Search (68 results, page 1 of 4)

  • × theme_ss:"Suchtaktik"
  • × year_i:[2010 TO 2020}
  1. Saastamoinen, M.; Järvelin, K.: Search task features in work tasks of varying types and complexity (2017) 0.02 
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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.
    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.5, S.1111-1123
  2. 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
  3. 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
  4. 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
  5. 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
  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
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.12, S.1428-1445
  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
    Source
    Aslib journal of information management. 71(2019) no.3, S.325-343
  8. 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
  9. 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
  10. Looking for information : a survey on research on information seeking, needs, and behavior (2012) 0.00 
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    Footnote
    Rez. in: JASIST 63(2012) no.12, S.2557-2558 (Heidi Julien)
    Pages
    491 S
  11. Wacholder, N.: Interactive query formulation (2011) 0.00 
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    Source
    Annual review of information science and technology. 45(2011) no.1, S.157-196
  12. Verberne, S.; Heijden, M. van der; Hinne, M.; Sappelli, M.; Koldijk, S.; Hoenkamp, E.; Kraaij, W.: Reliability and validity of query intent assessments (2013) 0.00 
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    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.11, S.2224-2237
  13. Makri, S.; Blandford, A.; Woods, M.; Sharples, S.; Maxwell, D.: "Making my own luck" : serendipity strategies and how to support them in digital information environments (2014) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.11, S.2179-2194
  14. Looking for information : a survey on research on information seeking, needs, and behavior (2016) 0.00 
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    Footnote
    Rez. in: JASIST 68(2017) no.9, S.2284-2286 (Charles Cole)
    Pages
    xvi, 507 S
    Type
    s
  15. Shah, C.; Marchionini, G.: Awareness in collaborative information seeking (2010) 0.00 
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    Footnote
    Erratum in: Journal of the American Society for Information Science and Technology, 61(2010) no.11, S.2377.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.1970-1986
  16. Xie, I.; Joo, S.: Factors affecting the selection of search tactics : tasks, knowledge, process, and systems (2012) 0.00 
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    Source
    Information processing and management. 48(2012) no.2, S.254-270
  17. Ren, P.; Chen, Z.; Ma, J.; Zhang, Z.; Si, L.; Wang, S.: Detecting temporal patterns of user queries (2017) 0.00 
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  18. Sanfilippo, M.; Yang, S.; Fichman, P.: Trolling here, there, and everywhere : perceptions of trolling behaviors in context (2017) 0.00 
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  19. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.00 
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  20. Spink, A.; Danby, S.; Mallan, K.; Butler, C.: Exploring young children's web searching and technoliteracy (2010) 0.00 
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    Source
    Journal of documentation. 66(2010) no.2, S.191-206

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