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 1901–1950 of 6047 papers

Title	Date	Tasks	Status	Hype
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems	Oct 16, 2023	Learning-To-RankMulti-Task Learning	—Unverified	0
Leveraging heterogeneous spillover in maximizing contextual bandit rewards	Oct 16, 2023	Multi-Armed BanditsRecommendation Systems	—Unverified	0
Rethinking Financial Service Promotion With Hybrid Recommender Systems at PicPay	Oct 16, 2023	Recommendation Systems	—Unverified	0
Dynamic Link Prediction for New Nodes in Temporal Graph Networks	Oct 15, 2023	Dynamic Link PredictionLink Prediction	—Unverified	0
Addressing the cold start problem in privacy preserving content-based recommender systems using hypercube graphs	Oct 13, 2023	Collaborative FilteringPrivacy Preserving	—Unverified	0
Collaborative Semantic Alignment in Recommendation Systems	Oct 13, 2023	Collaborative FilteringLanguage Modelling	—Unverified	0
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems	Oct 13, 2023	Collaborative FilteringDecision Making	—Unverified	0
Rethinking Large-scale Pre-ranking System: Entire-chain Cross-domain Models	Oct 12, 2023	Recommendation SystemsRe-Ranking	CodeCode Available	0
Metrics for popularity bias in dynamic recommender systems	Oct 12, 2023	Collaborative FilteringRecommendation Systems	—Unverified	0
Byzantine-Resilient Decentralized Multi-Armed Bandits	Oct 11, 2023	Multi-Armed BanditsRecommendation Systems	—Unverified	0
A Completely Locale-independent Session-based Recommender System by Leveraging Trained Model	Oct 11, 2023	Product RecommendationRecommendation Systems	—Unverified	0
Using Learnable Physics for Real-Time Exercise Form Recommendations	Oct 11, 2023	FormRecommendation Systems	—Unverified	0
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation	Oct 10, 2023	AttributeLanguage Modeling	—Unverified	0
Memory efficient location recommendation through proximity-aware representation	Oct 10, 2023	Recommendation SystemsSequential Recommendation	—Unverified	0
Sequential Tag Recommendation	Oct 9, 2023	Recommendation SystemsRetrieval	—Unverified	0
Factual and Personalized Recommendations using Language Models and Reinforcement Learning	Oct 9, 2023	Language ModelingLanguage Modelling	—Unverified	0
Binary Classification with Confidence Difference	Oct 9, 2023	Binary ClassificationClassification	—Unverified	0
Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform Data	Oct 7, 2023	Recommendation Systems	—Unverified	0
Hybrid Recommendation System using Graph Neural Network and BERT Embeddings	Oct 7, 2023	Graph Neural NetworkLink Prediction	—Unverified	0
Ten Challenges in Industrial Recommender Systems	Oct 7, 2023	Collaborative FilteringRecommendation Systems	—Unverified	0
Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems	Oct 6, 2023	AttributeRecommendation Systems	CodeCode Available	0
Demystifying Embedding Spaces using Large Language Models	Oct 6, 2023	Dimensionality ReductionRecommendation Systems	—Unverified	0
Talk like a Graph: Encoding Graphs for Large Language Models	Oct 6, 2023	Recommendation Systems	CodeCode Available	1
AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems	Oct 6, 2023	NavigateRecommendation Systems	—Unverified	0
Lending Interaction Wings to Recommender Systems with Conversational Agents	Oct 6, 2023	AttributeConversational Recommendation	—Unverified	0
Multitask Learning for Time Series Data with 2D Convolution	Oct 5, 2023	Dynamic Time WarpingRecommendation Systems	—Unverified	0
Potential Factors Leading to Popularity Unfairness in Recommender Systems: A User-Centered Analysis	Oct 4, 2023	Movie RecommendationRecommendation Systems	—Unverified	0
Beyond-Accuracy: A Review on Diversity, Serendipity and Fairness in Recommender Systems Based on Graph Neural Networks	Oct 3, 2023	Collaborative FilteringDiversity	—Unverified	0
CORec-Cri: How collaborative and social technologies can help to contextualize crises?	Oct 3, 2023	Decision MakingManagement	—Unverified	0
Human Mobility Question Answering (Vision Paper)	Oct 2, 2023	ManagementQuestion Answering	—Unverified	0
Variance-Aware Regret Bounds for Stochastic Contextual Dueling Bandits	Oct 2, 2023	Computational EfficiencyDecision Making	CodeCode Available	0
NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation	Oct 2, 2023	BenchmarkingNews Recommendation	CodeCode Available	1
A General Offline Reinforcement Learning Framework for Interactive Recommendation	Oct 1, 2023	Interactive RecommendationRecommendation Systems	—Unverified	0
TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation	Oct 1, 2023	Contrastive LearningData Augmentation	—Unverified	0
DURENDAL: Graph deep learning framework for temporal heterogeneous networks	Sep 30, 2023	Deep LearningGraph Learning	—Unverified	0
Toward Robust Recommendation via Real-time Vicinal Defense	Sep 29, 2023	Recommendation Systems	—Unverified	0
SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework	Sep 29, 2023	Privacy PreservingRecommendation Systems	CodeCode Available	0
Context-Based Tweet Engagement Prediction	Sep 28, 2023	Feature Engineeringfeature selection	CodeCode Available	0
Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation	Sep 28, 2023	Recommendation SystemsSelf-Supervised Learning	—Unverified	0
Automatic Feature Fairness in Recommendation via Adversaries	Sep 27, 2023	FairnessRecommendation Systems	CodeCode Available	0
LD4MRec: Simplifying and Powering Diffusion Model for Multimedia Recommendation	Sep 27, 2023	Multimedia recommendationRecommendation Systems	—Unverified	0
Enhancing Cross-Category Learning in Recommendation Systems with Multi-Layer Embedding Training	Sep 27, 2023	Click-Through Rate PredictionRecommendation Systems	—Unverified	0
A Content-Driven Micro-Video Recommendation Dataset at Scale	Sep 27, 2023	BenchmarkingRecommendation Systems	CodeCode Available	2
Cold & Warm Net: Addressing Cold-Start Users in Recommender Systems	Sep 27, 2023	Knowledge DistillationMeta-Learning	—Unverified	0
Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking	Sep 26, 2023	Recommendation Systems	CodeCode Available	1
SeMAnD: Self-Supervised Anomaly Detection in Multimodal Geospatial Datasets	Sep 26, 2023	Anomaly ClassificationAnomaly Detection	—Unverified	0
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction	Sep 26, 2023	Click-Through Rate PredictionRecommendation Systems	CodeCode Available	0
Facilitating Interdisciplinary Knowledge Transfer with Research Paper Recommender Systems	Sep 26, 2023	DiversityDocument Embedding	CodeCode Available	0
Multi-Task Learning For Reduced Popularity Bias In Multi-Territory Video Recommendations	Sep 25, 2023	Multi-Task LearningRecommendation Systems	—Unverified	0
Algorithmic Collusion or Competition: the Role of Platforms' Recommender Systems	Sep 25, 2023	Recommendation Systems	—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	GC-MC	RMSE (u1 Splits)	0.91	—	Unverified
9	FedPerGNN	RMSE	0.91	—	Unverified
10	Self-Supervised Exchangeable Model	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	SimpleX	NDCG@20	0.06	—	Unverified
6	MGDCF	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	CR-Walker	Recall@1	0.04	—	Unverified
6	CRFR	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