Search (119 results, page 1 of 6)

  • × theme_ss:"Retrievalstudien"
  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) 0.08
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    Date
    27. 2.1999 20:59:22
  2. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.04
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    Date
    20.10.2000 12:22:23
    Source
    Deutscher Dokumentartag 1983, Göttingen, 3.-7.10.1983: Fachinformation und Bildschirmtext. Bearb.: H. Strohl-Goebel
  3. Ellis, D.: Progress and problems in information retrieval (1996) 0.03
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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)
  4. Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997) 0.03
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    Date
    27. 2.1999 20:55:22
  5. Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001) 0.03
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    Abstract
    Die deutschen Suchmaschinen, Abacho, Acoon, Fireball und Lycos sowie die Web-Kataloge Web.de und Yahoo! werden einem Qualitätstest nach relativem Recall, Precision und Availability unterzogen. Die Methoden der Retrievaltests werden vorgestellt. Im Durchschnitt werden bei einem Cut-Off-Wert von 25 ein Recall von rund 22%, eine Precision von knapp 19% und eine Verfügbarkeit von 24% erreicht
    Footnote
    Vgl. auch den Bericht in: nfd 53(2002) H.2, S.71
    Source
    nfd Information - Wissenschaft und Praxis. 52(2001) H.7, S.381-392
  6. Belkin, N.J.; Cabezas, A.; Cool, C.; Kim, K.; Ng, K.B.; Park, S.; Pressman, R.; Rieh, S.; Savage, P.; Xie, H.: Rutgers interactive track at TREC-5 (1997) 0.03
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  7. Petras, V.; Womser-Hacker, C.: Evaluation im Information Retrieval (2023) 0.03
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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).
  8. Bauer, G.; Schneider, C.: PADOK-II : Untersuchungen zur Volltextproblematik und zur interpretativen Analyse der Retrievalprotokolle (1990) 0.02
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    Source
    Nachrichten für Dokumentation. 41(1990) H.1, S.21-26
  9. Krause, J.; Womser-Hacker, C.: PADOK-II : Retrievaltests zur Bewertung von Volltextindexierungsvarianten für das deutsche Patentinformationssystem (1990) 0.02
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    Source
    Nachrichten für Dokumentation. 41(1990) H.1, S.13-19
  10. Kluck, M.; Mandl, T.; Womser-Hacker, C.: Cross-Language Evaluation Forum (CLEF) : Europäische Initiative zur Bewertung sprachübergreifender Retrievalverfahren (2002) 0.02
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    Source
    Information - Wissenschaft und Praxis. 53(2002) H.2, S.82-89
  11. Reichert, S.; Mayr, P.: Untersuchung von Relevanzeigenschaften in einem kontrollierten Eyetracking-Experiment (2012) 0.02
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    Date
    22. 7.2012 19:25:54
    Source
    Information - Wissenschaft und Praxis. 63(2012) H.3, S.145-156
  12. Prabha, C.: ¬The large retrieval phenomenon (1991) 0.02
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  13. Chu, H.: Factors affecting relevance judgment : a report from TREC Legal track (2011) 0.02
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    Date
    12. 7.2011 18:29:22
  14. Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998) 0.01
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    Source
    Online. 22(1998) no.6, S.57-58
  15. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.01
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    Date
    11. 8.2001 16:22:19
  16. Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990) 0.01
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    Date
    22. 7.2006 18:43:54
  17. Buckley, C.; Voorhees, E.M.: Retrieval system evaluation (2005) 0.01
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  19. Burnett, M.; Fisher, C.; Jones, R.: InTEXT precision indexing in TREC4 (1996) 0.01
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  20. Singhal, A.; Buckley, C.; Mitra, M.: Using query zoning and correlation with SMART : TREC 5 (1997) 0.01
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Languages

  • e 77
  • d 33
  • chi 3
  • nl 3
  • f 1
  • m 1
  • More… Less…

Types

  • a 110
  • m 5
  • s 5
  • el 1
  • r 1
  • x 1
  • More… Less…