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

Abbasi, Muhammad Kamran

Frommholz, Ingo

Information Technology and Nanotechnology

English

University of Bedfordshire Repository

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Exploiting information needs and bibliographics for polyrepresentative document clustering

Abstract. In this paper we explore the potential of combining the prin-ciple of polyrepresentation with document clustering. Our idea is dis-cussed and evaluated for polyrepresentation of information needs as wells as for document-based polyrepresentation where bibliographic informa-tion is used as representation. The main idea is to present the user with the highly ranked polyrepresentative clusters to support the search pro-cess. 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. 

Muhammad Kamran Abbasi

Ingo Frommholz

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Exploiting Information Needs and Bibliographics for Polyrepresentative Document Clustering

http://uobrep.openrepository.com/uobrep/bitstream/10547/333127/1/paper3.pdf

Exploiting information needs and bibliographics for polyrepresentative document clustering

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