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
A Provably Efficient Algorithm for Linear Markov Decision Process with Low Switching Cost	Jan 2, 2021	4kRecommendation Systems	—Unverified
DeepLTRS: A Deep Latent Recommender System based on User Ratings and Reviews	Jan 1, 2021	Recommendation Systems	—Unverified
Interpretable Relational Representations for Food Ingredient Recommendation Systems	Jan 1, 2021	Recommendation Systems	—Unverified
Recurrent Exploration Networks for Recommender Systems	Jan 1, 2021	Recommendation SystemsRepresentation Learning	—Unverified
Multi-Faceted Trust Based Recommendation System	Jan 1, 2021	Collaborative FilteringRecommendation Systems	—Unverified
Deep Q-Learning with Low Switching Cost	Jan 1, 2021	Atari GamesDeep Reinforcement Learning	—Unverified
UMEC: Unified model and embedding compression for efficient recommendation systems	Jan 1, 2021	Efficient Neural Networkfeature selection	—Unverified
Offline Adaptive Policy Leaning in Real-World Sequential Recommendation Systems	Jan 1, 2021	Recommendation SystemsSequential Recommendation	—Unverified
Mixed-Features Vectors and Subspace Splitting	Jan 1, 2021	ClusteringDictionary Learning	—Unverified
Matrix Data Deep Decoder - Geometric Learning for Structured Data Completion	Jan 1, 2021	DecoderGraph Neural Network	—Unverified
RETHINKING LOCAL LOW RANK MATRIX DETECTION:A MULTIPLE-FILTER BASED NEURAL NETWORK FRAMEWORK	Jan 1, 2021	Recommendation Systems	—Unverified
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training	Jan 1, 2021	Efficient Neural NetworkLanguage Modeling	—Unverified
SEMANTIC APPROACH TO AGENT ROUTING USING A HYBRID ATTRIBUTE-BASED RECOMMENDER SYSTEM	Jan 1, 2021	AttributeManagement	—Unverified
Collaborative Filtering with Smooth Reconstruction of the Preference Function	Jan 1, 2021	Collaborative FilteringQuantization	—Unverified
Combinatorial Pure Exploration with Full-bandit Feedback and Beyond: Solving Combinatorial Optimization under Uncertainty with Limited Observation	Dec 31, 2020	Combinatorial OptimizationMulti-Armed Bandits	—Unverified
Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering	Dec 30, 2020	ClusteringMeta-Learning	—Unverified
Hybrid Interest Modeling for Long-tailed Users	Dec 29, 2020	ClusteringRecommendation Systems	—Unverified
Learning Adversarial Markov Decision Processes with Delayed Feedback	Dec 29, 2020	Recommendation Systems	—Unverified
A Hybrid Bandit Framework for Diversified Recommendation	Dec 24, 2020	DiversityInteractive Recommendation	—Unverified
Intelligent Vector-based Customer Segmentation in the Banking Industry	Dec 22, 2020	ClusteringFeature Engineering	—Unverified
New Recommendation Algorithm for Implicit Data Motivated by the Multivariate Normal Distribution	Dec 21, 2020	Recommendation Systems	—Unverified
Reinforcement Learning-based Product Delivery Frequency Control	Dec 20, 2020	CPURecommendation Systems	—Unverified
Towards Fair Personalization by Avoiding Feedback Loops	Dec 20, 2020	Recommendation Systems	—Unverified
eTREE: Learning Tree-structured Embeddings	Dec 20, 2020	Recommendation Systems	CodeCode Available
Recommenders with a mission: assessing diversity in newsrecommendations	Dec 18, 2020	DiversityMisinformation	—Unverified
Adaptive Multi-Agent E-Learning Recommender Systems	Dec 17, 2020	Recommendation SystemsRetrieval	—Unverified
Causality-Aware Neighborhood Methods for Recommender Systems	Dec 17, 2020	Causal InferenceRecommendation Systems	—Unverified
Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce	Dec 16, 2020	Cultural Vocal Bursts Intensity PredictionRecommendation Systems	—Unverified
An Embedding Learning Framework for Numerical Features in CTR Prediction	Dec 16, 2020	Click-Through Rate PredictionFeature Engineering	CodeCode Available
Explainable Recommendation Systems by Generalized Additive Models with Manifest and Latent Interactions	Dec 15, 2020	Additive modelsCollaborative Filtering	—Unverified
FedeRank: User Controlled Feedback with Federated Recommender Systems	Dec 15, 2020	DiversityFederated Learning	—Unverified
Learning over no-Preferred and Preferred Sequence of items for Robust Recommendation	Dec 12, 2020	Recommendation Systems	CodeCode Available
GAN-based Recommendation with Positive-Unlabeled Sampling	Dec 12, 2020	Generative Adversarial NetworkInformation Retrieval	—Unverified
Garment Recommendation with Memory Augmented Neural Networks	Dec 11, 2020	Recommendation Systems	—Unverified
Recurrent Point Review Models	Dec 10, 2020	Recommendation Systems	CodeCode Available
A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation	Dec 9, 2020	PredictionRecommendation Systems	CodeCode Available
Interactive Search Based on Deep Reinforcement Learning	Dec 9, 2020	ClusteringDecision Making	—Unverified
TADO: Time-varying Attention with Dual-Optimizer Model	Dec 8, 2020	Recommendation Systems	CodeCode Available
Nonnegative Matrix Factorization with Zellner Penalty	Dec 7, 2020	Recommendation Systems	—Unverified
KATRec: Knowledge Aware aTtentive Sequential Recommendations	Dec 6, 2020	Graph AttentionRecommendation Systems	CodeCode Available
Research Progress of News Recommendation Methods	Dec 4, 2020	Collaborative FilteringKnowledge Graphs	—Unverified
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation	Dec 4, 2020	Model-based Reinforcement LearningRecommendation Systems	—Unverified
On Detecting Data Pollution Attacks On Recommender Systems Using Sequential GANs	Dec 4, 2020	Generative Adversarial NetworkRecommendation Systems	—Unverified
Unify Local and Global Information for Top-N Recommendation	Dec 3, 2020	Graph EmbeddingKnowledge Graph Embedding	CodeCode Available
FAST: A Fairness Assured Service Recommendation Strategy Considering Service Capacity Constraint	Dec 2, 2020	FairnessRecommendation Systems	—Unverified
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering	Dec 2, 2020	AttributeBIG-bench Machine Learning	—Unverified
A Multi-modal Personality Prediction System	Dec 1, 2020	Personality Trait Recognition by FacePrediction	—Unverified
Fair Multi-Stakeholder News Recommender System with Hypergraph ranking	Dec 1, 2020	Collaborative FilteringRecommendation Systems	—Unverified
Dynamic Submodular Maximization	Dec 1, 2020	ClusteringCombinatorial Optimization	—Unverified
Geolocation of Tweets with a BiLSTM Regression Model	Dec 1, 2020	modelRecommendation Systems	—Unverified

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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