Mining Useru27s Preference Information through System Log toward a Personalized ERP System

摘要

This paper discusses how to mine the useru27s preference information through the system log of the ERP system. Our findings support that the useru27s preference degree is positively correlated with the usage frequency and negatively correlated with the latest waiting time. With a derived function of useru27s 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.