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 2001–2050 of 6047 papers

Title	Date	Tasks	Status
Enabling Complex Wikipedia Queries - Technical Report	Aug 13, 2015	Information RetrievalRecommendation Systems	—Unverified
Camouflaged Variational Graph AutoEncoder against Attribute Inference Attacks for Cross-Domain Recommendation	Apr 30, 2025	AttributeRecommendation Systems	—Unverified
CAM2: Conformity-Aware Multi-Task Ranking Model for Large-Scale Recommender Systems	Apr 17, 2023	Recommendation Systems	—Unverified
Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)	Oct 25, 2022	MemorizationRecommendation Systems	—Unverified
Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities	Jun 19, 2025	Contrastive LearningInformation Retrieval	—Unverified
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation	May 3, 2024	Language ModelingLanguage Modelling	—Unverified
A Novel Behavior-Based Recommendation System for E-commerce	Mar 27, 2024	ClusteringRecommendation Systems	—Unverified
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation	Mar 26, 2024	DenoisingRecommendation Systems	—Unverified
End-to-end Adaptive Distributed Training on PaddlePaddle	Dec 6, 2021	CPUGPU	—Unverified
End-to-End Graph-Sequential Representation Learning for Accurate Recommendations	Mar 1, 2024	Recommendation SystemsRepresentation Learning	—Unverified
Ae^2I: A Double Autoencoder for Imputation of Missing Values	Jan 16, 2023	ImputationMissing Values	—Unverified
Calibrating the Predictions for Top-N Recommendations	Aug 21, 2024	Recommendation Systems	—Unverified
End-to-end Learning for Short Text Expansion	Aug 30, 2017	Recommendation Systemstext-classification	—Unverified
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey	Feb 1, 2024	Recommendation Systems	—Unverified
Cali3F: Calibrated Fast Fair Federated Recommendation System	May 26, 2022	FairnessFederated Learning	—Unverified
Empirical Analysis of Predictive Algorithms for Collaborative Filtering	Jan 30, 2013	ClusteringCollaborative Filtering	—Unverified
EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet	Jun 1, 2018	Collaborative FilteringEmotion Classification	—Unverified
Energy saving in smart homes based on consumer behaviour: A case study	Sep 18, 2015	Recommendation Systems	—Unverified
Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems	Mar 28, 2024	Collaborative FilteringRecommendation Systems	—Unverified
Emotion-based Recommender System	May 22, 2025	Recommendation Systems	—Unverified
Emotion-Aware Music Recommendation System: Enhancing User Experience Through Real-Time Emotional Context	Nov 17, 2023	Music RecommendationRecommendation Systems	—Unverified
A NoSQL Data-based Personalized Recommendation System for C2C e-Commerce	Jun 26, 2018	Recommendation SystemsTopic Models	—Unverified
EMERS: Energy Meter for Recommender Systems	Sep 23, 2024	Recommendation Systems	—Unverified
Enhanced User Interaction in Operating Systems through Machine Learning Language Models	Feb 24, 2024	Language ModelingLanguage Modelling	—Unverified
Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations	Mar 5, 2024	Collaborative FilteringRecommendation Systems	—Unverified
Enhancing Adaptive Video Streaming through Fuzzy Logic-Based Content Recommendation Systems: A Comprehensive Review and Future Directions	Apr 10, 2024	Recommendation Systems	—Unverified
Enhancing Collaborative Filtering-Based Course Recommendations by Exploiting Time-to-Event Information with Survival Analysis	Feb 27, 2025	Collaborative FilteringRecommendation Systems	—Unverified
Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning	Jun 19, 2024	In-Context LearningLanguage Modeling	—Unverified
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training	Sep 27, 2023	Click-Through Rate PredictionRecommendation Systems	—Unverified
CAEN: A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment	Aug 29, 2022	AttributeRecommendation Systems	—Unverified
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations	May 19, 2024	DecoderLanguage Modeling	—Unverified
Enhancing Graph Neural Networks with Limited Labeled Data by Actively Distilling Knowledge from Large Language Models	Jul 19, 2024	Active LearningKnowledge Graphs	—Unverified
CADMR: Cross-Attention and Disentangled Learning for Multimodal Recommender Systems	Dec 3, 2024	DiversityRecommendation Systems	—Unverified
Vague Preference Policy Learning for Conversational Recommendation	Jun 7, 2023	AttributeConversational Recommendation	—Unverified
Embedding Ranking-Oriented Recommender System Graphs	Jul 31, 2020	Recommendation Systems	—Unverified
Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models	Oct 30, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified
CAdam: Confidence-Based Optimization for Online Learning	Nov 29, 2024	Recommendation Systems	—Unverified
Embedding Projector: Interactive Visualization and Interpretation of Embeddings	Nov 16, 2016	BIG-bench Machine LearningRecommendation Systems	—Unverified
Embedding models for recommendation under contextual constraints	Jun 21, 2019	Recommendation SystemsRetrieval	—Unverified
Cache-Aware Reinforcement Learning in Large-Scale Recommender Systems	Apr 23, 2024	Recommendation Systemsreinforcement-learning	—Unverified
An Offline Reinforcement Learning Algorithm Customized for Multi-Task Fusion in Large-Scale Recommender Systems	Apr 19, 2024	Efficient ExplorationMulti-Task Learning	—Unverified
Annotating Preferences in Negotiation Dialogues	Jul 1, 2012	Decision MakingRecommendation Systems	—Unverified
Enhancing News Recommendation with Hierarchical LLM Prompting	Apr 29, 2025	ArticlesNews Recommendation	—Unverified
Enhancing Performance and Scalability of Large-Scale Recommendation Systems with Jagged Flash Attention	Sep 19, 2024	GPURecommendation Systems	—Unverified
Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework	Oct 8, 2024	Recommendation Systems	—Unverified
Enhancing Recommendation Diversity by Re-ranking with Large Language Models	Jan 21, 2024	DiversityRecommendation Systems	—Unverified
A Dynamic Model of Performative Human-ML Collaboration: Theory and Empirical Evidence	May 22, 2024	Recommendation Systems	—Unverified
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations	Apr 3, 2022	Meta-LearningRecommendation Systems	—Unverified
Embedding Cultural Diversity in Prototype-based Recommender Systems	Dec 18, 2024	AttributeDiversity	—Unverified
CAB: Continuous Adaptive Blending Estimator for Policy Evaluation and Learning	Nov 6, 2018	counterfactualRecommendation 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