Evaluating server selection for federated search

Paul Thomas*, Milad Shokouhi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

Previous evaluations of server selection methods for federated search have either used metrics which are unconnected with user satisfaction, or have not been able to account for confounding factors due to other search components. We propose a new framework for evaluating federated search server selection techniques. In our model, we isolate the effect of other confounding factors such as server summaries and result merging. Our results suggest that state-of-the-art server selection techniques are generally effective but result merging methods can be significantly improved. Furthermore, we show that the performance differences among server selection techniques can be obscured by ineffective merging.

Original languageEnglish
Title of host publicationAdvances in Information Retrieval - 32nd European Conference on IR Research, ECIR 2010, Proceedings
PublisherSpringer Verlag
Pages607-610
Number of pages4
ISBN (Print)3642122744, 9783642122743
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event32nd European Conference on Information Retrieval, ECIR 2010 - Milton Keynes, United Kingdom
Duration: 28 Mar 201031 Mar 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5993 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference32nd European Conference on Information Retrieval, ECIR 2010
Country/TerritoryUnited Kingdom
CityMilton Keynes
Period28/03/1031/03/10

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