Contextual relevance feedback in web information retrieval

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aut.researcherMacDonell, Stephen Gerard
dc.contributor.authorLimbu, DK
dc.contributor.authorConnor, AM
dc.contributor.authorPears, R
dc.contributor.authorMacDonell, S
dc.contributor.editorRuthven, I
dc.contributor.editorBorlund, P
dc.contributor.editorIngwersen, P
dc.contributor.editorBelkin, NJ
dc.contributor.editorTombors, A
dc.contributor.editorVakkari, P
dc.date.accessioned2011-08-06T03:53:15Z
dc.date.available2011-08-06T03:53:15Z
dc.date.copyright2006
dc.date.issued2006
dc.description.abstractIn this paper, we present an alternative approach to the problem of contextual relevance feedback in web-based information retrieval. Our approach utilises a rich contextual model that exploits a user's implicit and explicit data. Each user's implicit data are gathered from their Internet search histories on their local machine. The user's explicit data are captured from a lexical database, a shared contextual knowledge base and domain-specific concepts using data mining techniques and a relevance feedback approach. This data is later used by our approach to modify queries to more accurately reflect the user's interests as well as to continually build the user's contextual profile and a shared contextual knowledge base. Finally, the approach retrieves personalised or contextual search results from the search engine using the modified/expanded query. Preliminary experiments indicate that our approach has the potential to not only aid in the contextual relevance feedback but also contribute towards the long term goal of intelligent relevance feedback in web-based information retrieval.
dc.identifier.citationProceedings of the 1st International Conference on Information Interaction in Context, IIiX 2006, Copenhagen, Denmark, October 18-20, 2006. ACM 2006, pages 138 - 143
dc.identifier.doi10.1145/1164820.1164848
dc.identifier.urihttps://hdl.handle.net/10292/1592
dc.publisherAssociation for Computing Machinery (ACM)
dc.rights© ACM, 2006. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in http://doi.acm.org/10.1145/1164820.1164848
dc.rights.accessrightsOpenAccess
dc.subjectContextual information retrieval
dc.subjectContextual user profile
dc.subjectRelevance feedback
dc.subjectQuery formulation
dc.titleContextual relevance feedback in web information retrieval
dc.typeConference Contribution
pubs.organisational-data/AUT
pubs.organisational-data/AUT/Design & Creative Technologies
pubs.organisational-data/AUT/PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers
pubs.organisational-data/AUT/PBRF Researchers/Design & Creative Technologies PBRF Researchers/DCT C & M Computing
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