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 4851–4900 of 6047 papers

Title	Date	Tasks	Status
Order Matters at Fanatics Recommending Sequentially Ordered Products by LSTM Embedded with Word2Vec	Nov 22, 2019	Recommendation Systems	—Unverified
Ordinal Graph Gamma Belief Network for Social Recommender Systems	Sep 12, 2022	Recommendation Systems	—Unverified
Or's of And's for Interpretable Classification, with Application to Context-Aware Recommender Systems	Apr 28, 2015	AttributeGeneral Classification	—Unverified
Overcoming Data Sparsity in Group Recommendation	Oct 2, 2020	Decision MakingGraph Embedding	—Unverified
Overhead-free User-side Recommender Systems	Nov 12, 2024	Recommendation Systems	—Unverified
Over-Squashing in Graph Neural Networks: A Comprehensive survey	Aug 29, 2023	Link PredictionNode Classification	—Unverified
Overview of the 2014 ALTA Shared Task: Identifying Expressions of Locations in Tweets	Nov 1, 2014	Recommendation Systems	—Unverified
Overview on NLP Techniques for Content-based Recommender Systems for Books	Sep 1, 2019	Recommendation Systems	—Unverified
P4GCN: Vertical Federated Social Recommendation with Privacy-Preserving Two-Party Graph Convolution Network	Oct 16, 2024	Privacy PreservingRecommendation Systems	—Unverified
Package equivalence in complex software network	Feb 11, 2016	Recommendation Systems	—Unverified
Pairwise Interactive Graph Attention Network for Context-Aware Recommendation	Nov 18, 2019	Graph AttentionRecommendation Systems	—Unverified
Pairwise Ranking Loss for Multi-Task Learning in Recommender Systems	Jun 4, 2024	Multi-Task LearningRecommendation Systems	—Unverified
PALR: Personalization Aware LLMs for Recommendation	May 12, 2023	Recommendation SystemsRetrieval	—Unverified
PANE-GNN: Unifying Positive and Negative Edges in Graph Neural Networks for Recommendation	Jun 7, 2023	DenoisingGraph Representation Learning	—Unverified
paper2repo: GitHub Repository Recommendation for Academic Papers	Apr 13, 2020	Recommendation Systems	—Unverified
Parallel and Mini-Batch Stable Matching for Large-Scale Reciprocal Recommender Systems	Nov 28, 2024	Recommendation Systems	—Unverified
Parallelized Training of Restricted Boltzmann Machines using Markov-Chain Monte Carlo Methods	Oct 14, 2019	Collaborative FilteringCPU	—Unverified
Parameter Convex Neural Networks	Jun 11, 2022	Graph AttentionRecommendation Systems	—Unverified
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs	Oct 16, 2024	Drug DiscoveryGraph Generation	—Unverified
Pareto-based Multi-Objective Recommender System with Forgetting Curve	Dec 28, 2023	Recommendation Systems	—Unverified
Pareto Pairwise Ranking for Fairness Enhancement of Recommender Systems	Dec 6, 2022	FairnessLearning-To-Rank	—Unverified
PARSE-Ego4D: Personal Action Recommendation Suggestions for Egocentric Videos	Jun 14, 2024	Language ModelingLanguage Modelling	—Unverified
ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers	Nov 26, 2018	Meta-LearningRecommendation Systems	—Unverified
ParsRec: Meta-Learning Recommendations for Bibliographic Reference Parsing	Aug 27, 2018	Meta-LearningRecommendation Systems	—Unverified
Partial Bandit and Semi-Bandit: Making the Most Out of Scarce Users' Feedback	Sep 16, 2020	Multi-Armed BanditsRecommendation Systems	—Unverified
Partially Observable Markov Decision Process for Recommender Systems	Aug 28, 2016	Recommendation Systems	—Unverified
Partial Relaxed Optimal Transport for Denoised Recommendation	Apr 19, 2022	DenoisingRecommendation Systems	—Unverified
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation	May 14, 2022	Collaborative FilteringPosition	—Unverified
PASTA: Pretrained Action-State Transformer Agents	Jul 20, 2023	Language ModelingLanguage Modelling	—Unverified
PASTO: Strategic Parameter Optimization in Recommendation Systems -- Probabilistic is Better than Deterministic	Aug 20, 2021	Recommendation Systems	—Unverified
Path-based Deep Network for Candidate Item Matching in Recommenders	May 18, 2021	DiversityRecommendation Systems	—Unverified
Patterns of Multistakeholder Recommendation	Jul 28, 2017	Recommendation Systems	—Unverified
Pattern-wise Transparent Sequential Recommendation	Feb 18, 2024	Decision MakingRecommendation Systems	—Unverified
PBNR: Prompt-based News Recommender System	Apr 16, 2023	ArticlesLanguage Modeling	—Unverified
PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems	Feb 26, 2025	Continual LearningMulti-Task Learning	—Unverified
PDC-FRS: Privacy-preserving Data Contribution for Federated Recommender System	Sep 12, 2024	Privacy PreservingRecommendation Systems	—Unverified
PD-ML-Lite: Private Distributed Machine Learning from Lighweight Cryptography	Jan 23, 2019	BIG-bench Machine LearningRecommendation Systems	—Unverified
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation	Dec 4, 2023	Recommendation Systems	—Unverified
PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation	Mar 23, 2022	Recommendation SystemsRe-Ranking	—Unverified
PEEK: A Large Dataset of Learner Engagement with Educational Videos	Sep 3, 2021	Recommendation Systems	—Unverified
PEPNet: Parameter and Embedding Personalized Network for Infusing with Personalized Prior Information	Feb 2, 2023	Recommendation Systems	—Unverified
PEPPER: Empowering User-Centric Recommender Systems over Gossip Learning	Aug 9, 2022	Federated LearningMovie Recommendation	—Unverified
Perceptron Collaborative Filtering	Jun 17, 2024	Collaborative FilteringRecommendation Systems	—Unverified
PerCoNet: News Recommendation with Explicit Persona and Contrastive Learning	Apr 17, 2023	Contrastive LearningNews Recommendation	—Unverified
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training	May 11, 2023	Federated LearningGraph Learning	—Unverified
Performance Comparison of Session-based Recommendation Algorithms based on GNNs	Dec 27, 2023	Recommendation SystemsSession-Based Recommendations	—Unverified
Performance-Driven QUBO for Recommender Systems on Quantum Annealers	Oct 20, 2024	counterfactualfeature selection	—Unverified
Performative Debias with Fair-exposure Optimization Driven by Strategic Agents in Recommender Systems	Jun 25, 2024	FairnessRecommendation Systems	—Unverified
Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering	Dec 30, 2020	ClusteringMeta-Learning	—Unverified
PERS: A Personalized and Explainable POI Recommender System	Dec 20, 2017	Explainable RecommendationRecommendation 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