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
335
Confounding and Collapsibility in Causal Inference
Sander Greenland, Judea Pearl, James M. Robins · Statistical Science · 1999 · 934 citations · Full text
1–5 of 335
804
6
h-index
6
h-index
6
h-index
5
h-index
5
h-index
1–5 of 804
409

Cornell University
Ithaca, United States
10 h-index
22 publications
1.4K citations
University of California, Los Angeles
Los Angeles, United States
9 h-index
24 publications
2K citations
Harvard University
Cambridge, United States
8 h-index
12 publications
294 citations

University of Milan
Milan, Italy
7 h-index
12 publications
440 citations
University of Cambridge
Cambridge, United Kingdom
5 h-index
9 publications
268 citations
University of Washington
Seattle, United States
5 h-index
12 publications
697 citations
UiT The Arctic University of Norway
Tromsø, Norway
5 h-index
6 publications
210 citations
Northwestern University
Evanston, United States
5 h-index
6 publications
613 citations
1–8 of 409
19 publications · 3.4K citations
18
h-index
Repository · 17 publications · 554 citations
14
h-index
Repository · 12 publications · 320 citations
11
h-index
PSPB · 10 publications · 1K citations
10
h-index
10 publications · 874 citations
10
h-index
1–5