Propensity Scoring
Propensity Scoring is a statistical technique used in recommendation evaluation that estimates the likelihood of an item being recommended to a user based on observed user and item characteristics, distinguishing it from other evaluation methods by explicitly modeling the selection bias inherent in observational recommendation data.
1.7K
Publications
121.4K
Citations
9.7K
Authors
2.9K
Institutions
Publications per year
2017–2026
725
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Harvard University
Cambridge, United States
50 h-index
239 publications
26.4K citations
University of Pennsylvania
Philadelphia, United States
36 h-index
142 publications
13.6K citations

Brigham and Women's Hospital
Boston, United States
34 h-index
173 publications
17.2K citations

Johns Hopkins University
Baltimore, United States
29 h-index
114 publications
12.5K citations
Inserm
Paris, France
27 h-index
199 publications
12.7K citations
University of Michigan
Ann Arbor, United States
25 h-index
69 publications
6.9K citations

University of Toronto
Toronto, Canada
24 h-index
127 publications
10.4K citations
Cleveland Clinic
Cleveland, United States
23 h-index
118 publications
5.5K citations
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42 publications · 2.2K citations
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33 publications · 7.6K citations
25
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21 publications · 2.1K citations
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AJE · 17 publications · 2.3K citations
15
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20 publications · 606 citations
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