This paper proposes two methods for solving the
expert finding problem. In order to enhance the correctness, a Cvalue
method is applied to these methods for query expansion.
After query expansion, proposed system calculates correlation
between all query terms and experts, and finally outputs a list of
experts. The experiment results show that the proposed methods
can provide higher precision than the baseline method from 3%
to 10%.