar 25, 2020	FairnessMusic Recommendation	—Unverified	0
Preferential Batch Bayesian Optimization	Mar 25, 2020	Bayesian OptimizationBIG-bench Machine Learning	—Unverified	0
Multi-faceted Trust-based Collaborative Filtering	Mar 25, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction	Mar 25, 2020	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	1
Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles	Mar 22, 2020	ArticlesDocument Classification	CodeCode Available	1
Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social Networks	Mar 21, 2020	Fake News DetectionPrediction	—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	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