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 801–850 of 6047 papers

Title	Date	Tasks	Status	Hype
Eco-Aware Graph Neural Networks for Sustainable Recommendations	Oct 12, 2024	Recommendation Systems	CodeCode Available	0
Dynamic Fusion Strategies for Federated Multimodal Recommendations	Oct 11, 2024	Multimodal RecommendationPrivacy Preserving	—Unverified	0
Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond	Oct 10, 2024	Large Language ModelRecommendation Systems	CodeCode Available	3
Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation	Oct 10, 2024	Knowledge GraphsRecommendation Systems	CodeCode Available	0
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation	Oct 10, 2024	cognitive diagnosisContrastive Learning	CodeCode Available	0
Post-Userist Recommender Systems : A Manifesto	Oct 9, 2024	Recommendation Systems	—Unverified	0
Learning Recommender Systems with Soft Target: A Decoupled Perspective	Oct 9, 2024	Recommendation Systems	CodeCode Available	0
ERCache: An Efficient and Reliable Caching Framework for Large-Scale User Representations in Meta's Ads System	Oct 9, 2024	Recommendation Systems	—Unverified	0
Multi-Behavioral Sequential Recommendation	Oct 8, 2024	Multibehavior RecommendationRecommendation Systems	CodeCode Available	1
CUPID: A Real-Time Session-Based Reciprocal Recommendation System for a One-on-One Social Discovery Platform	Oct 8, 2024	Recommendation Systems	—Unverified	0
A Case Study of Next Portfolio Prediction for Mutual Funds	Oct 8, 2024	Recommendation Systems	—Unverified	0
Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework	Oct 8, 2024	Recommendation Systems	—Unverified	0
Direct Preference Optimization for LLM-Enhanced Recommendation Systems	Oct 8, 2024	In-Context LearningInstruction Following	—Unverified	0
Improved Estimation of Ranks for Learning Item Recommenders with Negative Sampling	Oct 8, 2024	Recommendation Systems	—Unverified	0
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation	Oct 8, 2024	Decoderfeature selection	CodeCode Available	0
Information Discovery in e-Commerce	Oct 8, 2024	Information RetrievalKnowledge Graphs	—Unverified	0
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems	Oct 8, 2024	Multi-Task LearningRecommendation Systems	—Unverified	0
Correcting for Popularity Bias in Recommender Systems via Item Loss Equalization	Oct 7, 2024	Recommendation Systems	—Unverified	0
SkillMatch: Evaluating Self-supervised Learning of Skill Relatedness	Oct 7, 2024	Recommendation SystemsSelf-Supervised Learning	—Unverified	0
GLEE: A Unified Framework and Benchmark for Language-based Economic Environments	Oct 7, 2024	FairnessRecommendation Systems	CodeCode Available	0
Social Choice for Heterogeneous Fairness in Recommendation	Oct 6, 2024	FairnessRecommendation Systems	—Unverified	0
Toward Debugging Deep Reinforcement Learning Programs with RLExplorer	Oct 6, 2024	Deep Reinforcement LearningFault Diagnosis	—Unverified	0
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach	Oct 6, 2024	Graph Neural NetworkRecommendation Systems	CodeCode Available	0
Improving Portfolio Optimization Results with Bandit Networks	Oct 5, 2024	Portfolio OptimizationRecommendation Systems	CodeCode Available	0
EB-NeRD: A Large-Scale Dataset for News Recommendation	Oct 4, 2024	ArticlesNews Recommendation	—Unverified	0
Multi-modal clothing recommendation model based on large model and VAE enhancement	Oct 3, 2024	Language ModelingLanguage Modelling	—Unverified	0
Long-Sequence Recommendation Models Need Decoupled Embeddings	Oct 3, 2024	Recommendation Systems	CodeCode Available	1
Cognitive Biases in Large Language Models for News Recommendation	Oct 3, 2024	Data AugmentationMisinformation	—Unverified	0
Quantifying User Coherence: A Unified Framework for Cross-Domain Recommendation Analysis	Oct 3, 2024	DiversityRecommendation Systems	—Unverified	0
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security	Oct 3, 2024	Decision MakingFederated Learning	—Unverified	0
Price-guided user attention in large-scale E-commerce group recommendation	Oct 2, 2024	Decision MakingRecommendation Systems	—Unverified	0
Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation	Oct 2, 2024	Language ModelingLanguage Modelling	CodeCode Available	0
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis	Oct 2, 2024	Recommendation Systems	—Unverified	0
HRTF Estimation using a Score-based Prior	Oct 2, 2024	Recommendation Systems	—Unverified	0
Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders	Oct 2, 2024	Model SelectionNews Recommendation	CodeCode Available	2
ECORS: An Ensembled Clustering Approach to Eradicate The Local And Global Outlier In Collaborative Filtering Recommender System	Oct 1, 2024	ClusteringCollaborative Filtering	—Unverified	0
Explainable Multi-Stakeholder Job Recommender Systems	Oct 1, 2024	FairnessRecommendation Systems	—Unverified	0
Delving Deep into Engagement Prediction of Short Videos	Sep 30, 2024	PredictionRecommendation Systems	CodeCode Available	1
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation	Sep 30, 2024	AttributeCollaborative Filtering	CodeCode Available	2
Mixed-Precision Embeddings for Large-Scale Recommendation Models	Sep 30, 2024	QuantizationRecommendation Systems	—Unverified	0
Neural Click Models for Recommender Systems	Sep 30, 2024	Recommendation Systems	CodeCode Available	0
RecSys Challenge 2024: Balancing Accuracy and Editorial Values in News Recommendations	Sep 30, 2024	News RecommendationRecommendation Systems	—Unverified	0
Mitigating Propensity Bias of Large Language Models for Recommender Systems	Sep 30, 2024	counterfactualCounterfactual Inference	—Unverified	0
DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation	Sep 29, 2024	Recommendation Systems	—Unverified	0
Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models	Sep 29, 2024	Recommendation Systems	CodeCode Available	1
The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective	Sep 29, 2024	Recommendation Systems	—Unverified	0
Counterfactual Evaluation of Ads Ranking Models through Domain Adaptation	Sep 29, 2024	counterfactualDomain Adaptation	—Unverified	0
Disaggregating Embedding Recommendation Systems with FlexEMR	Sep 28, 2024	Recommendation Systems	—Unverified	0
CausalVE: Face Video Privacy Encryption via Causal Video Prediction	Sep 28, 2024	Face SwappingRecommendation Systems	—Unverified	0
An Efficient Multi-threaded Collaborative Filtering Approach in Recommendation System	Sep 28, 2024	Collaborative FilteringRecommendation 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	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