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Exploiting information needs and bibliographics for polyrepresentative document clustering

  • Ingo Frommholz
    ,
  • Muhammad Kamran Abbasi
Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Open access

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.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 10/04/2014

Publication status

Published - 10/04/2014

Publisher

CEUR-WS, Germany

External Publication IDs

  • handle.net: 10547/333127

Host publication title

BIR 2014 Bibliometric-enhanced Information Retrieval

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