2.50
Hdl Handle:
http://hdl.handle.net/10547/333127
Title:
Exploiting information needs and bibliographics for polyrepresentative document clustering
Authors:
Abbasi, Muhammad Kamran; Frommholz, Ingo ( 0000-0002-5622-5132 )
Abstract:
In this paper we explore the potential of combining the principle of polyrepresentation with document clustering. Our idea is discussed and evaluated for polyrepresentation of information needs as wells as for document-based polyrepresentation where bibliographic information is used as representation. The main idea is to present the user with the highly ranked polyrepresentative clusters to support the search process. Our evaluation suggests that our approach is capable of increasing retrieval performance, but performance varies for queries with a high or low number of relevant documents.
Affiliation:
University of Bedfordshire
Citation:
Abbasi, M.K., Frommholz, I. (2014) 'Exploiting information needs and bibliographics for polyrepresentative document clustering', In Proceedings of the Bibliometrics-enhanced Information Retrieval Workshop at ECIR 2014, Amsterdam: 21–28
Publisher:
CEUR-WS
Journal:
Proceedings of the Bibliometrics-enhanced Information Retrieval Workshop at ECIR 2014
Issue Date:
Apr-2014
URI:
http://hdl.handle.net/10547/333127
Additional Links:
http://ceur-ws.org/Vol-1143/
Type:
Conference papers, meetings and proceedings
Language:
en
ISSN:
1613-0073
Appears in Collections:
Centre for Research in Distributed Technologies (CREDIT)

Full metadata record

DC FieldValue Language
dc.contributor.authorAbbasi, Muhammad Kamranen
dc.contributor.authorFrommholz, Ingoen
dc.date.accessioned2014-10-24T11:13:09Z-
dc.date.available2014-10-24T11:13:09Z-
dc.date.issued2014-04-
dc.identifier.citationAbbasi, M.K., Frommholz, I. (2014) 'Exploiting information needs and bibliographics for polyrepresentative document clustering', In Proceedings of the Bibliometrics-enhanced Information Retrieval Workshop at ECIR 2014, Amsterdam: 21–28en
dc.identifier.issn1613-0073-
dc.identifier.urihttp://hdl.handle.net/10547/333127-
dc.description.abstractIn this paper we explore the potential of combining the principle of polyrepresentation with document clustering. Our idea is discussed and evaluated for polyrepresentation of information needs as wells as for document-based polyrepresentation where bibliographic information is used as representation. The main idea is to present the user with the highly ranked polyrepresentative clusters to support the search process. Our evaluation suggests that our approach is capable of increasing retrieval performance, but performance varies for queries with a high or low number of relevant documents.en
dc.language.isoenen
dc.publisherCEUR-WSen
dc.relation.urlhttp://ceur-ws.org/Vol-1143/en
dc.subjectpolyrepresentationen
dc.subjectdocument clusteringen
dc.subjectbibliographicsen
dc.subjectinformation needsen
dc.subjectinformation retrievalen
dc.titleExploiting information needs and bibliographics for polyrepresentative document clusteringen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentUniversity of Bedfordshireen
dc.identifier.journalProceedings of the Bibliometrics-enhanced Information Retrieval Workshop at ECIR 2014en
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