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  • × theme_ss:"Retrievalstudien"
  1. Reichert, S.; Mayr, P.: Untersuchung von Relevanzeigenschaften in einem kontrollierten Eyetracking-Experiment (2012) 0.03
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    Abstract
    In diesem Artikel wird ein Eyetracking-Experiment beschrieben, bei dem untersucht wurde, wann und auf Basis welcher Informationen Relevanzentscheidungen bei der themenbezogenen Dokumentenbewertung fallen und welche Faktoren auf die Relevanzentscheidung einwirken. Nach einer kurzen Einführung werden relevante Studien aufgeführt, in denen Eyetracking als Untersuchungsmethode für Interaktionsverhalten mit Ergebnislisten (Information Seeking Behavior) verwendet wurde. Nutzerverhalten wird hierbei vor allem durch unterschiedliche Aufgaben-Typen, dargestellte Informationen und durch das Ranking eines Ergebnisses beeinflusst. Durch EyetrackingUntersuchungen lassen sich Nutzer außerdem in verschiedene Klassen von Bewertungs- und Lesetypen einordnen. Diese Informationen können als implizites Feedback genutzt werden, um so die Suche zu personalisieren und um die Relevanz von Suchergebnissen ohne aktives Zutun des Users zu erhöhen. In einem explorativen Eyetracking-Experiment mit 12 Studenten der Hochschule Darmstadt werden anhand der Länge der Gesamtbewertung, Anzahl der Fixationen, Anzahl der besuchten Metadatenelemente und Länge des Scanpfades zwei typische Bewertungstypen identifiziert. Das Metadatenfeld Abstract wird im Experiment zuverlässig als wichtigste Dokumenteigenschaft für die Zuordnung von Relevanz ermittelt.
    Date
    22. 7.2012 19:25:54
  2. Blair, D.C.; Maron, M.E.: ¬An evaluation of retrieval effectiveness for a full-text document-retrieval system (1985) 0.02
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    Footnote
    Vgl. auch : Salton, G.: Another look ... Comm. ACM 29(1986) S.S.648-656; Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23: Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. proc. man. 26(1990) S.437-447.
    Source
    Communications of the Association for Computing Machinery. 28(1985), S.280-299
  3. 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
  4. Rijsbergen, C.J. van: ¬A test for the separation of relevant and non-relevant documents in experimental retrieval collections (1973) 0.01
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    Date
    19. 3.1996 11:22:12
    Source
    Journal of documentation. 29(1973) no.3, S.251-257
  5. Blair, D.C.: Full text retrieval : Evaluation and implications (1986) 0.01
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    Footnote
    Vgl.: Blair, D.C., M.E. Maron: An evaluation ... Comm. ACM 28(1985) S.280-299; Salton, G.: Another look ... Comm. ACM 29(1986) S.648-656; Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. Proc. Man. 26(1990) S.437-447.
  6. Alemayehu, N.: Analysis of performance variation using quey expansion (2003) 0.01
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    Date
    29. 3.2003 19:28:33
  7. Ferret, O.; Grau, B.; Hurault-Plantet, M.; Illouz, G.; Jacquemin, C.; Monceaux, L.; Robba, I.; Vilnat, A.: How NLP can improve question answering (2002) 0.01
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    Date
    6. 1.1997 18:30:28
    Source
    Knowledge organization. 29(2002) nos.3/4, S.135-155
  8. Günther, M.: Vermitteln Suchmaschinen vollständige Bilder aktueller Themen? : Untersuchung der Gewichtung inhaltlicher Aspekte von Suchmaschinenergebnissen in Deutschland und den USA (2016) 0.01
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    Date
    28. 7.2016 16:03:34
    Source
    Young information scientists. 1(2016), S.13-29
  9. Petrelli, D.: On the role of user-centred evaluation in the advancement of interactive information retrieval (2008) 0.01
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    Date
    28. 7.2008 14:31:02
    Source
    Information processing and management. 44(2008) no.1, S.22-38
  10. Schirrmeister, N.-P.; Keil, S.: Aufbau einer Infrastruktur für Information Retrieval-Evaluationen (2012) 0.01
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    Abstract
    Das Projekt "Aufbau einer Infrastruktur für Information Retrieval-Evaluationen" (AIIRE) bietet eine Softwareinfrastruktur zur Unterstützung von Information Retrieval-Evaluationen (IR-Evaluationen). Die Infrastruktur basiert auf einem Tool-Kit, das bei GESIS im Rahmen des DFG-Projekts IRM entwickelt wurde. Ziel ist es, ein System zu bieten, das zur Forschung und Lehre am Fachbereich Media für IR-Evaluationen genutzt werden kann. This paper describes some aspects of a project called "Aufbau einer Infrastruktur für Information Retrieval-Evaluationen" (AIIRE). Its goal is to build a software-infrastructure which supports the evaluation of information retrieval algorithms.
  11. 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
  12. 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
  13. Kluck, M.: ¬Eine deutschsprachige Testdatenbank für moderne Erschließungs- und Retrievalsysteme : German Indexing and Retrieval Testdatabase - GIRT (1996) 0.01
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    Date
    28. 9.1996 20:12:47
  14. Robertson, S.E.; Walker, S.; Beaulieu, M.: Experimentation as a way of life : Okapi at TREC (2000) 0.01
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    Date
    10. 8.2001 21:28:39
  15. Newby, G.B.: Metric multidimensional information space (1997) 0.01
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    Date
    27. 2.1999 20:56:28
  16. Voorhees, E.M.; Harman, D.K.: Overview of the fifth Text Retrieval Conference (TREC-5) (1997) 0.01
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    Pages
    S.1-28
  17. Hofstede, M.: Literatuur over onderwerpen zoeken in de OPC (1994) 0.01
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    Source
    CRI bulletin. 29(1994), Sept., S.14-15
  18. Barry, C.L.; Schamber, L.: Users' criteria for relevance evaluation : a cross-situational comparison (1998) 0.01
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    Abstract
    Takes a cognitive approach toward understanding the behaviours of end users by focusing on the values or criteria they employ in making relevance judgements, or decisions about whether to obtain and use information. Compares and contrasts the results of 2 empirical studies in which criteria were elicited directly from individuals who were seeking information to resolve their own information problems. In 1 study, respondents were faculty and students in an academic environment examining print documents from traditional text-based information retrieval systems. In the other study, respondents were occupational users of weather-related information in a multimedia environment in which sources included interpersonal communication, mass media, weather instruments, and computerised weather systems. Provides evidence that a finite range of criteria exists and that these criteria are applied consistently across types of information users, problem situation, and source environments
  19. Harman, D.K.: ¬The TREC conferences (1995) 0.01
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    Pages
    S.9-28
  20. Callan, J.; Croft, W.B.; Broglio, J.: TREC and TIPSTER experiments with INQUERY (1995) 0.01
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    Date
    25.12.2007 15:28:59

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