Search (62 results, page 1 of 4)

  • × theme_ss:"Retrievalstudien"
  1. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.03
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    Date
    20.10.2000 12:22:23
  2. Lancaster, F.W.; Connell, T.H.; Bishop, N.; McCowan, S.: Identifying barriers to effective subject access in library catalogs (1991) 0.03
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    Source
    Library resources and technical services. 35(1991), S.377-391
  3. Alemayehu, N.: Analysis of performance variation using quey expansion (2003) 0.02
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.5, S.379-391
  4. Larsen, B.; Ingwersen, P.; Lund, B.: Data fusion according to the principle of polyrepresentation (2009) 0.01
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    Date
    22. 3.2009 18:48:28
  5. Wildemuth, B.; Freund, L.; Toms, E.G.: Untangling search task complexity and difficulty in the context of interactive information retrieval studies (2014) 0.01
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    Date
    6. 4.2015 19:31:22
  6. Biebricher, P.; Fuhr, N.; Niewelt, B.: ¬Der AIR-Retrievaltest (1986) 0.01
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  7. 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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  8. Griesbaum, J.; Rittberger, M.; Bekavac, B.: Deutsche Suchmaschinen im Vergleich : AltaVista.de, Fireball.de, Google.de und Lycos.de (2002) 0.01
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  9. Wilkes, A.; Nelson, A.: Subject searching in two online catalogs : authority control vs. non authority control (1995) 0.01
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    Abstract
    Compares the results of subject searching in 2 online catalogue systems, one system with authority control, the other without. Transaction logs from Library A (no authority control) were analyzed to identify searching patterns of users; 885 searches were attempted, 351 (39,7%) by subject. 142 (40,6%) of these subject searches were unsuccessful. Identical searches were performed in a comparable library that has authority control, Library B. Terms identified in 'see' references at Library B were searched in Library A. 105 (73,9%) of the searches that appeared to fail would have retrievd at least one, and usually many, records if a link had been provided between the term chosen by the user and the term used by the system
  10. Knorz, G.: Testverfahren für intelligente Indexierungs- und Retrievalsysteme anhand deutsch-sprachiger sozialwissenschaftlicher Fachinformation (GIRT) : Bericht über einen Workshop am 12. September 1997 im IZ Sozialwissenschaften, Bonn (1998) 0.01
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    Content
    A. Die Initiative "GIRT" 1. Vorträge 2. Ziele und Perspektiven des Projektes GIRT (Krause) 3. Generelle Ergebnisse der TREC-Studien, einschließlich TREC-5 (Womser-Hacker) 4. Ergebnisse des GIRT-Pretests (Kluck) 5. Multilingualität in TREC (Schäuble) B. Abschlußdiskussion und Resumee
  11. Carterette, B.: Test collections (2009) 0.01
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  12. Allen, B.: Logical reasoning and retrieval performance (1993) 0.01
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  13. Barker, A.L.: Non-Boolean searching on commercial online systems : optimising use of Dialog TARGET and ESA/IRS QUESTQUORUM (1995) 0.01
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    Source
    Online information 95: Proceedings of the 19th International online information meeting, London, 5-7 December 1995. Ed.: D.I. Raitt u. B. Jeapes
  14. Iivonen, M.: Factors lowering the consistency in online searching (1995) 0.01
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    Source
    Online information 95: Proceedings of the 19th International online information meeting, London, 5-7 December 1995. Ed.: D.I. Raitt u. B. Jeapes
  15. Nicholas, D.: Are information professionals really better online searchers than end-users? : (and whose story do you believe?) (1995) 0.01
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    Source
    Online information 95: Proceedings of the 19th International online information meeting, London, 5-7 December 1995. Ed.: D.I. Raitt u. B. Jeapes
  16. Shafique, M.; Chaudhry, A.S.: Intelligent agent-based online information retrieval (1995) 0.01
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    Source
    Online information 95: Proceedings of the 19th International online information meeting, London, 5-7 December 1995. Ed.: D.I. Raitt u. B. Jeapes
  17. Smith, M.P.; Pollitt, A.S.: Ranking and relevance feedback extensions to a view-based searching system (1995) 0.01
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    Source
    Online information 95: Proceedings of the 19th International online information meeting, London, 5-7 December 1995. Ed.: D.I. Raitt u. B. Jeapes
  18. Ferret, O.; Grau, B.; Hurault-Plantet, M.; Illouz, G.; Jacquemin, C.; Monceaux, L.; Robba, I.; Vilnat, A.: How NLP can improve question answering (2002) 0.01
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  19. Mielke, B.: Wider einige gängige Ansichten zur juristischen Informationserschließung (2002) 0.01
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  20. Breuer, T.; Tavakolpoursaleh, N.; Schaer, P.; Hienert, D.; Schaible, J.; Castro, L.J.: Online Information Retrieval Evaluation using the STELLA Framework (2022) 0.01
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    Abstract
    Involving users in early phases of software development has become a common strategy as it enables developers to consider user needs from the beginning. Once a system is in production, new opportunities to observe, evaluate and learn from users emerge as more information becomes available. Gathering information from users to continuously evaluate their behavior is a common practice for commercial software, while the Cranfield paradigm remains the preferred option for Information Retrieval (IR) and recommendation systems in the academic world. Here we introduce the Infrastructures for Living Labs STELLA project which aims to create an evaluation infrastructure allowing experimental systems to run along production web-based academic search systems with real users. STELLA combines user interactions and log files analyses to enable large-scale A/B experiments for academic search.

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