Decentralized Recommendation

Decentralized Recommendation is a recommendation paradigm that belongs to the class of privacy-preserving recommendation systems, distinguished by its reliance on distributed data architectures in which user data remains locally stored and collaboratively processed without centralized aggregation.

71

Publications

3.2K

Citations

229

Authors

107

Institutions

Publications per year

2017–2026

42

Authors

229

  1. HY
    Hongzhi Yin

    The University of Queensland, Australia

    5 publications · 340 citations

    5

    h-index

  2. QV
    Quoc Viet Hung Nguyen

    Griffith University, Australia

    5 publications · 340 citations

    5

    h-index

  3. TC
    Tong Chen

    The University of Queensland, Australia

    4 publications · 296 citations

    4

    h-index

  4. AK
    Anne-Marie Kermarrec

    Institut national de recherche en sciences et technologies du numérique, France

    4 publications · 79 citations

    4

    h-index

  5. LR
    Laura Ricci

    University of Pisa, Italy

    3 publications · 127 citations

    3

    h-index

1–5 of 229

Venues

  1. arXiv (Cornell University)

    Repository · 3 publications · 159 citations

    3

    h-index

  2. Future Generation Computer Systems

    FGCS · 2 publications · 99 citations

    2

    h-index

  3. Expert Systems with Applications

    2 publications · 156 citations

    2

    h-index

  4. ACM Transactions on Information Systems

    2 publications · 170 citations

    2

    h-index

  5. IEEE Transactions on Vehicular Technology

    2 publications · 157 citations

    2

    h-index

1–5