Search (37 results, page 1 of 2)

  • × theme_ss:"Retrievalstudien"
  1. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.02
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    Date
    20.10.2000 12:22:23
  2. 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
  3. 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
  4. 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
  5. 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
  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) 0.01
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    Date
    27. 2.1999 20:59:22
  7. 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
  8. Wartena, C.; Golub, K.: Evaluierung von Verschlagwortung im Kontext des Information Retrievals (2021) 0.01
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    Abstract
    Dieser Beitrag möchte einen Überblick über die in der Literatur diskutierten Möglichkeiten, Herausforderungen und Grenzen geben, Retrieval als eine extrinsische Evaluierungsmethode für die Ergebnisse verbaler Sacherschließung zu nutzen. Die inhaltliche Erschließung im Allgemeinen und die Verschlagwortung im Besonderen können intrinsisch oder extrinsisch evaluiert werden. Die intrinsische Evaluierung bezieht sich auf Eigenschaften der Erschließung, von denen vermutet wird, dass sie geeignete Indikatoren für die Qualität der Erschließung sind, wie formale Einheitlichkeit (im Hinblick auf die Anzahl zugewiesener Deskriptoren pro Dokument, auf die Granularität usw.), Konsistenz oder Übereinstimmung der Ergebnisse verschiedener Erschließer:innen. Bei einer extrinsischen Evaluierung geht es darum, die Qualität der gewählten Deskriptoren daran zu messen, wie gut sie sich tatsächlich bei der Suche bewähren. Obwohl die extrinsische Evaluierung direktere Auskunft darüber gibt, ob die Erschließung ihren Zweck erfüllt, und daher den Vorzug verdienen sollte, ist sie kompliziert und oft problematisch. In einem Retrievalsystem greifen verschiedene Algorithmen und Datenquellen in vielschichtiger Weise ineinander und interagieren bei der Evaluierung darüber hinaus noch mit Nutzer:innen und Rechercheaufgaben. Die Evaluierung einer Komponente im System kann nicht einfach dadurch vorgenommen werden, dass man sie austauscht und mit einer anderen Komponente vergleicht, da die gleiche Ressource oder der gleiche Algorithmus sich in unterschiedlichen Umgebungen unterschiedlich verhalten kann. Wir werden relevante Evaluierungsansätze vorstellen und diskutieren, und zum Abschluss einige Empfehlungen für die Evaluierung von Verschlagwortung im Kontext von Retrieval geben.
  9. Rijsbergen, C.J. van: ¬A test for the separation of relevant and non-relevant documents in experimental retrieval collections (1973) 0.01
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    Date
    19. 3.1996 11:22:12
  10. Sanderson, M.: ¬The Reuters test collection (1996) 0.01
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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
  11. Lespinasse, K.: TREC: une conference pour l'evaluation des systemes de recherche d'information (1997) 0.01
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    Date
    1. 8.1996 22:01:00
  12. ¬The Fifth Text Retrieval Conference (TREC-5) (1997) 0.01
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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
  13. Pemberton, J.K.; Ojala, M.; Garman, N.: Head to head : searching the Web versus traditional services (1998) 0.01
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    Source
    Online. 22(1998) no.3, S.24-26,28
  14. Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001) 0.01
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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
  15. Ellis, D.: Progress and problems in information retrieval (1996) 0.01
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    Date
    26. 7.2002 20:22:46
  16. ¬The Eleventh Text Retrieval Conference, TREC 2002 (2003) 0.01
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    Abstract
    Proceedings of the llth TREC-conference held in Gaithersburg, Maryland (USA), November 19-22, 2002. Aim of the conference was discussion an retrieval and related information-seeking tasks for large test collection. 93 research groups used different techniques, for information retrieval from the same large database. This procedure makes it possible to compare the results. The tasks are: Cross-language searching, filtering, interactive searching, searching for novelty, question answering, searching for video shots, and Web searching.
  17. Blagden, J.F.: How much noise in a role-free and link-free co-ordinate indexing system? (1966) 0.01
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    Source
    Journal of documentation. 22(1966), S.203-209
  18. Smithson, S.: Information retrieval evaluation in practice : a case study approach (1994) 0.01
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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
  19. Blair, D.C.: STAIRS Redux : thoughts on the STAIRS evaluation, ten years after (1996) 0.01
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    Source
    Journal of the American Society for Information Science. 47(1996) no.1, S.4-22
  20. Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995) 0.01
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    Date
    22. 2.1996 13:14:10