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 1601–1650 of 6047 papers

Title	Date	Tasks	Status	Hype
Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention	Feb 15, 2024	Contrastive LearningRecommendation Systems	—Unverified	0
User Modeling and User Profiling: A Comprehensive Survey	Feb 15, 2024	FairnessFake News Detection	—Unverified	0
Recommendation Algorithm Based on Recommendation Sessions	Feb 14, 2024	Recommendation Systems	—Unverified	0
Large Language Model Simulator for Cold-Start Recommendation	Feb 14, 2024	Collaborative FilteringLanguage Modeling	—Unverified	0
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction	Feb 14, 2024	Conformal PredictionModel Selection	—Unverified	0
Personalized Large Language Models	Feb 14, 2024	Emotion RecognitionHate Speech Detection	CodeCode Available	2
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems	Feb 14, 2024	Data PoisoningGenerative Adversarial Network	—Unverified	0
SAGMAN: Stability Analysis of Graph Neural Networks on the Manifolds	Feb 13, 2024	Dimensionality ReductionGraph Embedding	—Unverified	0
Implementation of Recommendation Algorithm based on Recommendation Sessions in E-commerce IT System	Feb 13, 2024	Recommendation Systems	—Unverified	0
Helping university students to choose elective courses by using a hybrid multi-criteria recommendation system with genetic optimization	Feb 13, 2024	Collaborative FilteringRecommendation Systems	—Unverified	0
Causal Learning for Trustworthy Recommender Systems: A Survey	Feb 13, 2024	Decision MakingFairness	—Unverified	0
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks	Feb 12, 2024	Collaborative FilteringRecommendation Systems	CodeCode Available	0
From Data to Decisions: The Transformational Power of Machine Learning in Business Recommendations	Feb 12, 2024	Decision MakingFeature Engineering	—Unverified	0
Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm	Feb 12, 2024	Food recommendationRecommendation Systems	—Unverified	0
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples	Feb 12, 2024	In-Context LearningQuestion Answering	CodeCode Available	1
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review	Feb 11, 2024	Decision MakingRecommendation Systems	—Unverified	0
Non-autoregressive Generative Models for Reranking Recommendation	Feb 10, 2024	Recommendation SystemsReranking	—Unverified	0
Collaborative filtering, K-nearest neighbor and cosine similarity in home decor recommender systems	Feb 9, 2024	Collaborative FilteringRecommendation Systems	—Unverified	0
EUGENE: Explainable Unsupervised Approximation of Graph Edit Distance with Generalized Edit Costs	Feb 8, 2024	Recommendation Systems	—Unverified	0
Transparent and Scrutable Recommendations Using Natural Language User Profiles	Feb 8, 2024	BenchmarkingDescriptive	CodeCode Available	0
CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation	Feb 8, 2024	Contrastive Learningcounterfactual	—Unverified	0
Hierarchical Tree-structured Knowledge Graph For Academic Insight Survey	Feb 7, 2024	Knowledge GraphsRecommendation Systems	CodeCode Available	0
RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation	Feb 7, 2024	Recommendation Systems	—Unverified	0
The Potential of AutoML for Recommender Systems	Feb 6, 2024	AutoMLMachine Translation	—Unverified	0
Reliability quality measures for recommender systems	Feb 6, 2024	Recommendation Systems	—Unverified	0
On Practical Diversified Recommendation with Controllable Category Diversity Framework	Feb 6, 2024	DiversityRecommendation Systems	CodeCode Available	0
ProactivePIM: Accelerating Weight-Sharing Embedding Layer with PIM for Scalable Recommendation System	Feb 6, 2024	CPURecommendation Systems	—Unverified	0
FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning	Feb 5, 2024	Recommendation Systems	—Unverified	0
Recommendation Fairness in Social Networks Over Time	Feb 5, 2024	counterfactualFairness	—Unverified	0
Harnessing PubMed User Query Logs for Post Hoc Explanations of Recommended Similar Articles	Feb 5, 2024	ArticlesRecommendation Systems	—Unverified	0
Event-based Product Carousel Recommendation with Query-Click Graph	Feb 5, 2024	Recommendation Systems	—Unverified	0
Intersectional Two-sided Fairness in Recommendation	Feb 5, 2024	FairnessRecommendation Systems	CodeCode Available	0
Trinity: Syncretizing Multi-/Long-tail/Long-term Interests All in One	Feb 5, 2024	AllRecommendation Systems	—Unverified	0
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation	Feb 5, 2024	Model CompressionRecommendation Systems	—Unverified	0
Denoising Time Cycle Modeling for Recommendation	Feb 5, 2024	DenoisingRecommendation Systems	—Unverified	0
Large Language Model Distilling Medication Recommendation Model	Feb 5, 2024	Knowledge DistillationLanguage Modeling	CodeCode Available	1
Comparison of Topic Modelling Approaches in the Banking Context	Feb 5, 2024	Recommendation SystemsSentiment Analysis	—Unverified	0
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction	Feb 3, 2024	MarketingMulti-Armed Bandits	CodeCode Available	0
Position Paper: Why the Shooting in the Dark Method Dominates Recommender Systems Practice; A Call to Abandon Anti-Utopian Thinking	Feb 3, 2024	PositionRecommendation Systems	—Unverified	0
Diffusion Cross-domain Recommendation	Feb 3, 2024	Image GenerationRecommendation Systems	CodeCode Available	1
Preference Poisoning Attacks on Reward Model Learning	Feb 2, 2024	modelRecommendation Systems	—Unverified	0
A Multi-Agent Conversational Recommender System	Feb 2, 2024	Conversational RecommendationRecommendation Systems	—Unverified	0
RimiRec: Modeling Refined Multi-interest in Hierarchical Structure for Recommendation	Feb 2, 2024	Recommendation SystemsRetrieval	—Unverified	0
Empirical and Experimental Perspectives on Big Data in Recommendation Systems: A Comprehensive Survey	Feb 1, 2024	Recommendation Systems	—Unverified	0
CF4J: Collaborative Filtering for Java	Feb 1, 2024	Collaborative FilteringRecommendation Systems	CodeCode Available	2
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems	Feb 1, 2024	Neural Architecture SearchRecommendation Systems	—Unverified	0
Cumulative Distribution Function based General Temporal Point Processes	Feb 1, 2024	Information RetrievalPoint Processes	—Unverified	0
From PARIS to LE-PARIS: Toward Patent Response Automation with Recommender Systems and Collaborative Large Language Models	Feb 1, 2024	Language ModellingLarge Language Model	—Unverified	0
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems	Feb 1, 2024	Collaborative FilteringFairness	CodeCode Available	0
Heterophily-Aware Fair Recommendation using Graph Convolutional Networks	Jan 31, 2024	FairnessRecommendation Systems	CodeCode Available	0

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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