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 4651–4700 of 6047 papers

Title	Date	Tasks	Status
FGCRec: Fine-Grained Geographical Characteristics Modeling for Point-of-Interest Recommendation	Jun 7, 2020	Recommendation Systems	CodeCode Available
Equality of Learning Opportunity via Individual Fairness in Personalized Recommendations	Jun 7, 2020	EthicsFairness	—Unverified
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems	Jun 7, 2020	AttributeFairness	—Unverified
From Federated to Fog Learning: Distributed Machine Learning over Heterogeneous Wireless Networks	Jun 7, 2020	BIG-bench Machine LearningFederated Learning	—Unverified
Single-Layer Graph Convolutional Networks For Recommendation	Jun 7, 2020	Recommendation Systems	—Unverified
Exploration-Exploitation Motivated Variational Auto-Encoder for Recommender Systems	Jun 5, 2020	Collaborative FilteringRecommendation Systems	—Unverified
Providing reliability in Recommender Systems through Bernoulli Matrix Factorization	Jun 5, 2020	Collaborative FilteringGeneral Classification	CodeCode Available
Non-Stationary Delayed Bandits with Intermediate Observations	Jun 3, 2020	Recommendation Systems	—Unverified
Fairness-Aware Explainable Recommendation over Knowledge Graphs	Jun 3, 2020	Collaborative FilteringDecision Making	—Unverified
Light-in-the-loop: using a photonics co-processor for scalable training of neural networks	Jun 2, 2020	Lifelong learningRecommendation Systems	—Unverified
Submodular Bandit Problem Under Multiple Constraints	Jun 1, 2020	Recommendation SystemsRetrieval	—Unverified
Ordinal Non-negative Matrix Factorization for Recommendation	Jun 1, 2020	BinarizationRecommendation Systems	CodeCode Available
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation	May 30, 2020	Recommendation Systems	—Unverified
Operationalizing the Legal Principle of Data Minimization for Personalization	May 28, 2020	Recommendation Systems	—Unverified
A Re-visit of the Popularity Baseline in Recommender Systems	May 28, 2020	Recommendation Systems	CodeCode Available
An Exploratory Study of Hierarchical Fuzzy Systems Approach in Recommendation System	May 27, 2020	Recommendation Systems	—Unverified
Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach	May 25, 2020	AttributeGraph Embedding	—Unverified
ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation	May 25, 2020	Graph Neural NetworkRecommendation Systems	—Unverified
Opportunistic Multi-aspect Fairness through Personalized Re-ranking	May 21, 2020	AttributeFairness	—Unverified
Transfer Learning via Contextual Invariants for One-to-Many Cross-Domain Recommendation	May 21, 2020	ClusteringCollaborative Filtering	—Unverified
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems	May 20, 2020	Contrastive LearningFairness	—Unverified
A Survey of Reinforcement Learning Algorithms for Dynamically Varying Environments	May 19, 2020	Cloud ComputingManagement	—Unverified
Sequential Recommender via Time-aware Attentive Memory Network	May 18, 2020	Recommendation SystemsRetrieval	—Unverified
EdgeRec: Recommender System on Edge in Mobile Taobao	May 18, 2020	Recommendation SystemsReranking	—Unverified
A Hybrid Approach to Enhance Pure Collaborative Filtering based on Content Feature Relationship	May 17, 2020	Collaborative FilteringRecommendation Systems	—Unverified
Attacking Black-box Recommendations via Copying Cross-domain User Profiles	May 17, 2020	Data PoisoningDeep Learning	CodeCode Available
Utilizing FastText for Venue Recommendation	May 14, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available
Mitigating Gender Bias in Machine Learning Data Sets	May 14, 2020	BIG-bench Machine LearningFairness	—Unverified
Foundations and modelling of dynamic networks using Dynamic Graph Neural Networks: A survey	May 13, 2020	Dynamic Link PredictionEpidemiology	—Unverified
Multi-modal Embedding Fusion-based Recommender	May 13, 2020	Recommendation Systems	—Unverified
Framing Effects on Strategic Information Design under Receiver Distrust and Unknown State	May 12, 2020	Recommendation Systems	—Unverified
Keen2Act: Activity Recommendation in Online Social Collaborative Platforms	May 11, 2020	Recommendation Systems	—Unverified
SocialTrans: A Deep Sequential Model with Social Information for Web-Scale Recommendation Systems	May 9, 2020	Graph AttentionRecommendation Systems	—Unverified
Cornac: A Comparative Framework for Multimodal Recommender Systems	May 8, 2020	BenchmarkingRecommendation Systems	—Unverified
Fair Algorithms for Hierarchical Agglomerative Clustering	May 7, 2020	ClusteringFairness	—Unverified
Community Detection Clustering via Gumbel Softmax	May 5, 2020	ClusteringCommunity Detection	—Unverified
Reward Constrained Interactive Recommendation with Natural Language Feedback	May 4, 2020	Interactive RecommendationRecommendation Systems	—Unverified
Human Strategic Steering Improves Performance of Interactive Optimization	May 4, 2020	Recommendation Systems	CodeCode Available
FairMatch: A Graph-based Approach for Improving Aggregate Diversity in Recommender Systems	May 3, 2020	DiversityFairness	—Unverified
A Comparison of Explicit and Implicit Proactive Dialogue Strategies for Conversational Recommendation	May 1, 2020	Conversational RecommendationInformation Retrieval	—Unverified
Variational Autoencoders for Highly Multivariate Spatial Point Processes Intensities	May 1, 2020	Collaborative FilteringPoint Processes	—Unverified
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering	Apr 30, 2020	Collaborative FilteringRecommendation Systems	—Unverified
DS-FACTO: Doubly Separable Factorization Machines	Apr 29, 2020	Recommendation SystemsStochastic Optimization	—Unverified
CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network	Apr 28, 2020	ChunkingRecommendation Systems	CodeCode Available
A Linear Bandit for Seasonal Environments	Apr 28, 2020	Music RecommendationRecommendation Systems	—Unverified
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline	Apr 28, 2020	Recommendation Systems	—Unverified
Deep Conversational Recommender Systems: A New Frontier for Goal-Oriented Dialogue Systems	Apr 28, 2020	Collaborative FilteringDeep Learning	—Unverified
Personalized Recommendation of PoIs to People with Autism	Apr 27, 2020	Recommendation Systems	—Unverified
Hierarchical clustering of bipartite data sets based on the statistical significance of coincidences	Apr 27, 2020	ClusteringRecommendation Systems	CodeCode Available
Privacy in Deep Learning: A Survey	Apr 25, 2020	Deep LearningRecommendation 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