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ICDM
2008
IEEE
148views Data Mining» more  ICDM 2008»
14 years 4 months ago
Formal Models for Expert Finding on DBLP Bibliography Data
Finding relevant experts in a specific field is often crucial for consulting, both in industry and in academia. The aim of this paper is to address the expert-finding task in a...
Hongbo Deng, Irwin King, Michael R. Lyu
CIKM
2007
Springer
14 years 4 months ago
Expertise drift and query expansion in expert search
Pseudo-relevance feedback, or query expansion, has been shown to improve retrieval performance in the adhoc retrieval task. In such a scenario, a few top-ranked documents are assu...
Craig Macdonald, Iadh Ounis
LREC
2008
97views Education» more  LREC 2008»
13 years 11 months ago
Evaluating Dialogue Act Tagging with Naive and Expert Annotators
In this paper the dialogue act annotation of naive and expert annotators, both annotating the same data, are compared in order to characterise the insights annotations made by dif...
Jeroen Geertzen, Volha Petukhova, Harry Bunt
IAAI
1993
13 years 11 months ago
Digitized Expert PICTures (DEPICT): An Intelligent Information Repository
Implementing and maintaining complicated manufacturing processes in an error-free mode is essential to the survival of any manufacturing business. One essential element to realizi...
George Gallant, Janet Thygesen
ECIR
2007
Springer
13 years 11 months ago
Enhancing Expert Search Through Query Modeling
An expert finding is a very common task among enterprise search activities, while its usual retrieval performance is far from the quality of the Web search. Query modeling helps t...
Pavel Serdyukov, Sergey Chernov, Wolfgang Nejdl