Freund, L., Clarke, C.L.A. and Toms, E.G. (2006) Towards genre classification for IR in the workplace. In: Ruthven, I., (ed.) Proceedings of the 1st international conference on Information interaction in context. IIiX 2006 , 18-20 Oct 2006, Copenhagen, Denmark. ACM , 30 - 36.
Abstract
Use of document genre in information retrieval systems has the potential to improve the task-appropriateness of results. However, genre classification remains a challenging problem. We describe a case study of genre classification in a software engineering workplace domain, which includes the development of a genre taxonomy and experiments in automatic genre classification using supervised machine learning. We present results based on evaluation using real-life enterprise data from this work domain.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2006 ACM. This is an author produced version of a paper subsequently published in Proceedings of the 1st international conference on Information interaction in context. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Contextual information retrieval; Genre-dependent applications; Genre classification; Enterprise search. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 07 May 2014 10:25 |
Last Modified: | 19 Dec 2022 13:27 |
Published Version: | http://dx.doi.org/10.1145/1164820.1164829 |
Status: | Published |
Publisher: | ACM |
Refereed: | Yes |
Identification Number: | 10.1145/1164820.1164829 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:78834 |