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 3101–3150 of 6047 papers

Title	Date	Tasks	Status	Hype
Learning Backward Compatible Embeddings	Jun 7, 2022	Fraud DetectionProduct Recommendation	CodeCode Available	1
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction	Jun 7, 2022	ClusteringRecommendation Systems	—Unverified	0
A Bird's-Eye Tutorial of Graph Attention Architectures	Jun 6, 2022	Graph AttentionGraph Mining	—Unverified	0
Pessimistic Off-Policy Optimization for Learning to Rank	Jun 6, 2022	Learning-To-RankRecommendation Systems	—Unverified	0
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer	Jun 6, 2022	Recommendation SystemsSequential Recommendation	CodeCode Available	1
Offline Evaluation of Ranked Lists using Parametric Estimation of Propensities	Jun 6, 2022	Learning-To-RankRecommendation Systems	—Unverified	0
Augmenting Netflix Search with In-Session Adapted Recommendations	Jun 5, 2022	Recommendation Systems	—Unverified	0
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation	Jun 5, 2022	BinarizationInformativeness	—Unverified	0
Infinite Recommendation Networks: A Data-Centric Approach	Jun 3, 2022	Information RetrievalRecommendation Systems	CodeCode Available	2
A federated graph neural network framework for privacy-preserving personalization	Jun 2, 2022	Federated LearningGraph Neural Network	CodeCode Available	1
A Large Interlinked Knowledge Graph of the Italian Cultural Heritage	Jun 1, 2022	Natural Language UnderstandingRecommendation Systems	—Unverified	0
Invited talk: From Data to Meaning in Representation of Emotions	Jun 1, 2022	Knowledge GraphsManagement	—Unverified	0
Introducing RezoJDM16k: a French KnowledgeGraph DataSet for Link Prediction	Jun 1, 2022	16kBenchmarking	—Unverified	0
Development of a Benchmark Corpus to Support Entity Recognition in Job Descriptions	Jun 1, 2022	Recommendation Systems	—Unverified	0
Don’t Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations	Jun 1, 2022	DiversityNews Recommendation	—Unverified	0
DeepREF: A Framework for Optimized Deep Learning-based Relation Classification	Jun 1, 2022	Deep LearningQuestion Answering	CodeCode Available	0
The Engage Corpus: A Social Media Dataset for Text-Based Recommender Systems	Jun 1, 2022	MisinformationRecommendation Systems	CodeCode Available	0
SIMI : un système de suggestion de littérature médicale (SIMI: A recommender system of medical literature)	Jun 1, 2022	Recommendation Systems	—Unverified	0
In the Eye of the Beholder: Robust Prediction with Causal User Modeling	Jun 1, 2022	Recommendation Systems	—Unverified	0
HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction	Jun 1, 2022	AttributeClick-Through Rate Prediction	—Unverified	0
Generalized Delayed Feedback Model with Post-Click Information in Recommender Systems	Jun 1, 2022	Recommendation Systems	CodeCode Available	1
Contemporary Recommendation Systems on Big Data and Their Applications: A Survey	May 31, 2022	Collaborative FilteringRecommendation Systems	—Unverified	0
Distributed Graph Neural Network Training with Periodic Stale Representation Synchronization	May 31, 2022	Graph EmbeddingGraph Neural Network	—Unverified	0
Semantically-enhanced Topic Recommendation System for Software Projects	May 31, 2022	Recommendation Systems	CodeCode Available	0
COIN: Co-Cluster Infomax for Bipartite Graphs	May 31, 2022	Drug DiscoveryInformation Retrieval	—Unverified	0
Unbiased Implicit Feedback via Bi-level Optimization	May 31, 2022	Recommendation Systems	—Unverified	0
DotMat: Solving Cold-start Problem and Alleviating Sparsity Problem for Recommender Systems	May 31, 2022	Recommendation Systems	—Unverified	0
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity	May 30, 2022	FairnessFederated Learning	—Unverified	0
A multimedia recommendation model based on collaborative graph	May 30, 2022	Graph Neural Networkmodel	—Unverified	0
Uncertainty Quantification for Fairness in Two-Stage Recommender Systems	May 30, 2022	FairnessRecommendation Systems	CodeCode Available	0
Enhancing Sequential Recommendation with Graph Contrastive Learning	May 30, 2022	Auxiliary LearningContrastive Learning	—Unverified	0
Deep Deconfounded Content-based Tag Recommendation for UGC with Causal Intervention	May 28, 2022	Recommendation SystemsTAG	CodeCode Available	0
A Design Space for Explainable Ranking and Ranking Models	May 27, 2022	Decision MakingDescriptive	—Unverified	0
Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder	May 27, 2022	DecoderNews Recommendation	CodeCode Available	1
Content Filtering with Inattentive Information Consumers	May 27, 2022	MisinformationRecommendation Systems	—Unverified	0
Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment	May 26, 2022	Multi-Armed BanditsQ-Learning	—Unverified	0
Sequential Nature of Recommender Systems Disrupts the Evaluation Process	May 26, 2022	Recommendation Systems	CodeCode Available	0
Fairness in Recommendation: Foundations, Methods and Applications	May 26, 2022	Decision MakingFairness	—Unverified	0
Constrained Reinforcement Learning for Short Video Recommendation	May 26, 2022	Recommendation Systemsreinforcement-learning	—Unverified	0
Cali3F: Calibrated Fast Fair Federated Recommendation System	May 26, 2022	FairnessFederated Learning	—Unverified	0
TrustGNN: Graph Neural Network based Trust Evaluation via Learnable Propagative and Composable Nature	May 25, 2022	Graph Neural NetworkRecommendation Systems	—Unverified	0
Apport des ontologies pour le calcul de la similarité sémantique au sein d'un système de recommandation	May 25, 2022	Recommendation SystemsSemantic Similarity	—Unverified	0
Factorized Structured Regression for Large-Scale Varying Coefficient Models	May 25, 2022	Recommendation Systemsregression	—Unverified	0
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation	May 24, 2022	Collaborative FilteringContrastive Learning	CodeCode Available	0
recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms	May 24, 2022	Recommendation Systems	CodeCode Available	2
Using user's local context to support local news	May 24, 2022	ArticlesRecommendation Systems	—Unverified	0
MealRec: A Meal Recommendation Dataset	May 24, 2022	Recommendation Systems	CodeCode Available	0
Meta Policy Learning for Cold-Start Conversational Recommendation	May 24, 2022	Conversational RecommendationMeta Reinforcement Learning	CodeCode Available	0
ItemSage: Learning Product Embeddings for Shopping Recommendations at Pinterest	May 24, 2022	Multi-Task LearningRecommendation Systems	—Unverified	0
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks	May 24, 2022	AttributeInference Attack	—Unverified	0

Show:10 25 50

← PrevPage 63 of 121Next →

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