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  • × theme_ss:"Retrievalstudien"
  1. Harman, D.K.: ¬The first text retrieval conference : TREC-1, 1992 (1993) 0.02
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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
  2. Sanderson, M.: ¬The Reuters test collection (1996) 0.02
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    Abstract
    Describes the Reuters test collection, which at 22.173 references is significantly larger than most traditional test collections. In addition, Reuters has none of the recall calculation problems normally associated with some of the larger test collections available. Explains the method derived by D.D. Lewis to perform retrieval experiments on the Reuters collection and illustrates the use of the Reuters collection using some simple retrieval experiments that compare the performance of stemming algorithms
    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
  3. Gilchrist, A.: Research and consultancy (1998) 0.02
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    Abstract
    State of the art review of literature published about research and consultancy in library and information science (LIS). Issues covered include: scope and definitions of what constitutes research and consultancy; funding of research and development; national LIS research and the funding agencies; electronic libraries; document delivery; multimedia document delivery; the Z39.50 standard for client server computer architecture, the Internet and WWW; electronic publishing; information retrieval; evaluation and evaluation techniques; the Text Retrieval Conferences (TREC); the user domain; management issues; decision support systems; information politics and organizational culture; and value for money issues
  4. Wolff, C.: Leistungsvergleich der Retrievaloberflächen zwischen Web und klassischen Expertensystemen (2001) 0.02
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    Abstract
    Die meisten Web-Auftritte der Hosts waren bisher für den Retrieval-Laien gedacht. Im Hintergrund steht dabei das Ziel: mehr Nutzung durch einfacheres Retrieval. Dieser Ansatz steht aber im Konflikt mit der wachsenden Datenmenge und Dokumentgröße, die eigentlich ein immer ausgefeilteres Retrieval verlangen. Häufig wird von Information Professionals die Kritik geäußert, dass die Webanwendungen einen Verlust an Relevanz bringen. Wie weit der Nutzer tatsächlich einen Kompromiss zwischen Relevanz und Vollständigkeit eingehen muss, soll in diesem Beitrag anhand verschiedener Host-Rechner quantifiziert werden
    Theme
    Internet
  5. Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995) 0.02
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    Abstract
    The performance of an information retrieval or text and media filtering system may be determined through analytic methods as well as by traditional simulation or experimental methods. These analytic methods can provide precise statements about expected performance. They can thus determine which of 2 similarly performing systems is superior. For both a single query terms and for a multiple query term retrieval model, a model for comparing the performance of different probabilistic retrieval methods is developed. This method may be used in computing the average search length for a query, given only knowledge of database parameter values. Describes predictive models for inverse document frequency, binary independence, and relevance feedback based retrieval and filtering. Simulation illustrate how the single term model performs and sample performance predictions are given for single term and multiple term problems
    Date
    22. 2.1996 13:14:10
  6. Voorhees, E.M.: On test collections for adaptive information retrieval (2008) 0.02
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    Abstract
    Traditional Cranfield test collections represent an abstraction of a retrieval task that Sparck Jones calls the "core competency" of retrieval: a task that is necessary, but not sufficient, for user retrieval tasks. The abstraction facilitates research by controlling for (some) sources of variability, thus increasing the power of experiments that compare system effectiveness while reducing their cost. However, even within the highly-abstracted case of the Cranfield paradigm, meta-analysis demonstrates that the user/topic effect is greater than the system effect, so experiments must include a relatively large number of topics to distinguish systems' effectiveness. The evidence further suggests that changing the abstraction slightly to include just a bit more characterization of the user will result in a dramatic loss of power or increase in cost of retrieval experiments. Defining a new, feasible abstraction for supporting adaptive IR research will require winnowing the list of all possible factors that can affect retrieval behavior to a minimum number of essential factors.
    Date
    22.11.2008 16:29:00
    Footnote
    Beitrag in einem Themenheft "Adaptive information retrieval"
  7. Crestani, F.; Rijsbergen, C.J. van: Information retrieval by imaging (1996) 0.02
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    Abstract
    Explains briefly what constitutes the imaging process and explains how imaging can be used in information retrieval. Proposes an approach based on the concept of: 'a term is a possible world'; which enables the exploitation of term to term relationships which are estimated using an information theoretic measure. Reports results of an evaluation exercise to compare the performance of imaging retrieval, using possible world semantics, with a benchmark and using the Cranfield 2 document collection to measure precision and recall. Initially, the performance imaging retrieval was seen to be better but statistical analysis proved that the difference was not significant. The problem with imaging retrieval lies in the amount of computations needed to be performed at run time and a later experiement investigated the possibility of reducing this amount. Notes lines of further investigation
    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
  8. ¬The Fifth Text Retrieval Conference (TREC-5) (1997) 0.02
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    Abstract
    Proceedings of the 5th TREC-confrerence held in Gaithersburgh, Maryland, Nov 20-22, 1996. Aim of the conference was discussion on retrieval techniques for large test collections. Different research groups used different techniques, such as automated thesauri, term weighting, natural language techniques, relevance feedback and advanced pattern matching, for information retrieval from the same large database. This procedure makes it possible to compare the results. The proceedings include papers, tables of the system results, and brief system descriptions including timing and storage information
  9. ¬The Eleventh Text Retrieval Conference, TREC 2002 (2003) 0.02
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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.
  10. Voorhees, E.M.: Question answering in TREC (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  11. TREC-1: The first text retrieval conference : Rockville, MD, USA, 4-6 Nov. 1993 (1993) 0.02
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    Source
    Information processing and management. 29(1993) no.4, S.411-521
  12. Cormack, G.V.; Clarke, C.L.A.; Palmer, C.R.; Lynam, T.R.: MultiText experiments for TREC (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  13. Dumais, S.T.; Belkin, N.J.: ¬The TREC interactive tracks : putting the user into search (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  14. Hawking, D.; Craswell, N.: ¬The very large collection and Web tracks (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  15. Allan, J.; Croft, W.B.; Callan, J.: ¬The University of Massachusetts and a dozen TRECs (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  16. Robertson, S.: How Okapi came to TREC (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  17. Buckley, C.: ¬The SMART Project at TREC (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  18. Hiemstra, D.; Kraaij, W.: ¬A language-modeling approach to TREC (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  19. Sparck Jones, K.: Metareflections on TREC (2005) 0.02
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    Date
    29. 3.1996 18:16:49
    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  20. Alemayehu, N.: Analysis of performance variation using quey expansion (2003) 0.02
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    Abstract
    Information retrieval performance evaluation is commonly made based an the classical recall and precision based figures or graphs. However, important information indicating causes for variation may remain hidden under the average recall and precision figures. Identifying significant causes for variation can help researchers and developers to focus an opportunities for improvement that underlay the averages. This article presents a case study showing the potential of a statistical repeated measures analysis of variance for testing the significance of factors in retrieval performance variation. The TREC-9 Query Track performance data is used as a case study and the factors studied are retrieval method, topic, and their interaction. The results show that retrieval method, topic, and their interaction are all significant. A topic level analysis is also made to see the nature of variation in the performance of retrieval methods across topics. The observed retrieval performances of expansion runs are truly significant improvements for most of the topics. Analyses of the effect of query expansion an document ranking confirm that expansion affects ranking positively.
    Date
    29. 3.2003 19:28:33

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