DocumentCode
2806456
Title
Incorporating Similar People for Expert Finding in Enterprise Corpora
Author
Zhang, Wei ; Ma, Jianqing ; Zhong, YiPing
Author_Institution
Sch. of Inf. Sci. & Eng., Fudan Univ., Shanghai, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
The task of finding authoritative people within an organization has received increased interest over the past few years. To identify an expert in a specific field, expertise evidence of candidates should be collected in the enterprise corpora to represent one\´s knowledge and skills. Though there have been various methods proposed for evidence collecting and expertise modeling, little work has been done to collect evidence by exploring the relationship between candidates. In this paper, we build a "bridge" between candidates to find out people who have similar intellectual structure within the organization and then supplement an individual by incorporating the evidence collected for his similar people. Besides, a document prior based on the PageRank weight is adopted to illustrate the significance of a page so as to improve the performance of the expert finding system. Finally, we evaluate our methods on enterprise corpora provided by TREC. Experimental results show that the incorporation of similar people and the document prior bring gains to the final results and our proposed methods have excellent performance.
Keywords
document handling; organisational aspects; search engines; PageRank weight; TREC; authoritative people; document prior; enterprise corpora; evidence collecting; expert finding system; expertise modeling; intellectual structure; Bridges; Databases; Information analysis; Information science; Performance gain; Standards organizations;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5362743
Filename
5362743
Link To Document