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 3051–3100 of 6047 papers

Title	Date	Tasks	Status
Preliminary Evaluation of the Test-Time Training Layers in Recommendation System (Student Abstract)	Nov 19, 2024	Recommendation Systems	—Unverified
PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records	Aug 28, 2020	Recommendation Systems	—Unverified
Presentation a Trust Walker for rating prediction in Recommender System with Biased Random Walk: Effects of H-index Centrality, Similarity in Items and Friends	Sep 10, 2020	Decision MakingRecommendation Systems	—Unverified
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens	Jul 15, 2020	Decision MakingEnsemble Learning	—Unverified
Preserving Privacy and Utility in LLM-Based Product Recommendations	May 2, 2025	Collaborative FilteringLarge Language Model	—Unverified
PreSizE: Predicting Size in E-Commerce using Transformers	May 4, 2021	Recommendation Systems	—Unverified
PreSto: An In-Storage Data Preprocessing System for Training Recommendation Models	Jun 11, 2024	CPUGPU	—Unverified
Pre-train and Fine-tune: Recommenders as Large Models	Jan 24, 2025	Recommendation Systems	—Unverified
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation	Sep 23, 2024	Knowledge DistillationLanguage Modeling	—Unverified
Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems	Sep 3, 2023	Collaborative FilteringRecommendation Systems	—Unverified
Pre-training Graph Neural Network for Cross Domain Recommendation	Nov 16, 2021	Graph Neural NetworkGraph Representation Learning	—Unverified
Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network	Nov 28, 2021	Graph Neural NetworkRecommendation Systems	—Unverified
Preventing the Popular Item Embedding Based Attack in Federated Recommendations	Feb 18, 2025	Recommendation Systems	—Unverified
Price and Profit Awareness in Recommender Systems	Jul 25, 2017	Recommendation Systems	—Unverified
Price-guided user attention in large-scale E-commerce group recommendation	Oct 2, 2024	Decision MakingRecommendation Systems	—Unverified
printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning	Aug 19, 2023	Graph LearningRecommendation Systems	—Unverified
Prioritized Multi-Criteria Federated Learning	Jul 17, 2020	Federated Learningimage-classification	—Unverified
Prioritized Ranking Experimental Design Using Recommender Systems in Two-Sided Platforms	Feb 13, 2025	Experimental DesignRecommendation Systems	—Unverified
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations	Jul 10, 2018	Decision MakingFairness	—Unverified
Privacy in Deep Learning: A Survey	Apr 25, 2020	Deep LearningRecommendation Systems	—Unverified
Privacy-Preserving Matrix Factorization for Recommendation Systems using Gaussian Mechanism	Apr 11, 2023	Privacy PreservingRecommendation Systems	—Unverified
Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation	Nov 29, 2024	AttributeFairness	—Unverified
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline	Apr 28, 2020	Recommendation Systems	—Unverified
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models	May 10, 2023	Privacy PreservingRecommendation Systems	—Unverified
Privacy-preserving recommender system using the data collaboration analysis for distributed datasets	May 24, 2024	PredictionPrivacy Preserving	—Unverified
Privacy-preserving Targeted Advertising	Jun 18, 2018	Collaborative FilteringPrivacy Preserving	—Unverified
Privacy Threats Against Federated Matrix Factorization	Jul 3, 2020	Collaborative FilteringFederated Learning	—Unverified
Sample-Efficient Personalization: Modeling User Parameters as Low Rank Plus Sparse Components	Oct 7, 2022	Meta-LearningRecommendation Systems	—Unverified
Private and Utility Enhanced Recommendations with Local Differential Privacy and Gaussian Mixture Model	Feb 26, 2021	Recommendation Systems	—Unverified
Private Private Information	Dec 29, 2021	Causal InferenceFairness	—Unverified
PrivateRec: Differentially Private Training and Serving for Federated News Recommendation	Apr 18, 2022	Federated LearningNews Recommendation	—Unverified
Privileged Graph Distillation for Cold Start Recommendation	May 31, 2021	AttributeCollaborative Filtering	—Unverified
PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems	Sep 29, 2022	Federated LearningPrivacy Preserving	—Unverified
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation	Oct 16, 2020	Privacy PreservingRecommendation Systems	—Unverified
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation	Apr 1, 2022	Decision MakingFederated Learning	—Unverified
Learning Robust Recommenders through Cross-Model Agreement	May 20, 2021	Denoisingmodel	—Unverified
Feature Noise Resilient for QoS Prediction with Probabilistic Deep Supervision	Aug 3, 2023	PredictionRecommendation Systems	—Unverified
Probabilistic Graphical Models for Credibility Analysis in Evolving Online Communities	Jul 26, 2017	Language ModelingLanguage Modelling	—Unverified
Probabilistic low-rank matrix completion on finite alphabets	Dec 8, 2014	Dimensionality ReductionLow-Rank Matrix Completion	—Unverified
Probabilistic Matrix Factorization with Personalized Differential Privacy	Oct 19, 2018	Recommendation Systems	—Unverified
Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation	Jan 13, 2021	Metric LearningRecommendation Systems	—Unverified
Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments	Jan 10, 2013	Recommendation Systems	—Unverified
Probabilistic Submodular Maximization in Sub-Linear Time	Aug 1, 2017	Recommendation Systems	—Unverified
Probably Approximately Precision and Recall Learning	Nov 20, 2024	Multi-Label LearningPAC learning	—Unverified
Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling -- ORSUM 2021	Jan 12, 2022	Recommendation Systems	—Unverified
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products	Mar 20, 2018	Recommendation Systems	—Unverified
Profiling vs. Time vs. Content: What does Matter for Top-k Publication Recommendation based on Twitter Profiles? - An Extended Technical Report	Apr 18, 2016	Recommendation Systems	—Unverified
A Narrative Review of Identity, Data, and Location Privacy Techniques in Edge Computing and Mobile Crowdsourcing	Jan 20, 2024	Cloud ComputingEdge-computing	—Unverified
Projection: A Mixed-Initiative Research Process	Jan 9, 2022	ClusteringRecommendation Systems	—Unverified
Projection techniques to update the truncated SVD of evolving matrices	Oct 13, 2020	Recommendation Systems	—Unverified

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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