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 4851–4900 of 6047 papers

Title	Date	Tasks	Status	Hype
The Power of Communities: A Text Classification Model with Automated Labeling Process Using Network Community Detection	Sep 25, 2019	ArticlesClassification	—Unverified	0
Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems	Sep 25, 2019	Click-Through Rate PredictionCollaborative Filtering	CodeCode Available	0
Neighborhood-Enhanced and Time-Aware Model for Session-based Recommendation	Sep 25, 2019	Recommendation SystemsSession-Based Recommendations	—Unverified	0
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit	Sep 25, 2019	Recommendation Systems	—Unverified	0
Quantitative analysis of Matthew effect and sparsity problem of recommender systems	Sep 24, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Posture and sequence recognition for Bharatanatyam dance performances using machine learning approach	Sep 24, 2019	BIG-bench Machine LearningRecommendation Systems	—Unverified	0
Natural Language Processing via LDA Topic Model in Recommendation Systems	Sep 20, 2019	ArticlesCollaborative Filtering	—Unverified	0
Research Commentary on Recommendations with Side Information: A Survey and Research Directions	Sep 19, 2019	Knowledge GraphsRecommendation Systems	—Unverified	0
On-Device User Intent Prediction for Context and Sequence Aware Recommendation	Sep 18, 2019	Recommendation Systems	—Unverified	0
Large e-retailer image dataset for visual search and product classification	Sep 18, 2019	General Classificationimage-classification	—Unverified	0
BPMR: Bayesian Probabilistic Multivariate Ranking	Sep 18, 2019	Recommendation Systems	—Unverified	0
Learning from Bandit Feedback: An Overview of the State-of-the-art	Sep 18, 2019	counterfactualRecommendation Systems	—Unverified	0
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space	Sep 17, 2019	Graph EmbeddingKnowledge Graph Completion	CodeCode Available	1
Ranking metrics on non-shuffled traffic	Sep 17, 2019	PositionRecommendation Systems	—Unverified	0
Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions	Sep 17, 2019	Food recommendationRecommendation Systems	CodeCode Available	0
Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations	Sep 16, 2019	Recommendation SystemsRetrieval	CodeCode Available	0
Attribute-aware non-linear co-embeddings of graph features	Sep 16, 2019	AttributeRecommendation Systems	CodeCode Available	0
Movie Recommender Systems: Implementation and Performance Evaluation	Sep 16, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Cross-domain recommender system using Generalized Canonical Correlation Analysis	Sep 15, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Deep Collaborative Filtering with Multi-Aspect Information in Heterogeneous Networks	Sep 14, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Crank up the volume: preference bias amplification in collaborative recommendation	Sep 13, 2019	Recommendation Systems	—Unverified	0
Towards Sharing Task Environments to Support Reproducible Evaluations of Interactive Recommender Systems	Sep 13, 2019	Recommendation Systems	—Unverified	0
How robust is MovieLens? A dataset analysis for recommender systems	Sep 12, 2019	Recommendation Systems	—Unverified	0
Candidate Generation with Binary Codes for Large-Scale Top-N Recommendation	Sep 12, 2019	Recommendation SystemsRe-Ranking	—Unverified	0
Time-weighted Attentional Session-Aware Recommender System	Sep 12, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Reinforcement Learning Models of Human Behavior: Reward Processing in Mental Disorders	Sep 11, 2019	Decision MakingQ-Learning	—Unverified	0
RecSim: A Configurable Simulation Platform for Recommender Systems	Sep 11, 2019	Interactive RecommendationRecommendation Systems	CodeCode Available	0
How to make latent factors interpretable by feeding Factorization machines with knowledge graphs	Sep 11, 2019	InformativenessKnowledge Graphs	CodeCode Available	0
Distributed Equivalent Substitution Training for Large-Scale Recommender Systems	Sep 10, 2019	Recommendation Systems	—Unverified	0
PMD: An Optimal Transportation-based User Distance for Recommender Systems	Sep 10, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems	Sep 9, 2019	ArticlesDeep Reinforcement Learning	—Unverified	0
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback	Sep 9, 2019	Causal InferenceRecommendation Systems	CodeCode Available	0
Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue	Sep 9, 2019	Recommendation Systems	—Unverified	0
Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks	Sep 9, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Deep Context-Aware Recommender System Utilizing Sequential Latent Context	Sep 9, 2019	Collaborative FilteringDecoder	—Unverified	0
Toward a Knowledge-based Personalised Recommender System for Mobile App Development	Sep 9, 2019	Recommendation Systems	—Unverified	0
Asymmetric Tri-training for Debiasing Missing-Not-At-Random Explicit Feedback	Sep 8, 2019	Domain AdaptationMeta-Learning	CodeCode Available	0
Generating Reliable Friends via Adversarial Training to Improve Social Recommendation	Sep 8, 2019	Recommendation Systems	—Unverified	0
AutoML for Contextual Bandits	Sep 7, 2019	AutoMLFeature Engineering	—Unverified	0
Assessing Fashion Recommendations: A Multifaceted Offline Evaluation Approach	Sep 5, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
An Arm-Wise Randomization Approach to Combinatorial Linear Semi-Bandits	Sep 5, 2019	Decision MakingRecommendation Systems	—Unverified	0
Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems	Sep 4, 2019	DiversityRecommendation Systems	CodeCode Available	0
A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation	Sep 4, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Cross-Cutting Political Awareness through Diverse News Recommendations	Sep 3, 2019	DiversityRecommendation Systems	—Unverified	0
All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation	Sep 2, 2019	AllClustering	—Unverified	0
Overview on NLP Techniques for Content-based Recommender Systems for Books	Sep 1, 2019	Recommendation Systems	—Unverified	0
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System	Sep 1, 2019	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features	Aug 29, 2019	Recommendation Systems	—Unverified	0
Analyzing Customer Feedback for Product Fit Prediction	Aug 28, 2019	PredictionRecommendation Systems	—Unverified	0
How big can style be? Addressing high dimensionality for recommending with style	Aug 28, 2019	Recommendation 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