Counterfactual Evaluation

Counterfactual Evaluation is a methodological framework within recommendation system evaluation that estimates the performance of a recommender model by simulating hypothetical user interactions under alternative recommendation policies, differing from traditional evaluation approaches by inferring outcomes for unobserved actions using causal inference techniques.

335

Publications

25K

Citations

804

Authors

409

Institutions

Publications per year

2017–2026

135

Authors

804

  1. NJ
    Neal J. Roese

    Northwestern University, United States

    6 publications · 1.1K citations

    6

    h-index

  2. KD
    Keith D. Markman

    Ohio University, United States

    6 publications · 346 citations

    6

    h-index

  3. TJ
    Thorsten Joachims

    Cornell University, United States

    6 publications · 174 citations

    6

    h-index

  4. VH
    Victoria Husted Medvec

    Cornell University, United States

    5 publications · 1K citations

    5

    h-index

  5. LJ
    Lawrence J. Sanna

    University of Michigan, United States

    5 publications · 419 citations

    5

    h-index

1–5 of 804

Venues

  1. Journal of Personality and Social Psychology

    19 publications · 3.4K citations

    18

    h-index

  2. SSRN Electronic Journal

    Repository · 17 publications · 554 citations

    14

    h-index

  3. arXiv (Cornell University)

    Repository · 12 publications · 320 citations

    11

    h-index

  4. Personality and Social Psychology Bulletin

    PSPB · 10 publications · 1K citations

    10

    h-index

  5. Journal of Experimental Social Psychology

    10 publications · 874 citations

    10

    h-index

1–5