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

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Acknowledgements

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).

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Authors and Affiliations

  1. School of Information, Central University of Finance and Economics, Beijing, 100081, China

    Sheng Gao & Jianming Zhu

  2. School of Computer Science and Technology, Xidian University, Xi’an, 710071, China

    Xindi Ma & Jianfeng Ma

  3. School of Cyber Engineering, Xidian University, Xi’an, 710071, China

    Xindi Ma & Jianfeng Ma

Authors
  1. Sheng Gao
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  2. Xindi Ma
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  3. Jianming Zhu
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  4. Jianfeng Ma
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Corresponding author

Correspondence to Sheng Gao.

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The authors declare that they have no conflict of interest.

Supporting information Appendixes A–D. The supporting information is available online at info. scichina.com and link.springer.com. The supporting materials are published as submitted, without type-setting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Gao, S., Ma, X., Zhu, J. et al. APRS: a privacy-preserving location-aware recommender system based on differentially private histogram. Sci. China Inf. Sci. 60, 119103 (2017). https://doi.org/10.1007/s11432-017-9222-7

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  • DOI: https://doi.org/10.1007/s11432-017-9222-7

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