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  • × theme_ss:"Retrievalstudien"
  1. Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998) 0.04 
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    Language
    e
    Source
    Online. 22(1998) no.6, S.57-58
  2. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.04 
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    Date
    11. 8.2001 16:22:19
    Language
    e
  3. Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990) 0.04 
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    Date
    22. 7.2006 18:43:54
    Language
    e
  4. Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001) 0.04 
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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
  5. 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
    Language
    e
  6. 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) 0.03 
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    Date
    27. 2.1999 20:59:22
    Language
    e
  7. Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983) 0.03 
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    Language
    e
    Pages
    S.22-25
  8. Reichert, S.; Mayr, P.: Untersuchung von Relevanzeigenschaften in einem kontrollierten Eyetracking-Experiment (2012) 0.03 
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    Abstract
    In diesem Artikel wird ein Eyetracking-Experiment beschrieben, bei dem untersucht wurde, wann und auf Basis welcher Informationen Relevanzentscheidungen bei der themenbezogenen Dokumentenbewertung fallen und welche Faktoren auf die Relevanzentscheidung einwirken. Nach einer kurzen Einführung werden relevante Studien aufgeführt, in denen Eyetracking als Untersuchungsmethode für Interaktionsverhalten mit Ergebnislisten (Information Seeking Behavior) verwendet wurde. Nutzerverhalten wird hierbei vor allem durch unterschiedliche Aufgaben-Typen, dargestellte Informationen und durch das Ranking eines Ergebnisses beeinflusst. Durch EyetrackingUntersuchungen lassen sich Nutzer außerdem in verschiedene Klassen von Bewertungs- und Lesetypen einordnen. Diese Informationen können als implizites Feedback genutzt werden, um so die Suche zu personalisieren und um die Relevanz von Suchergebnissen ohne aktives Zutun des Users zu erhöhen. In einem explorativen Eyetracking-Experiment mit 12 Studenten der Hochschule Darmstadt werden anhand der Länge der Gesamtbewertung, Anzahl der Fixationen, Anzahl der besuchten Metadatenelemente und Länge des Scanpfades zwei typische Bewertungstypen identifiziert. Das Metadatenfeld Abstract wird im Experiment zuverlässig als wichtigste Dokumenteigenschaft für die Zuordnung von Relevanz ermittelt.
    Date
    22. 7.2012 19:25:54
  9. Rijsbergen, C.J. van: ¬A test for the separation of relevant and non-relevant documents in experimental retrieval collections (1973) 0.02 
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    Date
    19. 3.1996 11:22:12
    Language
    e
  10. Sanderson, M.: ¬The Reuters test collection (1996) 0.02 
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    Language
    e
    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
  11. ¬The Fifth Text Retrieval Conference (TREC-5) (1997) 0.02 
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    Abstract
    Proceedings of the 5th TREC-confrerence held in Gaithersburgh, Maryland, Nov 20-22, 1996. Aim of the conference was discussion on retrieval techniques for large test collections. Different research groups used different techniques, such as automated thesauri, term weighting, natural language techniques, relevance feedback and advanced pattern matching, for information retrieval from the same large database. This procedure makes it possible to compare the results. The proceedings include papers, tables of the system results, and brief system descriptions including timing and storage information
    Language
    e
  12. Pemberton, J.K.; Ojala, M.; Garman, N.: Head to head : searching the Web versus traditional services (1998) 0.02 
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    Language
    e
    Source
    Online. 22(1998) no.3, S.24-26,28
  13. Ellis, D.: Progress and problems in information retrieval (1996) 0.02 
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    Date
    26. 7.2002 20:22:46
    Language
    e
  14. Blagden, J.F.: How much noise in a role-free and link-free co-ordinate indexing system? (1966) 0.02 
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    Language
    e
    Source
    Journal of documentation. 22(1966), S.203-209
  15. Smithson, S.: Information retrieval evaluation in practice : a case study approach (1994) 0.02 
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    Abstract
    The evaluation of information retrieval systems is an important yet difficult operation. This paper describes an exploratory evaluation study that takes an interpretive approach to evaluation. The longitudinal study examines evaluation through the information-seeking behaviour of 22 case studies of 'real' users. The eclectic approach to data collection produced behavioral data that is compared with relevance judgements and satisfaction ratings. The study demonstrates considerable variations among the cases, among different evaluation measures within the same case, and among the same measures at different stages within a single case. It is argued that those involved in evaluation should be aware of the difficulties, and base any evaluation on a good understanding of the cases in question
    Language
    e
  16. Blair, D.C.: STAIRS Redux : thoughts on the STAIRS evaluation, ten years after (1996) 0.02 
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    Language
    e
    Source
    Journal of the American Society for Information Science. 47(1996) no.1, S.4-22
  17. Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995) 0.02 
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    Date
    22. 2.1996 13:14:10
    Language
    e
  18. Hodges, P.R.: Keyword in title indexes : effectiveness of retrieval in computer searches (1983) 0.02 
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    Date
    14. 3.1996 13:22:21
    Language
    e
  19. Brown, M.E.: By any other name : accounting for failure in the naming of subject categories (1995) 0.02 
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    Date
    2.11.1996 13:08:22
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    e
  20. Sachse, E.; Liebig, M.; Gödert, W.: Automatische Indexierung unter Einbeziehung semantischer Relationen : Ergebnisse des Retrievaltests zum MILOS II-Projekt (1998) 0.02 
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    Abstract
    Im Rahmen von MILOS II wurde das erste MILOS-Projekt zur automatischen Indexierung von Titeldaten um eine semantischer Komponente erweitert, indem Thesaurusrelationen der Schlagwortnormdatei eingebunden wurden. Der abschließend zur Evaluierung durchgeführte Retrievaltest und seine Ergebnisse stehen im Mittelpunkt dieses Texts. Zusätzlich wird ein Überblick über bereits durchgeführte Retrievaltests (vorwiegend des anglo-amerikanischen Raums) gegeben und es wird erläutert, welche grundlegenden Fragestellungen bei der praktischen Durchführung eines Retrievaltests zu beachten sind

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