Collection article | Conference paper | Konferenzbeitrag | Sammelwerksbeitrag

Implications of inter-rater agreement on a student information retrieval evaluation

This paper is about an information retrieval evaluation on three different retrieval-supporting services. All three services were designed to compensate typical problems that arise in metadata- driven Digital Libraries, which are not adequately handled by a simple tf-idf based retrieval. The services are: (1) a co-word analysis based query expansion mechanism and re-ranking via (2) Bradfordizing and (3) author centrality. The services are evaluated with relevance assessments conducted by 73 information science students. Since the students are neither information professionals nor domain experts the question of inter-rater agreement is taken into consideration. Two important implications emerge: (1) the inter- rater agreement rates were mainly fair to moderate and (2) after a data-cleaning step which erased the assessments with poor agreement rates the evaluation data shows that the three retrieval services returned disjoint but still relevant result sets. (author's abstract)

Implications of inter-rater agreement on a student information retrieval evaluation

Urheber*in: Schaer, Philipp; Mayr, Philipp; Mutschke, Peter

Rechte vorbehalten - Freier Zugang

Umfang
Seite(n): 1-7
Sprache
Englisch
Anmerkungen
Status: Postprint; begutachtet
Lernen, Wissen & Adaptivität (LWA). Kassel, 2010

Erschienen in
LWA 2010 : Lernen, Wissen & Adaptivität ; workshop proceedings; Kasseler Informatikschriften (KIS) (2010/5)

Thema
Publizistische Medien, Journalismus,Verlagswesen
Information und Dokumentation, Bibliotheken, Archive
Informationswissenschaft
Bibliothek
Informationsgewinnung
Informationssystem
Information
Datenbank
information retrieval
Informationsmanagement

Ereignis
Geistige Schöpfung
(wer)
Schaer, Philipp
Mayr, Philipp
Mutschke, Peter
Ereignis
Herstellung
(wer)
Atzmüller, Martin
Benz, Dominik
Hotho, Andreas
Stumme, Gerd
Ereignis
Veröffentlichung
(wer)
Universität Kassel, Knowledge and Data Engineering Group
(wo)
Deutschland, Kassel
(wann)
2010

URN
urn:nbn:de:0168-ssoar-46667-7
Rechteinformation
GESIS - Leibniz-Institut für Sozialwissenschaften. Bibliothek Köln
Letzte Aktualisierung
21.06.2024, 16:26 MESZ

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Objekttyp

  • Sammelwerksbeitrag
  • Konferenzbeitrag

Beteiligte

  • Schaer, Philipp
  • Mayr, Philipp
  • Mutschke, Peter
  • Atzmüller, Martin
  • Benz, Dominik
  • Hotho, Andreas
  • Stumme, Gerd
  • Universität Kassel, Knowledge and Data Engineering Group

Entstanden

  • 2010

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