Exploiting Information Needs and Bibliographics for Polyrepresentative Document Clustering.
Muhammad Kamran Abbasi, Ingo Frommholz · University of Bedfordshire Repository (University of Bedfordshire) · 2014
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. 1