Research on selection system based on Bayesian recommendation model

Existing course selection systems of institution of higher education are mainly aims at credits statistics, and are short of function of course selection independently that aims at students´ personal professional interesting. For the purpose of better effect of learning, we have improved existing system. This paper discusses improvement of existing course selection system, the improved system employ Bayesian network recommendation technology, establishes a Bayesian course selection network recommendation model, and designed a recommendatory engine based on the model, so we have achieved individualized course selection recommendation according to students´ personal professional interesting. So that enhance students´ ability of subjective activity, make learning passively become perceive initiatively, subsequently greatly improves educational quality of institution of higher education.