Search (9 results, page 1 of 1)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Suchtaktik"
  1. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.02 
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    Content
    "In einer öffentlichen Bücherei ist die Suche nach einem Werk recht einfach: Man geht einfach die Regale ab, bis man beim richtigen Buchstaben oder Thema angekommen ist. In vielen wissenschaftlichen Bibliotheken ist das komplizierter. Denn dort müssen sich Studenten durch Datenbanken und Zettelkataloge wühlen. "Eine Ausnahme ist der Lesesaal, erklärt Marlene Grau, Sprecherin der Staats- und Universitätsbibliothek in Hamburg. Im Lesesaal stehen die Bücher wie in einer öffentlichen Bibliothek in Reih und Glied nach Fachgebieten wie Jura, Biologie oder Medizin sortiert. So können Studenten ein wenig schmökern und querbeet lesen. Wer jedoch ein bestimmtes Werk sucht, nutzt besser gleich den Katalog der Bibliothek. Darin lässt sich zum einen nach dem Autor oder einem Titelstichwort suchen - in der Biologie etwa "Fliege" oder "Insekt". "Dann kann man hoffen, dass Bücher zum Thema das Stichwort im Titel enthalten", sagt Grau. Die andere Variante ist, nach einem Schlagwort zu suchen. Um das passende zu finden, kann man im Schlagwort-Index blättern. Oder man sucht nach einem bekannten Buch, das zum Thema passt. Dann kann man mit dessen Schlagwörtern weitersuchen. Der Vorteil: Bücher müssen dieses Schlagwort nicht im Titel enthalten. Buchtitel wie 'Keine Angst vor Zahlen' oder 'Grundkurs Rechnen' findet man über die Schlagworte 'Mathematik' und 'Einführung', aber mit Stichworten eher nicht", erklärt Ulrich Hohoff. Er leitet die Universitätsbibliothek in Augsburg.
    Date
    3. 5.1997 8:44:22
  2. Saastamoinen, M.; Järvelin, K.: Search task features in work tasks of varying types and complexity (2017) 0.01 
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    Abstract
    Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.
  3. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.01 
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    Date
    26. 1.2014 18:48:22
  4. Monchaux, S.; Amadieu, F.; Chevalier, A.; Mariné, C.: Query strategies during information searching : effects of prior domain knowledge and complexity of the information problems to be solved (2015) 0.01 
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    Date
    25. 1.2016 18:46:22
  5. Pontis, S.; Blandford, A.; Greifeneder, E.; Attalla, H.; Neal, D.: Keeping up to date : an academic researcher's information journey (2017) 0.01 
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.22-35
  6. Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018) 0.01 
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    Date
    9.12.2018 16:22:25
  7. Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019) 0.01 
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    Date
    20. 1.2015 18:30:22
  8. Hopkins, M.E.; Zavalina, O.L.: Evaluating physicians' serendipitous knowledge discovery in online discovery systems : a new approach (2019) 0.01 
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    Date
    20. 1.2015 18:30:22
  9. Renugadevi, S.; Geetha, T.V.; Gayathiri, R.L.; Prathyusha, S.; Kaviya, T.: Collaborative search using an implicitly formed academic network (2014) 0.01 
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    Date
    20. 1.2015 18:30:22

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