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 5151–5200 of 6047 papers

Title	Date	Tasks	Status	Hype
User-based collaborative filtering approach for content recommendation in OpenCourseWare platforms	Feb 27, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Saec: Similarity-Aware Embedding Compression in Recommendation Systems	Feb 26, 2019	ClusteringRecommendation Systems	—Unverified	0
Multi-Scale Quasi-RNN for Next Item Recommendation	Feb 26, 2019	Recommendation Systems	—Unverified	0
Interaction-aware Factorization Machines for Recommender Systems	Feb 26, 2019	Recommendation Systems	CodeCode Available	0
Session-based Social Recommendation via Dynamic Graph Attention Networks	Feb 25, 2019	Graph AttentionRecommendation Systems	CodeCode Available	2
Deep Bayesian Multi-Target Learning for Recommender Systems	Feb 25, 2019	Model SelectionRecommendation Systems	CodeCode Available	0
MIRA: A Computational Neuro-Based Cognitive Architecture Applied to Movie Recommender Systems	Feb 25, 2019	Movie RecommendationRecommendation Systems	CodeCode Available	0
Field-aware Neural Factorization Machine for Click-Through Rate Prediction	Feb 25, 2019	Click-Through Rate PredictionFeature Engineering	—Unverified	0
Scalable Hyperbolic Recommender Systems	Feb 22, 2019	Recommendation Systems	—Unverified	0
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks	Feb 21, 2019	Recommendation Systems	CodeCode Available	0
Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender Systems	Feb 21, 2019	Recommendation Systems	—Unverified	0
Graph Neural Networks for Social Recommendation	Feb 19, 2019	Graph Neural NetworkRecommendation Systems	CodeCode Available	0
Joint Optimization of Tree-based Index and Deep Model for Recommender Systems	Feb 19, 2019	PredictionRecommendation Systems	—Unverified	0
Bayesian Exploration with Heterogeneous Agents	Feb 19, 2019	Recommendation Systems	—Unverified	0
Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences	Feb 17, 2019	Graph LearningKnowledge Graph Completion	CodeCode Available	0
Collaborative Similarity Embedding for Recommender Systems	Feb 17, 2019	Graph LearningRecommendation Systems	CodeCode Available	0
Interest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation	Feb 13, 2019	Recommendation Systems	—Unverified	0
A Survey on Session-based Recommender Systems	Feb 13, 2019	Collaborative FilteringDecision Making	CodeCode Available	1
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems	Feb 13, 2019	Recommendation Systemsreinforcement-learning	—Unverified	0
A Long-Short Demands-Aware Model for Next-Item Recommendation	Feb 12, 2019	Recommendation Systems	—Unverified	0
Whole-Chain Recommendations	Feb 11, 2019	Multi-agent Reinforcement LearningRecommendation Systems	—Unverified	0
Context-Aware Visual Compatibility Prediction	Feb 10, 2019	Graph Neural NetworkMetric Learning	CodeCode Available	0
Link Prediction via Higher-Order Motif Features	Feb 8, 2019	General ClassificationLink Prediction	CodeCode Available	0
A Network-centric Framework for Auditing Recommendation Systems	Feb 7, 2019	Recommendation Systems	—Unverified	0
The few-get-richer: a surprising consequence of popularity-based rankings	Feb 7, 2019	MisinformationRecommendation Systems	—Unverified	0
Should I Follow the Crowd? A Probabilistic Analysis of the Effectiveness of Popularity in Recommender Systems	Feb 6, 2019	Recommendation Systems	—Unverified	0
Recommender Systems Notation: Proposed Common Notation for Teaching and Research	Feb 4, 2019	Information RetrievalRecommendation Systems	—Unverified	0
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems	Feb 3, 2019	Recommendation Systemsreinforcement-learning	—Unverified	0
RELINE: Point-of-Interest Recommendations using Multiple Network Embeddings	Feb 2, 2019	Recommendation Systems	CodeCode Available	0
Sequential Evaluation and Generation Framework for Combinatorial Recommender System	Feb 1, 2019	Recommendation SystemsReinforcement Learning	CodeCode Available	0
Contextual Multi-armed Bandit Algorithm for Semiparametric Reward Model	Jan 31, 2019	Recommendation SystemsThompson Sampling	—Unverified	0
Learning Triggers for Heterogeneous Treatment Effects	Jan 31, 2019	Heterogeneous Treatment Effect EstimationRecommendation Systems	CodeCode Available	0
Geometric Matrix Completion with Deep Conditional Random Fields	Jan 29, 2019	Matrix CompletionRecommendation Systems	—Unverified	0
Securing Tag-based recommender systems against profile injection attacks: A comparative study. (Extended Report)	Jan 24, 2019	Deep LearningRecommendation Systems	—Unverified	0
Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation	Jan 23, 2019	Collaborative FilteringGraph Embedding	CodeCode Available	0
Scalable Realistic Recommendation Datasets through Fractal Expansions	Jan 23, 2019	Recommendation Systems	CodeCode Available	2
Constant Time Graph Neural Networks	Jan 23, 2019	Graph AttentionQuestion Answering	—Unverified	0
AspeRa: Aspect-based Rating Prediction Model	Jan 23, 2019	modelPrediction	—Unverified	0
PD-ML-Lite: Private Distributed Machine Learning from Lighweight Cryptography	Jan 23, 2019	BIG-bench Machine LearningRecommendation Systems	—Unverified	0
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking	Jan 22, 2019	Recommendation SystemsRe-Ranking	—Unverified	0
Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text	Jan 22, 2019	Collaborative FilteringMovie Recommendation	—Unverified	0
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets	Jan 21, 2019	Recommendation SystemsRepresentation Learning	—Unverified	0
Learning Vertex Representations for Bipartite Networks	Jan 16, 2019	Collaborative FilteringKnowledge Graphs	CodeCode Available	0
DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System	Jan 15, 2019	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Hybrid Recommender Systems: A Systematic Literature Review	Jan 12, 2019	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Retrieving Similar E-Commerce Images Using Deep Learning	Jan 11, 2019	Deep LearningFine-Grained Visual Recognition	CodeCode Available	0
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation	Jan 1, 2019	Language ModelingLanguage Modelling	CodeCode Available	0
A Neural Network Based Explainable Recommender System	Dec 31, 2018	Collaborative FilteringFeature Engineering	—Unverified	0
Towards Finding Non-obvious Papers: An Analysis of Citation Recommender Systems	Dec 29, 2018	Citation RecommendationRecommendation Systems	—Unverified	0
Loss Aversion in Recommender Systems: Utilizing Negative User Preference to Improve Recommendation Quality	Dec 29, 2018	Link PredictionRecommendation Systems	—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