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Polyrepresentative clustering: a study of simulated user strategies and representations

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

Open access

Abstract

The principle of polyrepresentation and document clustering are two established methods for Interactive Information Retrieval, which have been used separately so far. In this paper we discuss a cluster based polyrepresentation approach for information need and document based representations. In our work we simulate and evaluate two possible cluster browsing strategies a user could apply to explore the polyrepresentative clusters. In our evaluation we apply information need and bibliographic features on the iSearch collection. Our results suggest that polyrepresentative cluster browsing may be more effective than exploring a ranked list.

Publication Information

Output type

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

Original language

English

Pages from-to (Number of pages)

Pages 47-54

Publication milestones

  • Published - 31/12/2015

Publication status

Published - 31/12/2015

Edition

Vol 1344

Volume

1344

Publisher

CEUR-WS, Germany

Publication IDs

  • handle.net: 10547/624260
  • Scopus: 84926346266

Host publication title

CEUR Workshop Proceedings

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