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	Hype
It's Time to Consider "Time" when Evaluating Recommender-System Algorithms [Proposal]	Oct 29, 2017	PositionRecommendation Systems	—Unverified	0
Content Recommendation through Semantic Annotation of User Reviews and Linked Data - An Extended Technical Report	Oct 28, 2017	Recommendation Systems	—Unverified	0
Combining Aspects of Genetic Algorithms with Weighted Recommender Hybridization	Oct 27, 2017	Recommendation Systems	—Unverified	0
Interpreting Contextual Effects By Contextual Modeling In Recommender Systems	Oct 23, 2017	Decision MakingRecommendation Systems	—Unverified	0
A Unified Framework for Long Range and Cold Start Forecasting of Seasonal Profiles in Time Series	Oct 23, 2017	Recommendation SystemsTime Series	—Unverified	0
Sequential Matrix Completion	Oct 23, 2017	Collaborative FilteringMatrix Completion	—Unverified	0
Preference Modeling by Exploiting Latent Components of Ratings	Oct 19, 2017	Recommendation Systems	—Unverified	0
UniWalk: Explainable and Accurate Recommendation for Rating and Network Data	Oct 18, 2017	Recommendation Systems	—Unverified	0
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation	Oct 16, 2017	Graph EmbeddingKnowledge Graph Embedding	—Unverified	0
Is Simple Better? Revisiting Non-linear Matrix Factorization for Learning Incomplete Ratings	Oct 16, 2017	ClusteringCollaborative Filtering	—Unverified	0
SCFM: Social and crowdsourcing factorization machines for recommendation	Oct 14, 2017	Recommendation Systems	—Unverified	0
Benefits from Superposed Hawkes Processes	Oct 14, 2017	Point ProcessesRecommendation Systems	—Unverified	0
Weighted-SVD: Matrix Factorization with Weights on the Latent Factors	Oct 2, 2017	Recommendation Systems	CodeCode Available	0
Recommender system for Weld break prediction	Oct 1, 2017	PredictionRecommendation Systems	CodeCode Available	0
Personalized Recommender System for Children's Book Recommendation with A Realtime Interactive Robot	Oct 1, 2017	Recommendation Systems	—Unverified	0
A novel recommendation system to match college events and groups to students	Sep 26, 2017	Recommendation Systems	—Unverified	0
Algorithms and Architecture for Real-time Recommendations at News UK	Sep 15, 2017	Collaborative FilteringRecommendation Systems	—Unverified	0
Multimodal Content Analysis for Effective Advertisements on YouTube	Sep 12, 2017	Recommendation Systems	—Unverified	0
SweetRS: Dataset for a recommender systems of sweets	Sep 10, 2017	BenchmarkingMatrix Completion	CodeCode Available	0
Rates of Convergence of Spectral Methods for Graphon Estimation	Sep 10, 2017	Community DetectionGraphon Estimation	—Unverified	0
Estimation of a Low-rank Topic-Based Model for Information Cascades	Sep 6, 2017	Recommendation Systems	CodeCode Available	0
Using Posters to Recommend Anime and Mangas in a Cold-Start Scenario	Sep 3, 2017	Collaborative FilteringRecommendation Systems	CodeCode Available	0
Incorporating Metadata into Content-Based User Embeddings	Sep 1, 2017	AttributeData Augmentation	—Unverified	0
Huntsville, hospitals, and hockey teams: Names can reveal your location	Sep 1, 2017	Knowledge Base PopulationRecommendation Systems	—Unverified	0
What to Write? A topic recommender for journalists	Sep 1, 2017	ArticlesRecommendation Systems	—Unverified	0
Predicting News Values from Headline Text and Emotions	Sep 1, 2017	BIG-bench Machine LearningRecommendation Systems	—Unverified	0
Telepath: Understanding Users from a Human Vision Perspective in Large-Scale Recommender Systems	Sep 1, 2017	Recommendation Systems	—Unverified	0
End-to-end Learning for Short Text Expansion	Aug 30, 2017	Recommendation Systemstext-classification	—Unverified	0
Impact of Feature Selection on Micro-Text Classification	Aug 27, 2017	ClassificationClustering	—Unverified	0
Family Shopping Recommendation System Using User Profile and Behavior Data	Aug 24, 2017	Collaborative FilteringRecommendation Systems	—Unverified	0
Large-Scale User Modeling with Recurrent Neural Networks for Music Discovery on Multiple Time Scales	Aug 22, 2017	Collaborative FilteringRecommendation Systems	—Unverified	0
Explainable Recommendation: Theory and Applications	Aug 21, 2017	Explainable RecommendationRecommendation Systems	—Unverified	0
Vector Space Model as Cognitive Space for Text Classification	Aug 21, 2017	Author ProfilingClassification	—Unverified	0
Multi-objective Contextual Multi-armed Bandit with a Dominant Objective	Aug 18, 2017	Medical DiagnosisRecommendation Systems	—Unverified	0
Human Uncertainty and Ranking Error -- The Secret of Successful Evaluation in Predictive Data Mining	Aug 17, 2017	Recommendation Systems	—Unverified	0
Neural Collaborative Filtering	Aug 16, 2017	Collaborative FilteringRecommendation Systems	CodeCode Available	1
Corrupt Bandits for Preserving Local Privacy	Aug 16, 2017	Recommendation Systems	—Unverified	0
iTrace: An Implicit Trust Inference Method for Trust-aware Collaborative Filtering	Aug 15, 2017	Collaborative FilteringRecommendation Systems	—Unverified	0
Towards Learning Reward Functions from User Interactions	Aug 15, 2017	Recommendation Systems	—Unverified	0
Collaborative Filtering using Denoising Auto-Encoders for Market Basket Data	Aug 14, 2017	Collaborative FilteringDenoising	—Unverified	0
Style2Vec: Representation Learning for Fashion Items from Style Sets	Aug 14, 2017	Image ClassificationRecommendation Systems	CodeCode Available	0
Optimizing Gross Merchandise Volume via DNN-MAB Dynamic Ranking Paradigm	Aug 14, 2017	Recommendation Systems	—Unverified	0
Online Interactive Collaborative Filtering Using Multi-Armed Bandit with Dependent Arms	Aug 10, 2017	ArticlesCollaborative Filtering	—Unverified	0
Training Deep AutoEncoders for Collaborative Filtering	Aug 5, 2017	Collaborative FilteringRecommendation Systems	CodeCode Available	2
A Multi-Objective Learning to re-Rank Approach to Optimize Online Marketplaces for Multiple Stakeholders	Aug 2, 2017	Recommendation Systems	—Unverified	0
Bridging Collaborative Filtering and Semi-Supervised Learning: A Neural Approach for POI Recommendation	Aug 1, 2017	Collaborative FilteringRecommendation Systems	—Unverified	0
When Recurrent Neural Networks meet the Neighborhood for Session-Based Recommendation	Aug 1, 2017	Recommendation SystemsSession-Based Recommendations	—Unverified	0
Probabilistic Submodular Maximization in Sub-Linear Time	Aug 1, 2017	Recommendation Systems	—Unverified	0
Preferential Bayesian Optmization	Aug 1, 2017	Bayesian OptimizationRecommendation Systems	—Unverified	0
Personality Driven Differences in Paraphrase Preference	Aug 1, 2017	Machine TranslationRecommendation Systems	—Unverified	0

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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