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 4001–4050 of 6047 papers

Title	Date	Tasks	Status
Inferring Substitutable and Complementary Products with Knowledge-Aware Path Reasoning based on Dynamic Policy Network	Oct 7, 2021	Decision MakingKnowledge Graphs	—Unverified
Inferring users' preferences through leveraging their social relationships	Nov 28, 2017	Recommendation Systems	—Unverified
Infinite Mixed Membership Matrix Factorization	Jan 15, 2014	Recommendation Systems	—Unverified
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems	Feb 19, 2020	Data PoisoningRecommendation Systems	—Unverified
Influencing Bandits: Arm Selection for Preference Shaping	Feb 29, 2024	Recommendation SystemsThompson Sampling	—Unverified
Influential Recommender System	Nov 18, 2022	Recommendation Systems	—Unverified
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization	Jan 23, 2024	Learning-To-RankRecommendation Systems	—Unverified
Information Cocoons in Online Navigation	Sep 14, 2021	Recommendation SystemsRetrieval	—Unverified
Information Discovery in e-Commerce	Oct 8, 2024	Information RetrievalKnowledge Graphs	—Unverified
Information Foraging for Enhancing Implicit Feedback in Content-based Image Recommendation	Jan 19, 2020	Recommendation Systems	—Unverified
Error in the Euclidean Preference Model	Aug 17, 2022	modelRecommendation Systems	—Unverified
Persuasion and Welfare	Sep 7, 2021	Recommendation Systems	—Unverified
Informative Robust Causal Representation for Generalizable Deep Learning	Sep 29, 2021	counterfactualDeep Learning	—Unverified
Infusing Collaborative Recommenders with Distributed Representations	Aug 22, 2016	Recommendation Systems	—Unverified
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems	Jun 9, 2021	Recommendation Systems	—Unverified
Multi-Tenant SmartNICs for In-Network Preprocessing of Recommender Systems	Jan 21, 2025	CPURecommendation Systems	—Unverified
In-processing User Constrained Dominant Sets for User-Oriented Fairness in Recommender Systems	Sep 4, 2023	FairnessRecommendation Systems	—Unverified
Insight-centric Visualization Recommendation	Mar 21, 2021	AttributeRecommendation Systems	—Unverified
Instance-Optimality in the Noisy Value-and Comparison-Model --- Accept, Accept, Strong Accept: Which Papers get in?	Jun 21, 2018	Recommendation Systems	—Unverified
Integrating Item Relevance in Training Loss for Sequential Recommender Systems	May 18, 2023	Recommendation Systems	—Unverified
Integrating Large Language Models with Graphical Session-Based Recommendation	Feb 26, 2024	Natural Language UnderstandingRecommendation Systems	—Unverified
Integrating Topic Models and Latent Factors for Recommendation	Oct 28, 2016	Collaborative FilteringRecommendation Systems	—Unverified
Integrating User and Item Reviews in Deep Cooperative Neural Networks for Movie Recommendation	May 12, 2022	Movie RecommendationRecommendation Systems	—Unverified
Intelligent Classification and Personalized Recommendation of E-commerce Products Based on Machine Learning	Mar 28, 2024	Recommendation Systems	—Unverified
Intelligent Decision Support System for Updating Control Plans	Jun 15, 2020	Decision MakingRecommendation Systems	—Unverified
Intelligent Request Strategy Design in Recommender System	Jun 23, 2022	Causal Inferencecounterfactual	—Unverified
Intelligent Vector-based Customer Segmentation in the Banking Industry	Dec 22, 2020	ClusteringFeature Engineering	—Unverified
Intent-Aware Contextual Recommendation System	Nov 28, 2017	Recommendation Systems	—Unverified
Intent-aware Multi-source Contrastive Alignment for Tag-enhanced Recommendation	Nov 11, 2022	Decision MakingRecommendation Systems	—Unverified
Intent-aware Recommendation via Disentangled Graph Contrastive Learning	Mar 6, 2024	Contrastive LearningGraph Neural Network	—Unverified
Intent Disentanglement and Feature Self-supervision for Novel Recommendation	Jun 28, 2021	DisentanglementRecommendation Systems	—Unverified
Intent-Interest Disentanglement and Item-Aware Intent Contrastive Learning for Sequential Recommendation	Jan 13, 2025	Contrastive LearningDisentanglement	—Unverified
Intent Recognition in Conversational Recommender Systems	Dec 6, 2022	ChatbotFeature Engineering	—Unverified
IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning	Jul 25, 2024	Multi-Task LearningRecommendation Systems	—Unverified
Interact2Vec -- An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems	Jun 27, 2025	Efficient Neural NetworkRecommendation Systems	—Unverified
Interaction-level Membership Inference Attack Against Federated Recommender Systems	Jan 26, 2023	AttributeFederated Learning	—Unverified
Concentrated Differential Privacy for Bandits	Sep 1, 2023	Multi-Armed BanditsRecommendation Systems	—Unverified
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems	Sep 10, 2024	counterfactualFairness	—Unverified
Interactive Explanation with Varying Level of Details in an Explainable Scientific Literature Recommender System	Jun 9, 2023	Explainable RecommendationRecommendation Systems	—Unverified
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data	Jul 29, 2020	Graph Neural NetworkRecommendation Systems	—Unverified
Interactive Graph Convolutional Filtering	Sep 4, 2023	Collaborative FilteringMeta-Learning	—Unverified
Interactive Learning with Pricing for Optimal and Stable Allocations in Markets	Dec 13, 2022	Collaborative FilteringRecommendation Systems	—Unverified
Interactive Path Reasoning on Graph for Conversational Recommendation	Jul 1, 2020	AttributeConversational Recommendation	—Unverified
Interactive Recommendations for Optimal Allocations in Markets with Constraints	Jul 8, 2022	Collaborative FilteringRecommendation Systems	—Unverified
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning	Jun 18, 2020	Decision MakingRecommendation Systems	—Unverified
Interactive Search Based on Deep Reinforcement Learning	Dec 9, 2020	ClusteringDecision Making	—Unverified
InteraRec: Screenshot Based Recommendations Using Multimodal Large Language Models	Feb 26, 2024	Collaborative FilteringInteractive Recommendation	—Unverified
Interest-based Item Representation Framework for Recommendation with Multi-Interests Capsule Network	Sep 29, 2021	Recommendation SystemsRepresentation Learning	—Unverified
Interest Changes: Considering User Interest Life Cycle in Recommendation System	May 13, 2025	Recommendation Systems	—Unverified
Interest Clock: Time Perception in Real-Time Streaming Recommendation System	Apr 30, 2024	Recommendation 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