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Improving the evaluation of web search systems

Gurrin, Cathal and Smeaton, Alan F. (2003) Improving the evaluation of web search systems. In: ECIR 2003 - 25th European Conference on Information Retrieval Research, 14-16 April 2003, Pisa, Italy. ISBN 978-3-540-01274-0

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Abstract

Linkage analysis as an aid to web search has been assumed to be of significant benefit and we know that it is being implemented by many major Search Engines. Why then have few TREC participants been able to scientifically prove the benefits of linkage analysis over the past three years? In this paper we put forward reasons why disappointing results have been found and we identify the linkage density requirements of a dataset to faithfully support experiments into linkage analysis. We also report a series of linkage-based retrieval experiments on a more densely linked dataset culled from the TREC web documents.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:The original publication is available at www.springerlink.com
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Advances in Information Retrieval. Lecture Notes in Computer Science 2633. Springer Berlin / Heidelberg. ISBN 978-3-540-01274-0
Publisher:Springer Berlin / Heidelberg
Official URL:http://dx.doi.org/10.1007/3-540-36618-0_3
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:263
Deposited On:10 Mar 2008 by DORAS Administrator. Last Modified 10 Feb 2009 11:33

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