Automatically Finding Experts in Large Organizations

摘要：

Automatically finding experts is a critical need for distributed organizations managing employees knowledge. This paper presents an approach that models a probabilistic cascading framework to find relevant experts in enterprise corpora. We employ a qualification of experience that is validated as a measure of expertise. A language model for each experience measure is estimated with topical words. Then for each candidate’s expertise, a language model is estimated with its associated measures. Cascading of these models, we can capture how the expertise is relevant to a topical query. Our evaluation on TREC Enterprise corpora shows that this is an effective approach for expert finding. Moreover, its performance could be further improved by clustering of relevant experience measures.

作者: Zhao Ru Weiran Xu Jun Guo

作者单位: Beijing University of Posts and Telecommunications, Beijing, 100876 China

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）