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Practical Privacy Preserving POI Recommendation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11766155_2openalex-snapshot
Do You Trust Your Recommendations? An Exploration of Security and Privacy Issues in Recommender Systems
inferredcites →https://doi.org/10.1007/978-1-0716-2197-4openalex-snapshot
Recommender Systems Handbook
inferredcites →https://doi.org/10.1007/978-3-319-06608-0_47openalex-snapshot
Matrix Factorization without User Data Retention
inferredcites →https://doi.org/10.1007/978-3-319-30671-1_4openalex-snapshot
Deep Learning over Multi-field Categorical Data
inferredcites →https://doi.org/10.1007/978-3-540-79228-4_1openalex-snapshot
Differential Privacy: A Survey of Results
inferredcites →https://doi.org/10.1007/s10207-007-0049-3openalex-snapshot
Alambic: a privacy-preserving recommender system for electronic commerce
inferredcites →https://doi.org/10.1016/j.patrec.2005.10.010openalex-snapshot
An introduction to ROC analysis
inferredcites →https://doi.org/10.1080/10864415.2003.11044341openalex-snapshot
Privacy-Preserving Collaborative Filtering
inferredcites →https://doi.org/10.1109/bigdata.2017.8258524openalex-snapshot
Large scale app recommendation in Ant Financial
inferredcites →https://doi.org/10.1109/icdm.2003.1250993openalex-snapshot
Privacy-preserving collaborative filtering using randomized perturbation techniques
inferredcites →https://doi.org/10.1109/percomw.2012.6197582openalex-snapshot
Private context-aware recommendation of points of interest: An initial investigation
inferredcites →https://doi.org/10.1109/secpri.2002.1004361openalex-snapshot
Collaborative filtering with privacy
inferredcites →https://doi.org/10.1109/sp.2017.12openalex-snapshot
SecureML: A System for Scalable Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1109/tac.2008.2009515openalex-snapshot
Distributed Subgradient Methods for Multi-Agent Optimization
inferredcites →https://doi.org/10.1109/tkde.2018.2805356openalex-snapshot
Privacy Enhanced Matrix Factorization for Recommendation with Local Differential Privacy
inferredcites →https://doi.org/10.1137/130943170openalex-snapshot
On the Convergence of Decentralized Gradient Descent
inferredcites →https://doi.org/10.1145/1297231.1297234openalex-snapshot
Enhancing privacy and preserving accuracy of a distributed collaborative filtering
inferredcites →https://doi.org/10.1145/1401890.1401944openalex-snapshot
Factorization meets the neighborhood
inferredcites →https://doi.org/10.1145/1557019.1557029openalex-snapshot
Regression-based latent factor models
inferredcites →https://doi.org/10.1145/1557019.1557090openalex-snapshot
Differentially private recommender systems
inferredcites →https://doi.org/10.1145/2009916.2009962openalex-snapshot
Exploiting geographical influence for collaborative point-of-interest recommendation
inferredcites →https://doi.org/10.1145/2168752.2168771openalex-snapshot
Factorization Machines with libFM
inferredcites →https://doi.org/10.1145/2481492.2481505openalex-snapshot
A sentiment-enhanced personalized location recommendation system
inferredcites →https://doi.org/10.1145/2508859.2516751openalex-snapshot
Privacy-preserving matrix factorization
inferredcites →https://doi.org/10.1145/2640087.2644155openalex-snapshot
Scaling Distributed Machine Learning with the Parameter Server
inferredcites →https://doi.org/10.1145/2746539.2746632openalex-snapshot
Local, Private, Efficient Protocols for Succinct Histograms
inferredcites →https://doi.org/10.1145/2959100.2959134openalex-snapshot
Field-aware Factorization Machines for CTR Prediction
inferredcites →https://doi.org/10.1145/2959100.2959190openalex-snapshot
Deep Neural Networks for YouTube Recommendations
inferredcites →https://doi.org/10.1145/2988450.2988454openalex-snapshot
Wide & Deep Learning for Recommender Systems
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3041021.3054192openalex-snapshot
Model Ensemble for Click Prediction in Bing Search Ads
inferredcites →https://doi.org/10.1145/3097983.3098094openalex-snapshot
Bridging Collaborative Filtering and Semi-Supervised Learning
inferredcites →https://doi.org/10.1145/3133956.3133982openalex-snapshot
Practical Secure Aggregation for Privacy-Preserving Machine Learning
inferredcites →https://doi.org/10.1145/3219819.3219869openalex-snapshot
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.24963/ijcai.2017/447openalex-snapshot
Deep Matrix Factorization Models for Recommender Systems
inferredcites →https://doi.org/10.24963/ijcai.2018/516openalex-snapshot
A Deep Framework for Cross-Domain and Cross-System Recommendations
inferredcites →https://doi.org/10.48550/arxiv.1712.01524openalex-snapshot
Collecting Telemetry Data Privately
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-23020-2_22openalex-snapshot
An Efficient Clustering-Based Privacy-Preserving Recommender System
inferred← citeshttps://doi.org/10.1007/978-3-031-56066-8_33openalex-snapshot
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
inferred← citeshttps://doi.org/10.1007/978-3-031-88720-8_7openalex-snapshot
AirTOWN: A Privacy-Preserving Mobile App for Real-Time Pollution-Aware POI Suggestion
inferred← citeshttps://doi.org/10.1007/978-981-97-5618-6_27openalex-snapshot
Next Points of Interest Recommendations Based on Spatio-Temporal-Category Pattern Information
inferred← citeshttps://doi.org/10.1007/s00530-026-02338-2openalex-snapshot
Category-aware privacy preserving semi-decentralized BPR for POI recommendation with user clustering and encryption
inferred← citeshttps://doi.org/10.1007/s10207-023-00710-1openalex-snapshot
A systematic review of privacy techniques in recommendation systems
inferred← citeshttps://doi.org/10.1007/s10462-025-11333-4openalex-snapshot
Privacy and security in recommenders: an analytical review
inferred← citeshttps://doi.org/10.1007/s10489-024-05426-wopenalex-snapshot
CA-PDBPR: category-aware privacy preserving POI recommendation using decentralized Bayesian personalized ranking
inferred← citeshttps://doi.org/10.1007/s11063-023-11264-7openalex-snapshot
Sequential POI Recommend Based on Personalized Federated Learning
inferred← citeshttps://doi.org/10.1007/s12204-021-2382-5openalex-snapshot
Federated Approach for Privacy-Preserving Traffic Prediction Using Graph Convolutional Network
inferred← citeshttps://doi.org/10.1007/s12652-023-04531-xopenalex-snapshot
A verifiable and privacy-preserving framework for federated recommendation system
inferred← citeshttps://doi.org/10.1007/s13042-024-02106-6openalex-snapshot
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications
inferred← citeshttps://doi.org/10.1007/s44196-025-01102-0openalex-snapshot
A Smart IoT-Based System for Early Prediction of Parkinson’s Disease Using Swarm-Assisted Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1016/j.adhoc.2022.103077openalex-snapshot
Fully privacy-preserving location recommendation in outsourced environments
inferred← citeshttps://doi.org/10.1016/j.comnet.2020.107743openalex-snapshot
Deep learning for privacy preservation in autonomous moving platforms enhanced 5G heterogeneous networks
inferred← citeshttps://doi.org/10.1016/j.csi.2023.103827openalex-snapshot
Local differential privacy and its applications: A comprehensive survey
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.122440openalex-snapshot
Federated recommender systems based on deep learning: The experimental comparisons of deep learning algorithms and federated learning aggregation strategies
inferred← citeshttps://doi.org/10.1016/j.ins.2022.12.024openalex-snapshot
FedPOIRec: Privacy-preserving federated poi recommendation with social influence
inferred← citeshttps://doi.org/10.1016/j.ins.2023.03.140openalex-snapshot
MuKGB-CRS: Guarantee privacy and authenticity of cross-domain recommendation via multi-feature knowledge graph integrated blockchain
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120253openalex-snapshot
Towards privacy-preserving category-aware POI recommendation over encrypted LBSN data
inferred← citeshttps://doi.org/10.1016/j.ins.2026.124005openalex-snapshot
Multimodal cross-domain recommender systems using image–text fusion: A gated contrastive approach for scalable service computing
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103470openalex-snapshot
Efficient federated item similarity model for privacy-preserving recommendation
inferred← citeshttps://doi.org/10.1016/j.ipm.2023.103580openalex-snapshot
HN3S: A Federated AutoEncoder framework for Collaborative Filtering via Hybrid Negative Sampling and Secret Sharing
inferred← citeshttps://doi.org/10.1016/j.isatra.2022.05.035openalex-snapshot
Privacy-preserving state estimation with unreliable channels
inferred← citeshttps://doi.org/10.1016/j.jiixd.2024.01.001openalex-snapshot
Practical and privacy-preserving geo-social-based POI recommendation
inferred← citeshttps://doi.org/10.1063/5.0229499openalex-snapshot
AI-enabled risk identification and traffic prediction in vehicular Ad hoc Networks
inferred← citeshttps://doi.org/10.1080/19475683.2026.2617187openalex-snapshot
Federated LSTM-based deep learning model for privacy-preserving predictions of human trajectories across multiple data providers
inferred← citeshttps://doi.org/10.1108/dta-02-2022-0083openalex-snapshot
Privacy-preserving techniques in recommender systems: state-of-the-art review and future research agenda
inferred← citeshttps://doi.org/10.1109/access.2021.3076809openalex-snapshot
Successive Point-of-Interest Recommendation With Local Differential Privacy
inferred← citeshttps://doi.org/10.1109/access.2024.3480693openalex-snapshot
A Hybrid Recommendation System: A Review
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825343openalex-snapshot
LDA model for privacy access based on trajectories and POIs
inferred← citeshttps://doi.org/10.1109/dcoss-iot65416.2025.00012openalex-snapshot
Benchmarking Clustered Federated Learning Algorithms for Next-Point Prediction
inferred← citeshttps://doi.org/10.1109/icaica58456.2023.10405503openalex-snapshot
Advanced Privacy-Preserving Federated Relationship Recommendation
inferred← citeshttps://doi.org/10.1109/ijcnn55064.2022.9892943openalex-snapshot
Ranking-based Federated POI Recommendation with Geographic Effect
inferred← citeshttps://doi.org/10.1109/iros60139.2025.11246435openalex-snapshot
Lightweight Temporal Transformer Decomposition for Federated Autonomous Driving
inferred← citeshttps://doi.org/10.1109/jiot.2022.3181136openalex-snapshot
Privacy-Aware Point-of-Interest Category Recommendation in Internet of Things
inferred← citeshttps://doi.org/10.1109/tii.2022.3214308openalex-snapshot
FGC: GCN-Based Federated Learning Approach for Trust Industrial Service Recommendation
inferred← citeshttps://doi.org/10.1109/tkde.2023.3312511openalex-snapshot
Adaptive Clustering Based Personalized Federated Learning Framework for Next POI Recommendation With Location Noise
inferred← citeshttps://doi.org/10.1109/tkde.2025.3551292openalex-snapshot
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
inferred← citeshttps://doi.org/10.1109/tkde.2025.3606643openalex-snapshot
Personalized Recommendation Models in Federated Settings: A Survey
inferred← citeshttps://doi.org/10.1109/tnse.2025.3571129openalex-snapshot
Staying Fresh: Efficient Algorithms for Timely Social Information Distribution
inferred← citeshttps://doi.org/10.1109/tsp.2022.3151505openalex-snapshot
Federated Matrix Factorization: Algorithm Design and Application to Data Clustering
inferred← citeshttps://doi.org/10.1109/tvt.2021.3074820openalex-snapshot
PriParkRec: Privacy-Preserving Decentralized Parking Recommendation Service
inferred← citeshttps://doi.org/10.1109/tvt.2021.3108463openalex-snapshot
Successive Point-of-Interest Recommendation With Personalized Local Differential Privacy
inferred← citeshttps://doi.org/10.1111/tgis.12769openalex-snapshot
A privacy‐preserving framework for location recommendation using decentralized collaborative machine learning
inferred← citeshttps://doi.org/10.1145/3501809openalex-snapshot
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design
inferred← citeshttps://doi.org/10.1145/3548456openalex-snapshot
A Generic Federated Recommendation Framework via Fake Marks and Secret Sharing
inferred← citeshttps://doi.org/10.1145/3569452openalex-snapshot
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation
inferred← citeshttps://doi.org/10.1145/3580305.3599889openalex-snapshot
PrivateRec: Differentially Private Model Training and Online Serving for Federated News Recommendation
inferred← citeshttps://doi.org/10.1145/3604915.3608888openalex-snapshot
Enhanced Privacy Preservation for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3608481openalex-snapshot
ReuseKNN: Neighborhood Reuse for Differentially Private KNN-Based Recommendations
inferred← citeshttps://doi.org/10.1145/3620677openalex-snapshot
Privacy-preserving Point-of-interest Recommendation based on Simplified Graph Convolutional Network for Geological Traveling
inferred← citeshttps://doi.org/10.1145/3627824openalex-snapshot
A Spatial and Adversarial Representation Learning Approach for Land Use Classification with POIs
inferred← citeshttps://doi.org/10.1145/3666089openalex-snapshot
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications
inferred← citeshttps://doi.org/10.1145/3694682openalex-snapshot
FedGST: An Efficient Federated Graph Neural Network for Spatio-temporal PoI Recommendation
inferred← citeshttps://doi.org/10.1145/3697832openalex-snapshot
Exploring Cross-Site User Modeling without Cross-Site User Identity Linkage: A Case Study of Content Preference Prediction
inferred← citeshttps://doi.org/10.1145/3766066openalex-snapshot
Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share
inferred← citeshttps://doi.org/10.1145/3787468openalex-snapshot
FedHoG: Federated Homogeneous Graph Neural Network for Privacy-Preserving Recommendation
inferred← citeshttps://doi.org/10.1155/2022/4262814openalex-snapshot
A Geographical and Social Society Attributes Based Privacy Preserving Recommendation Method for POIs
inferred← citeshttps://doi.org/10.1186/s13677-023-00435-5openalex-snapshot
A split-federated learning and edge-cloud based efficient and privacy-preserving large-scale item recommendation model
inferred← citeshttps://doi.org/10.1360/ssi-2021-0304openalex-snapshot
Optimized setting of privacy budget in a recommendation system with local differential privacy
inferred← citeshttps://doi.org/10.1360/ssi-2021-0329openalex-snapshot
Survey of recommender systems based on federated learning
inferred← citeshttps://doi.org/10.14778/3685800.3685832openalex-snapshot
DLRover-RM: Resource Optimization for Deep Recommendation Models Training in the Cloud
inferred← citeshttps://doi.org/10.2196/29871openalex-snapshot
Data Anonymization for Pervasive Health Care: Systematic Literature Mapping Study
inferred← citeshttps://doi.org/10.3389/fdata.2023.1249997openalex-snapshot
Differential privacy in collaborative filtering recommender systems: a review
inferred← citeshttps://doi.org/10.3390/electronics11071153openalex-snapshot
A Cascade Framework for Privacy-Preserving Point-of-Interest Recommender System
inferred← citeshttps://doi.org/10.3390/s23020850openalex-snapshot
Intelligent Sensors for POI Recommendation Model Using Deep Learning in Location-Based Social Network Big Data
inferred← citeshttps://doi.org/10.4018/ijitsa.318142openalex-snapshot
POI Recommendation Model Using Multi-Head Attention in Location-Based Social Network Big Data
inferred← citeshttps://doi.org/10.48550/arxiv.2002.02091openalex-snapshot
Privacy Preserving PCA for Multiparty Modeling
inferred← citeshttps://doi.org/10.48550/arxiv.2003.05198openalex-snapshot
Industrial Scale Privacy Preserving Deep Neural Network
inferred← citeshttps://doi.org/10.48550/arxiv.2004.04898openalex-snapshot
Secret Sharing based Secure Regressions with Applications
inferred← citeshttps://doi.org/10.48550/arxiv.2007.01587openalex-snapshot
Privacy Threats Against Federated Matrix Factorization
inferred← citeshttps://doi.org/10.48550/arxiv.2007.13518openalex-snapshot
FedML: A Research Library and Benchmark for Federated Machine Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2105.07612openalex-snapshot
PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC)
inferred← citeshttps://doi.org/10.48550/arxiv.2306.08929openalex-snapshot
Inferring Communities of Interest in Collaborative Learning-based Recommender Systems
inferred← citeshttps://doi.org/10.5220/0012322100003648openalex-snapshot
Federated Learning with Differential Privacy and an Untrusted Aggregator
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