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dc.contributor.authorCan, F.en_US
dc.contributor.authorNuray, R.en_US
dc.contributor.authorSevdik, A. B.en_US
dc.date.accessioned2016-02-08T10:26:59Z
dc.date.available2016-02-08T10:26:59Zen_US
dc.date.issued2004en_US
dc.identifier.issn0306-4573
dc.identifier.issn1873-5371
dc.identifier.urihttp://hdl.handle.net/11693/24289en_US
dc.description.abstractMeasuring the information retrieval effectiveness of World Wide Web search engines is costly because of human relevance judgments involved. However, both for business enterprises and people it is important to know the most effective Web search engines, since such search engines help their users find higher number of relevant Web pages with less effort. Furthermore, this information can be used for several practical purposes. In this study we introduce automatic Web search engine evaluation method as an efficient and effective assessment tool of such systems. The experiments based on eight Web search engines, 25 queries, and binary user relevance judgments show that our method provides results consistent with human-based evaluations. It is shown that the observed consistencies are statistically significant. This indicates that the new method can be successfully used in the evaluation of Web search engines. © 2003 Elsevier Ltd. All rights reserved.en_US
dc.language.isoEnglishen_US
dc.source.titleInformation Processing and Managementen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/S0306-4573(03)00040-2en_US
dc.subjectInformation retrievalen_US
dc.subjectPerformanceen_US
dc.subjectSearch engineen_US
dc.subjectWorld Wide Weben_US
dc.subjectAlgorithmsen_US
dc.subjectData processingen_US
dc.subjectDatabase systemsen_US
dc.subjectIndexing (of information)en_US
dc.subjectMetadataen_US
dc.subjectParameter estimationen_US
dc.subjectSearch enginesen_US
dc.subjectStatisticsen_US
dc.subjectWorld Wide Weben_US
dc.subjectAutomatic performance evaluationen_US
dc.subjectHuman-based evaluationsen_US
dc.subjectQuery response timeen_US
dc.subjectInformation retrievalen_US
dc.titleAutomatic performance evaluation of Web search enginesen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage495en_US
dc.citation.epage514en_US
dc.citation.volumeNumber40en_US
dc.citation.issueNumber3en_US
dc.identifier.doi10.1016/S0306-4573(03)00040-2en_US
dc.publisherElsevieren_US


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