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» Combining Candidate and Document Models for Expert Search
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TREC
2007
14 years 11 months ago
DUTIR at TREC 2007 Enterprise Track
This paper describes our experiments on the two tasks of the TREC 2007 Enterprise track. In data preprocessing stage we stripped the non-letter character from documents and query....
Jianmei Chen, Hui Ren, Linhong Xu, Hongfei Lin, Zh...
ECIR
2007
Springer
14 years 11 months ago
Probabilistic Models for Expert Finding
A common task in many applications is to find persons who are knowledgeable about a given topic (i.e., expert finding). In this paper, we propose and develop a general probabilis...
Hui Fang, ChengXiang Zhai
SIGIR
2008
ACM
14 years 9 months ago
Combining document- and paragraph-based entity ranking
We study entity ranking on the INEX entity track and propose a simple graph-based ranking approach that enables to combine scores on document and paragraph level. The combined app...
Henning Rode, Pavel Serdyukov, Djoerd Hiemstra
CIKM
2008
Springer
14 years 12 months ago
Modeling document features for expert finding
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 propos...
Jianhan Zhu, Dawei Song, Stefan M. Rüger, Xia...
SIGIR
2006
ACM
15 years 3 months ago
Formal models for expert finding in enterprise corpora
Searching an organization’s document repositories for experts provides a cost effective solution for the task of expert finding. We present two general strategies to expert se...
Krisztian Balog, Leif Azzopardi, Maarten de Rijke