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Fuzzy Systems and Knowledge Discovery, Fourth International Conference on (2007)
Haikou, Hainan, China
Aug. 24, 2007 to Aug. 27, 2007
ISBN: 0-7695-2874-0
pp: 477-481
Jun Guo , Beijing University of Posts and Telecommunications
Zhao Ru , Beijing University of Posts and Telecommunications
Weiran Xu , Beijing University of Posts and Telecommunications
ABSTRACT
Finding experts accurately and automatically is becom- ing difficult especially in a large organization. This paper presents a probabilistic model which applies language mod- eling techniques to find experts in enterprise corpora. The expertise of each candidate expert is modeled through the associated experience. We employ a qualification of experi- ence, and validate this qualification as a measure of exper- tise to replace the documents. In our model, the relevance of a candidate's expertise to a given topic is estimated by its likelihood of generating topic words. Our evaluation on TREC test collection indicates the effectiveness of the prob- abilistic model in expert finding. This model is able to be improved by clustering of the relevant experience measures, which can also save retrieval time.
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CITATION
Jun Guo, Zhao Ru, Weiran Xu, "An Expert Experience Probabilistic Model for Enterprise Expert Finding", Fuzzy Systems and Knowledge Discovery, Fourth International Conference on, vol. 01, no. , pp. 477-481, 2007, doi:10.1109/FSKD.2007.157
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