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 5401–5450 of 6047 papers

Title	Date	Tasks	Status
EdgeRec: Recommender System on Edge in Mobile Taobao	May 18, 2020	Recommendation SystemsReranking	—Unverified
EduPal leaves no professor behind: Supporting faculty via a peer-powered recommender system	Apr 20, 2021	ChatbotKnowledge Distillation	—Unverified
EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation	Apr 1, 2024	EEGRecommendation Systems	—Unverified
Vertical Allocation-based Fair Exposure Amortizing in Ranking	Apr 6, 2022	Exposure FairnessFairness	—Unverified
Effective Model Integration Algorithm for Improving Link and Sign Prediction in Complex Networks	Aug 3, 2021	Decision MakingFeature Engineering	—Unverified
Effective Off-Policy Evaluation and Learning in Contextual Combinatorial Bandits	Aug 20, 2024	Off-policy evaluationRecommendation Systems	—Unverified
Effective Visualization and Analysis of Recommender Systems	Mar 2, 2023	DiversityRecommendation Systems	—Unverified
Effects of Foraging in Personalized Content-based Image Recommendation	Jun 30, 2019	Recommendation Systems	—Unverified
Effects of Using Synthetic Data on Deep Recommender Models' Performance	Jun 26, 2024	Data AugmentationRecommendation Systems	—Unverified
Efficient and Accurate Top-K Recovery from Choice Data	Jun 23, 2022	Information RetrievalLearning-To-Rank	—Unverified
Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models	Aug 20, 2024	Music RecommendationRecommendation Systems	—Unverified
Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation	Nov 5, 2024	GPUparameter-efficient fine-tuning	—Unverified
Efficient and Effective Similarity Search over Bipartite Graphs	Dec 11, 2023	Recommendation Systems	—Unverified
Efficient and Responsible Adaptation of Large Language Models for Robust Top-k Recommendations	May 1, 2024	Collaborative FilteringIn-Context Learning	—Unverified
Efficient and Responsible Adaptation of Large Language Models for Robust and Equitable Top-k Recommendations	Jan 8, 2025	In-Context LearningRecommendation Systems	—Unverified
Efficient Beam Search for Initial Access Using Collaborative Filtering	Sep 14, 2022	Collaborative FilteringRecommendation Systems	—Unverified
Efficient Continual Learning with Low Memory Footprint For Edge Device	Jul 15, 2024	Continual LearningRecommendation Systems	—Unverified
Efficient Data-specific Model Search for Collaborative Filtering	Jun 14, 2021	AutoMLCollaborative Filtering	—Unverified
Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning	May 25, 2023	Contrastive LearningInformation Retrieval	—Unverified
Sparse-Dyn: Sparse Dynamic Graph Multi-representation Learning via Event-based Sparse Temporal Attention Network	Jan 4, 2022	Graph EmbeddingGraph Neural Network	—Unverified
Efficient Evaluation of Large Language Models via Collaborative Filtering	Apr 5, 2025	Collaborative FilteringRecommendation Systems	—Unverified
Efficient Graph based Recommender System with Weighted Averaging of Messages	Sep 30, 2022	Collaborative FilteringGraph Attention	—Unverified
Efficient Inference of Sub-Item Id-based Sequential Recommendation Models with Millions of Items	Aug 19, 2024	Recommendation SystemsSequential Recommendation	—Unverified
Efficient Large-Scale Visual Representation Learning And Evaluation	May 22, 2023	Recommendation SystemsRepresentation Learning	—Unverified
Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction	Sep 25, 2022	Click-Through Rate PredictionRecommendation Systems	—Unverified
Efficiently Embedding Dynamic Knowledge Graphs	Oct 15, 2019	Graph EmbeddingKnowledge Graph Embedding	—Unverified
Efficiently Learning Mixtures of Mallows Models	Aug 17, 2018	Recommendation Systems	—Unverified
Efficient Mixed Dimension Embeddings for Matrix Factorization	May 18, 2022	Recommendation Systems	—Unverified
Efficient Multi-task Prompt Tuning for Recommendation	Aug 30, 2024	Multi-Task LearningRecommendation Systems	—Unverified
Efficient Tabular Data Preprocessing of ML Pipelines	Sep 23, 2024	CPUGPU	—Unverified
Efficient Thompson Sampling for Online Matrix-Factorization Recommendation	Dec 1, 2015	Collaborative FilteringRecommendation Systems	—Unverified
Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction	Aug 29, 2024	Click-Through Rate PredictionRecommendation Systems	—Unverified
e-Fold Cross-Validation for Recommender-System Evaluation	Dec 2, 2024	Recommendation Systems	—Unverified
Eigenvalue analogy for confidence estimation in item-based recommender systems	Aug 31, 2018	Collaborative FilteringRecommendation Systems	—Unverified
EILEEN: A recommendation system for scientific publications and grants	Oct 19, 2021	ArticlesLearning-To-Rank	—Unverified
Elastic deep autoencoder for text embedding clustering by an improved graph regularization	Sep 23, 2023	ClusteringDimensionality Reduction	—Unverified
ElasticRec: A Microservice-based Model Serving Architecture Enabling Elastic Resource Scaling for Recommendation Models	Jun 11, 2024	Recommendation Systems	—Unverified
EMA at SemEval-2018 Task 1: Emotion Mining for Arabic	Jun 1, 2018	Emotion ClassificationEmotion Recognition	—Unverified
Embedding-based Recommender System for Job to Candidate Matching on Scale	Jul 1, 2021	Recommendation SystemsRepresentation Learning	—Unverified
Embedding Cultural Diversity in Prototype-based Recommender Systems	Dec 18, 2024	AttributeDiversity	—Unverified
Embedding models for recommendation under contextual constraints	Jun 21, 2019	Recommendation SystemsRetrieval	—Unverified
Embedding Projector: Interactive Visualization and Interpretation of Embeddings	Nov 16, 2016	BIG-bench Machine LearningRecommendation Systems	—Unverified
Embedding Ranking-Oriented Recommender System Graphs	Jul 31, 2020	Recommendation Systems	—Unverified
Vague Preference Policy Learning for Conversational Recommendation	Jun 7, 2023	AttributeConversational Recommendation	—Unverified
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations	May 19, 2024	DecoderLanguage Modeling	—Unverified
Emerging Synergies Between Large Language Models and Machine Learning in Ecommerce Recommendations	Mar 5, 2024	Collaborative FilteringRecommendation Systems	—Unverified
EMERS: Energy Meter for Recommender Systems	Sep 23, 2024	Recommendation Systems	—Unverified
Emotion-Aware Music Recommendation System: Enhancing User Experience Through Real-Time Emotional Context	Nov 17, 2023	Music RecommendationRecommendation Systems	—Unverified
Emotion-based Recommender System	May 22, 2025	Recommendation Systems	—Unverified
EmoWordNet: Automatic Expansion of Emotion Lexicon Using English WordNet	Jun 1, 2018	Collaborative FilteringEmotion Classification	—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