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dc.contributor.authorLimbu, DK
dc.contributor.authorConnor, AM
dc.contributor.authorPears, R
dc.contributor.authorMacDonell, SG
dc.date.accessioned2011-10-31T08:03:53Z
dc.date.available2011-10-31T08:03:53Z
dc.date.copyright2009
dc.date.issued2011-10-31
dc.identifier.citationPresentation at the 6th international conference on Information Technology: New Generations (ITNG '09), Las Vegas NV, USA, pp.1329 - 1334
dc.identifier.isbn978-1-4244-3770-2
dc.identifier.urihttp://hdl.handle.net/10292/2443
dc.description.abstractContextual retrieval is a critical technique for todaypsilas search engines in terms of facilitating queries and returning relevant information. This paper reports on the development and evaluation of a system designed to tackle some of the challenges associated with contextual information retrieval from the World Wide Web (WWW). The developed system has been designed with a view to capturing both implicit and explicit user data which is used to develop a personal contextual profile. Such profiles can be shared across multiple users to create a shared contextual knowledge base. These are used to refine search queries and improve both the search results for a user as well as their search experience. An empirical study has been undertaken to evaluate the system against a number of hypotheses. In this paper, results related to one are presented that support the claim that users can find information more readily using the contextual search system.
dc.publisherIEEE Computer Society Press
dc.relation.urihttp://dx.doi.org/10.1109/ITNG.2009.133
dc.rightsCopyright © 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subjectWeb searching
dc.subjectInformation retrieval
dc.subjectCollaboration
dc.subjectContext modeling
dc.subjectFeedback
dc.subjectInformation retrieval
dc.subjectInformation technology
dc.subjectSearch engines
dc.subjectSoftware engineering
dc.subjectWeb search
dc.subjectWeb sites
dc.subjectWorld Wide Web
dc.titleImproving web search using contextual retrieval
dc.typeConference Contribution
dc.rights.accessrightsOpenAccess
dc.identifier.doi10.1109/ITNG.2009.133
dc.identifier.roid9790en_NZ


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