Search (281 results, page 2 of 15)

  • × theme_ss:"Suchtaktik"
  1. Spink, A.; Danby, S.; Mallan, K.; Butler, C.: Exploring young children's web searching and technoliteracy (2010) 0.01
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    Source
    Journal of documentation. 66(2010) no.2, S.191-206
  2. Kinley, K.; Tjondronegoro, D.; Partridge, H.; Edwards, S.: Modeling users' web search behavior and their cognitive styles (2014) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.6, S.1107-1123
  3. Lu, K.; Joo, S.; Lee, T.; Hu, R.: Factors that influence query reformulations and search performance in health information retrieval : a multilevel modeling approach (2017) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.8, S.1886-1898
  4. Vakkari, P.; Pennanen, M.; Serola, S.: Changes of search terms and tactics while writing a research proposal : a longitudinal case study (2003) 0.01
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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.
    Source
    Information processing and management. 39(2003) no.3, S.445-463
  5. 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
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.1, S.13-24
  6. 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
    Source
    Information processing and management. 51(2015) no.5, S.557-569
  7. 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
  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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    Abstract
    Purpose A new approach to investigate serendipitous knowledge discovery (SKD) of health information is developed and tested to evaluate the information flow-serendipitous knowledge discovery (IF-SKD) model. The purpose of this paper is to determine the degree to which IF-SKD reflects physicians' information behaviour in a clinical setting and explore how the information system, Spark, designed to support physicians' SKD, meets its goals. Design/methodology/approach The proposed pre-experimental study design employs an adapted version of the McCay-Peet's (2013) and McCay-Peet et al.'s (2015) serendipitous digital environment (SDE) questionnaire research tool to address the complexity associated with defining the way in which SKD is understood and applied in system design. To test the IF-SKD model, the new data analysis approach combining confirmatory factor analysis, data imputation and Monte Carlo simulations was developed. Findings The piloting of the proposed novel analysis approach demonstrated that small sample information behaviour survey data can be meaningfully examined using a confirmatory factor analysis technique. Research limitations/implications This method allows to improve the reliability in measuring SKD and the generalisability of findings. Originality/value This paper makes an original contribution to developing and refining methods and tools of research into information-system-supported serendipitous discovery of information by health providers.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 71(2019) no.6, S.755-772
  9. Pera, M.S.; Lund, W.; Ng, Y.-K.: ¬A sophisticated library search strategy using folksonomies and similarity matching (2009) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1392-1406
  10. Rieh, S.Y.; Kim, Y.-M.; Markey, K.: Amount of invested mental effort (AIME) in online searching (2012) 0.01
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    Source
    Information processing and management. 48(2012) no.6, S.1136-1150
  11. Mansourian, Y.: Contextual elements and conceptual components of information visibility on the web (2008) 0.01
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    Date
    1. 1.2009 10:22:40
    Source
    Library hi tech. 26(2008) no.3, S.440-453
  12. 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
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.12, S.1428-1445
  13. 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
    Source
    Aslib journal of information management. 71(2019) no.3, S.325-343
  14. Kajanan, S.; Bao, Y.; Datta, A.; VanderMeer, D.; Dutta, K.: Efficient automatic search query formulation using phrase-level analysis (2014) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.5, S.1058-1075
  15. 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
    Source
    Aslib journal of information management. 66(2014) no.5, S.537-552
  16. Toms, E.G.: What motivates the browser? (1999) 0.01
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    Date
    22. 3.2002 9:44:47
    Pages
    S.191-208
  17. Ennis, M.; Sutcliffe, A.G.; Watkinson, S.J.: Towards a predictive model of information seeking : empirical studies of end-user-searching (1999) 0.01
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    Date
    22. 3.2002 9:54:13
    Pages
    S.96-115
  18. Drabenstott, K.M.: Web search strategies (2000) 0.01
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    Date
    22. 9.1997 19:16:05
    Pages
    S.114-161
  19. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.01
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    Date
    3. 5.1997 8:44:22
    Source
    Bergische Landeszeitung. Nr.293 vom 16.12.2010, S.23
  20. Questions (1978) 0.00
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