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

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Showing 1151–1200 of 6047 papers

Title	Date	Tasks	Status
Preferences Evolve And So Should Your Bandits: Bandits with Evolving States for Online Platforms	Jul 21, 2023	Multi-Armed BanditsRecommendation Systems	—Unverified
Analytical and Empirical Study of Herding Effects in Recommendation Systems	Aug 20, 2024	Recommendation Systems	—Unverified
Bandits Warm-up Cold Recommender Systems	Jul 10, 2014	Multi-Armed BanditsRecommendation Systems	—Unverified
Bandits Under The Influence (Extended Version)	Sep 21, 2020	Recommendation SystemsThompson Sampling	—Unverified
Analysis of User Dwell Time by Category in News Application	Aug 23, 2019	Recommendation Systems	—Unverified
A decentralized trust-aware collaborative filtering recommender system based on weighted items for social tagging systems	Jun 12, 2019	Collaborative FilteringRecommendation Systems	—Unverified
100 Things You Always Wanted to Know about Semantics \& Pragmatics But Were Afraid to Ask	Jul 1, 2018	Recommendation SystemsUnsupervised Person Re-Identification	—Unverified
ConvFormer: Revisiting Transformer for Sequential User Modeling	Aug 5, 2023	Recommendation Systems	—Unverified
CoProver: A Recommender System for Proof Construction	Mar 1, 2023	Information RetrievalLEMMA	—Unverified
Correcting for Selection Bias in Learning-to-rank Systems	Jan 29, 2020	counterfactualLearning-To-Rank	—Unverified
BanditMF: Multi-Armed Bandit Based Matrix Factorization Recommender System	Jun 21, 2021	Collaborative FilteringMulti-Armed Bandits	—Unverified
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences	Sep 29, 2021	Recommendation Systems	—Unverified
Analysis of Drug repurposing Knowledge graphs for Covid-19	Dec 7, 2022	Graph EmbeddingKnowledge Graph Embedding	—Unverified
Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments	Nov 8, 2023	Learning-To-RankPosition	—Unverified
Bandit Learning in Matching Markets: Utilitarian and Rawlsian Perspectives	Nov 30, 2024	Recommendation Systems	—Unverified
Analysis of Corrected Graph Convolutions	May 22, 2024	ClassificationNode Classification	—Unverified
Addressing the Multistakeholder Impact of Popularity Bias in Recommendation Through Calibration	Jul 23, 2020	FairnessRecommendation Systems	—Unverified
Bandit Learning for Diversified Interactive Recommendation	Jul 1, 2019	Bayesian InferenceDiversity	—Unverified
Bandana: Using Non-volatile Memory for Storing Deep Learning Models	Nov 14, 2018	Deep Learninghypergraph partitioning	—Unverified
Analysis and Visualization of the Parameter Space of Matrix Factorization-based Recommender Systems	Mar 25, 2023	Recommendation Systems	—Unverified
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations	Apr 17, 2023	ImputationRecommendation Systems	—Unverified
Balancing Multi-level Interactions for Session-based Recommendation	Oct 29, 2019	Recommendation SystemsSession-Based Recommendations	—Unverified
Analysis and Modeling of Behavioral Changes in a News Service	Jul 16, 2018	ClusteringCollaborative Filtering	—Unverified
Addressing the Item Cold-start Problem by Attribute-driven Active Learning	May 23, 2018	Active LearningAttribute	—Unverified
A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers	Oct 9, 2020	ClusteringDiversity	—Unverified
Balancing Information Perception with Yin-Yang: Agent-Based Information Neutrality Model for Recommendation Systems	Apr 7, 2024	DiversityRecommendation Systems	—Unverified
Addressing the Extreme Cold-Start Problem in Group Recommendation	Oct 18, 2022	Recommendation Systems	—Unverified
Link Stream Graph for Temporal Recommendations	Mar 27, 2019	Recommendation Systems	—Unverified
An Algorithm for Recommending Groceries Based on an Item Ranking Method	May 3, 2021	Recommendation Systems	—Unverified
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning	Jun 25, 2021	FairnessInteractive Recommendation	—Unverified
Addressing the cold start problem in privacy preserving content-based recommender systems using hypercube graphs	Oct 13, 2023	Collaborative FilteringPrivacy Preserving	—Unverified
Conversational Recommendation System using NLP and Sentiment Analysis	May 17, 2025	Conversational RecommendationDynamic Time Warping	—Unverified
Balancing Accuracy and Diversity in Recommendations using Matrix Completion Framework	Dec 11, 2019	Collaborative FilteringDiversity	—Unverified
A Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System	Jan 16, 2021	Recommendation Systems	—Unverified
A Worrying Reproducibility Study of Intent-Aware Recommendation Models	Jan 17, 2025	Recommendation Systems	—Unverified
Avoid Recommending Out-of-Domain Items: Constrained Generative Recommendation with LLMs	May 6, 2025	Recommendation Systems	—Unverified
An AI-based solution for the cold start and data sparsity problems in the recommendation systems	Dec 4, 2023	Information RetrievalRecommendation Systems	—Unverified
Conversational Recommendation System with Unsupervised Learning	Sep 22, 2016	Conversational RecommendationRecommendation Systems	—Unverified
Conversational Recommendation: Theoretical Model and Complexity Analysis	Nov 10, 2021	Conversational Recommendationmodel	—Unverified
An Admissible Shift-Consistent Method for Recommender Systems	Jul 17, 2023	FairnessImputation	—Unverified
Autoregressive Generation Strategies for Top-K Sequential Recommendations	Sep 26, 2024	Recommendation SystemsSequential Recommendation	—Unverified
An Adjustable Heat Conduction based KNN Approach for Session-based Recommendation	Jul 16, 2018	Recommendation SystemsSession-Based Recommendations	—Unverified
ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation	Nov 28, 2023	Contrastive LearningLanguage Modeling	—Unverified
Control Strategies for Recommendation Systems in Social Networks	Mar 10, 2024	Recommendation Systems	—Unverified
An Adaptive Similarity Measure to Tune Trust Influence in Memory-Based Collaborative Filtering	Dec 18, 2019	Collaborative FilteringRecommendation Systems	—Unverified
Automated Off-Policy Estimator Selection via Supervised Learning	Jun 26, 2024	counterfactualOff-policy evaluation	—Unverified
Embedding Compression in Recommender Systems: A Survey	Aug 5, 2024	Recommendation SystemsSurvey	—Unverified
AutoMLP: Automated MLP for Sequential Recommendations	Mar 11, 2023	Recommendation Systems	—Unverified
AutoML for Deep Recommender Systems: A Survey	Mar 25, 2022	AutoMLfeature selection	—Unverified
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering	Mar 11, 2022	Active LearningCollaborative Filtering	—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