Combining candidate and document models for expert search

Authors
Publication date 2009
Host editors
  • E.M. Voorhees
  • L.P. Buckland
Book title The seventeenth Text REtrieval Conference (TREC 2008) proceedings
Event 17th Text REtrieval Conference (TREC 2008), Gaithersburg, MD, USA
Publisher Gaithersburg, MD, USA: National Institute of Standards and Technology (NIST)
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract We describe our participation in the TREC 2008 Enterprise track and detail our language modeling-based approaches. For document search, our focus was on query expansion using profiles of top ranked experts and on document priors. We found that these techniques result in small, but noticeable improvements over our baseline method. For expert search, we combine candidate- and document-based models, and also bring in web evidence. We found that the combined models significantly and consistently outperformed our very competitive baseline models.
Document type Conference contribution
Language English
Published at http://trec.nist.gov/pubs/trec17/papers/uamsterdam-derijke.ent.rev.pdf
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