Multi-objective Evaluation

Multi-Objective Evaluation is a recommendation evaluation framework that distinguishes itself by simultaneously assessing multiple, often conflicting, objectives—such as accuracy, diversity, fairness, and novelty—within a unified metric or analysis system.

585

Publications

22.8K

Citations

2.1K

Authors

914

Institutions

Publications per year

2017–2026

273

Authors

2.1K

  1. MK
    Marouane Kessentini

    University of Michigan–Dearborn, United States

    4 publications · 282 citations

    4

    h-index

  2. TY
    Tao Yue

    Simula Research Laboratory, Norway

    3 publications · 81 citations

    3

    h-index

  3. KD
    Kalyanmoy Deb

    Michigan State University, United States

    3 publications · 239 citations

    3

    h-index

  4. SA
    Shaukat Ali

    Simula Research Laboratory, Norway

    3 publications · 81 citations

    3

    h-index

  5. SG
    Shenglian Guo

    Wuhan University, China

    3 publications · 148 citations

    3

    h-index

1–5 of 2.1K

Venues

  1. Sustainability

    9 publications · 206 citations

    9

    h-index

  2. Computers & Industrial Engineering

    8 publications · 289 citations

    8

    h-index

  3. Energies

    6 publications · 367 citations

    6

    h-index

  4. arXiv (Cornell University)

    Repository · 6 publications · 219 citations

    6

    h-index

  5. Applied Soft Computing

    6 publications · 471 citations

    6

    h-index

1–5