Azzopardi, L. and de Rijke, M. (2006) Automatic construction of known-item finding test beds. In: Annual ACM Conference on Research and Development in Information Retrieval, Seattle, Washington, 6-11 August 2006, pp. 603-604. ISBN 1595933697 (doi: 10.1145/1148170.1148276)
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Publisher's URL: http://doi.acm.org/10.1145/1148170.1148276
Abstract
This work is an initial study on the utility of automatically generated queries for evaluating known-item retrieval and how such queries compare to real queries. The main advantage of automatically generating queries is that for any given test collection numerous queries can be produced at minimal cost. For evaluation, this has huge ramifications as state-of-the-art algorithms can be tested on different types of generated queries which mimic particular querying styles that a user may adopt. Our approach draws upon previous research in IR which has probabilistically generated simulated queries for other purposes [2, 3].
Item Type: | Conference Proceedings |
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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 http://doi.acm.org/10.1145/1148170.1148276 |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Azzopardi, Dr Leif |
Authors: | Azzopardi, L., and de Rijke, M. |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
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 including additional information statement. |
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