| Document Date: 2015-04-22 03:51:15
Open Document File Size: 122,44 KBShare Result on Facebook
Company Amazon / Netflix / YouTube / Facebook / Recommender Systems / Yahoo / SnT / / Currency USD / / / Event FDA Phase / / Facility University of Luxembourg / / IndustryTerm recommendation protocol / inner product / recommendation systems / privacy preserving protocols / multi-party cryptographic protocols / data mining services / privacy-preserving protocols / semi-honest server / Online Protocol In / Online Protocol It / e-commerce websites / cryptographic solutions / offline protocol / prediction protocol / privacy-protection solutions / evaluation algorithm / online scenario / privacy-preserving solutions / information filtering systems / online book store / recommendation protocols / personalized services / privacy-preserving recommendation protocols / online protocol / / MusicGroup SnT / / Organization University of Luxembourg / / Person Clifton / Jin / Qt / / Position Rt / general data mining services / Private / / Product Fig / Single Prediction When / / Technology two privacy preserving protocols / two-party protocol / JPH offline protocol / 3.1 JPH Online Protocol / JPH online protocol / Dec algorithm / 5.1 Recommendation Protocol / private key / 3.2 JPH Offline Protocol / threshold encryption / two protocols / two privacy-preserving protocols / prediction protocol / two-stage protocol / multi-party cryptographic protocols / encryption / proposed protocols / public key / recommendation protocol / evaluation algorithm / data mining / privacy-preserving recommendation protocols / JPH protocols / recommendation protocols / / URL http /
SocialTag |
Privacy-preserving Context-aware Recommender Systems: Analysis and New Solutions Qiang Tang and Jun Wang APSIA group, SnT, University of Luxembourg 6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg {qiang.tang, jun.wa