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 4801–4850 of 6047 papers

Title	Date	Tasks	Status
On Multi-Session Website Fingerprinting over TLS Handshake	Sep 19, 2020	Anomaly DetectionRecommendation Systems	—Unverified
On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots	Jun 1, 2024	Language ModelingLanguage Modelling	—Unverified
Framing Effects on Strategic Information Design under Receiver Distrust and Unknown State	May 12, 2020	Recommendation Systems	—Unverified
On strong convergence of the two-tower model for recommender system	Sep 29, 2021	Recommendation SystemsVocal Bursts Valence Prediction	—Unverified
On the Complexity of Inner Product Similarity Join	Oct 9, 2015	Information RetrievalRecommendation Systems	—Unverified
On the Design of Strategic Task Recommendations for Sustainable Crowdsourcing-Based Content Moderation	Jun 4, 2021	Recommendation SystemsSpeech-to-Text	—Unverified
On the effectiveness of convolutional autoencoders on image-based personalized recommender systems	Mar 13, 2020	Data AugmentationRecommendation Systems	—Unverified
On the Effectiveness of Sampled Softmax Loss for Item Recommendation	Jan 7, 2022	Contrastive LearningRecommendation Systems	—Unverified
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs	Sep 12, 2021	Matrix CompletionRecommendation Systems	—Unverified
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion	Sep 9, 2020	FairnessRecommendation Systems	—Unverified
On the Opportunities and Challenges of Offline Reinforcement Learning for Recommender Systems	Aug 22, 2023	Recommendation Systemsreinforcement-learning	—Unverified
On the Practice of Deep Hierarchical Ensemble Network for Ad Conversion Rate Prediction	Apr 10, 2025	Click-Through Rate PredictionRecommendation Systems	—Unverified
On the Relationship Between Counterfactual Explainer and Recommender	Jul 9, 2022	Collaborative Filteringcounterfactual	—Unverified
On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation	Sep 23, 2023	ArticlesContrastive Learning	—Unverified
On the Value of Bandit Feedback for Offline Recommender System Evaluation	Jul 26, 2019	Recommendation Systems	—Unverified
Ontology-based Context Aware Recommender System Application for Tourism	Dec 29, 2022	Collaborative FilteringRecommendation Systems	—Unverified
Ontology-Based Recommendation of Editorial Products	Mar 24, 2021	Recommendation Systems	—Unverified
OntoMath Digital Ecosystem: Ontologies, Mathematical Knowledge Analytics and Management	Feb 16, 2017	ManagementRecommendation Systems	—Unverified
OntoMath^PRO 2.0 Ontology: Updates of the Formal Model	Mar 17, 2023	ManagementMath	—Unverified
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering	Dec 2, 2020	AttributeBIG-bench Machine Learning	—Unverified
OpenTable data with multi-criteria ratings	Nov 22, 2024	Recommendation Systems	—Unverified
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces	Jan 15, 2021	DiversityRecommendation Systems	—Unverified
Operationalizing the Legal Principle of Data Minimization for Personalization	May 28, 2020	Recommendation Systems	—Unverified
Opinion and Suggestion Analysis for Expert Recommendations	Apr 1, 2012	Collaborative FilteringOpinion Mining	—Unverified
Opinion mining using Double Channel CNN for Recommender System	Jul 15, 2023	Opinion MiningRecommendation Systems	—Unverified
Opportunistic Multi-aspect Fairness through Personalized Re-ranking	May 21, 2020	AttributeFairness	—Unverified
Optimal Algorithms for Latent Bandits with Cluster Structure	Jan 17, 2023	Matrix CompletionRecommendation Systems	—Unverified
Optimal Algorithms for Stochastic Contextual Preference Bandits	Dec 1, 2021	Decision MakingInformation Retrieval	—Unverified
Optimal and Private Learning from Human Response Data	Mar 10, 2023	Privacy PreservingRecommendation Systems	—Unverified
Optimal δ-Correct Best-Arm Selection for Heavy-Tailed Distributions	Aug 24, 2019	Recommendation Systems	—Unverified
Optimal Dataset Size for Recommender Systems: Evaluating Algorithms' Performance via Downsampling	Feb 12, 2025	Recommendation Systems	—Unverified
Optimal Mixture Weights for Off-Policy Evaluation with Multiple Behavior Policies	Nov 29, 2020	Off-policy evaluationRecommendation Systems	—Unverified
Optimal Recommendation to Users that React: Online Learning for a Class of POMDPs	Mar 30, 2016	Recommendation SystemsReinforcement Learning	—Unverified
Optimal Sequential Recommendations: Exploiting User and Item Structure	Apr 28, 2025	Collaborative FilteringRecommendation Systems	—Unverified
Evaluating Online Bandit Exploration In Large-Scale Recommender System	Apr 5, 2023	FairnessRecommendation Systems	—Unverified
Optimistic Regret Bounds for Online Learning in Adversarial Markov Decision Processes	May 3, 2024	Decision MakingRecommendation Systems	—Unverified
Optimization and Analysis of the pAp@k Metric for Recommender Systems	Jan 1, 2020	Recommendation Systems	—Unverified
Optimization and Scalability of Collaborative Filtering Algorithms in Large Language Models	Dec 25, 2024	Collaborative FilteringComputational Efficiency	—Unverified
Optimization Matrix Factorization Recommendation Algorithm Based on Rating Centrality	Jun 20, 2018	Recommendation Systems	—Unverified
Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration	Jan 10, 2025	Recommendation Systems	—Unverified
Optimizing Audio Recommendations for the Long-Term: A Reinforcement Learning Perspective	Feb 7, 2023	Recommendation Systemsreinforcement-learning	—Unverified
Optimizing Encoder-Only Transformers for Session-Based Recommendation Systems	Oct 15, 2024	Data AugmentationRecommendation Systems	—Unverified
Optimizing generalized Gini indices for fairness in rankings	Apr 2, 2022	FairnessRecommendation Systems	—Unverified
Optimizing Gross Merchandise Volume via DNN-MAB Dynamic Ranking Paradigm	Aug 14, 2017	Recommendation Systems	—Unverified
Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach	Jul 31, 2020	FairnessRecommendation Systems	—Unverified
Optimizing Long-term Value for Auction-Based Recommender Systems via On-Policy Reinforcement Learning	May 23, 2023	Recommendation Systemsreinforcement-learning	—Unverified
Optimizing Oil and Gas Acquisitions Using Recommender Systems	Oct 7, 2021	Decision MakingRecommendation Systems	—Unverified
Optimizing Rankings for Recommendation in Matching Markets	Jun 3, 2021	FairnessRecommendation Systems	—Unverified
Optimizing Ranking Systems Online as Bandits	Oct 12, 2021	Learning-To-RankOnline Ranker Evaluation	—Unverified
Optimizing Recommendations using Fine-Tuned LLMs	May 11, 2025	BenchmarkingRecommendation 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