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Expert finding, which identifies people with relevant knowledge or skills, is one of the most important issues under many circumstances. In this paper, we propose a method that utilizes Normalized Google Distance (NGD) with some global factors to enhance the relevance between initial query and extended query, and to improve the accuracy of the search results of the expert finding system. Results of...
This paper proposes two methods for solving the expert finding problem. In order to enhance the correctness, a C-value 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...
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