@inproceedings{0ee7dc54718c47d5b480cda76d7bf12e,
title = "AB testing for process versions with contextual multi-armed bandit algorithms",
abstract = "Business process improvement ideas can be validated through sequential experiment techniques like AB Testing. Such approaches have the inherent risk of exposing customers to an inferior process version, which is why the inferior version should be discarded as quickly as possible. In this paper, we propose a contextual multi-armed bandit algorithm that can observe the performance of process versions and dynamically adjust the routing policy so that the customers are directed to the version that can best serve them. Our algorithm learns the best routing policy in the presence of complications such as multiple process performance indicators, delays in indicator observation, incomplete or partial observations, and contextual factors. We also propose a pluggable architecture that supports such routing algorithms. We evaluate our approach with a case study. Furthermore, we demonstrate that our approach identifies the best routing policy given the process performance and that it scales horizontally.",
keywords = "AB testing, Business process management, Multi-armed bandit, Process performance indicators",
author = "Suhrid Satyal and Ingo Weber and Paik, {Hye young} and {Di Ciccio}, Claudio and Jan Mendling",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 30th International Conference on Advanced Information Systems Engineering, CAiSE 2018 ; Conference date: 11-06-2018 Through 15-06-2018",
year = "2018",
doi = "10.1007/978-3-319-91563-0_2",
language = "English",
isbn = "9783319915623",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "19--34",
editor = "John Krogstie and Reijers, {Hajo A.}",
booktitle = "Advanced Information Systems Engineering - 30th International Conference, CAiSE 2018, Proceedings",
}