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SIGIR
2006
ACM

Formal models for expert finding in enterprise corpora

9 years 8 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 searching given a document collection which are formalized using generative probabilistic models. The first of these directly models an expert’s knowledge based on the documents that they are associated with, whilst the second locates documents on topic, and then finds the associated expert. Forming reliable associations is crucial to the performance of expert finding systems. Consequently, in our evaluation we compare the different approaches, exploring a variety of associations along with other operational parameters (such as topicality). Using the TREC Enterprise corpora, we show that the second strategy consistently outperforms the first. A comparison against other unsupervised techniques, reveals that our second model delivers excellent performance. Categories and Subject Descriptors H.3 [Informatio...
Krisztian Balog, Leif Azzopardi, Maarten de Rijke
Added 14 Jun 2010
Updated 14 Jun 2010
Type Conference
Year 2006
Where SIGIR
Authors Krisztian Balog, Leif Azzopardi, Maarten de Rijke
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