Design of Innovation Service Platform Based on Bayesian Network

Traditional innovation service platforms simply search in one sub-platform and the search results can not assist the user´s innovation behavior effectively. This paper proposes the design of a novel innovation service platform based on Bayesian network. This platform makes use of Bayesian network to describe the sub-platforms, and borrowing ideas from multi modularly modeling it integrate all the sub-platforms together as a whole by taking advantage of sharing nodes. By means of the inference function of Bayesian network, this platform can take various factors into consideration so as to provide more accurate and effective search results for user. Additionally this platform uses all the sub-platforms rather than one to serve users so that it can provide comprehensive results to assist user´s innovation behavior better.