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Replicating web structure in small-scale test collections

Gurrin, Cathal orcid logoORCID: 0000-0003-4395-7702 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2004) Replicating web structure in small-scale test collections. Information Retrieval, 7 (3). pp. 239-263. ISSN 1573-7659

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 in recent years? In this paper we put forward reasons why many disappointing results have been found in TREC experiments and we identify the linkage density requirements of a dataset to faithfully support experiments into linkage-based retrieval by examining the linkage structure of the WWW. Based on these requirements we report on methodologies for synthesising such a test collection.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Linkage analysis; Search engine; Retrieval evaluation; Test collections
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Information retrieval
Computer Science > World Wide Web
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
Publisher:Kluwer
Official URL:http://link.springer.com/article/10.1023%2FB%3AINR...
Copyright Information:© 2015 Springer. The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:20906
Deposited On:09 Nov 2015 12:11 by Cathal Gurrin . Last Modified 08 Nov 2018 11:11
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