Expert Grouping and Matching Algorithm in Science and Technology Project Review

In order to group and match the applications and experts in project reviewing, the heterogeneous objects grouping and matching algorithm has been proposed, which was based on the co-clustering using bipartite spectral graph partitioning. In this algorithm, the relationship between experts and applications were depicted as a bipartite graph model. The edge-weight was calculated by the relationship weight calculating formula which was proposed in this paper. After decomposing the matrix which was formed by the edge-weight, eigenvectors were gotten. At last, experts and applications were grouped and matched through mapping to the groups of the eigenvectors which were created by k-means grouping algorithm. Applications and experts grouping and matching automatically in the process of project evaluation can be achieved by the applications and experts grouping and matching algorithm, and the grouping and matching results have a higher accuracy and rationality.