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 5601–5650 of 6047 papers

Title	Date	Tasks	Status	Hype
Evaluating Music Recommender Systems for Groups	Jul 31, 2017	BenchmarkingRecommendation Systems	—Unverified	0
Patterns of Multistakeholder Recommendation	Jul 28, 2017	Recommendation Systems	—Unverified	0
Factorization Machines Leveraging Lightweight Linked Open Data-enabled Features for Top-N Recommendations	Jul 28, 2017	Learning-To-RankRecommendation Systems	—Unverified	0
Multi-Stakeholder Recommendation: Applications and Challenges	Jul 27, 2017	Decision MakingRecommendation Systems	—Unverified	0
Group Recommendations: Axioms, Impossibilities, and Random Walks	Jul 27, 2017	Recommendation Systems	—Unverified	0
Probabilistic Graphical Models for Credibility Analysis in Evolving Online Communities	Jul 26, 2017	Language ModelingLanguage Modelling	—Unverified	0
Price and Profit Awareness in Recommender Systems	Jul 25, 2017	Recommendation Systems	—Unverified	0
Deep Learning based Recommender System: A Survey and New Perspectives	Jul 24, 2017	Deep LearningInformation Retrieval	CodeCode Available	0
From Task Classification Towards Similarity Measures for Recommendation in Crowdsourcing Systems	Jul 20, 2017	General ClassificationRecommendation Systems	—Unverified	0
Recommendation via matrix completion using Kolmogorov complexity	Jul 19, 2017	Collaborative FilteringMatrix Completion	—Unverified	0
DeepProbe: Information Directed Sequence Understanding and Chatbot Design via Recurrent Neural Networks	Jul 18, 2017	ChatbotRecommendation Systems	—Unverified	0
Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking	Jul 17, 2017	AttributeCollaborative Ranking	CodeCode Available	0
Translation-based Recommendation	Jul 8, 2017	Recommendation SystemsTranslation	CodeCode Available	0
Graph Based Recommendations: From Data Representation to Feature Extraction and Application	Jul 5, 2017	Recommendation Systems	—Unverified	0
Automatic Generation of Natural Language Explanations	Jul 4, 2017	NegationRecommendation Systems	—Unverified	0
Recommender System for News Articles using Supervised Learning	Jul 3, 2017	ArticlesRecommendation Systems	—Unverified	0
Variation Autoencoder Based Network Representation Learning for Classification	Jul 1, 2017	ClassificationDocument Classification	—Unverified	0
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations	Jul 1, 2017	AttributeFairness	—Unverified	0
New Fairness Metrics for Recommendation that Embrace Differences	Jun 29, 2017	Collaborative FilteringFairness	—Unverified	0
Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning	Jun 28, 2017	Imitation LearningRecommendation Systems	—Unverified	0
A preference elicitation interface for collecting dense recommender datasets with rich user information	Jun 27, 2017	counterfactualDiversity	—Unverified	0
Structured Recommendation	Jun 27, 2017	Recommendation SystemsStructured Prediction	—Unverified	0
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios	Jun 24, 2017	Knowledge GraphsRecommendation Systems	—Unverified	0
ParVecMF: A Paragraph Vector-based Matrix Factorization Recommender System	Jun 22, 2017	Recommendation Systems	CodeCode Available	0
Binary Latent Representations for Efficient Ranking: Empirical Assessment	Jun 22, 2017	Recommendation Systems	CodeCode Available	0
Inter-Session Modeling for Session-Based Recommendation	Jun 22, 2017	Recommendation SystemsSession-Based Recommendations	CodeCode Available	0
A Location-Sentiment-Aware Recommender System for Both Home-Town and Out-of-Town Users	Jun 20, 2017	Decision MakingRecommendation Systems	—Unverified	0
Towards a Recommender System for Undergraduate Research	Jun 20, 2017	Recommendation Systems	—Unverified	0
RARD: The Related-Article Recommendation Dataset	Jun 20, 2017	BIG-bench Machine LearningRecommendation Systems	—Unverified	0
pyRecLab: A Software Library for Quick Prototyping of Recommender Systems	Jun 20, 2017	Recommendation Systems	CodeCode Available	0
Addressing Item-Cold Start Problem in Recommendation Systems using Model Based Approach and Deep Learning	Jun 18, 2017	Recommendation Systems	—Unverified	0
SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation	Jun 16, 2017	Recommendation SystemsSequential Recommendation	—Unverified	0
Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems	Jun 12, 2017	Recommendation Systems	—Unverified	0
Item Silk Road: Recommending Items from Information Domains to Social Users	Jun 10, 2017	Collaborative RankingRecommendation Systems	—Unverified	0
Graph Convolutional Matrix Completion	Jun 7, 2017	Collaborative FilteringLink Prediction	CodeCode Available	1
Recommendation with k-anonymized Ratings	Jun 6, 2017	Collaborative FilteringRecommendation Systems	—Unverified	0
Meta-Learning for Resampling Recommendation Systems	Jun 6, 2017	ClassificationGeneral Classification	CodeCode Available	0
To Index or Not to Index: Optimizing Exact Maximum Inner Product Search	Jun 5, 2017	Recommendation Systems	CodeCode Available	0
Hybrid Collaborative Movie Recommender System Using Clustering and Bat Optimization	Jun 4, 2017	ClusteringRecommendation Systems	—Unverified	0
Joint Text Embedding for Personalized Content-based Recommendation	Jun 4, 2017	News RecommendationRecommendation Systems	—Unverified	0
Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition Applications	Jun 1, 2017	feature selectionInformation Retrieval	—Unverified	0
The Sample Complexity of Online One-Class Collaborative Filtering	May 31, 2017	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Twitter Hashtag Recommendation using Matrix Factorization	May 30, 2017	Recommendation Systemsvalid	—Unverified	0
Zonotope hit-and-run for efficient sampling from projection DPPs	May 30, 2017	DiversityPoint Processes	—Unverified	0
Algorithmic clothing: hybrid recommendation, from street-style-to-shop	May 26, 2017	General ClassificationRecommendation Systems	—Unverified	0
Beyond Parity: Fairness Objectives for Collaborative Filtering	May 24, 2017	Collaborative FilteringFairness	CodeCode Available	0
An Asynchronous Distributed Framework for Large-scale Learning Based on Parameter Exchanges	May 22, 2017	Binary ClassificationGeneral Classification	—Unverified	0
Why are Big Data Matrices Approximately Low Rank?	May 21, 2017	Recommendation SystemsTopic Models	—Unverified	0
Speeding up Memory-based Collaborative Filtering with Landmarks	May 19, 2017	Collaborative FilteringRecommendation Systems	—Unverified	0
Context Attentive Bandits: Contextual Bandit with Restricted Context	May 10, 2017	Recommendation SystemsThompson Sampling	—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