[1]LI Chunying,TANG Yong,CHEN Guohua,et al.Research on an expert recommendation model based on the scholar community SCHOLAT[J].CAAI Transactions on Intelligent Systems,2012,7(4):365-369.
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Research on an expert recommendation model based on the scholar community SCHOLAT

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 7 Number of periods: 2012 4 Page number: 365-369 Column: 学术论文—知识工程 Public date: 2012-08-25
Title:
Research on an expert recommendation model based on the scholar community SCHOLAT
Author(s):
LI Chunying1;  TANG Yong2;  CHEN Guohua2;  TANG Zhikang3
1.School of Computer, Zhaoqing University, Zhaoqing 526061, China;
2.School of Computer Science, South China Normal University, Guangzhou 510631, China;
?3.School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China
Keywords:
expert recommendation;  H index;  probabilistic topic model;  query expansion
CLC:
TP393
DOI:
-
Abstract:
Among the services offered by the academic community, expert recommendation is an indispensable component for researchers, especially young researchers. At present, expert recommendation services have not been offered to users on all of the Chinese search engines offering academic information services. Thus, a scholar community oriented expert recommendation model was proposed. The Hindex was improved to quantify the achievements of a scholar based on the published papers in the last n years, and then the expert list was given based on the improved Hindex. The research interests of a researcher were obtained based on the topics extracted by the probabilistic topic model. In order to carry out high recall retrieval, a query expansion strategy was used: the singular value decomposition step was applied to the termdocument matrix to reduce the dimensionality of the matrix and obtain the termterm relationship matrix, and then the highly related terms were selected to make up the expanded query. Finally, the relevance between the expanded query and the scholar’s topic vectors was calculated and the results were represented in a descending order. An experiment was conducted on the dataset collected from an existing scholar community, SCHOLAT, to verify the effectiveness of the proposed model. The experimental results demonstrate that the proposed model produces the expected results.
References:
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