Two-sided Recommendation

Two-Sided Recommendation is a multi-stakeholder recommendation framework that specifically mediates preferences and interactions between two distinct user groups to optimize mutual satisfaction.

21

Publications

1.3K

Citations

66

Authors

37

Institutions

Publications per year

2017–2026

18

Authors

66

  1. JK
    Judy Kay

    The University of Sydney, Australia

    2 publications · 122 citations

    2

    h-index

  2. JC
    Jian Cao

    Shanghai Jiao Tong University, China

    2 publications · 91 citations

    2

    h-index

  3. LP
    Luiz Pizzato

    Macquarie University, Australia

    2 publications · 122 citations

    2

    h-index

  4. YW
    Yao Wu

    Shanghai Jiao Tong University, China

    2 publications · 91 citations

    2

    h-index

  5. IK
    Irena Koprinska

    The University of Sydney, Australia

    2 publications · 122 citations

    2

    h-index

1–5 of 66

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 35 citations

    2

    h-index

  2. IEEE Transactions on Evolutionary Computation

    1 publications · 30 citations

    1

    h-index

  3. MIS Quarterly

    1 publications · 65 citations

    1

    h-index

  4. Journal of Business Research

    JBR · 1 publications · 29 citations

    1

    h-index

  5. Electronic Commerce Research and Applications

    1 publications · 188 citations

    1

    h-index

1–5