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dc.contributor.authorAltıngövde İsmail Şengören_US
dc.contributor.authorDemir, Enginen_US
dc.contributor.authorCan, Fazlıen_US
dc.contributor.authorUlusoy, Özgüren_US
dc.coverage.spatialSingapore, Singapore
dc.date.accessioned2016-02-08T11:34:58Z
dc.date.available2016-02-08T11:34:58Z
dc.date.issued2008-07en_US
dc.identifier.urihttp://hdl.handle.net/11693/26759
dc.descriptionDate of Conference: 20 - 24 July, 2008
dc.descriptionConference name: SIGIR '08 Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
dc.description.abstractWeb search engines typically index and retrieve at the page level. In this study, we investigate a dynamic pruning strategy that allows the query processor to first determine the most promising websites and then proceed with the similarity computations for those pages only within these sites.en_US
dc.language.isoEnglishen_US
dc.source.titleACM SIGIR 2008 - 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Proceedingsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/1390334.1390543en_US
dc.subjectCluster-skippingen_US
dc.subjectDynamic query pruningen_US
dc.subjectInverted indexen_US
dc.subjectComputer softwareen_US
dc.subjectInformation retrievalen_US
dc.subjectInformation servicesen_US
dc.subjectQuery processingen_US
dc.subjectResearch and development managementen_US
dc.subjectSearch enginesen_US
dc.subjectWebsitesen_US
dc.subjectCluster-skippingen_US
dc.subjectDynamic query pruningen_US
dc.subjectInverted indexen_US
dc.subjectPage levelsen_US
dc.subjectPruning strategiesen_US
dc.subjectQuery processorsen_US
dc.subjectSimilarity computationsen_US
dc.subjectWeb search enginesen_US
dc.subjectWorld Wide Weben_US
dc.titleSite-based dynamic pruning for query processing in search enginesen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.citation.spage861en_US
dc.citation.epage862en_US
dc.identifier.doi10.1145/1390334.1390543en_US
dc.publisherACM


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