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dc.contributor.convenorNick Cerconeen_US
dc.contributor.authorKalinov, Pavelen_US
dc.contributor.authorStantic, Belaen_US
dc.contributor.authorSattar, Abdulen_US
dc.contributor.editorJimmy Huang, Iriwn King, Vijay Raghavan, Stefan Ruegeren_US
dc.date.accessioned2017-05-03T11:26:30Z
dc.date.available2017-05-03T11:26:30Z
dc.date.issued2010en_US
dc.date.modified2012-09-02T23:01:02Z
dc.identifier.refurihttp://www.yorku.ca/wiiat10/en_US
dc.identifier.doi10.1109/WI-IAT.2010.19en_US
dc.identifier.urihttp://hdl.handle.net/10072/37286
dc.description.abstractThe current search engine model considers users not trustworthy, so no tools are provided to let them specify what they are looking for or in what context, which severely limits what they are able to achieve. Instead, search engines try to guess that, which is currently done using "implicit feedback''. In this paper we propose a "web exploration engine'' - a model where users can use the search engine as their tool and explicitly specify the context of their search. Information about the web has been pre-classified in a large number of categories; users can explore this hierarchy by providing relevance feedback or search within a particular category. Search is truly ``local'' in the sense that keyword relevance is not global, but specific to the category. In contrast to using a search engine, users can guide the exploration engine with relevance feedback alone without entering keywords.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent193717 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherIEEEen_US
dc.publisher.placeNew Yorken_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofconferencenameIEEE / WIC / ACM International Conference on Web Intelligenceen_US
dc.relation.ispartofconferencetitleIEEE / WIC / ACM International Conference on Web Intelligenceen_US
dc.relation.ispartofdatefrom2010-08-31en_US
dc.relation.ispartofdateto2010-09-03en_US
dc.relation.ispartoflocationToronto, Canadaen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchInformation and Computing Sciences not elsewhere classifieden_US
dc.subject.fieldofresearchcode089999en_US
dc.titleLet’s Trust Users - It Is Their Searchen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
gro.date.issued2010
gro.hasfulltextFull Text


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