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 1201–1250 of 6047 papers

Title	Date	Tasks	Status
Addressing Item-Cold Start Problem in Recommendation Systems using Model Based Approach and Deep Learning	Jun 18, 2017	Recommendation Systems	—Unverified
Automating Gamification Personalization: To the User and Beyond	Jan 14, 2021	Recommendation Systems	—Unverified
Automatic Representation for Lifetime Value Recommender Systems	Feb 23, 2017	Recommendation SystemsReinforcement Learning	—Unverified
An Adaptive Boosting Technique to Mitigate Popularity Bias in Recommender System	Sep 13, 2021	Recommendation Systems	—Unverified
Automatic Metrics for Genre-specific Text Quality	Jun 1, 2012	Recommendation SystemsText Summarization	—Unverified
Automatic Generation of Social Tags for Music Recommendation	Dec 1, 2007	Music RecommendationRecommendation Systems	—Unverified
A challenge-based survey of e-recruitment recommendation systems	Sep 12, 2022	Collaborative FilteringRecommendation Systems	—Unverified
Automatic Generation of Related Work Sections in Scientific Papers: An Optimization Approach	Oct 1, 2014	Document SummarizationMulti-Document Summarization	—Unverified
Automatic Generation of Natural Language Explanations	Jul 4, 2017	NegationRecommendation Systems	—Unverified
A multi-theoretical kernel-based approach to social network-based recommendation	Dec 15, 2024	Collaborative FilteringRecommendation Systems	—Unverified
User Profile Feature-Based Approach to Address the Cold Start Problem in Collaborative Filtering for Personalized Movie Recommendation	Jun 2, 2019	Collaborative FilteringMovie Recommendation	—Unverified
Crank up the volume: preference bias amplification in collaborative recommendation	Sep 13, 2019	Recommendation Systems	—Unverified
CR-GIS: Improving Conversational Recommendation via Goal-aware Interest Sequence Modeling	Oct 1, 2022	Conversational RecommendationRecommendation Systems	—Unverified
Cross-Batch Negative Sampling for Training Two-Tower Recommenders	Oct 28, 2021	Recommendation SystemsVocal Bursts Valence Prediction	—Unverified
A Multi-Task Learning Algorithm for Non-personalized Recommendations	Sep 29, 2021	Collaborative FilteringMulti-Task Learning	—Unverified
Automatic Extraction of News Values from Headline Text	Apr 1, 2017	ArticlesKeyword Spotting	—Unverified
Multi-FR: A Multi-objective Optimization Framework for Multi-stakeholder Fairness-aware Recommendation	May 6, 2021	FairnessRecommendation Systems	—Unverified
Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques	Sep 24, 2020	Recommendation SystemsSentiment Analysis	—Unverified
Automatic Detection of Intro and Credits in Video using CLIP and Multihead Attention	Apr 13, 2025	CPUHighlight Detection	—Unverified
MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph	Aug 3, 2024	AttributeContrastive Learning	—Unverified
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data	Mar 8, 2023	Binary ClassificationRecommendation Systems	—Unverified
Automatic Collection Creation and Recommendation	May 3, 2021	ClusteringDimensionality Reduction	—Unverified
A Multi-Objective Learning to re-Rank Approach to Optimize Online Marketplaces for Multiple Stakeholders	Aug 2, 2017	Recommendation Systems	—Unverified
Automated Similarity Metric Generation for Recommendation	Apr 18, 2024	Recommendation Systems	—Unverified
Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search	Feb 21, 2025	In-Context LearningInformation Retrieval	—Unverified
Addressing Cold-start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling	Mar 1, 2025	Click-Through Rate PredictionRecommendation Systems	—Unverified
ACE: A Cardinality Estimator for Set-Valued Queries	Mar 19, 2025	Information RetrievalRecommendation Systems	—Unverified
Coupling Learning of Complex Interactions	Jul 1, 2020	ClusteringRecommendation Systems	—Unverified
Automated Prompting for Non-overlapping Cross-domain Sequential Recommendation	Apr 9, 2023	Prompt LearningRecommendation Systems	—Unverified
A Comprehensive Survey on Automated Machine Learning for Recommendations	Apr 4, 2022	AutoMLBIG-bench Machine Learning	—Unverified
Addressing Cold Start in Recommender Systems with Hierarchical Graph Neural Networks	Sep 7, 2020	Graph Neural NetworkRecommendation Systems	—Unverified
Automated Data Denoising for Recommendation	May 11, 2023	DenoisingRecommendation Systems	—Unverified
A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce	Jun 28, 2018	Recommendation SystemsTransfer Learning	—Unverified
Addressing Bias in Visualization Recommenders by Identifying Trends in Training Data: Improving VizML Through a Statistical Analysis of the Plotly Community Feed	Mar 9, 2022	BIG-bench Machine LearningRecommendation Systems	—Unverified
AutoLoss: Automated Loss Function Search in Recommendations	Jun 12, 2021	Recommendation Systems	—Unverified
AutoLike: Auditing Social Media Recommendations through User Interactions	Feb 13, 2025	Recommendation Systems	—Unverified
A Multi-modal Personality Prediction System	Dec 1, 2020	Personality Trait Recognition by FacePrediction	—Unverified
AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction	Jun 9, 2021	Click-Through Rate PredictionRecommendation Systems	—Unverified
A Multi-Modal Latent-Features based Service Recommendation System for the Social Internet of Things	Jun 1, 2023	Recommendation Systems	—Unverified
Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users	Aug 4, 2024	Recommendation SystemsTransfer Learning	—Unverified
Cover Filtration and Stable Paths in the Mapper	Sep 25, 2019	BIG-bench Machine LearningRecommendation Systems	—Unverified
A multimedia recommendation model based on collaborative graph	May 30, 2022	Graph Neural Networkmodel	—Unverified
AutoFAS: Automatic Feature and Architecture Selection for Pre-Ranking System	May 19, 2022	Information RetrievalNeural Architecture Search	—Unverified
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios	Jun 24, 2017	Knowledge GraphsRecommendation Systems	—Unverified
A multi-level collaborative filtering method that improves recommendations	Apr 24, 2018	Collaborative FilteringDecision Making	—Unverified
Addressing bias in Recommender Systems: A Case Study on Data Debiasing Techniques in Mobile Games	Nov 27, 2024	Recommendation Systems	—Unverified
AutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations	Feb 26, 2020	AutoMLRecommendation Systems	—Unverified
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation	Oct 10, 2023	AttributeLanguage Modeling	—Unverified
Addressing Annotation Complexity: The Case of Annotating Ideological Perspective in Egyptian Social Media	Aug 1, 2016	Recommendation Systems	—Unverified
Auto-detecting groups based on textual similarity for group recommendations	Jul 15, 2021	Decision MakingRecommendation Systems	—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