Research on importance of relationship evidences in expert search
专家搜索中关系证据的重要性研究*

This paper studied the influence of using the relationship evidences, namely the distance and sequential dependencies between query terms and candidates in a document, to the precision of expert finding algorithms. Specifically,first proposed an order kernel function to model the sequential relationship, and then proposed two probabilistic frameworks to model two kinds of relationship evidences in a unified way.Experiment results show that the distance and sequential evidences achieve comparable performance gains over the baseline and a combination of both can achieve better performance than using any of them alone.