Type

Journal Article

Authors

Alan F. Smeaton
Cathal Gurrin

Subjects

Computer Science

Topics
search engine information storage and retrieval systems world wide web test collections linkage analysis retrieval evaluation search engines information retrieval

Replicating web structure in small-scale test collections (2004)

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.
Collections Ireland -> Dublin City University -> DCU Faculties and Centres = DCU Faculties and Schools: Faculty of Engineering and Computing: School of Computing
Ireland -> Dublin City University -> Publication Type = Article
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: Centre for Digital Video Processing (CDVP)
Ireland -> Dublin City University -> Subject = Computer Science: Information storage and retrieval systems
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: World Wide Web
Ireland -> Dublin City University -> Subject = Computer Science: Information retrieval

Full list of authors on original publication

Alan F. Smeaton, Cathal Gurrin

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 492
 
2
Cathal Gurrin
Dublin City University
Total Publications: 238