An Adaptive System for a Real-Time Matching Application

Taka Matsutsuka, Masatoshi Ogawa, Yohei Toriyama, Noriyasu Aso and Ichiro Iida
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Taka Matsutsuka: Fujitsu Limited, Japan
Masatoshi Ogawa: Fujitsu Limited, Japan
Yohei Toriyama: Fujitsu Limited, Japan
Noriyasu Aso: Fujitsu Limited, Japan
Ichiro Iida: Akita Prefectural University, Japan

International Journal of Web Services Research (IJWSR), 2022, vol. 19, issue 1, 1-22

Abstract: In order to enhance the customer experience, it is important not only to provide functions, but also to respond to changes in environments and requirements. It is a difficult task to evaluate and manage which function with different locations and contents is most valuable to the user's experience without using computationally time-consuming optimization calculations. To address this, this paper is focusing on self-adaptive software technology. The authors built a software adaptation mechanism that can be immediately calculated online using a performance characteristic map and threshold judgment with a learning function and sequential updates. The results confirmed the effectiveness of the mechanism in an application that supports personnel exchange events.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jwsr00:v:19:y:2022:i:1:p:1-22

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