Modeling document features for expert finding

Jianhan Zhu, Dawei Song, Stefan Rüger, Xiangji Huang
2008 Proceeding of the 17th ACM conference on Information and knowledge mining - CIKM '08  
We argue that expert finding is sensitive to multiple document features in an organization, and therefore, can benefit from the incorporation of these document features. We propose a unified language model, which integrates multiple document features, namely, multiple levels of associations, PageRank, indegree, internal document structure, and URL length. Our experiments on two TREC Enterprise Track collections, i.e., the W3C and CSIRO datasets, demonstrate that the natures of the two
more » ... onal intranets and two types of expert finding tasks, i.e., key contact finding for CSIRO and knowledgeable person finding for W3C, influence the effectiveness of different document features. Our work provides insights into which document features work for certain types of expert finding tasks, and helps design expert finding strategies that are effective for different scenarios.
doi:10.1145/1458082.1458312 dblp:conf/cikm/ZhuSRH08 fatcat:5o7gwv7subg6bkwcxsmjfbu34a