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  • × theme_ss:"Retrievalstudien"
  1. Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989) 0.01
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    Date
    9. 1.1996 10:22:31
  2. Wood, F.; Ford, N.; Miller, D.; Sobczyk, G.; Duffin, R.: Information skills, searching behaviour and cognitive styles for student-centred learning : a computer-assisted learning approach (1996) 0.01
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    Source
    Journal of information science. 22(1996) no.2, S.79-92
  3. 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
  4. Leininger, K.: Interindexer consistency in PsychINFO (2000) 0.01
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    Date
    9. 2.1997 18:44:22
  5. 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
  6. Nelson, M.J.: ¬The effect of query characteristics on retrieval results in the TREC retrieval tests (1995) 0.01
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    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
  7. Greisdorf, H.; O'Connor, B.: Nodes of topicality modeling user notions of on topic documents (2003) 0.01
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  8. Hemminger, B.M.; Saelim, B.; Sullivan, P.F.; Vision, T.J.: Comparison of full-text searching to metadata searching for genes in two biomedical literature cohorts (2007) 0.01
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  9. Scherer, B.: Automatische Indexierung und ihre Anwendung im DFG-Projekt "Gemeinsames Portal für Bibliotheken, Archive und Museen (BAM)" (2003) 0.01
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  10. Sarigil, E.; Sengor Altingovde, I.; Blanco, R.; Barla Cambazoglu, B.; Ozcan, R.; Ulusoy, Ö.: Characterizing, predicting, and handling web search queries that match very few or no results (2018) 0.01
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  11. Vegt, A. van der; Zuccon, G.; Koopman, B.: Do better search engines really equate to better clinical decisions? : If not, why not? (2021) 0.01
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  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. Rajagopal, P.; Ravana, S.D.; Koh, Y.S.; Balakrishnan, V.: Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment (2019) 0.01
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    Date
    20. 1.2015 18:30:22
  19. Naderi, H.; Rumpler, B.: PERCIRS: a system to combine personalized and collaborative information retrieval (2010) 0.01
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  20. Dzeyk, W.: Effektiv und nutzerfreundlich : Einsatz von semantischen Technologien und Usability-Methoden zur Verbesserung der medizinischen Literatursuche (2010) 0.01
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    Abstract
    Bei einem Vergleich unter Berücksichtigung aller verfügbaren Quellen gelang es mithilfe der MorphoSaurus-Technik - bei wesentlich geringerem Datenbestand - ähnlich gute Resul-tate zu erzielen, wie mit den Suchmaschinen Google oder Google Scholar. Die Ergebnisse der Evaluation lassen den Schluss zu, dass durch den MorphoSaurus-Ansatz die Leistungsfähigkeit von Google oder Google Scholar im Bereich der medizinischen Literatursuche durch eine Erweiterung der vorhandenen Datenbasis sogar deutlich übertroffen werden kann. Zusätzlich zu den Retrieval-Tests wurde eine Usability-Untersuchung der Testsuchmaschine mit Probanden aus der Medizin durchgeführt. Die Testpersonen attestierten dem Such-interface eine hohe Gebrauchstauglichkeit und Nützlichkeit. Der szenariobasierte Usability-Test hat zudem gezeigt, dass die Testpersonen bzw. User die integrierten Unterstützungs-maßnahmen zur Erhöhung der Benutzerfreundlichkeit während der Suche als sehr positiv und nützlich bewerten. In der Testsuchmaschine wurde diese Unterstützung z. B. durch das Aufklappen und Präsentieren von verwandten MeSH- und ICD-10-Begriffen realisiert. Die Einführung eines Schiebereglers zur effektiven Eingrenzung des Suchraums wurde ebenfalls überwiegend positiv bewertet. Zudem wurden nach Abschicken der Suchanfrage sogenannte Verwandte Suchbegriffe aus verschiedenen medizinischen Teilbereichen angezeigt. Diese Facetten-Funktion diente der Eingrenzung bzw. Verfeinerung der Suche und wurde von den Testpersonen mehrheitlich als ein sinnvolles Hilfsangebot bewertet. Insgesamt stellt das MorphoSaurus-Projekt - mit seinem spezifischen Ansatz - ein gelungenes Beispiel für die Innovationsfähigkeit von Bibliotheken im Bereich der öffentlichen Informationsversorgung dar. Durch die mögliche Anpassung der MorphoSaurus-Technologie mittels fachspezifischer Thesauri ist zudem eine hohe Anschlussfähigkeit für Suchmaschinen-projekte anderer Inhaltsdomänen gegeben.

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