Search (184 results, page 1 of 10)

  • × theme_ss:"Retrievalstudien"
  • × type_ss:"a"
  • × year_i:[1990 TO 2000}
  1. Shaw, W.M.; Burgin, R.; Howell, P.: Performance standards and evaluations in IR test collections : vector-space and other retrieval models (1997) 0.08
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    Abstract
    Computes low performance standards for each query and for the group of queries in 13 traditional and 4 TREC test collections. Predicted by the hypergeometric distribution, the standards represent the highest level of retrieval effectiveness attributable to chance. Compares operational levels of performance for vector-space, ad-hoc-feature-based, probabilistic, and other retrieval models to the standards. The effectiveness of these techniques in small, traditional test collections, can be explained by retrieving a few more relevant documents for most queries than expected by chance. The effectiveness of retrieval techniques in the larger TREC test collections can only be explained by retrieving many more relevant documents for most queries than expected by chance. The discrepancy between deviations form chance in traditional and TREC test collections is due to a decrease in performance standards for large test collections, not to an increase in operational performance. The next generation of information retrieval systems would be enhanced by abandoning uninformative performance summaries and focusing on effectiveness and improvements in effectiveness of individual queries
    Source
    Information processing and management. 33(1997) no.1, S.15-36
  2. Strzalkowski, T.; Perez-Carballo, J.: Natural language information retrieval : TREC-4 report (1996) 0.08
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    Imprint
    Gaithersburgh, MD : National Institute of Standards and Technology
  3. Newby, G.B.: Metric multidimensional information space (1997) 0.08
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    Imprint
    Gaithersburgh, MD : National Institute of Standards and Technology
  4. Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997) 0.07
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    Date
    27. 2.1999 20:55:22
    Imprint
    Gaithersburgh, MD : National Institute of Standards and Technology
  5. 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) 0.07
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    Date
    27. 2.1999 20:59:22
    Imprint
    Gaithersburgh, MD : National Institute of Standards and Technology
  6. Lespinasse, K.: TREC: une conference pour l'evaluation des systemes de recherche d'information (1997) 0.07
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    Abstract
    TREC ia an annual conference held in the USA devoted to electronic systems for large full text information searching. The conference deals with evaluation and comparison techniques developed since 1992 by participants from the research and industrial fields. The work of the conference is destined for designers (rather than users) of systems which access full text information. Describes the context, objectives, organization, evaluation methods and limits of TREC
    Date
    1. 8.1996 22:01:00
  7. Strzalkowski, T.; Guthrie, L.; Karlgren, J.; Leistensnider, J.; Lin, F.; Perez-Carballo, J.; Straszheim, T.; Wang, J.; Wilding, J.: Natural language information retrieval : TREC-5 report (1997) 0.06
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    Imprint
    Gaithersburgh, MD : National Institute of Standards and Technology
  8. Harman, D.K.: ¬The first text retrieval conference : TREC-1, 1992 (1993) 0.05
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    Abstract
    Reports on the 1st Text Retrieval Conference (TREC-1) held in Rockville, MD, 4-6 Nov. 1992. The TREC experiment is being run by the National Institute of Standards and Technology to allow information retrieval researchers to scale up from small collection of data to larger sized experiments. Gropus of researchers have been provided with text documents compressed on CD-ROM. They used experimental retrieval system to search the text and evaluate the results
    Source
    Information processing and management. 29(1993) no.4, S.411-414
  9. Harman, D.: ¬The Text REtrieval Conferences (TRECs) : providing a test-bed for information retrieval systems (1998) 0.05
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    Abstract
    The Text REtrieval Conference (TREC) workshop series encourages research in information retrieval from large text applications by providing a large test collection, uniform scoring procedures and a forum for organizations interested in comparing their results. Now in its seventh year, the conference has become the major experimental effort in the field. Participants in the TREC conferences have examined a wide variety of retrieval techniques, including methods using automatic thesauri, sophisticated term weighting, natural language techniques, relevance feedback and advanced pattern matching. The TREC conference series is co-sponsored by the National Institute of Standards and Technology (NIST) and the Information Technology Office of the Defense Advanced Research Projects Agency (DARPA)
    Source
    Bulletin of the American Society for Information Science. 24(1998), April/May, S.11-13
  10. 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
    Source
    Journal of the American Society for Information Science. 41(1990) no.4, S.272-281
  11. Nelson, M.J.: ¬The effect of query characteristics on retrieval results in the TREC retrieval tests (1995) 0.04
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    Abstract
    There have been 3 Text Retrieval Conferences (TREC) organized by the National Insitute of Standards and Technology (NIST) over the last 3 years which have compared retrieval results on fairly large databases (at least 1 gigabyte). The queries (called topics), relevance judgements and databases were all provided by NIST. The main goal of the tests was to compare various retrieval algorithms using various measures of retrieval effectiveness. When Tague-Sutcliffe performed an analysis of variance on the average precision there is a large group of systems at the top of the ranking which are not significantly different. In addition the queries contribute more to the mean square the systems. To gather further insight into the results, this research investigates the variations in query properties as a partial explanation for the variation in retrieval scores. For each topic statement for the queries, the length (number of content words), langth of various parts and total number of relevant documents are correlated with the average precision
    Imprint
    Alberta : Alberta University, School of Library and Information Studies
    Source
    Connectedness: information, systems, people, organizations. Proceedings of CAIS/ACSI 95, the proceedings of the 23rd Annual Conference of the Canadian Association for Information Science. Ed. by Hope A. Olson and Denis B. Ward
  12. Davis, M.; Dunning, T.: ¬A TREC evaluation of query translation methods for multi-lingual text retrieval (1996) 0.03
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    Imprint
    Gaithersburgh, MD : National Institute of Standards and Technology
  13. Gauch, S.; Wang, J.: Corpus analysis for TREC 5 query expansion (1997) 0.03
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    Imprint
    Gaithersburgh, MD : National Institute of Standards and Technology
  14. Buckley, C.; Singhal, A.; Mitra, M.; Salton, G.: New retrieval approaches using SMART : TREC 4 (1996) 0.03
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    Imprint
    Gaithersburgh, MD : National Institute of Standards and Technology
  15. Burnett, M.; Fisher, C.; Jones, R.: InTEXT precision indexing in TREC4 (1996) 0.03
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    Imprint
    Gaithersburgh, MD : National Institute of Standards and Technology
  16. Grossman, D.A.; Holmes, D.O.; Frieder, O.; Nguyen, M.D.; Kingsbury, C.E.: Improving accuracy and run-time performance for TREC-4 (1996) 0.03
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