Privacy-preserving synthetic data generation for recommendation systems
Recommendation systems make predictions chiefly based on users' historical interaction
data (eg, items previously clicked or purchased). There is a risk of privacy leakage when …
data (eg, items previously clicked or purchased). There is a risk of privacy leakage when …
[PDF][PDF] Privacy-Preserving Synthetic Data Generation for Recommendation Systems
F Liu, Z Cheng, H Chen, Y Wei, L Nie, M Kankanhalli - 2022 - researchgate.net
Recommendation systems make predictions chiefly based on users' historical interaction
data (𝑒. 𝑔., items previously clicked or purchased). There is a risk of privacy leakage when …
data (𝑒. 𝑔., items previously clicked or purchased). There is a risk of privacy leakage when …
Privacy-Preserving Synthetic Data Generation for Recommendation Systems
F Liu, Z Cheng, H Chen, Y Wei, L Nie… - arXiv preprint arXiv …, 2022 - arxiv.org
Recommendation systems make predictions chiefly based on users' historical interaction
data (eg, items previously clicked or purchased). There is a risk of privacy leakage when …
data (eg, items previously clicked or purchased). There is a risk of privacy leakage when …
[PDF][PDF] Privacy-Preserving Synthetic Data Generation for Recommendation Systems
F Liu, Z Cheng, H Chen, Y Wei, L Nie, M Kankanhalli - 2022 - scholar.archive.org
Recommendation systems make predictions chiefly based on users' historical interaction
data (𝑒. 𝑔., items previously clicked or purchased). There is a risk of privacy leakage when …
data (𝑒. 𝑔., items previously clicked or purchased). There is a risk of privacy leakage when …
Privacy-preserving synthetic data generation for recommendation systems
F Liu, Z Cheng, H Chen, Y Wei, L Nie… - … on Research and …, 2022 - research.monash.edu
Recommendation systems make predictions chiefly based on users' historical interaction
data (eg, items previously clicked or purchased). There is a risk of privacy leakage when …
data (eg, items previously clicked or purchased). There is a risk of privacy leakage when …
Privacy-Preserving Synthetic Data Generation for Recommendation Systems
F Liu, Z Cheng, H Chen, Y Wei, L Nie… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Recommendation systems make predictions chiefly based on users' historical interaction
data (eg, items previously clicked or purchased). There is a risk of privacy leakage when …
data (eg, items previously clicked or purchased). There is a risk of privacy leakage when …