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 2151–2200 of 6047 papers

Title	Date	Tasks	Status	Hype
Improving Social Media Popularity Prediction with Multiple Post Dependencies	Jul 28, 2023	PredictionRecommendation Systems	—Unverified	0
Sustainable transparency in Recommender Systems: Bayesian Ranking of Images for Explainability	Jul 27, 2023	Explainable RecommendationExplanation Generation	CodeCode Available	0
Reconciling the accuracy-diversity trade-off in recommendations	Jul 27, 2023	DiversityRecommendation Systems	—Unverified	0
Widespread Flaws in Offline Evaluation of Recommender Systems	Jul 27, 2023	Recommendation Systems	CodeCode Available	2
The Effect of Third Party Implementations on Reproducibility	Jul 27, 2023	Recommendation Systems	CodeCode Available	2
Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions	Jul 27, 2023	Product RecommendationRecommendation Systems	CodeCode Available	1
Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation	Jul 26, 2023	Conversational RecommendationRecommendation Systems	CodeCode Available	0
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences	Jul 26, 2023	Collaborative FilteringRecommendation Systems	—Unverified	0
ChatGPT and Persuasive Technologies for the Management and Delivery of Personalized Recommendations in Hotel Hospitality	Jul 26, 2023	Decision MakingManagement	—Unverified	0
Unleash the Power of Context: Enhancing Large-Scale Recommender Systems with Context-Based Prediction Models	Jul 25, 2023	Click-Through Rate PredictionPrediction	—Unverified	0
GNN4FR: A Lossless GNN-based Federated Recommendation Framework	Jul 25, 2023	Recommendation Systems	—Unverified	0
Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning	Jul 25, 2023	FairnessRecommendation Systems	CodeCode Available	0
The GANfather: Controllable generation of malicious activity to improve defence systems	Jul 25, 2023	Recommendation Systems	—Unverified	0
ClusterSeq: Enhancing Sequential Recommender Systems with Clustering based Meta-Learning	Jul 25, 2023	ClusteringMeta-Learning	—Unverified	0
Argument Attribution Explanations in Quantitative Bipolar Argumentation Frameworks (Technical Report)	Jul 25, 2023	Fake News DetectionRecommendation Systems	—Unverified	0
HeteFedRec: Federated Recommender Systems with Model Heterogeneity	Jul 24, 2023	Knowledge Distillationmodel	—Unverified	0
Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations	Jul 24, 2023	Recommendation Systems	—Unverified	0
Interface Design to Mitigate Inflation in Recommender Systems	Jul 23, 2023	Recommendation Systems	CodeCode Available	1
Conformal Group Recommender System	Jul 22, 2023	Conformal PredictionRecommendation Systems	—Unverified	0
HTP: Exploiting Holistic Temporal Patterns for Sequential Recommendation	Jul 22, 2023	Recommendation SystemsSequential Recommendation	CodeCode Available	0
The Two Faces of AI in Green Mobile Computing: A Literature Review	Jul 21, 2023	Recommendation Systems	—Unverified	0
Methodologies for Improving Modern Industrial Recommender Systems	Jul 21, 2023	Recommendation Systems	—Unverified	0
Preferences Evolve And So Should Your Bandits: Bandits with Evolving States for Online Platforms	Jul 21, 2023	Multi-Armed BanditsRecommendation Systems	—Unverified	0
Alleviating the Long-Tail Problem in Conversational Recommender Systems	Jul 21, 2023	DiversityRecommendation Systems	CodeCode Available	0
Improving Semantic Similarity Measure Within a Recommender System Based-on RDF Graphs	Jul 20, 2023	Recommendation SystemsSemantic Similarity	—Unverified	0
Music Genre Classification with ResNet and Bi-GRU Using Visual Spectrograms	Jul 20, 2023	Classificationfeature selection	—Unverified	0
A Constraint-based Recommender System via RDF Knowledge Graphs	Jul 20, 2023	Knowledge GraphsRecommendation Systems	—Unverified	0
PASTA: Pretrained Action-State Transformer Agents	Jul 20, 2023	Language ModelingLanguage Modelling	—Unverified	0
TREA: Tree-Structure Reasoning Schema for Conversational Recommendation	Jul 20, 2023	Conversational RecommendationKnowledge Graphs	CodeCode Available	0
A Personalized Recommender System Based-on Knowledge Graph Embeddings	Jul 20, 2023	Knowledge Graph EmbeddingsKnowledge Graphs	—Unverified	0
Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?	Jul 19, 2023	Recommendation Systems	CodeCode Available	0
Impatient Bandits: Optimizing Recommendations for the Long-Term Without Delay	Jul 19, 2023	Recommendation Systems	CodeCode Available	0
LightGT: A Light Graph Transformer for Multimedia Recommendation	Jul 18, 2023	Collaborative FilteringMicrovideo Recommendation	CodeCode Available	1
News Popularity Beyond the Click-Through-Rate for Personalized Recommendations	Jul 18, 2023	ArticlesClick-Through Rate Prediction	—Unverified	0
Deep Neural Aggregation for Recommending Items to Group of Users	Jul 18, 2023	Recommendation Systems	CodeCode Available	0
ESMC: Entire Space Multi-Task Model for Post-Click Conversion Rate via Parameter Constraint	Jul 18, 2023	Decision MakingRecommendation Systems	—Unverified	0
Evaluating and Enhancing Robustness of Deep Recommendation Systems Against Hardware Errors	Jul 17, 2023	Recommendation Systems	—Unverified	0
Imposing Consistency Properties on Blackbox Systems with Applications to SVD-Based Recommender Systems	Jul 17, 2023	FairnessMatrix Completion	—Unverified	0
An Admissible Shift-Consistent Method for Recommender Systems	Jul 17, 2023	FairnessImputation	—Unverified	0
Leveraging Recommender Systems to Reduce Content Gaps on Peer Production Platforms	Jul 17, 2023	ArticlesRecommendation Systems	—Unverified	0
Measuring Item Global Residual Value for Fair Recommendation	Jul 17, 2023	Recommendation Systems	CodeCode Available	0
Opinion mining using Double Channel CNN for Recommender System	Jul 15, 2023	Opinion MiningRecommendation Systems	—Unverified	0
AIOptimizer - Software performance optimisation prototype for cost minimisation	Jul 15, 2023	Fault DiagnosisRecommendation Systems	—Unverified	0
An IPW-based Unbiased Ranking Metric in Two-sided Markets	Jul 14, 2023	Learning-To-RankPosition	—Unverified	0
Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data	Jul 14, 2023	Click-Through Rate PredictionPrediction	—Unverified	0
Hybrid moderation in the newsroom: Recommending featured posts to content moderators	Jul 14, 2023	ArticlesRecommendation Systems	—Unverified	0
Going Beyond Local: Global Graph-Enhanced Personalized News Recommendations	Jul 13, 2023	ArticlesNews Recommendation	CodeCode Available	1
NS4AR: A new, focused on sampling areas sampling method in graphical recommendation Systems	Jul 13, 2023	Recommendation Systems	—Unverified	0
Empowering recommender systems using automatically generated Knowledge Graphs and Reinforcement Learning	Jul 11, 2023	Decision MakingKnowledge Graphs	CodeCode Available	0
Neural-Symbolic Recommendation with Graph-Enhanced Information	Jul 11, 2023	Recommendation Systems	CodeCode Available	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