Mining User's Preference Information through System Log toward a Personalized ERP System
Zhang Qun, ShouLin Lai, ShuFen Dai, Xuedong Gao, Tieke Li · Communications of the IIMA · 2015
This paper discusses how to mine the user's preference information through the system log of the ERP system. Our findings support that the user's preference degree is positively correlated with the usage frequency and negatively correlated with the latest waiting time. With a derived function of user's preference degree, it can be applied to guide the automatic readjustments to the system interface and content accordingly. Taking a contract management subsystem as an example, the paper shows how to mine the system log toward a intelligent personalized ERP system.