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Examining User Heterogeneity in Digital Experiments.

Authors :
SOMANCHI, SRIRAM
ABBASI, AHMED
KELLEY, KEN
DOBOLYI, DAVID
TED TAO YUAN
Source :
ACM Transactions on Information Systems. Oct2023, Vol. 41 Issue 4, p1-34. 34p.
Publication Year :
2023

Abstract

The article focuses on addressing the challenges related to user heterogeneity in digital experiments, specifically in detecting and analyzing heterogeneous treatment effects (HTEs). The topics covered include proposing a framework for HTE detection, and demonstrating the prevalence and significance of user characteristics in influencing experiment outcomes, emphasizing the importance of considering user heterogeneity in experimentation analysis.

Details

Language :
English
ISSN :
10468188
Volume :
41
Issue :
4
Database :
Academic Search Index
Journal :
ACM Transactions on Information Systems
Publication Type :
Academic Journal
Accession number :
172034528
Full Text :
https://doi.org/10.1145/3578931