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 5301–5350 of 6047 papers

Title	Date	Tasks	Status
Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems	May 20, 2024	Recommendation Systems	—Unverified
Diversifying Database Activity Monitoring with Bandits	Oct 23, 2019	DiversityEvent Detection	—Unverified
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation	Apr 9, 2025	Data PoisoningDiversity	—Unverified
Diversity-Aware k-Maximum Inner Product Search Revisited	Feb 21, 2024	DiversityRecommendation Systems	—Unverified
Diversity in the Music Listening Experience: Insights from Focus Group Interviews	Jan 25, 2022	DiversityMusic Recommendation	—Unverified
Diversity of What? On the Different Conceptualizations of Diversity in Recommender Systems	May 3, 2024	DiversityRecommendation Systems	—Unverified
Diversity Preference-Aware Link Recommendation for Online Social Networks	May 21, 2022	DiversityRecommendation Systems	—Unverified
Diversity-Promoting Deep Reinforcement Learning for Interactive Recommendation	Mar 19, 2019	Deep Reinforcement LearningDiversity	—Unverified
Diversity Regularized Interests Modeling for Recommender Systems	Mar 23, 2021	DiversityRecommendation Systems	—Unverified
Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems From a Multi-task Perspective	Feb 6, 2023	FairnessRecommendation Systems	—Unverified
DJ-MC: A Reinforcement-Learning Agent for Music Playlist Recommendation	Jan 9, 2014	Music RecommendationRecommendation Systems	—Unverified
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets	Jan 21, 2019	Recommendation SystemsRepresentation Learning	—Unverified
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks	Nov 5, 2024	Graph Neural NetworkRecommendation Systems	—Unverified
Do Better ImageNet Models Transfer Better... for Image Recommendation?	Jul 25, 2018	Recommendation SystemsTransfer Learning	—Unverified
Docent: A content-based recommendation system to discover contemporary art	Jul 12, 2022	Recommendation Systems	—Unverified
Recommendation with Attribute-aware Product Networks: A Representation Learning Model	Aug 16, 2019	AttributeRecommendation Systems	—Unverified
Document-based Recommender System for Job Postings using Dense Representations	Jun 1, 2018	Document EmbeddingRecommendation Systems	—Unverified
Document Embeddings vs. Keyphrases vs. Terms: An Online Evaluation in Digital Library Recommender Systems	May 27, 2019	Recommendation Systems	—Unverified
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis	Oct 2, 2024	Recommendation Systems	—Unverified
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications	Feb 27, 2024	Recommendation Systems	—Unverified
Doing Data Right: How Lessons Learned Working with Conventional Data should Inform the Future of Synthetic Data for Recommender Systems	Oct 7, 2021	Recommendation Systems	—Unverified
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer	Jan 16, 2022	Graph AttentionMeta-Learning	—Unverified
Do KG-augmented Models Leverage Knowledge as Humans Do?	Jan 17, 2022	Knowledge GraphsQuestion Answering	—Unverified
Domain-Aware Cross-Attention for Cross-domain Recommendation	Jan 22, 2024	Recommendation Systems	—Unverified
Domain-to-Domain Translation Model for Recommender System	Dec 15, 2018	modelMulti-Domain Recommender Systems	—Unverified
Do Not Wait: Learning Re-Ranking Model Without User Feedback At Serving Time in E-Commerce	Jun 20, 2024	Recommendation SystemsRe-Ranking	—Unverified
Don’t Burst Blindly: For a Better Use of Natural Language Processing to Fight Opinion Bubbles in News Recommendations	Jun 1, 2022	DiversityNews Recommendation	—Unverified
Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network	Dec 25, 2024	Multimodal RecommendationRecommendation Systems	—Unverified
Don't Treat the Symptom, Find the Cause! Efficient Artificial-Intelligence Methods for (Interactive) Debugging	Jun 22, 2023	Decision MakingDecision Making Under Uncertainty	—Unverified
DOR: A Novel Dual-Observation-Based Approach for News Recommendation Systems	Feb 2, 2023	News RecommendationRecommendation Systems	—Unverified
Do recommender systems function in the health domain: a system review	Jul 26, 2020	Collaborative FilteringDecision Making	—Unverified
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?	Apr 5, 2024	Question AnsweringRecommendation Systems	—Unverified
DotMat: Solving Cold-start Problem and Alleviating Sparsity Problem for Recommender Systems	May 31, 2022	Recommendation Systems	—Unverified
Double-Wing Mixture of Experts for Streaming Recommendations	Sep 14, 2020	Ensemble LearningMixture-of-Experts	—Unverified
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations	Mar 19, 2022	ImputationRecommendation Systems	—Unverified
Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random	Jun 1, 2019	ImputationPrediction	—Unverified
Do you MIND? Reflections on the MIND dataset for research on diversity in news recommendations	Apr 17, 2023	DiversityRecommendation Systems	—Unverified
DRDT: Dynamic Reflection with Divergent Thinking for LLM-based Sequential Recommendation	Dec 18, 2023	In-Context LearningRecommendation Systems	—Unverified
DREAM: A Dynamic Relational-Aware Model for Social Recommendation	Aug 11, 2020	Recommendation SystemsRelation	—Unverified
Dreaming User Multimodal Representation Guided by The Platonic Representation Hypothesis for Micro-Video Recommendation	Sep 15, 2024	Recommendation Systems	—Unverified
DRE: Generating Recommendation Explanations by Aligning Large Language Models at Data-level	Apr 9, 2024	Recommendation Systems	—Unverified
DRIFT: A Federated Recommender System with Implicit Feedback on the Items	Apr 17, 2023	Recommendation Systems	—Unverified
Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems	Sep 4, 2023	Anomaly DetectionDrift Detection	—Unverified
Drug Recommendation System based on Sentiment Analysis of Drug Reviews using Machine Learning	Mar 24, 2021	BIG-bench Machine LearningRecommendation Systems	—Unverified
DS-FACTO: Doubly Separable Factorization Machines	Apr 29, 2020	Recommendation SystemsStochastic Optimization	—Unverified
DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation	Aug 21, 2024	Feature ImportanceMulti-Task Learning	—Unverified
Dual Adversarial Perturbators Generate rich Views for Recommendation	Aug 26, 2024	Contrastive LearningGraph Learning	—Unverified
Dual Channel Hypergraph Collaborative Filtering	Aug 27, 2020	Collaborative FilteringRecommendation Systems	—Unverified
Dual-Channel Latent Factor Analysis Enhanced Graph Contrastive Learning for Recommendation	Aug 9, 2024	Contrastive LearningRecommendation Systems	—Unverified
Dual-Channel Multiplex Graph Neural Networks for Recommendation	Mar 18, 2024	Graph Neural NetworkRecommendation Systems	—Unverified

Show:10 25 50

← PrevPage 107 of 121Next →

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