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The Open University at TREC 2006 Enterprise Track ExpertSearch Task

Zhu, Jianhan; Song, Dawei; Rüger, Stefan; Eisenstadt, Marc and Motta, Enrico (2006). The Open University at TREC 2006 Enterprise Track ExpertSearch Task. In: Fifteenth Text REtrieval Conference (TREC2006), 14-17 November 2006, Gaithersburg, Maryland USA.

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URL: http://trec.nist.gov/pubs/trec15/papers/openu.ent....
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Abstract

The Multimedia and Information Systems group at the Knowledge Media Institute of the Open University participated in the Expert Search task of the Enterprise Track in TREC 2006. We have proposed to address three main innovative points in a two-stage language model, which consists of a document relevance model and a cooccurrence model, in order to improve the performance of expert search. The three innovative points are based on characteristics of documents. First, document authority in terms of their PageRanks is considered in the document relevance model. Second, document internal structure is taken into account in the co-occurrence model. Third, we consider multiple levels of associations between experts and query terms in the co-occurrence model. Our experiments on the TREC2006 Expert Search task show that addressing the above three points has led to improved effectiveness of expert search on the W3C dataset.

Item Type: Conference or Workshop Item
Copyright Holders: 2006 Not known
Extra Information: Proc. of The Fifteenth Text REtrieval Conference (TREC 2006), Gaithersburg, Maryland USA, National Institute of Standards and Technology, USA
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
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Item ID: 36078
Depositing User: Danielle Lilly
Date Deposited: 12 Jun 2013 14:43
Last Modified: 29 Nov 2016 20:50
URI: http://oro.open.ac.uk/id/eprint/36078
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