Search (124 results, page 1 of 7)

  • × theme_ss:"Retrievalstudien"
  1. Lespinasse, K.: TREC: une conference pour l'evaluation des systemes de recherche d'information (1997) 0.06 
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    Date
    1. 8.1996 22:01:00
  2. Leininger, K.: Interindexer consistency in PsychINFO (2000) 0.04 
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    Date
    9. 2.1997 18:44:22
  3. Sparck Jones, K.: Retrieval system tests 1958-1978 (1981) 0.04 
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  4. Sparck Jones, K.: ¬The Cranfield tests (1981) 0.04 
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    Source
    Information retrieval experiments. Ed.: K. Sparck Jones
  5. Pal, S.; Mitra, M.; Kamps, J.: Evaluation effort, reliability and reusability in XML retrieval (2011) 0.04 
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    Abstract
    The Initiative for the Evaluation of XML retrieval (INEX) provides a TREC-like platform for evaluating content-oriented XML retrieval systems. Since 2007, INEX has been using a set of precision-recall based metrics for its ad hoc tasks. The authors investigate the reliability and robustness of these focused retrieval measures, and of the INEX pooling method. They explore four specific questions: How reliable are the metrics when assessments are incomplete, or when query sets are small? What is the minimum pool/query-set size that can be used to reliably evaluate systems? Can the INEX collections be used to fairly evaluate "new" systems that did not participate in the pooling process? And, for a fixed amount of assessment effort, would this effort be better spent in thoroughly judging a few queries, or in judging many queries relatively superficially? The authors' findings validate properties of precision-recall-based metrics observed in document retrieval settings. Early precision measures are found to be more error-prone and less stable under incomplete judgments and small topic-set sizes. They also find that system rankings remain largely unaffected even when assessment effort is substantially (but systematically) reduced, and confirm that the INEX collections remain usable when evaluating nonparticipating systems. Finally, they observe that for a fixed amount of effort, judging shallow pools for many queries is better than judging deep pools for a smaller set of queries. However, when judging only a random sample of a pool, it is better to completely judge fewer topics than to partially judge many topics. This result confirms the effectiveness of pooling methods.
    Date
    22. 1.2011 14:20:56
  6. Kuriyama, K.; Kando, N.; Nozue, T.; Eguchi, K.: Pooling for a large-scale test collection : an analysis of the search results from the First NTCIR Workshop (2002) 0.03 
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  7. Robertson, S.E.: ¬The methodology of information retrieval experiment (1981) 0.03 
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  8. Rijsbergen, C.J. van: Retrieval effectiveness (1981) 0.03 
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  9. Belkin, N.J.: Ineffable concepts in information retrieval (1981) 0.03 
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  10. Tague, J.M.: ¬The pragmatics of information retrieval experimentation (1981) 0.03 
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  11. Barraclough, E.D.: Opportunities for testing with online systems (1981) 0.03 
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  12. Keen, E.M.: Laboratory tests of manual systems (1981) 0.03 
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  13. Oddy, R.N.: Laboratory tests : automatic systems (1981) 0.03 
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  14. Heine, M.D.: Simulation, and simulation experiments (1981) 0.03 
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  15. Cooper, W.S.: Gedanken experimentation : an alternative to traditional system testing? (1981) 0.03 
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  16. Evans, L.: ¬An experiment : search strategy variations in SDI (1981) 0.03 
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    Information retrieval experiments. Ed.: K. Sparck Jones
  17. Sparck Jones, K.: Summary performance comparisons TREC-2 through TREC-8 (2001) 0.03 
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  18. TREC: experiment and evaluation in information retrieval (2005) 0.03 
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    Content
    Enthält die Beiträge: 1. The Text REtrieval Conference - Ellen M. Voorhees and Donna K. Harman 2. The TREC Test Collections - Donna K. Harman 3. Retrieval System Evaluation - Chris Buckley and Ellen M. Voorhees 4. The TREC Ad Hoc Experiments - Donna K. Harman 5. Routing and Filtering - Stephen Robertson and Jamie Callan 6. The TREC Interactive Tracks: Putting the User into Search - Susan T. Dumais and Nicholas J. Belkin 7. Beyond English - Donna K. Harman 8. Retrieving Noisy Text - Ellen M. Voorhees and John S. Garofolo 9.The Very Large Collection and Web Tracks - David Hawking and Nick Craswell 10. Question Answering in TREC - Ellen M. Voorhees 11. The University of Massachusetts and a Dozen TRECs - James Allan, W. Bruce Croft and Jamie Callan 12. How Okapi Came to TREC - Stephen Robertson 13. The SMART Project at TREC - Chris Buckley 14. Ten Years of Ad Hoc Retrieval at TREC Using PIRCS - Kui-Lam Kwok 15. MultiText Experiments for TREC - Gordon V. Cormack, Charles L. A. Clarke, Christopher R. Palmer and Thomas R. Lynam 16. A Language-Modeling Approach to TREC - Djoerd Hiemstra and Wessel Kraaij 17. BM Research Activities at TREC - Eric W. Brown, David Carmel, Martin Franz, Abraham Ittycheriah, Tapas Kanungo, Yoelle Maarek, J. Scott McCarley, Robert L. Mack, John M. Prager, John R. Smith, Aya Soffer, Jason Y. Zien and Alan D. Marwick Epilogue: Metareflections on TREC - Karen Sparck Jones
    Footnote
    ... TREC: Experiment and Evaluation in Information Retrieval is a reliable and comprehensive review of the TREC program and has been adopted by NIST as the official history of TREC (see http://trec.nist.gov). We were favorably surprised by the book. Well structured and written, chapters are self-contained and the existence of references to specialized and more detailed publications is continuous, which makes it easier to expand into the different aspects analyzed in the text. This book succeeds in compiling TREC evolution from its inception in 1992 to 2003 in an adequate and manageable volume. Thanks to the impressive effort performed by the authors and their experience in the field, it can satiate the interests of a great variety of readers. While expert researchers in the IR field and IR-related industrial companies can use it as a reference manual, it seems especially useful for students and non-expert readers willing to approach this research area. Like NIST, we would recommend this reading to anyone who may be interested in textual information retrieval."
  19. Lancaster, F.W.: Evaluation within the environment of an operating information service (1981) 0.03 
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    Information retrieval experiment. Ed.: K. Sparck Jones
  20. Salton, G.: ¬The Smart environment for retrieval systeme valuation : advantages and problem areas (1981) 0.03 
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  0.5 = coord(1/2)
    Source
    Information retrieval experiments. Ed.: K. Sparck Jones

Authors

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  • e 112
  • d 9
  • f 1
  • m 1
  • More… Less…

Types

  • a 112
  • s 8
  • m 5
  • el 3
  • r 1
  • More… Less…

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