dc.contributor.author | PATSAKIS, KONSTANTINOS | en |
dc.date.accessioned | 2015-05-19T10:31:12Z | |
dc.date.available | 2015-05-19T10:31:12Z | |
dc.date.issued | 2015 | en |
dc.date.submitted | 2015 | en |
dc.identifier.citation | Casino, F. Domingo-Ferrer, J. Patsakis, C. Puig, D. Solanas, A., A k-anonymous approach to privacy preserving collaborative filtering, Journal of Computer and System Sciences, 81, 6, 2015, 1000 - 1011 | en |
dc.identifier.other | Y | en |
dc.description | PUBLISHED | en |
dc.description.abstract | This article proposes a new technique for Privacy Preserving Collaborative Filtering (PPCF) based on microaggregation, which provides accurate recommendations estimated from perturbed data whilst guaranteeing user k-anonymity. The experimental results presented in this article show the effectiveness of the proposed technique in protecting users’ privacy without compromising the quality of the recommendations. In this sense, the proposed approach perturbs data in a much more efficient way than other well-known methods such as Gaussian Noise Addition (GNA). | en |
dc.description.sponsorship | This work was partly supported by the Government of Catalonia under grant no. 2014 SGR 537. Dr. Domingo-Ferrer is partially supported as an ICREA Acadèmia researcher by the Government of Catalonia, and by the EC under FP7 projects “DwB” and “Inter-Trust”. Dr. Solanas is partly funded by La Caixa Foundation through project “SIMPATIC” RECERCAIXA’12. The authors with the UNESCO Chair in Data Privacy are solely responsible for the views expressed in this article, which do not necessarily reflect the position of UNESCO nor commit that organisation. | en |
dc.format.extent | 1000 | en |
dc.format.extent | 1011 | en |
dc.relation.ispartofseries | Journal of Computer and System Sciences | en |
dc.relation.ispartofseries | 81 | en |
dc.relation.ispartofseries | 6 | en |
dc.rights | Y | en |
dc.subject | Privacy Preserving Collaborative Filtering (PPCF) | en |
dc.subject.lcsh | Privacy Preserving Collaborative Filtering (PPCF) | en |
dc.title | A k-anonymous approach to privacy preserving collaborative filtering | en |
dc.type | Journal Article | en |
dc.type.supercollection | scholarly_publications | en |
dc.type.supercollection | refereed_publications | en |
dc.identifier.peoplefinderurl | http://people.tcd.ie/patsakik | en |
dc.identifier.rssinternalid | 103433 | en |
dc.identifier.doi | http://dx.doi.org/10.1016/j.jcss.2014.12.013 | en |
dc.rights.ecaccessrights | openAccess | |
dc.identifier.rssuri | http://www.scopus.com/inward/record.url?eid=2-s2.0-84928269357&partnerID=40&md5=5dd6a9864467c49c52f0f6e6147aaf54 | en |
dc.identifier.uri | http://hdl.handle.net/2262/73931 | |