Search (31 results, page 1 of 2)

  • × theme_ss:"Suchtaktik"
  1. Tenopir, C.; Nahl-Jakobovits, D.; Howard, D.L.: Strategies and assessments online : novices' experience (1991) 0.07 
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  2. Jansen, B.J.; Booth, D.L.; Spink, A.: Determining the informational, navigational, and transactional intent of Web queries (2008) 0.05 
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  3. Jansen, B.J.; Booth, D.L.; Spink, A.: Patterns of query reformulation during Web searching (2009) 0.05 
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  4. Jansen, B.J.; Booth, D.L.; Smith, B.K.: Using the taxonomy of cognitive learning to model online searching (2009) 0.04 
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  5. 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
    "Ein häufiger Fehler ist auch, bei Google nach Büchern zu suchen", sagt Grau. Die Suchmaschine enthält keine Bibliotheksdaten. Außerdem sollten Studenten darauf achten, ob sie nach einem Zeitschriften-Artikel oder einer Monografie suchen. Benötigt man einen Aufsatz, muss man nach dem Titel der Zeitschrift und nicht nach dem Titel des Artikels suchen. Wichtig ist auch, den Suchschlüssel zu beachten. Wer nach dem Autor Johann Wolfgang von Goethe sucht, aber das Wort in der Titelsuche eingibt, bekommt andere Treffermengen. Studenten sollten die Suche auch nicht zu sehr eingrenzen. "Dann findet man nichts", warnt Grau. Andererseits darf man auch nicht zu allgemein suchen. Wer nach einem Buch zur deutschen Geschichte sucht, bekommt bei der Eingabe von "deutsche Geschichte" Tausende Treffer. "Da muss man den richtigen Suchschlüssel auswählen", erklärt Grau. Wer im Feld "Titelanfänge" etwa "deutsche Geschichte" eingibt, finde alle Titel mit diesen Wörtern in genau dieser Reihenfolge. Er lande also nicht beim Buch "Deutsche Naturlyrik: ihre Geschichte in Einzelanalysen". Das ist bei weit gefassten Begriffen sehr wichtig und hilfreich."
    Date
    3. 5.1997 8:44:22
  6. Morse, P.M.: Search theory and browsing (1970) 0.02 
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    Date
    22. 5.2005 19:53:09
  7. Morse, P.M.: Browsing and search theory (1973) 0.01 
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    Date
    22. 5.2005 19:52:29
  8. Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000) 0.01 
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    Source
    Library and information science research. 22(2000) no.4, S.371-382
  9. Pejtersen, A.M.: Design of a classification scheme for fiction based on an analysis of actual user-librarian communication, and use of the scheme for control of librarians' search strategies (1980) 0.01 
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    Date
    5. 8.2006 13:22:44
  10. Hsieh-Yee, I.: Search tactics of Web users in searching for texts, graphics, known items and subjects : a search simulation study (1998) 0.01 
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    Date
    25.12.1998 19:22:31
  11. Limberg, L.: Three conceptions of information seeking and use (1999) 0.01 
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    Date
    22. 3.2002 9:53:10
  12. Lin, S.-j.; Belkin, N.: Validation of a model of information seeking over multiple search sessions (2005) 0.01 
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    Date
    10. 4.2005 14:52:22
  13. Koopmans, N.I.: What's your question? : The need for research information from the perspective of different user groups (2002) 0.01 
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    Date
    2. 7.2005 12:22:50
  14. Crestani, F.; Du, H.: Written versus spoken queries : a qualitative and quantitative comparative analysis (2006) 0.01 
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    Date
    5. 6.2006 11:22:23
  15. Xu, Y.: ¬The dynamics of interactive information retrieval behavior : part I: an activity theory perspective (2007) 0.01 
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    Date
    27. 5.2007 13:55:22
  16. Lee, S.-S.; Theng, Y.-L.; Goh, D.H.-L.: Creative information seeking : part II: empirical verification (2007) 0.01 
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    Date
    23.12.2007 12:22:16
  17. 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.
  18. Morville, P.: Ambient findability : what we find changes who we become (2005) 0.01 
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    Footnote
    Für wen wurde dieses Buch eigentlich geschrieben? Der Verlag, sonst für eher praktisch orientierte Computerbücher bekannt, ordnet es auf dem Umschlag den Bereichen "Marketing" sowie "Technology & Society" zu. Für letztere Zielgruppe ist es aber sicher weniger geeignet, da auch der gesellschaftliche Hintergrund zu dünn ist. So bleibt der Bereich Marketing oder doch eher die Zielgruppe derjenigen, die ohne fachbezogenes Studium in den Bereich Informationssysteme bzw. Informationsarchitektur "hineingeschlittert" sind. Für diese mag auch das Kapitel über "Information Interaction" (bedingt) geeignet sein, bietet es doch zumindest einen gut lesbaren Einblick in einige zentrale Punkte. Das vierte Kapitel ("Intertwingled") beschreibt den Zugriff auf Informationen mittels verschiedener Erdgeräte in unterschiedlichen Kontexten. Es geht hier neben neuen Ansätzen des Wegefindens, um lokalisierbare Objekte und Kleidung, in die Informationstechnologie mit eingebaut ist. Dabei handelt es sich um einen guten (und vor allem beispielreichen) Überblick der aufkommenden Technologien. Kapitel s behandelt die Integration von Push- und PullAnsätzen, wobei die zentrale Aussage lautet, dass beide Ansätze immer mehr zusammenwachsen und die Entscheidung für den einen oder den anderen Ansatz vom Nutzer spontan gemäß seinen Informationsbedürfnissen getroffen wird. In diesem Kapitel wird auch das Thema Personalisierung abgehandelt und auf die bei der Personalisierung entstehenden Probleme eingegangen. Lange Zeit wurde Personalisierung schlicht als ein Verfahren gesehen, aus einmal erfassten Nutzerdaten Empfehlungen abzuleiten. Dass dies nicht problemlos möglich ist, erläutert Morville an einigen Punkten. Etwas bedauerlich ist hier, dass die Erläuterungen sehr knapp gehalten sind. Gerade zu diesem interessanten Thema hätte man gerne mehr Details erfahren.
    Im Kapitel über das "Sociosemantic Web" werden die groben Grundzüge der Klassifikationslehre erläutert, um dann ausführlich auf neuere Ansätze der Web-Erschließung wie Social Tagging und Folksonomies einzugehen. Auch dieses Kapitel gibt eher einen Überblick als den schon Kundigen vertiefende Informationen zu liefern. Das letzte Kapitel widmet sich schließlich der Art, wie Entscheidungen getroffen werden, der Network Culture, dem Information Overload, um schließlich zu den "Inspired Decisions" zu gelangen - Entscheidungen, die sowohl auf "sachlichen Informationen" (also den klassischen Zutaten der "informed decisions") als auch aus aus Netzwerken stammenden Informationen wie etwa Empfehlungen durch Freunde oder Community-Mitglieder irgendeiner Art gewonnen werden. Fasst man zusammen, so ist an Morvilles Text besonders bemerkenswert, dass nach einigen Jahren, in denen die Suche im Web als ein Problem der Suche in unstrukturierten Daten angesehen wurde, nun wieder verstärkt Erschließungsansätze, die auf klassische Erschließungsinstrumente zurückgreifen, propagiert werden. Zwar sollen sie nicht in ihrer ursprünglichen Form angewandt werden, da den Nutzern nicht zuzumuten ist, sich mit den entsprechenden Regeln auseinanderzusetzen, aber auch hinter der auf den ersten Blick zumindest chaotisch wirkenden Folksonomy ist das Prinzip der Klassifikation zu erkennen. Um die modernen Ansätze erfolgreich zu machen, bedarf es aber dringend Information Professionals, die das "beste aus beiden Welten" verbinden, um moderne, für den Nutzer optimale Informationssysteme zu schaffen. Für die Gesamtbewertung des Buchs gelten die bereits zu einzelnen Kapitels angeführten Kritikpunkte: In erster Linie bleibt das Buch zu sehr an der Oberfläche und wirkt irgendwie "zusammengeschrieben" anstatt als Ergebnis der tiefgreifenden Beschäftigung mit dem Thema. Als eine Einführung in aufkommende Technologien rund um die Suche ist es aber durchaus geeignet - gut lesbar ist der Text auf jeden Fall.
  19. Byström, K.: Information seekers in context : an analysis of the 'doer' in INSU studies (1999) 0.00 
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    Date
    22. 3.2002 9:55:52
  20. Vakkari, P.; Pennanen, M.; Serola, S.: Changes of search terms and tactics while writing a research proposal : a longitudinal case study (2003) 0.00 
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    Abstract
    The study analyses how students' growing understanding of the topic and search experience were related to their choice of search tactics and terms while preparing a research proposal for a small empirical study. In addition to that, the findings of the study are used to test Vakkari's (2001) theory of task-based IR. The research subjects were 22 students of psychology attending a seminar for preparing the proposal. They made a search for their task in PsychINFO database at the beginning and end of the seminar. Data were collected in several ways. A pre- and post-search interview was conducted in both sessions. The students were asked to think aloud in the sessions. This was recorded as were the transaction logs. The results show that search experience was slightly related to the change of facets. Although the students' vocabulary of the topic grew generating an increased use of specific terms between the sessions, their use of search tactics and operators remained fairly constant. There was no correlation between the terms and tactics used and the total number of useful references found. By comparing these results with the findings of relevant earlier studies the conclusion was drawn that domain knowledge has an impact on searching assuming that users have a sufficient command of the system used. This implies that the tested theory of task-based IR is valid on condition that the searchers are experienced. It is suggested that the theory should be enriched by including search experience in its scope.

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