Introducing Differential Privacy to Recommender Systems Through a Self-Organizing Feature Map Using a Local Distance-Based Methodology
Copyright policy )Introducing Differential Privacy to Recommender Systems Through a Self-Organizing Feature Map Using a Local Distance-Based Methodology
- University of Vienna Austria
Neurons, differential privacy (DP), SOM clustering, Collaborative filtering (CF), recommender systems (RS), Collaborative filtering, Data models, privacy-preserving, 102016 IT-Sicherheit, Vectors, distance-based differential privacy, Differential privacy, Privacy, Self-organizing feature maps, Recommender systems, Training, self-organizing map (SOM), 102016 IT security, Accuracy
Neurons, differential privacy (DP), SOM clustering, Collaborative filtering (CF), recommender systems (RS), Collaborative filtering, Data models, privacy-preserving, 102016 IT-Sicherheit, Vectors, distance-based differential privacy, Differential privacy, Privacy, Self-organizing feature maps, Recommender systems, Training, self-organizing map (SOM), 102016 IT security, Accuracy
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