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A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4_18openalex-snapshot
Fairness in Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-030-86797-3_7openalex-snapshot
Managing Bias in Machine Learning Projects
inferredcites →https://doi.org/10.1007/978-3-030-93736-2_41openalex-snapshot
Algorithmic Factors Influencing Bias in Machine Learning
inferredcites →https://doi.org/10.1007/978-3-030-95391-1_8openalex-snapshot
INGCF: An Improved Recommendation Algorithm Based on NGCF
inferredcites →https://doi.org/10.1007/978-3-030-99736-6_43openalex-snapshot
Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness
inferredcites →https://doi.org/10.1007/978-3-031-07012-9_37openalex-snapshot
Popularity Bias in Recommender Systems - A Review
inferredcites →https://doi.org/10.1007/978-3-031-09316-6_1openalex-snapshot
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-031-09316-6_7openalex-snapshot
The Unfairness of Popularity Bias in Book Recommendation
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_9openalex-snapshot
Collaborative Filtering Recommender Systems
inferredcites →https://doi.org/10.1007/s00146-020-00950-yopenalex-snapshot
Recommender Systems and their Ethical Challenges
inferredcites →https://doi.org/10.1007/s00521-022-07373-4openalex-snapshot
Mitigating sensitive data exposure with adversarial learning for fairness recommendation systems
inferredcites →https://doi.org/10.1007/s10489-022-03718-7openalex-snapshot
Long-tail session-based recommendation from calibration
inferredcites →https://doi.org/10.1007/s10676-013-9321-6openalex-snapshot
Bias in algorithmic filtering and personalization
inferredcites →https://doi.org/10.1007/s10844-023-00827-8openalex-snapshot
Exploring and mitigating gender bias in book recommender systems with explicit feedback
inferredcites →https://doi.org/10.1007/s11036-021-01869-4openalex-snapshot
A General Matrix Factorization Framework for Recommender Systems in Multi-access Edge Computing Network
inferredcites →https://doi.org/10.1007/s13735-019-00169-8openalex-snapshot
Order, context and popularity bias in next-song recommendations
inferredcites →https://doi.org/10.1007/s40009-021-01051-0openalex-snapshot
Movie Recommender System Using K-Nearest Neighbors Variants
inferredcites →https://doi.org/10.1016/j.aiopen.2021.01.001openalex-snapshot
Graph neural networks: A review of methods and applications
inferredcites →https://doi.org/10.1016/j.im.2014.09.001openalex-snapshot
Experimental evaluation of sequential bias in online customer reviews
inferredcites →https://doi.org/10.1016/j.ins.2018.04.004openalex-snapshot
Conformal matrix factorization based recommender system
inferredcites →https://doi.org/10.1016/j.ipm.2020.102387openalex-snapshot
Connecting user and item perspectives in popularity debiasing for collaborative recommendation
inferredcites →https://doi.org/10.1016/j.ipm.2021.102646openalex-snapshot
Fairness metrics and bias mitigation strategies for rating predictions
inferredcites →https://doi.org/10.1016/j.jbusres.2022.01.083openalex-snapshot
Algorithmic bias in machine learning-based marketing models
inferredcites →https://doi.org/10.1016/j.knosys.2022.109973openalex-snapshot
Supervised contrastive learning for recommendation
inferredcites →https://doi.org/10.1016/j.neucom.2021.03.053openalex-snapshot
Knowledge Graph enhanced Neural Collaborative Filtering with Residual Recurrent Network
inferredcites →https://doi.org/10.1016/j.patter.2022.100568openalex-snapshot
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics
inferredcites →https://doi.org/10.1038/s41598-018-34203-2openalex-snapshot
How algorithmic popularity bias hinders or promotes quality
inferredcites →https://doi.org/10.1080/0960085x.2021.1927212openalex-snapshot
Algorithmic bias: review, synthesis, and future research directions
inferredcites →https://doi.org/10.1088/1757-899x/1071/1/012021openalex-snapshot
Neural Collaborative For Music Recommendation System
inferredcites →https://doi.org/10.1109/access.2018.2880197openalex-snapshot
A Survey of Recommender Systems Based on Deep Learning
inferredcites →https://doi.org/10.1109/iaeac50856.2021.9390866openalex-snapshot
Deep Matrix Factorization for Cross-Domain Recommendation
inferredcites →https://doi.org/10.1109/icde48307.2020.00203openalex-snapshot
An Intersectional Definition of Fairness
inferredcites →https://doi.org/10.1109/icde53745.2022.00271openalex-snapshot
BA-GNN: On Learning Bias-Aware Graph Neural Network
inferredcites →https://doi.org/10.1109/msp.2017.2693418openalex-snapshot
Geometric Deep Learning: Going beyond Euclidean data
inferredcites →https://doi.org/10.1109/tii.2019.2893714openalex-snapshot
Deep Matrix Factorization With Implicit Feedback Embedding for Recommendation System
inferredcites →https://doi.org/10.1109/tmm.2021.3126146openalex-snapshot
Multisample-Based Contrastive Loss for Top-K Recommendation
inferredcites →https://doi.org/10.1109/tnnls.2022.3156066openalex-snapshot
Causal Incremental Graph Convolution for Recommender System Retraining
inferredcites →https://doi.org/10.1145/2908131.2908135openalex-snapshot
Data and algorithmic bias in the web
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3132847.3133083openalex-snapshot
A Neural Collaborative Filtering Model with Interaction-based Neighborhood
inferredcites →https://doi.org/10.1145/3158369openalex-snapshot
Facial Expression Analysis under Partial Occlusion
inferredcites →https://doi.org/10.1145/3308560.3317303openalex-snapshot
Debiasing the Human-Recommender System Feedback Loop in Collaborative Filtering
inferredcites →https://doi.org/10.1145/3383313.3418487openalex-snapshot
The Connection Between Popularity Bias, Calibration, and Fairness in Recommendation
inferredcites →https://doi.org/10.1145/3404835.3462862openalex-snapshot
Self-supervised Graph Learning for Recommendation
inferredcites →https://doi.org/10.1145/3437963.3441665openalex-snapshot
Advances in Bias-aware Recommendation on the Web
inferredcites →https://doi.org/10.1145/3437963.3441752openalex-snapshot
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
inferredcites →https://doi.org/10.1145/3442381.3449904openalex-snapshot
Debiasing Career Recommendations with Neural Fair Collaborative Filtering
inferredcites →https://doi.org/10.1145/3457607openalex-snapshot
A Survey on Bias and Fairness in Machine Learning
inferredcites →https://doi.org/10.1145/3470948openalex-snapshot
A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems
inferredcites →https://doi.org/10.1145/3477495.3532005openalex-snapshot
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering
inferredcites →https://doi.org/10.1145/3485447.3512173openalex-snapshot
EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks
inferredcites →https://doi.org/10.1145/3487553.3524674openalex-snapshot
Towards Analyzing the Bias of News Recommender Systems Using Sentiment and Stance Detection
inferredcites →https://doi.org/10.1145/3488560.3501396openalex-snapshot
Graph Neural Networks for Recommender System
inferredcites →https://doi.org/10.1145/3511808.3557423openalex-snapshot
Quantifying and Mitigating Popularity Bias in Conversational Recommender Systems
inferredcites →https://doi.org/10.1145/3511808.3557576openalex-snapshot
Debiasing Neighbor Aggregation for Graph Neural Network in Recommender Systems
inferredcites →https://doi.org/10.1145/3512728openalex-snapshot
Recommender systems under European AI regulations
inferredcites →https://doi.org/10.1145/3523227.3551481openalex-snapshot
Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation
inferredcites →https://doi.org/10.1145/3531146.3533079openalex-snapshot
Providing Item-side Individual Fairness for Deep Recommender Systems
inferredcites →https://doi.org/10.1145/3534678.3539319openalex-snapshot
On Structural Explanation of Bias in Graph Neural Networks
inferredcites →https://doi.org/10.1145/3535101openalex-snapshot
Graph Neural Networks in Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3564284openalex-snapshot
Bias and Debias in Recommender System: A Survey and Future Directions
inferredcites →https://doi.org/10.1145/3594871openalex-snapshot
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System
inferredcites →https://doi.org/10.1145/963770.963776openalex-snapshot
Item-based top- N recommendation algorithms
inferredcites →https://doi.org/10.14569/ijacsa.2021.0120367openalex-snapshot
Evaluation of Collaborative Filtering for Recommender Systems
inferredcites →https://doi.org/10.1609/aaai.v35i5.16582openalex-snapshot
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field
inferredcites →https://doi.org/10.1609/icwsm.v15i1.18111openalex-snapshot
Fair Representation Learning for Heterogeneous Information Networks
inferredcites →https://doi.org/10.1609/icwsm.v16i1.19284openalex-snapshot
Exposure Inequality in People Recommender Systems: The Long-Term Effects
inferredcites →https://doi.org/10.2139/ssrn.4064091openalex-snapshot
capAI - A Procedure for Conducting Conformity Assessment of AI Systems in Line with the EU Artificial Intelligence Act
inferredcites →https://doi.org/10.24963/ijcai.2017/447openalex-snapshot
Deep Matrix Factorization Models for Recommender Systems
inferredcites →https://doi.org/10.24963/ijcai.2019/456openalex-snapshot
Fairwalk: Towards Fair Graph Embedding
inferredcites →https://doi.org/10.24963/ijcai.2021/630openalex-snapshot
Graph Learning based Recommender Systems: A Review
inferredcites →https://doi.org/10.24963/ijcai.2022/787openalex-snapshot
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
inferredcites →https://doi.org/10.3389/fdata.2019.00013openalex-snapshot
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
inferredcites →https://doi.org/10.48550/arxiv.1901.07555openalex-snapshot
Managing Popularity Bias in Recommender Systems with Personalized Re-ranking
inferredcites →https://doi.org/10.48550/arxiv.1909.01866openalex-snapshot
Understanding Bias in Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.2002.02126openalex-snapshot
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2009.01715openalex-snapshot
Exploring Artist Gender Bias in Music Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2112.02530openalex-snapshot
Exploring and Mitigating Gender Bias in Recommender Systems with Explicit Feedback
inferredcites →https://doi.org/10.48550/arxiv.2201.11706openalex-snapshot
A Systematic Study of Bias Amplification
inferredcites →https://doi.org/10.57702/vtoeyrgropenalex-snapshot
Graph learning based recommender systems: A review
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/widm.70020openalex-snapshot
A Survey on Causal Inference‐Driven Data Bias Optimization in Recommendation Systems: Principles, Opportunities and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-031-70415-4_22openalex-snapshot
Measuring Fairness in AI Explanations with LEADR: Local Explanation Amplification Disparity Ratio
inferred← citeshttps://doi.org/10.1007/s44163-025-00432-4openalex-snapshot
AI ethics in banking services: a systematic and bibliometric review of regulatory and consumer perspectives
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.111340openalex-snapshot
Joint item recommendation and trust prediction with graph neural networks
inferred← citeshttps://doi.org/10.1109/access.2023.3323353openalex-snapshot
Deep Learning-Based Recommendation System: Systematic Review and Classification
inferred← citeshttps://doi.org/10.1109/access.2024.3416962openalex-snapshot
Analysis of Recommender System Using Generative Artificial Intelligence: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1109/access.2024.3514306openalex-snapshot
The Talent Cultivation Model of Study Travel Majors in Universities Based on the Internet of Things and Deep Learning
inferred← citeshttps://doi.org/10.1109/icaiss58487.2023.10250672openalex-snapshot
Knowledge Graph-based Recommendation Engine: The Review
inferred← citeshttps://doi.org/10.1109/icdsca59871.2023.10393664openalex-snapshot
A Heterogeneous Graph Neural Network Model for Electric Vehicle Purchase Propensity Prediction
inferred← citeshttps://doi.org/10.1109/peeic59336.2023.10450644openalex-snapshot
Enhancing Recommender Systems Using Deep Collaborative Filtering with Graph Neural Networks
inferred← citeshttps://doi.org/10.1109/tcsvt.2025.3641900openalex-snapshot
DRFusionRec: Enhancing Rationality and Diversity in Garment Recommendations
inferred← citeshttps://doi.org/10.1109/wi-iat67162.2025.00048openalex-snapshot
Assessing the Interplay of Counteracting Biases in GNN-Based Recommender Systems
inferred← citeshttps://doi.org/10.1145/3603163.3609041openalex-snapshot
Effects of the spiral of silence on minority groups in recommender systems
inferred← citeshttps://doi.org/10.1145/3641291openalex-snapshot
Mitigating Exposure Bias in Recommender Systems—A Comparative Analysis of Discrete Choice Models
inferred← citeshttps://doi.org/10.1145/3849704openalex-snapshot
The Taming of the Bias: Measuring and Mitigating Category-Aware Gender Bias in Recommendations
inferred← citeshttps://doi.org/10.3389/fdata.2023.1251072openalex-snapshot
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks
inferred← citeshttps://doi.org/10.3390/a19090735openalex-snapshot
Beyond Model Complexity: A Reproducible Comparison of Classical Machine Learning, Matrix Factorization, Graph Embeddings, and LightGCN for Recommendation
inferred← citeshttps://doi.org/10.3390/app122412863openalex-snapshot
Multi-Level Knowledge-Aware Contrastive Learning Network for Personalized Recipe Recommendation
inferred← citeshttps://doi.org/10.3390/fi17100461openalex-snapshot
Measuring Inter-Bias Effects and Fairness-Accuracy Trade-Offs in GNN-Based Recommender Systems
inferred← citeshttps://doi.org/10.3390/info14020131openalex-snapshot
Bias Assessment Approaches for Addressing User-Centered Fairness in GNN-Based Recommender Systems
inferred← citeshttps://doi.org/10.3390/info15030138openalex-snapshot
Social Network Community Detection to Deal with Gray-Sheep and Cold-Start Problems in Music Recommender Systems
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