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  • × theme_ss:"Retrievalstudien"
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  1. Crestani, F.; Rijsbergen, C.J. van: Information retrieval by imaging (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
  2. Leininger, K.: Interindexer consistency in PsychINFO (2000) 0.01
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    Date
    9. 2.1997 18:44:22
  3. Reichert, S.; Mayr, P.: Untersuchung von Relevanzeigenschaften in einem kontrollierten Eyetracking-Experiment (2012) 0.01
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    Date
    22. 7.2012 19:25:54
  4. Mettrop, W.; Nieuwenhuysen, P.: Internet search engines : fluctuations in document accessibility (2001) 0.01
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  5. Radev, D.R.; Libner, K.; Fan, W.: Getting answers to natural language questions on the Web (2002) 0.01
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  6. Saracevic, T.: Effects of inconsistent relevance judgments on information retrieval test results : a historical perspective (2008) 0.01
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    Content
    Beitrag in einem Themenheft 'The Influence of F. W. Lancaster on Information Science and on Libraries', das als Festschrift für F.W. Lancaster deklariert ist.
  7. Belkin, N.J.: ¬An overview of results from Rutgers' investigations of interactive information retrieval (1998) 0.01
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    Date
    22. 9.1997 19:16:05
  8. 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
  9. 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
  10. Pal, S.; Mitra, M.; Kamps, J.: Evaluation effort, reliability and reusability in XML retrieval (2011) 0.01
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    Date
    22. 1.2011 14:20:56
  11. Chu, H.: Factors affecting relevance judgment : a report from TREC Legal track (2011) 0.01
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    Date
    12. 7.2011 18:29:22
  12. 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
  13. Ravana, S.D.; Taheri, M.S.; Rajagopal, P.: Document-based approach to improve the accuracy of pairwise comparison in evaluating information retrieval systems (2015) 0.01
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    Date
    20. 1.2015 18:30:22
  14. Lancaster, F.W.: Evaluating the performance of a large computerized information system (1985) 0.00
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    Abstract
    F. W. Lancaster is known for his writing an the state of the art in librarylinformation science. His skill in identifying significant contributions and synthesizing literature in fields as diverse as online systems, vocabulary control, measurement and evaluation, and the paperless society have earned him esteem as a chronicler of information science. Equally deserving of repute is his own contribution to research in the discipline-his evaluation of the MEDLARS operating system. The MEDLARS study is notable for several reasons. It was the first large-scale application of retrieval experiment methodology to the evaluation of an actual operating system. As such, problems had to be faced that do not arise in laboratory-like conditions. One example is the problem of recall: how to determine, for a very large and dynamic database, the number of documents relevant to a given search request. By solving this problem and others attendant upon transferring an experimental methodology to the real world, Lancaster created a constructive procedure that could be used to improve the design and functioning of retrieval systems. The MEDLARS study is notable also for its contribution to our understanding of what constitutes a good index language and good indexing. The ideal retrieval system would be one that retrieves all and only relevant documents. The failures that occur in real operating systems, when a relevant document is not retrieved (a recall failure) or an irrelevant document is retrieved (a precision failure), can be analysed to assess the impact of various factors an the performance of the system. This is exactly what Lancaster did. He found both the MEDLARS indexing and the McSH index language to be significant factors affecting retrieval performance. The indexing, primarily because it was insufficiently exhaustive, explained a large number of recall failures. The index language, largely because of its insufficient specificity, accounted for a large number of precision failures. The purpose of identifying factors responsible for a system's failures is ultimately to improve the system. Unlike many user studies, the MEDLARS evaluation yielded recommendations that were eventually implemented.* Indexing exhaustivity was increased and the McSH index language was enriched with more specific terms and a larger entry vocabulary.
  15. Larsen, B.; Ingwersen, P.; Lund, B.: Data fusion according to the principle of polyrepresentation (2009) 0.00
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    Date
    22. 3.2009 18:48:28

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