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 4351–4400 of 6047 papers

Title	Date	Tasks	Status	Hype
Presentation a Trust Walker for rating prediction in Recommender System with Biased Random Walk: Effects of H-index Centrality, Similarity in Items and Friends	Sep 10, 2020	Decision MakingRecommendation Systems	—Unverified	0
The use of Recommender Systems in web technology and an in-depth analysis of Cold State problem	Sep 10, 2020	Recommendation Systems	—Unverified	0
Momentum-based Gradient Methods in Multi-Objective Recommendation	Sep 10, 2020	Recommendation Systems	—Unverified	0
Rank over Class: The Untapped Potential of Ranking in Natural Language Processing	Sep 10, 2020	ClassificationGeneral Classification	CodeCode Available	1
On the Identification of Fair Auditors to Evaluate Recommender Systems based on a Novel Non-Comparative Fairness Notion	Sep 9, 2020	FairnessRecommendation Systems	—Unverified	0
Rule-Guided Graph Neural Networks for Recommender Systems	Sep 9, 2020	Collaborative FilteringKnowledge Graphs	CodeCode Available	1
IAI MovieBot: A Conversational Movie Recommender System	Sep 8, 2020	Recommendation Systems	CodeCode Available	1
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks	Sep 7, 2020	Graph Neural NetworkRecommendation Systems	—Unverified	0
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback	Sep 6, 2020	counterfactualRecommendation Systems	CodeCode Available	1
HyperFair: A Soft Approach to Integrating Fairness Criteria	Sep 5, 2020	FairnessRecommendation Systems	—Unverified	0
"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation	Sep 5, 2020	FairnessRecommendation Systems	—Unverified	0
A General Framework for Fairness in Multistakeholder Recommendations	Sep 4, 2020	FairnessRecommendation Systems	—Unverified	0
Efficient Model-Based Collaborative Filtering with Fast Adaptive PCA	Sep 4, 2020	Collaborative FilteringMatrix Completion	CodeCode Available	0
About Graph Degeneracy, Representation Learning and Scalability	Sep 4, 2020	Drug DiscoveryEdge Detection	CodeCode Available	0
Simultaneous Preference and Metric Learning from Paired Comparisons	Sep 4, 2020	Metric LearningRecommendation Systems	—Unverified	0
A Practical Incremental Method to Train Deep CTR Models	Sep 4, 2020	Incremental LearningRecommendation Systems	—Unverified	0
Exploring Artist Gender Bias in Music Recommendation	Sep 3, 2020	Collaborative FilteringMusic Recommendation	CodeCode Available	0
Why should I not follow you? Reasons For and Reasons Against in Responsible Recommender Systems	Sep 3, 2020	Explanation GenerationKnowledge Graphs	—Unverified	0
Neural Fair Collaborative Filtering	Sep 2, 2020	Collaborative FilteringDecision Making	—Unverified	0
Comparing Fair Ranking Metrics	Sep 2, 2020	FairnessInformation Retrieval	—Unverified	0
Heterogeneous Graph Neural Network for Recommendation	Sep 2, 2020	Graph Neural NetworkRecommendation Systems	—Unverified	0
Exploiting Latent Codes: Interactive Fashion Product Generation, Similar Image Retrieval, and Cross-Category Recommendation using Variational Autoencoders	Sep 2, 2020	Image RetrievalRecommendation Systems	—Unverified	0
Exploration in two-stage recommender systems	Sep 1, 2020	Recommendation SystemsVocal Bursts Valence Prediction	—Unverified	0
From Clicks to Conversions: Recommendation for long-term reward	Sep 1, 2020	Recommendation Systems	—Unverified	0
Quaternion-Based Self-Attentive Long Short-Term User Preference Encoding for Recommendation	Aug 31, 2020	Recommendation Systems	—Unverified	0
A Differentiable Ranking Metric Using Relaxed Sorting Operation for Top-K Recommender Systems	Aug 30, 2020	Recommendation Systems	—Unverified	0
Beyond Next Item Recommendation: Recommending and Evaluating List of Sequences	Aug 30, 2020	Recommendation Systems	—Unverified	0
PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records	Aug 28, 2020	Recommendation Systems	—Unverified	0
BLOB : A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals	Aug 28, 2020	Recommendation Systems	—Unverified	0
DVE: Dynamic Variational Embeddings with Applications in Recommender Systems	Aug 27, 2020	Link PredictionNode Classification	—Unverified	0
Time-based Sequence Model for Personalization and Recommendation Systems	Aug 27, 2020	Recommendation Systems	CodeCode Available	1
Dual Channel Hypergraph Collaborative Filtering	Aug 27, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
At Your Service: Coffee Beans Recommendation From a Robot Assistant	Aug 26, 2020	Recommendation Systems	—Unverified	0
Time-Aware Music Recommender Systems: Modeling the Evolution of Implicit User Preferences and User Listening Habits in A Collaborative Filtering Approach	Aug 26, 2020	Collaborative FilteringRecommendation Systems	—Unverified	0
Buy Me That Look: An Approach for Recommending Similar Fashion Products	Aug 26, 2020	Active LearningArticles	CodeCode Available	0
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems	Aug 25, 2020	Incremental LearningRecommendation Systems	CodeCode Available	0
Towards Comprehensive Recommender Systems: Time-Aware UnifiedcRecommendations Based on Listwise Ranking of Implicit Cross-Network Data	Aug 25, 2020	DiversityRecommendation Systems	—Unverified	0
LSTM Networks for Online Cross-Network Recommendations	Aug 25, 2020	DiversityRecommendation Systems	—Unverified	0
Sample-Rank: Weak Multi-Objective Recommendations Using Rejection Sampling	Aug 24, 2020	Learning-To-RankRecommendation Systems	—Unverified	0
A Baseline Analysis for Podcast Abstractive Summarization	Aug 24, 2020	Abstractive Text SummarizationRecommendation Systems	CodeCode Available	0
Table2Charts: Recommending Charts by Learning Shared Table Representations	Aug 24, 2020	Q-LearningRecommendation Systems	CodeCode Available	1
A Framework for Recommending Accurate and Diverse ItemsUsing Bayesian Graph Convolutional Neural Networks	Aug 23, 2020	Recommendation Systems	CodeCode Available	0
Collaborative Filtering under Model Uncertainty	Aug 23, 2020	Collaborative Filteringmodel	CodeCode Available	0
Fatigue-aware Bandits for Dependent Click Models	Aug 22, 2020	Recommendation Systems	—Unverified	0
NCS4CVR: Neuron-Connection Sharing for Multi-Task Learning in Video Conversion Rate Prediction	Aug 22, 2020	Click-Through Rate PredictionMulti-Task Learning	—Unverified	0
Theoretical Modeling of the Iterative Properties of User Discovery in a Collaborative Filtering Recommender System	Aug 21, 2020	BIG-bench Machine LearningCollaborative Filtering	CodeCode Available	0
Explainable Recommender Systems via Resolving Learning Representations	Aug 21, 2020	AttributeExplainable Recommendation	—Unverified	0
Offline Contextual Multi-armed Bandits for Mobile Health Interventions: A Case Study on Emotion Regulation	Aug 21, 2020	ManagementMulti-Armed Bandits	—Unverified	0
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation	Aug 21, 2020	FairnessRecommendation Systems	—Unverified	0
Neural Logic Reasoning	Aug 20, 2020	Logical ReasoningRecommendation Systems	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