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 5051–5100 of 6047 papers

Title	Date	Tasks	Status	Hype
Compositional Fairness Constraints for Graph Embeddings	May 25, 2019	FairnessGraph Embedding	CodeCode Available	0
Content based News Recommendation via Shortest Entity Distance over Knowledge Graphs	May 24, 2019	ArticlesKnowledge Graphs	CodeCode Available	0
Learning Cross-Domain Representation with Multi-Graph Neural Network	May 24, 2019	Graph EmbeddingGraph Neural Network	—Unverified	0
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing	May 24, 2019	Edge-computingRecommendation Systems	—Unverified	0
Deep learning based mood tagging for Chinese song lyrics	May 23, 2019	BIG-bench Machine LearningDeep Learning	—Unverified	0
FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction	May 23, 2019	Click-Through Rate PredictionFeature Importance	CodeCode Available	1
Evaluating recommender systems for AI-driven biomedical informatics	May 22, 2019	AI AgentBIG-bench Machine Learning	CodeCode Available	0
Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction	May 22, 2019	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	0
A Scalable Hybrid Research Paper Recommender System for Microsoft Academic	May 21, 2019	Recommendation Systems	CodeCode Available	0
Recommendation from Raw Data with Adaptive Compound Poisson Factorization	May 20, 2019	BinarizationRecommendation Systems	CodeCode Available	0
KGAT: Knowledge Graph Attention Network for Recommendation	May 20, 2019	Explainable RecommendationGraph Neural Network	CodeCode Available	1
Neural Graph Collaborative Filtering	May 20, 2019	Collaborative FilteringLink Prediction	CodeCode Available	1
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation	May 19, 2019	Recommendation SystemsSequential Recommendation	CodeCode Available	0
Interpretable Robust Recommender Systems with Side Information	May 16, 2019	Recommendation Systemsregression	—Unverified	0
Data Poisoning Attacks on Stochastic Bandits	May 16, 2019	Data PoisoningMulti-Armed Bandits	—Unverified	0
Deep Session Interest Network for Click-Through Rate Prediction	May 16, 2019	Click-Through Rate PredictionDeep Learning	CodeCode Available	0
Recent Advances in Diversified Recommendation	May 16, 2019	DiversityRecommendation Systems	—Unverified	0
Fiduciary Bandits	May 16, 2019	Recommendation Systems	—Unverified	0
Behavior Sequence Transformer for E-commerce Recommendation in Alibaba	May 15, 2019	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	2
User profiles matching for different social networks based on faces embeddings	May 15, 2019	Recommendation Systems	—Unverified	0
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine	May 15, 2019	Click-Through Rate PredictionFeature Importance	CodeCode Available	0
Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems	May 14, 2019	Collaborative FilteringRecommendation Systems	—Unverified	0
Modeling the Dynamics of User Preferences for Sequence-Aware Recommendation Using Hidden Markov Models	May 14, 2019	Change DetectionRecommendation Systems	—Unverified	0
Stability Properties of Graph Neural Networks	May 11, 2019	Motion PlanningRecommendation Systems	—Unverified	0
PrivateJobMatch: A Privacy-Oriented Deferred Multi-Match Recommender System for Stable Employment	May 11, 2019	Recommendation Systems	CodeCode Available	0
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems	May 11, 2019	Feature EngineeringGraph Neural Network	CodeCode Available	0
Recommending Dream Jobs in a Biased Real World	May 10, 2019	BIG-bench Machine LearningRecommendation Systems	—Unverified	0
Active embedding search via noisy paired comparisons	May 10, 2019	Recommendation Systems	CodeCode Available	0
Compositional Coding for Collaborative Filtering	May 9, 2019	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Embarrassingly Shallow Autoencoders for Sparse Data	May 8, 2019	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Lessons from Contextual Bandit Learning in a Customer Support Bot	May 6, 2019	Information RetrievalMulti-Armed Bandits	—Unverified	0
A general graph-based framework for top-N recommendation using content, temporal and trust information	May 6, 2019	Recommendation Systems	CodeCode Available	0
New Item Consumption Prediction Using Deep Learning	May 5, 2019	Deep LearningPrediction	—Unverified	0
Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization	May 4, 2019	Collaborative FilteringMovie Recommendation	—Unverified	0
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems	May 4, 2019	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Latent Unexpected and Useful Recommendation	May 4, 2019	Recommendation Systems	CodeCode Available	0
Tight Regret Bounds for Infinite-armed Linear Contextual Bandits	May 4, 2019	Decision MakingMulti-Armed Bandits	—Unverified	0
A Personalized Subreddit Recommendation Engine	May 3, 2019	Recommendation Systems	CodeCode Available	0
Spectrum-enhanced Pairwise Learning to Rank	May 2, 2019	Learning-To-RankMissing Values	—Unverified	0
Variational Autoencoders for Sparse and Overdispersed Discrete Data	May 2, 2019	Collaborative FilteringMulti-Label Learning	CodeCode Available	0
Visually-aware Recommendation with Aesthetic Features	May 2, 2019	Decision MakingRecommendation Systems	—Unverified	0
Signed Distance-based Deep Memory Recommender	May 1, 2019	Recommendation Systems	CodeCode Available	0
Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model	May 1, 2019	ClusteringCollaborative Filtering	—Unverified	0
Beyond Personalization: Research Directions in Multistakeholder Recommendation	May 1, 2019	FairnessRecommendation Systems	—Unverified	0
Purchase as Reward : Session-based Recommendation by Imagination Reconstruction	May 1, 2019	Recommendation SystemsSession-Based Recommendations	—Unverified	0
Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations	Apr 30, 2019	Deep LearningRecommendation Systems	CodeCode Available	1
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search	Apr 30, 2019	FairnessRecommendation Systems	—Unverified	0
On the Use of ArXiv as a Dataset	Apr 30, 2019	ArticlesAuthor Attribution	CodeCode Available	0
Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation	Apr 29, 2019	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Inductive Matrix Completion Based on Graph Neural Networks	Apr 26, 2019	Graph Neural NetworkMatrix Completion	CodeCode Available	1

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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