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 3651–3700 of 6047 papers

Title	Date	Tasks	Status	Hype
Towards Explainable Scientific Venue Recommendations	Sep 21, 2021	Recommendation SystemsTopic Models	—Unverified	0
Learning through structure: towards deep neuromorphic knowledge graph embeddings	Sep 21, 2021	Graph EmbeddingGraph Learning	CodeCode Available	1
Recommender systems based on graph embedding techniques: A comprehensive review	Sep 20, 2021	Graph EmbeddingKnowledge Graphs	CodeCode Available	0
Deviation-Based Learning: Training Recommender Systems Using Informed User Choice	Sep 20, 2021	Recommendation Systems	CodeCode Available	0
Augmenting the User-Item Graph with Textual Similarity Models	Sep 20, 2021	Data AugmentationRecommendation Systems	CodeCode Available	1
Augmenting semantic lexicons using word embeddings and transfer learning	Sep 18, 2021	Recommendation SystemsTransfer Learning	CodeCode Available	0
Inductive Conformal Recommender System	Sep 18, 2021	Recommendation Systems	—Unverified	0
A Comprehensive Overview of Recommender System and Sentiment Analysis	Sep 18, 2021	Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)	—Unverified	0
Accelerating Offline Reinforcement Learning Application in Real-Time Bidding and Recommendation: Potential Use of Simulation	Sep 17, 2021	Decision MakingOffline RL	—Unverified	0
Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service	Sep 17, 2021	Decision MakingMarketing	—Unverified	0
Semi-Supervised Visual Representation Learning for Fashion Compatibility	Sep 16, 2021	Fashion UnderstandingProduct Recommendation	—Unverified	0
Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation	Sep 16, 2021	Recommendation Systems	—Unverified	0
Membership Inference Attacks Against Recommender Systems	Sep 16, 2021	Recommendation Systems	CodeCode Available	1
A Qualitative Evaluation of User Preference for Link-based vs. Text-based Recommendations of Wikipedia Articles	Sep 16, 2021	ArticlesRecommendation Systems	CodeCode Available	0
"It doesn't look good for a date": Transforming Critiques into Preferences for Conversational Recommendation Systems	Sep 15, 2021	Common Sense ReasoningConversational Recommendation	CodeCode Available	0
Co-Embedding: Discovering Communities on Bipartite Graphs through Projection	Sep 15, 2021	Information RetrievalRecommendation Systems	—Unverified	0
Information Cocoons in Online Navigation	Sep 14, 2021	Recommendation SystemsRetrieval	—Unverified	0
Position Paper on Simulating Privacy Dynamics in Recommender Systems	Sep 14, 2021	PositionRecommendation Systems	—Unverified	0
Simulations in Recommender Systems: An industry perspective	Sep 14, 2021	Recommendation Systems	—Unverified	0
A system for information extraction from scientific texts in Russian	Sep 14, 2021	Information RetrievalRecommendation Systems	—Unverified	0
IGNNITION: Bridging the Gap Between Graph Neural Networks and Networking Systems	Sep 14, 2021	Recommendation Systems	—Unverified	0
Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse	Sep 14, 2021	Information RetrievalRecommendation Systems	—Unverified	0
ARGO: Modeling Heterogeneity in E-commerce Recommendation	Sep 13, 2021	Recommendation Systems	—Unverified	0
Graph Algorithms for Multiparallel Word Alignment	Sep 13, 2021	Link PredictionMachine Translation	CodeCode Available	1
An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System	Sep 13, 2021	Recommendation Systems	—Unverified	0
FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation	Sep 13, 2021	FairnessRecommendation Systems	—Unverified	0
Region Invariant Normalizing Flows for Mobility Transfer	Sep 13, 2021	PredictionRecommendation Systems	CodeCode Available	0
Correcting the User Feedback-Loop Bias for Recommendation Systems	Sep 13, 2021	Recommendation SystemsSelection bias	—Unverified	0
An Improved Hybrid Recommender System: Integrating Document Context-Based and Behavior-Based Methods	Sep 12, 2021	Collaborative FilteringRecommendation Systems	—Unverified	0
On the Fundamental Limits of Matrix Completion: Leveraging Hierarchical Similarity Graphs	Sep 12, 2021	Matrix CompletionRecommendation Systems	—Unverified	0
Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving	Sep 11, 2021	News GenerationNews Recommendation	—Unverified	0
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation	Sep 11, 2021	counterfactualRecommendation Systems	—Unverified	0
Existence conditions for hidden feedback loops in online recommender systems	Sep 11, 2021	Recommendation Systems	CodeCode Available	0
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning	Sep 10, 2021	ArticlesImitation Learning	CodeCode Available	0
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems	Sep 9, 2021	Recommendation Systems	—Unverified	0
User Tampering in Reinforcement Learning Recommender Systems	Sep 9, 2021	Q-LearningRecommendation Systems	—Unverified	0
AppQ: Warm-starting App Recommendation Based on View Graphs	Sep 8, 2021	Recommendation Systems	—Unverified	0
Dual Correction Strategy for Ranking Distillation in Top-N Recommender System	Sep 8, 2021	Knowledge DistillationRecommendation Systems	CodeCode Available	0
A Survey of Deep Reinforcement Learning in Recommender Systems: A Systematic Review and Future Directions	Sep 8, 2021	Deep Reinforcement LearningRecommendation Systems	—Unverified	0
Follow the guides: disentangling human and algorithmic curation in online music consumption	Sep 8, 2021	DiversityRecommendation Systems	—Unverified	0
Matrix Completion of World Trade	Sep 8, 2021	Matrix CompletionRecommendation Systems	—Unverified	0
Hyper Meta-Path Contrastive Learning for Multi-Behavior Recommendation	Sep 7, 2021	Contrastive LearningMulti-Task Learning	—Unverified	0
Persuasion and Welfare	Sep 7, 2021	Recommendation Systems	—Unverified	0
Towards Retrieval-based Conversational Recommendation	Sep 6, 2021	Conversational RecommendationRecommendation Systems	CodeCode Available	0
Fairness via AI: Bias Reduction in Medical Information	Sep 6, 2021	Bias DetectionFairness	—Unverified	0
Recommendation Fairness: From Static to Dynamic	Sep 5, 2021	FairnessRecommendation Systems	—Unverified	0
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation	Sep 5, 2021	Click-Through Rate PredictionKnowledge-Aware Recommendation	—Unverified	0
Global-Local Item Embedding for Temporal Set Prediction	Sep 5, 2021	DecoderPrediction	—Unverified	0
PEEK: A Large Dataset of Learner Engagement with Educational Videos	Sep 3, 2021	Recommendation Systems	—Unverified	0
Top-N Recommendation with Counterfactual User Preference Simulation	Sep 2, 2021	Causal Inferencecounterfactual	—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