Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/2002
Title: Generic Menu Optimization for Multi-profile Customer Systems
Authors: Karimov, Jeyhun
Özbayoğlu, Ahmet Murat
Tavlı, Bülent
Doğdu, Erdoğan
Keywords: menu optimization
automated teller machine
ATM
mixed integer programming
Publisher: IEEE
Source: Karimov, J., Ozbayoglu, M., Tavli, B., & Dogdu, E. (2015, September). Generic menu optimization for multi-profile customer systems. In 2015 IEEE International Symposium on Systems Engineering (ISSE) (pp. 163-169). IEEE.
Abstract: The use of optimal ATM menu structuring for different customer profiles is essential because of usability, efficiency, and customer satisfaction. Especially in competitive industries such as banking, having optimal user interface (UI) is a must. Determining the optimal menu structure is generally accomplished through manual adjustment of the menu elements. However, such an approach is inherently flawed due to the overwhelming size of the optimization variables' search space. Previous studies on menu optimization either are based on customer questionnaires or made for only a specific menu type using heuristic approaches (i.e., not generic). In this paper, we propose an systematic optimization method for menu structuring problem through a novel Mixed Integer Programming (MIP) framework. Our optimization approach is not specific to a predetermined menu class, on the contrary, the MIP model is designed to be a generic optimization framework that can be applied to a wide range of menu optimization problems. We evaluated the performance gains on a dataset of actual ATM usage logs for a period of 18 months consisting of 40 million transactions. We validated our results with both simulation application and mining of existing data logs. The results show that the proposed optimization approach provides significant reduction in the average transaction completion time and the overall click count.
Description: 1st IEEE International Symposium on Systems Engineering (2015 : Italy)
URI: https://ieeexplore.ieee.org/document/7302750
https://hdl.handle.net/20.500.11851/2002
ISBN: 978-1-4799-1919-2
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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