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 4301–4350 of 6047 papers

Title	Date	Tasks	Status	Hype
A Light Heterogeneous Graph Collaborative Filtering Model using Textual Information	Oct 4, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Fairness in Machine Learning: A Survey	Oct 4, 2020	BIG-bench Machine LearningBinary Classification	—Unverified	0
Hit ratio: An Evaluation Metric for Hashtag Recommendation	Oct 3, 2020	Recommendation Systems	—Unverified	0
Multi-Step Adversarial Perturbations on Recommender Systems Embeddings	Oct 3, 2020	Recommendation Systems	—Unverified	0
Overcoming Data Sparsity in Group Recommendation	Oct 2, 2020	Decision MakingGraph Embedding	—Unverified	0
An Empirical Study of DNNs Robustification Inefficacy in Protecting Visual Recommenders	Oct 2, 2020	Recommendation Systems	—Unverified	0
Predicting User Engagement Status for Online Evaluation of Intelligent Assistants	Oct 1, 2020	Recommendation Systems	—Unverified	0
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases	Oct 1, 2020	Recommendation Systems	CodeCode Available	0
MARS-Gym: A Gym framework to model, train, and evaluate Recommender Systems for Marketplaces	Sep 30, 2020	FairnessRecommendation Systems	CodeCode Available	1
User-item matching for recommendation fairness	Sep 30, 2020	Exposure FairnessFairness	—Unverified	0
Point-of-Interest Type Inference from Social Media Text	Sep 30, 2020	Recommendation SystemsVocal Bursts Type Prediction	—Unverified	0
One Person, One Model, One World: Learning Continual User Representation without Forgetting	Sep 29, 2020	Recommendation Systems	CodeCode Available	1
Jointly-Trained State-Action Embedding for Efficient Reinforcement Learning	Sep 28, 2020	Model-based Reinforcement LearningRecommendation Systems	—Unverified	0
Multi-Relational Embedding for Knowledge Graph Representation and Analysis	Sep 28, 2020	Computational EfficiencyGraph Embedding	CodeCode Available	1
Position-Based Multiple-Play Bandits with Thompson Sampling	Sep 28, 2020	PositionRecommendation Systems	—Unverified	0
Information Obfuscation of Graph Neural Networks	Sep 28, 2020	Adversarial DefenseGraph Representation Learning	CodeCode Available	1
Learning from eXtreme Bandit Feedback	Sep 27, 2020	Extreme Multi-Label ClassificationMulti-Label Classification	—Unverified	0
Simultaneous Relevance and Diversity: A New Recommendation Inference Approach	Sep 27, 2020	Collaborative FilteringDiversity	—Unverified	0
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering	Sep 26, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
Learning Representations of Hierarchical Slates in Collaborative Filtering	Sep 25, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
Investigating Misinformation in Online Marketplaces: An Audit Study on Amazon	Sep 25, 2020	MisinformationRecommendation Systems	—Unverified	0
On the Problem of Underranking in Group-Fair Ranking	Sep 24, 2020	FairnessLearning-To-Rank	CodeCode Available	0
Tuning Word2vec for Large Scale Recommendation Systems	Sep 24, 2020	Hyperparameter OptimizationRecommendation Systems	—Unverified	0
A Comparative Study of Feature Types for Age-Based Text Classification	Sep 24, 2020	General ClassificationInformation Retrieval	CodeCode Available	0
Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques	Sep 24, 2020	Recommendation SystemsSentiment Analysis	—Unverified	0
Hotel Recommendation System Based on User Profiles and Collaborative Filtering	Sep 21, 2020	Collaborative FilteringDecision Making	—Unverified	0
Bandits Under The Influence (Extended Version)	Sep 21, 2020	Recommendation SystemsThompson Sampling	—Unverified	0
div2vec: Diversity-Emphasized Node Embedding	Sep 21, 2020	DiversityGraph Representation Learning	—Unverified	0
A Deep Hybrid Model for Recommendation Systems	Sep 21, 2020	Collaborative FilteringDeep Learning	—Unverified	0
Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective	Sep 20, 2020	Decision MakingDeep Learning	CodeCode Available	1
UniNet: Next Term Course Recommendation using Deep Learning	Sep 20, 2020	Collaborative FilteringDeep Learning	CodeCode Available	0
Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect	Sep 19, 2020	Recommendation SystemsTransfer Learning	—Unverified	0
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context	Sep 19, 2020	Recommendation Systems	—Unverified	0
On Multi-Session Website Fingerprinting over TLS Handshake	Sep 19, 2020	Anomaly DetectionRecommendation Systems	—Unverified	0
Cross-Modal Alignment with Mixture Experts Neural Network for Intral-City Retail Recommendation	Sep 17, 2020	cross-modal alignmentImage to text	—Unverified	0
Planting trees at the right places: Recommending suitable sites for growing trees using algorithm fusion	Sep 17, 2020	Recommendation Systems	—Unverified	0
Arabic Opinion Mining Using a Hybrid Recommender System Approach	Sep 16, 2020	Opinion MiningRecommendation Systems	—Unverified	0
Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users' Feedback	Sep 16, 2020	Multi-Armed BanditsRecommendation Systems	—Unverified	0
Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations	Sep 15, 2020	Ensemble LearningRecommendation Systems	—Unverified	0
Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation	Sep 15, 2020	Recommendation Systems	CodeCode Available	1
Graph-Adaptive Activation Functions for Graph Neural Networks	Sep 14, 2020	Recommendation Systems	CodeCode Available	0
Double-Wing Mixture of Experts for Streaming Recommendations	Sep 14, 2020	Ensemble LearningMixture-of-Experts	—Unverified	0
A Deep Framework for Cross-Domain and Cross-System Recommendations	Sep 14, 2020	Recommendation Systems	CodeCode Available	1
Field-Embedded Factorization Machines for Click-through rate prediction	Sep 13, 2020	Click-Through Rate PredictionPrediction	CodeCode Available	0
Spoiled for Choice? Personalized Recommendation for Healthcare Decisions: A Multi-Armed Bandit Approach	Sep 13, 2020	DiversityFeature Engineering	—Unverified	0
BARS-CTR: Open Benchmarking for Click-Through Rate Prediction	Sep 12, 2020	BenchmarkingClick-Through Rate Prediction	CodeCode Available	1
A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section	Sep 11, 2020	ArticlesCitation Recommendation	—Unverified	0
Content Based Player and Game Interaction Model for Game Recommendation in the Cold Start setting	Sep 11, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
CatGCN: Graph Convolutional Networks with Categorical Node Features	Sep 11, 2020	Graph LearningNode Classification	CodeCode Available	0
News Recommender System: A review of recent progress, challenges, and opportunities	Sep 10, 2020	ArticlesNews Recommendation	—Unverified	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