Combining fields in known-item email search

Macdonald, C. and Ounis, I. (2006) Combining fields in known-item email search. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington, USA, 6-11 August 2006, pp. 675-676. ISBN 1595933697 (doi:10.1145/1148170.1148312)

Macdonald, C. and Ounis, I. (2006) Combining fields in known-item email search. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, Washington, USA, 6-11 August 2006, pp. 675-676. ISBN 1595933697 (doi:10.1145/1148170.1148312)

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Publisher's URL: http://doi.acm.org/10.1145/1148170.1148312

Abstract

Emails are examples of structured documents with various fields. These fields can be exploited to enhance the retrieval effectiveness of an Information Retrieval (IR) system that mailing list archives. In recent experiments of the TREC2005 Enterprise track, various fields were applied to varying degrees of success by the participants. In his work, using a field-based weighting model, we investigate the retrieval performance attainable by each field, and examine when fields evidence should be combined or not.

Item Type:Conference Proceedings
Additional Information:© ACM, 2006. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, (2006) http://doi.acm.org/10.1145/1148170.1148312
Keywords:Email, retrieval, fields, structure, metadata.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Macdonald, Dr Craig and Ounis, Professor Iadh
Authors: Macdonald, C., and Ounis, I.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
College/School:College of Science and Engineering > School of Computing Science
Publisher:ACM Press
ISBN:1595933697
Copyright Holders:Copyright © 2006 ACM Press
First Published:First published in Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher.

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