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  1. Sanderson, M.: ¬The Reuters test collection (1996) 0.05
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    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  2. Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001) 0.05
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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
  3. Wood, F.; Ford, N.; Miller, D.; Sobczyk, G.; Duffin, R.: Information skills, searching behaviour and cognitive styles for student-centred learning : a computer-assisted learning approach (1996) 0.04
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    Source
    Journal of information science. 22(1996) no.2, S.79-92
  4. Crestani, F.; Rijsbergen, C.J. van: Information retrieval by imaging (1996) 0.04
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    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  5. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.02
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    Date
    20.10.2000 12:22:23
  6. 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
  7. 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
  8. 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
  9. Burnett, M.; Fisher, C.; Jones, R.: InTEXT precision indexing in TREC4 (1996) 0.02
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  10. Burnett, M.; Jones, R.; Pape, L.: InTEXT automatic query enhancements in TREC-5 (1997) 0.02
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  11. Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997) 0.02
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    Date
    27. 2.1999 20:55:22
  12. 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) 0.02
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    Date
    27. 2.1999 20:59:22
  13. Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983) 0.02
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    Pages
    S.22-25
  14. Smeaton, A.F.; Kelledy, L.; O'Donnell, R.: TREC-4 experiments at Dublin City University : thresholding posting lists, query expansion with WordNet and POS tagging of Spanish (1996) 0.01
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  15. Harman, D.K.: ¬The TREC conferences (1995) 0.01
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    Source
    Hypertext - Information Retrieval - Multimedia: HIM '95. Synergieeffekte elektronischer Informationssysteme. Hrsg.: R. Kuhlen u. M. Rittberger
  16. Ballerini, J.-P.; Büchel, M.; Domenig, R.; Knaus, D.; Mateev, B.; Mittendorf, E.; Schäuble, P.; Wechsler, M.; Sheridan, P.: SPIDER retrieval system at TREC-5 (1997) 0.01
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  17. 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) 0.01
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  18. Amitay, E.; Carmel, D.; Lempel, R.; Soffer, A.: Scaling IR-system evaluation using Term Relevance Sets (2004) 0.01
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  19. Womser-Hacker, C.: Evaluierung im Information Retrieval (2013) 0.01
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    Source
    Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
  20. Salampasis, M.; Tait, J.; Bloor, C.: Evaluation of information-seeking performance in hypermedia digital libraries (1998) 0.01
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    Abstract
    Discusses current information retrieval methods based on recall (R) and precision (P) for evaluating information retrieval and examines their suitability for evaluating the performance of hypermedia digital libraries. Proposes a new quantitative evaluation methodology, based on the structural analysis of hypermedia networks and the navigational and search state patterns of information seekers. Although the proposed methodology retains some of the characteristics of R and P evaluation, it could be more suitable than them for measuring the performance of information-seeking environments where information seekers can utilize arbitrary mixtures of browsing and query-based searching strategies

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