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  1. Ng, K.B.; Loewenstern, D.; Basu, C.; Hirsh, H.; Kantor, P.B.: Data fusion of machine-learning methods for the TREC5 routing tak (and other work) (1997) 0.05
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    Date
    27. 2.1999 20:59:22
  2. Ellis, D.: Progress and problems in information retrieval (1996) 0.04
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    Date
    26. 7.2002 20:22:46
    Footnote
    Rez. in: Managing information 3(1996) no.10, S.49 (D. Bawden); Program 32(1998) no.2, S.190-192 (C. Revie)
  3. Prabha, C.: ¬The large retrieval phenomenon (1991) 0.02
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  4. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.02
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    Date
    20.10.2000 12:22:23
  5. Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998) 0.02
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    Source
    Online. 22(1998) no.6, S.57-58
  6. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.02
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    Date
    11. 8.2001 16:22:19
  7. Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990) 0.02
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    Date
    22. 7.2006 18:43:54
  8. Buckley, C.; Voorhees, E.M.: Retrieval system evaluation (2005) 0.02
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  9. Buckley, C.; Singhal, A.; Mitra, M.; Salton, G.: New retrieval approaches using SMART : TREC 4 (1996) 0.01
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  10. Burnett, M.; Fisher, C.; Jones, R.: InTEXT precision indexing in TREC4 (1996) 0.01
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  11. Singhal, A.; Buckley, C.; Mitra, M.: Using query zoning and correlation with SMART : TREC 5 (1997) 0.01
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  12. Lai, K.F.; Ngo, C.-W.: Experiments on routing, filtering and Chinese text retrieval in TREC-5 (1997) 0.01
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  13. Pedersen, J.O.; Silverstein, C.; Vogt, C.C.: Verity at TREC-6 : out-of-the-box and beyond (2000) 0.01
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  14. Cole, C.: Intelligent information retrieval : Part IV: Testing the timing of two information retrieval devices in a naturalistic setting (2001) 0.01
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  15. Buckley, C.; Voorhees, E.M.: Retrieval evaluation with incomplete information (2004) 0.01
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  16. Buckley, C.: ¬The SMART Project at TREC (2005) 0.01
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  17. Petras, V.; Womser-Hacker, C.: Evaluation im Information Retrieval (2023) 0.01
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    Abstract
    Das Ziel einer Evaluation ist die Überprüfung, ob bzw. in welchem Ausmaß ein Informationssystem die an das System gestellten Anforderungen erfüllt. Informationssysteme können aus verschiedenen Perspektiven evaluiert werden. Für eine ganzheitliche Evaluation (als Synonym wird auch Evaluierung benutzt), die unterschiedliche Qualitätsaspekte betrachtet (z. B. wie gut ein System relevante Dokumente rankt, wie schnell ein System die Suche durchführt, wie die Ergebnispräsentation gestaltet ist oder wie Suchende durch das System geführt werden) und die Erfüllung mehrerer Anforderungen überprüft, empfiehlt es sich, sowohl eine perspektivische als auch methodische Triangulation (d. h. der Einsatz von mehreren Ansätzen zur Qualitätsüberprüfung) vorzunehmen. Im Information Retrieval (IR) konzentriert sich die Evaluation auf die Qualitätseinschätzung der Suchfunktion eines Information-Retrieval-Systems (IRS), wobei oft zwischen systemzentrierter und nutzerzentrierter Evaluation unterschieden wird. Dieses Kapitel setzt den Fokus auf die systemzentrierte Evaluation, während andere Kapitel dieses Handbuchs andere Evaluationsansätze diskutieren (s. Kapitel C 4 Interaktives Information Retrieval, C 7 Cross-Language Information Retrieval und D 1 Information Behavior).
  18. Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997) 0.01
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    Date
    27. 2.1999 20:55:22
  19. Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983) 0.01
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    Pages
    S.22-25
  20. Lundquist, C.; Grossmann, D.A.; Reichart, J.; Holmes, D.O.; Chowdhury, A.; Frieder, O.: Using relevance feedback within the relational model for TREC-5 (1997) 0.01
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Languages

  • e 62
  • d 14
  • chi 1
  • f 1
  • m 1
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Types

  • a 74
  • s 5
  • m 4
  • el 1
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