Abstract
The rapid expansion of available online services has raised concerns about user privacy. As a response to this concern, EU Parliament has recently approved General Data Protection Regulation, which aims to give citizens back control of their personal data. Built upon a recently developed token-based recommendation method (UPCV), we introduce in this paper a novel approach of networking collaborative recommendation engines and present the first results of a series of studies regarding its capability to protect user privacy.
| Original language | English |
|---|---|
| Pages (from-to) | 340-344 |
| Journal | International Journal of Humanities and Management Sciences (IJHMS) |
| Volume | 4 |
| Issue number | 4 |
| Publication status | Published - 2016 |
| MoE publication type | A1 Journal article-refereed |
Keywords
- data protection
- GDPR
- privacy
- recommendations
- targeted marketing
- upcv