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.
Qun, Zhang; Lai, ShouLin; Dai, ShuFen; Gao, Xuedong; and Li, TieKe
"Mining User's Preference Information through System Log toward a Personalized ERP System,"
Communications of the IIMA: Vol. 5
, Article 6.
Available at: https://scholarworks.lib.csusb.edu/ciima/vol5/iss3/6