Privacy-aware Collaborative Filtering

Privacy-Aware Collaborative Filtering is a collaborative filtering approach that, as a distinguished variant within privacy-preserving recommendation systems, inherently integrates mechanisms to protect user data privacy during the process of preference prediction by modifying or constraining information sharing and model computation, thereby differentiating itself from conventional collaborative filtering methods through its explicit privacy guarantees.

72

Publications

4.5K

Citations

202

Authors

104

Institutions

Publications per year

2017–2026

29

Authors

202

  1. HP
    Hüseyin Polat

    Anadolu University, Türkiye

    9 publications · 594 citations

    9

    h-index

  2. SB
    Shlomo Berkovsky

    Commonwealth Scientific and Industrial Research Organisation, Australia

    5 publications · 310 citations

    5

    h-index

  3. LQ
    Lianyong Qi

    Qufu Normal University, China

    4 publications · 205 citations

    4

    h-index

  4. XX
    Xiaolong Xu

    Nanjing University of Information Science and Technology, China

    4 publications · 205 citations

    4

    h-index

  5. AS
    Agustí Solanas

    Universitat Rovira i Virgili, Spain

    3 publications · 143 citations

    3

    h-index

1–5 of 202

Venues

  1. Future Generation Computer Systems

    FGCS · 5 publications · 298 citations

    5

    h-index

  2. Expert Systems with Applications

    4 publications · 195 citations

    4

    h-index

  3. IEEE Access

    3 publications · 101 citations

    3

    h-index

  4. Computers & Electrical Engineering

    2 publications · 59 citations

    2

    h-index

  5. IEEE Intelligent Systems

    2 publications · 425 citations

    2

    h-index

1–5