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ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1097-4571(199401)45:1<12::aid-asi2>3.0.co;2-lopenalex-snapshot
The relationship between Recall and Precision
inferredcites →https://doi.org/10.1007/978-0-387-85820-3_4openalex-snapshot
A Comprehensive Survey of Neighborhood-based Recommendation Methods
inferredcites →https://doi.org/10.1007/978-1-4471-4555-4_12openalex-snapshot
Privacy in Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-4471-4778-7_8openalex-snapshot
Evaluating Recommender Systems for Supportive Technologies
inferredcites →https://doi.org/10.1007/978-1-4899-7637-6_19openalex-snapshot
Privacy Aspects of Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-642-00296-0openalex-snapshot
Noise Reduction in Speech Processing
inferredcites →https://doi.org/10.1016/j.eswa.2011.11.037openalex-snapshot
The impact of data obfuscation on the accuracy of collaborative filtering
inferredcites →https://doi.org/10.1016/j.knosys.2022.108441openalex-snapshot
Federated Neural Collaborative Filtering
inferredcites →https://doi.org/10.1080/01621459.1965.10480775openalex-snapshot
Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
inferredcites →https://doi.org/10.1109/4236.968832openalex-snapshot
Privacy risks in recommender systems
inferredcites →https://doi.org/10.1109/jiot.2021.3051060openalex-snapshot
A Privacy-Preserving Optimization of Neighborhood-Based Recommendation for Medical-Aided Diagnosis and Treatment
inferredcites →https://doi.org/10.1109/tdsc.2016.2631533openalex-snapshot
Privacy-Preserving Friendship-Based Recommender Systems
inferredcites →https://doi.org/10.1145/1870096.1870102openalex-snapshot
A Framework for Computing the Privacy Scores of Users in Online Social Networks
inferredcites →https://doi.org/10.1145/2151163.2151166openalex-snapshot
Impact of data characteristics on recommender systems performance
inferredcites →https://doi.org/10.1145/2508037.2508048openalex-snapshot
Reliable medical recommendation systems with patient privacy
inferredcites →https://doi.org/10.1145/3394138openalex-snapshot
Practical Privacy Preserving POI Recommendation
inferredcites →https://doi.org/10.1145/3406109openalex-snapshot
Fine-Grained Privacy Detection with Graph-Regularized Hierarchical Attentive Representation Learning
inferredcites →https://doi.org/10.1145/3434185openalex-snapshot
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
inferredcites →https://doi.org/10.1145/3501812openalex-snapshot
Efficient Federated Matrix Factorization Against Inference Attacks
inferredcites →https://doi.org/10.1145/3506715openalex-snapshot
FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data
inferredcites →https://doi.org/10.1145/3510032openalex-snapshot
GRNN: Generative Regression Neural Network—A Data Leakage Attack for Federated Learning
inferredcites →https://doi.org/10.1145/582415.582418openalex-snapshot
Cumulated gain-based evaluation of IR techniques
inferredcites →https://doi.org/10.1145/963770.963772openalex-snapshot
Evaluating collaborative filtering recommender systems
inferredcites →https://doi.org/10.1561/0400000042openalex-snapshot
The Algorithmic Foundations of Differential Privacy
inferredcites →https://doi.org/10.2307/1164825openalex-snapshot
Applied Statistics for the Behavioral Sciences
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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User Privacy in Recommender Systems
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The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
inferred← citeshttps://doi.org/10.1007/978-3-031-65175-5_25openalex-snapshot
Hiding Your Awful Online Choices Made More Efficient and Secure: A New Privacy-Aware Recommender System
inferred← citeshttps://doi.org/10.1007/978-3-031-69978-8_3openalex-snapshot
Biases, Fairness, and Non-discrimination
inferred← citeshttps://doi.org/10.1007/978-3-031-69978-8_6openalex-snapshot
Conclusions and Open Challenges
inferred← citeshttps://doi.org/10.1007/978-3-031-70368-3_21openalex-snapshot
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models
inferred← citeshttps://doi.org/10.1007/978-3-032-21324-2_30openalex-snapshot
Modeling Behavioral Patterns in News Recommendations Using Fuzzy Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-37673-2_9openalex-snapshot
Protecting K-Nearest Neighbor Queries from Location Inference Attacks
inferred← citeshttps://doi.org/10.1016/j.ijhcs.2025.103560openalex-snapshot
De-centering the (Traditional) user: Multistakeholder evaluation of recommender systems
inferred← citeshttps://doi.org/10.1016/j.inffus.2025.103621openalex-snapshot
Differentially private matrix factorization with sub-linear convergence rate for personalized recommendation
inferred← citeshttps://doi.org/10.1016/j.ins.2025.122565openalex-snapshot
Differentially private recommendation algorithm based on diffusion model and Rényi similarity
inferred← citeshttps://doi.org/10.1016/j.jnca.2025.104167openalex-snapshot
Tensor-based ranking-hiding privacy-preserving scheme for cloud-fog-edge cooperative cyber–physical-social systems
inferred← citeshttps://doi.org/10.1093/comjnl/bxag037openalex-snapshot
Differential privacy with semantic neighboring: a notion of privacy for personalization services
inferred← citeshttps://doi.org/10.1109/icdmw60847.2023.00192openalex-snapshot
An in-depth analysis of robustness and accuracy of recommendation systems
inferred← citeshttps://doi.org/10.1109/tsc.2025.3600124openalex-snapshot
EPPQ: Efficient and Privacy-Preserving NN Query Processing for Outsourced High-Dimensional Data
inferred← citeshttps://doi.org/10.1109/tsmc.2024.3512879openalex-snapshot
Nonlinear Matrix Factorization With Cognitive Opinion Formation for Social Recommendation
inferred← citeshttps://doi.org/10.1145/3604915.3609497openalex-snapshot
Trustworthy Recommender Systems: Technical, Ethical, Legal, and Regulatory Perspectives
inferred← citeshttps://doi.org/10.1145/3616855.3635722openalex-snapshot
Psychology-informed Information Access Systems Workshop
inferred← citeshttps://doi.org/10.1145/3631700.3658522openalex-snapshot
Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives
inferred← citeshttps://doi.org/10.1145/3708319.3727563openalex-snapshot
Hybrid AI for Human-Centric Personalization (HyPer)
inferred← citeshttps://doi.org/10.1145/3742791openalex-snapshot
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems
inferred← citeshttps://doi.org/10.3389/fdata.2023.1249997openalex-snapshot
Differential privacy in collaborative filtering recommender systems: a review
inferred← citeshttps://doi.org/10.3389/fdata.2025.1632766openalex-snapshot
Multistakeholder fairness in tourism: what can algorithms learn from tourism management?
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