Search (15 results, page 1 of 1)

  • × theme_ss:"Retrievalstudien"
  • × year_i:[2000 TO 2010}
  1. Hierl, S.: Bezugsrahmen für die Evaluation von Information Retrieval Systemen mit Visualisierungskomponenten (2007) 0.03
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    Source
    B.I.T.online. 10(2007) H.2, S.xxx-xxx
    Year
    2007
  2. Beall, J.; Kafadar, K.: Measuring typographical errors' impact on retrieval in bibliographic databases (2007) 0.02
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    Source
    Cataloging and classification quarterly. 44(2007) nos.3/4, S.197-211
    Year
    2007
  3. MacFarlane, A.: Evaluation of web search for the information practitioner (2007) 0.02
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    Source
    Aslib proceedings. 59(2007) no.4/5, S.352-366
    Year
    2007
  4. 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
  5. Ruthven, I.; Baillie, M.; Elsweiler, D.: ¬The relative effects of knowledge, interest and confidence in assessing relevance (2007) 0.02
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    Source
    Journal of documentation. 63(2007) no.4, S.482-504
    Year
    2007
  6. Hemminger, B.M.; Saelim, B.; Sullivan, P.F.; Vision, T.J.: Comparison of full-text searching to metadata searching for genes in two biomedical literature cohorts (2007) 0.02
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    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.14, S.2341-2352
    Year
    2007
  7. Mansourian, Y.; Ford, N.: Web searchers' attributions of success and failure: an empirical study (2007) 0.02
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    Source
    Journal of documentation. 63(2007) no.5, S.659-679
    Year
    2007
  8. Mansourian, Y.; Ford, N.: Search persistence and failure on the web : a "bounded rationality" and "satisficing" analysis (2007) 0.02
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    Source
    Journal of documentation. 63(2007) no.5, S.680-701
    Year
    2007
  9. 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
  10. ¬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.
  11. Leininger, K.: Interindexer consistency in PsychINFO (2000) 0.01
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    Date
    9. 2.1997 18:44:22
  12. King, D.W.: Blazing new trails : in celebration of an audacious career (2000) 0.01
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    Date
    22. 9.1997 19:16:05
  13. Petrelli, D.: On the role of user-centred evaluation in the advancement of interactive information retrieval (2008) 0.01
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    Source
    Information processing and management. 44(2008) no.1, S.22-38
  14. TREC: experiment and evaluation in information retrieval (2005) 0.01
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    Footnote
    Rez. in: JASIST 58(2007) no.6, S.910-911 (J.L. Vicedo u. J. Gomez): "The Text REtrieval Conference (TREC) is a yearly workshop hosted by the U.S. government's National Institute of Standards and Technology (NIST) that fosters and supports research in information retrieval as well as speeding the transfer of technology between research labs and industry. Since 1992, TREC has provided the infrastructure necessary for large-scale evaluations of different text retrieval methodologies. TREC impact has been very important and its success has been mainly supported by its continuous adaptation to the emerging information retrieval needs. Not in vain, TREC has built evaluation benchmarks for more than 20 different retrieval problems such as Web retrieval, speech retrieval, or question-answering. The large and intense trajectory of annual TREC conferences has resulted in an immense bulk of documents reflecting the different eval uation and research efforts developed. This situation makes it difficult sometimes to observe clearly how research in information retrieval (IR) has evolved over the course of TREC. TREC: Experiment and Evaluation in Information Retrieval succeeds in organizing and condensing all this research into a manageable volume that describes TREC history and summarizes the main lessons learned. The book is organized into three parts. The first part is devoted to the description of TREC's origin and history, the test collections, and the evaluation methodology developed. The second part describes a selection of the major evaluation exercises (tracks), and the third part contains contributions from research groups that had a large and remarkable participation in TREC. Finally, Karen Spark Jones, one of the main promoters of research in IR, closes the book with an epilogue that analyzes the impact of TREC on this research field.
  15. 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