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 5551–5600 of 6047 papers

Title	Date	Tasks	Status
Towards a More Reliable Privacy-preserving Recommender System	Nov 21, 2017	Collaborative FilteringPrivacy Preserving	—Unverified
Session-aware Information Embedding for E-commerce Product Recommendation	Nov 20, 2017	Product RecommendationRecommendation Systems	—Unverified
CC-GA: A clustering coefficient based genetic algorithm for detecting communities in social networks	Nov 16, 2017	Recommendation Systems	—Unverified
Considering Durations and Replays to Improve Music Recommender Systems	Nov 14, 2017	Music RecommendationRecommendation Systems	—Unverified
Recommender Systems with Random Walks: A Survey	Nov 11, 2017	Collaborative FilteringRecommendation Systems	—Unverified
Food Recommender Systems: Important Contributions, Challenges and Future Research Directions	Nov 10, 2017	Food recommendationRecommendation Systems	—Unverified
Visually-Aware Fashion Recommendation and Design with Generative Image Models	Nov 7, 2017	Recommendation Systems	—Unverified
Deep density networks and uncertainty in recommender systems	Nov 7, 2017	Collaborative FilteringEfficient Exploration	—Unverified
A Survey on Dialogue Systems: Recent Advances and New Frontiers	Nov 6, 2017	Deep LearningRecommendation Systems	—Unverified
Regret Bounds and Regimes of Optimality for User-User and Item-Item Collaborative Filtering	Nov 6, 2017	Collaborative FilteringRecommendation Systems	—Unverified
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources	Nov 6, 2017	Context Aware Product RecommendationLearning-To-Rank	CodeCode Available
Multilayer tensor factorization with applications to recommender systems	Nov 5, 2017	MarketingRecommendation Systems	—Unverified
Beautiful and damned. Combined effect of content quality and social ties on user engagement	Nov 1, 2017	Recommendation Systems	—Unverified
Estimating Reactions and Recommending Products with Generative Models of Reviews	Nov 1, 2017	Collaborative FilteringLanguage Modeling	—Unverified
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility	Oct 30, 2017	Recommendation Systems	—Unverified
It's Time to Consider "Time" when Evaluating Recommender-System Algorithms [Proposal]	Oct 29, 2017	PositionRecommendation Systems	—Unverified
Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report	Oct 28, 2017	Recommendation Systems	—Unverified
Combining Aspects of Genetic Algorithms with Weighted Recommender Hybridization	Oct 27, 2017	Recommendation Systems	—Unverified
A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series	Oct 23, 2017	Recommendation SystemsTime Series	—Unverified
Sequential Matrix Completion	Oct 23, 2017	Collaborative FilteringMatrix Completion	—Unverified
Interpreting Contextual Effects By Contextual Modeling In Recommender Systems	Oct 23, 2017	Decision MakingRecommendation Systems	—Unverified
Preference Modeling by Exploiting Latent Components of Ratings	Oct 19, 2017	Recommendation Systems	—Unverified
UniWalk: Explainable and Accurate Recommendation for Rating and Network Data	Oct 18, 2017	Recommendation Systems	—Unverified
Is Simple Better? Revisiting Non-linear Matrix Factorization for Learning Incomplete Ratings	Oct 16, 2017	ClusteringCollaborative Filtering	—Unverified
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation	Oct 16, 2017	Graph EmbeddingKnowledge Graph Embedding	—Unverified
Benefits from Superposed Hawkes Processes	Oct 14, 2017	Point ProcessesRecommendation Systems	—Unverified
SCFM: Social and crowdsourcing factorization machines for recommendation	Oct 14, 2017	Recommendation Systems	—Unverified
Weighted-SVD: Matrix Factorization with Weights on the Latent Factors	Oct 2, 2017	Recommendation Systems	CodeCode Available
Personalized Recommender System for Children's Book Recommendation with A Realtime Interactive Robot	Oct 1, 2017	Recommendation Systems	—Unverified
Recommender system for Weld break prediction	Oct 1, 2017	PredictionRecommendation Systems	CodeCode Available
A novel recommendation system to match college events and groups to students	Sep 26, 2017	Recommendation Systems	—Unverified
Algorithms and Architecture for Real-time Recommendations at News UK	Sep 15, 2017	Collaborative FilteringRecommendation Systems	—Unverified
Multimodal Content Analysis for Effective Advertisements on YouTube	Sep 12, 2017	Recommendation Systems	—Unverified
SweetRS: Dataset for a recommender systems of sweets	Sep 10, 2017	BenchmarkingMatrix Completion	CodeCode Available
Rates of Convergence of Spectral Methods for Graphon Estimation	Sep 10, 2017	Community DetectionGraphon Estimation	—Unverified
Estimation of a Low-rank Topic-Based Model for Information Cascades	Sep 6, 2017	Recommendation Systems	CodeCode Available
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario	Sep 3, 2017	Collaborative FilteringRecommendation Systems	CodeCode Available
Predicting News Values from Headline Text and Emotions	Sep 1, 2017	BIG-bench Machine LearningRecommendation Systems	—Unverified
Huntsville, hospitals, and hockey teams: Names can reveal your location	Sep 1, 2017	Knowledge Base PopulationRecommendation Systems	—Unverified
What to Write? A topic recommender for journalists	Sep 1, 2017	ArticlesRecommendation Systems	—Unverified
Incorporating Metadata into Content-Based User Embeddings	Sep 1, 2017	AttributeData Augmentation	—Unverified
Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems	Sep 1, 2017	Recommendation Systems	—Unverified
End-to-end Learning for Short Text Expansion	Aug 30, 2017	Recommendation Systemstext-classification	—Unverified
Impact of Feature Selection on Micro-Text Classification	Aug 27, 2017	ClassificationClustering	—Unverified
Family Shopping Recommendation System Using User Profile and Behavior Data	Aug 24, 2017	Collaborative FilteringRecommendation Systems	—Unverified
Large-Scale User Modeling with Recurrent Neural Networks for Music Discovery on Multiple Time Scales	Aug 22, 2017	Collaborative FilteringRecommendation Systems	—Unverified
Explainable Recommendation: Theory and Applications	Aug 21, 2017	Explainable RecommendationRecommendation Systems	—Unverified
Vector Space Model as Cognitive Space for Text Classification	Aug 21, 2017	Author ProfilingClassification	—Unverified
Multi-objective Contextual Multi-armed Bandit with a Dominant Objective	Aug 18, 2017	Medical DiagnosisRecommendation Systems	—Unverified
Human Uncertainty and Ranking Error -- The Secret of Successful Evaluation in Predictive Data Mining	Aug 17, 2017	Recommendation 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