APRS: a privacy-preserving location-aware recommender system based on differentially private histogram

  • Sheng Gao
  • Xindi Ma
  • Jianming Zhu
  • Jianfeng Ma



This work was supported by National Natural Science Foundation of China (Grant Nos. 61602537, 61272398, U1509214, U1405255), Beijing Municipal Philosophy and Social Science Foundation (Grant No. 16XCC023), and National High Technology Research and Development Program of China (863 Program) (Grant No. 2015AA016007).

Supplementary material

11432_2017_9222_MOESM1_ESM.pdf (327 kb)
Supplementary material, approximately 328 KB.


  1. 1.
    Sarwat M, Levandoski J J, Eldawy A, et al. Lars*: an efficient and scalable location-aware recommender system. IEEE Trans Knowl Data Eng, 2014, 26: 1384–1399CrossRefGoogle Scholar
  2. 2.
    Scipioni M P. Towards privacy-aware location-based recommender systems. In: Proceedings of IFIP Summer School, Trento, 2011. 1–8Google Scholar
  3. 3.
    Andrés M E, Bordenabe N E, Chatzikokolakis K, et al. Geo-indistinguishability: differential privacy for location-based systems. In: Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, Berlin, 2013. 901–914Google Scholar
  4. 4.
    Ma X D, Li H, Ma J F, et al. Applet: a privacypreserving framework for location-aware recommender system. Sci China Inf Sci, 2017, 60: 092101CrossRefGoogle Scholar
  5. 5.
    Shen Y L, Jin H X. Privacy-preserving personalized recommendation: an instance-based approach via differential privacy. In: Proceedings of IEEE International Conference on Data Mining, Shenzhen, 2014. 540–549Google Scholar
  6. 6.
    Shen Y L, Jin H X. Epicrec: towards practical differentially private framework for personalized recommendation. In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, Vienna, 2016. 180–191Google Scholar
  7. 7.
    Kellaris G, Papadopoulos S. Practical differential privacy via grouping and smoothing. Proc VLDB Endowment, 2013, 6: 301–312CrossRefGoogle Scholar
  8. 8.
    Zhang X J, Chen R, Xu J L, et al. Towards accurate histogram publication under differential privacy. In: Proceedings of the 2014 SIAM International Conference on Data Mining, Pennsylvania, 2014. 587–595Google Scholar

Copyright information

© Science China Press and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  • Sheng Gao
    • 1
  • Xindi Ma
    • 2
    • 3
  • Jianming Zhu
    • 1
  • Jianfeng Ma
    • 2
    • 3
  1. 1.School of InformationCentral University of Finance and EconomicsBeijingChina
  2. 2.School of Computer Science and TechnologyXidian UniversityXi’anChina
  3. 3.School of Cyber EngineeringXidian UniversityXi’anChina

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