Gurrin, Cathal ORCID: 0000-0003-4395-7702 and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (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
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.
Metadata
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 Institutes 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 02 Nov 2018 15:53 |
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