Summary: | This article aims to collect user satisfaction to prove whether user profiling and recommendation is significant in
knowledge sharing facilitation framework. A four-factor evaluation metric to measure the overall performance of the agent based system
is used.The evaluation metric consists
of three types of analysis which are overlap analysis, weighted responds analysis and responds analysis. The four-factor metric covers the efficiency of user profile built
by the agent, the relevance of recommendation, the staff directory and the document repository.The main discussion
is on the setting of the experiment and the results of KSFaci performance in the proposed experiment setting.It is concluded that user profiling and recommendation plays a role in knowledge sharing system framework.
|