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 2951–3000 of 6047 papers

Title	Date	Tasks	Status
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness	Nov 6, 2020	Decision MakingManagement	—Unverified
Improving Semantic Similarity Measure Within a Recommender System Based-on RDF Graphs	Jul 20, 2023	Recommendation SystemsSemantic Similarity	—Unverified
Improving Sequential Recommendation with Attribute-augmented Graph Neural Networks	Mar 10, 2021	AttributeGraph Neural Network	—Unverified
Improving Sequential Recommender Systems with Online and In-store User Behavior	Dec 3, 2024	Recommendation Systems	—Unverified
Extending MovieLens-32M to Provide New Evaluation Objectives	Apr 2, 2025	Information RetrievalRecommendation Systems	—Unverified
Improving Social Media Popularity Prediction with Multiple Post Dependencies	Jul 28, 2023	PredictionRecommendation Systems	—Unverified
Clustering is Efficient for Approximate Maximum Inner Product Search	Jul 21, 2015	ClusteringRecommendation Systems	—Unverified
Improving Transformer-based Sequential Recommenders through Preference Editing	Jun 23, 2021	Recommendation SystemsSelf-Supervised Learning	—Unverified
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models	Aug 11, 2023	Language ModelingLanguage Modelling	—Unverified
Network embedding unveils the hidden interactions in the mammalian virome	May 31, 2021	Graph EmbeddingImputation	—Unverified
InBox: Recommendation with Knowledge Graph using Interest Box Embedding	Mar 19, 2024	Knowledge GraphsRecommendation Systems	—Unverified
D2RLIR : an improved and diversified ranking function in interactive recommendation systems based on deep reinforcement learning	Oct 28, 2021	Deep Reinforcement LearningDiversity	—Unverified
Incentivized Bandit Learning with Self-Reinforcing User Preferences	May 19, 2021	Recommendation Systems	—Unverified
Incentivizing Exploration with Selective Data Disclosure	Nov 14, 2018	Efficient ExplorationRecommendation Systems	—Unverified
Extended Recommendation Framework: Generating the Text of a User Review as a Personalized Summary	Dec 17, 2014	Recommendation Systems	—Unverified
Inclusive Ethical Design for Recommender Systems	Sep 13, 2022	Recommendation Systems	—Unverified
Leveraging LLMs for Influence Path Planning in Proactive Recommendation	Sep 7, 2024	DiversityInstruction Following	—Unverified
Incorporating Classifier-Free Guidance in Diffusion Model-Based Recommendation	Sep 16, 2024	Recommendation Systems	—Unverified
Incorporating Customer Reviews in Size and Fit Recommendation systems for Fashion E-Commerce	Aug 11, 2022	Recommendation Systems	—Unverified
Incorporating Domain Knowledge into Health Recommender Systems using Hyperbolic Embeddings	Jun 14, 2021	Recommendation SystemsRepresentation Learning	—Unverified
Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems	May 3, 2024	InformativenessRecommendation Systems	—Unverified
Incorporating Group Prior into Variational Inference for Tail-User Behavior Modeling in CTR Prediction	Oct 19, 2024	Click-Through Rate PredictionRecommendation Systems	—Unverified
Incorporating Metadata into Content-Based User Embeddings	Sep 1, 2017	AttributeData Augmentation	—Unverified
Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks	Mar 5, 2024	Cloud ComputingDeep Reinforcement Learning	—Unverified
Incorporating System-Level Objectives into Recommender Systems	May 31, 2019	Recommendation Systems	—Unverified
Incorporating User-Item Similarity in Hybrid Neighborhood-based Recommendation System	Sep 29, 2021	Collaborative FilteringRecommendation Systems	—Unverified
eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research	Mar 27, 2021	Recommendation Systemsvalid	—Unverified
Incremental Learning for Personalized Recommender Systems	Aug 13, 2021	Incremental LearningRecommendation Systems	—Unverified
Indexability and Rollout Policy for Multi-State Partially Observable Restless Bandits	Jul 30, 2021	Multi-Armed BanditsRecommendation Systems	—Unverified
Data Augmentation Strategies for Improving Sequential Recommender Systems	Mar 26, 2022	Data AugmentationRecommendation Systems	—Unverified
Community Detection Clustering via Gumbel Softmax	May 5, 2020	ClusteringCommunity Detection	—Unverified
Inductive Conformal Recommender System	Sep 18, 2021	Recommendation Systems	—Unverified
A recommender for the management of chronic pain in patients undergoing spinal cord stimulation	Sep 6, 2023	ManagementRecommendation Systems	—Unverified
Intrinsically Motivated Reinforcement Learning based Recommendation with Counterfactual Data Augmentation	Sep 17, 2022	counterfactualData Augmentation	—Unverified
Expressive recommender systems through normalized nonnegative models	Nov 15, 2015	Recommendation Systems	—Unverified
Exposure-Aware Recommendation using Contextual Bandits	Sep 4, 2022	Multi-Armed BanditsRecommendation Systems	—Unverified
Exposing Product Bias in LLM Investment Recommendation	Mar 11, 2025	FairnessRecommendation Systems	—Unverified
Data-driven Conditional Instrumental Variables for Debiasing Recommender Systems	Aug 19, 2024	Recommendation Systemsvalid	—Unverified
Inference Computation Scaling for Feature Augmentation in Recommendation Systems	Feb 22, 2025	MathRecommendation Systems	—Unverified
Data-Driven Interaction Review of an Ed-Tech Application	Dec 13, 2018	Recommendation Systems	—Unverified
Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast	Aug 1, 2016	Recommendation Systems	—Unverified
Inferring Substitutable and Complementary Products with Knowledge-Aware Path Reasoning based on Dynamic Policy Network	Oct 7, 2021	Decision MakingKnowledge Graphs	—Unverified
Inferring users' preferences through leveraging their social relationships	Nov 28, 2017	Recommendation Systems	—Unverified
Infinite Mixed Membership Matrix Factorization	Jan 15, 2014	Recommendation Systems	—Unverified
Clustering-Based Matrix Factorization	Jan 28, 2013	ClusteringRecommendation Systems	—Unverified
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems	Feb 19, 2020	Data PoisoningRecommendation Systems	—Unverified
Influencing Bandits: Arm Selection for Preference Shaping	Feb 29, 2024	Recommendation SystemsThompson Sampling	—Unverified
Influential Recommender System	Nov 18, 2022	Recommendation Systems	—Unverified
A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining	Oct 19, 2024	Click-Through Rate Predictionfeature selection	—Unverified
A General Method For Automatic Discovery of Powerful Interactions In Click-Through Rate Prediction	May 21, 2021	Click-Through Rate PredictionNeural Architecture Search	—Unverified

Show:10 25 50

← PrevPage 60 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