Search (54 results, page 1 of 3)

  • × theme_ss:"Suchtaktik"
  1. Xu, Y.: ¬The dynamics of interactive information retrieval behavior : part I: an activity theory perspective (2007) 0.03
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    Date
    27. 5.2007 13:55:22
  2. Lee, S.-S.; Theng, Y.-L.; Goh, D.H.-L.: Creative information seeking : part II: empirical verification (2007) 0.03
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    Date
    23.12.2007 12:22:16
  3. Pera, M.S.; Lund, W.; Ng, Y.-K.: ¬A sophisticated library search strategy using folksonomies and similarity matching (2009) 0.03
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  4. Rieh, S.Y.; Kim, Y.-M.; Markey, K.: Amount of invested mental effort (AIME) in online searching (2012) 0.03
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  5. Mansourian, Y.: Contextual elements and conceptual components of information visibility on the web (2008) 0.03
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    Date
    1. 1.2009 10:22:40
  6. 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.
  7. Kajanan, S.; Bao, Y.; Datta, A.; VanderMeer, D.; Dutta, K.: Efficient automatic search query formulation using phrase-level analysis (2014) 0.02
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  8. Lempert, Y.: Suchstrategien in Kinder-OPACs : Vorstellung ausgewählter Beispiele und Anforderungen an Dokumentationssprachen (1998) 0.02
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  9. Byström, K.: Information seekers in context : an analysis of the 'doer' in INSU studies (1999) 0.02
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    Date
    22. 3.2002 9:55:52
  10. Xu, Y.; Liu, C.: ¬The dynamics of interactive information retrieval : part II: an empirical study from the activity theory perspective (2007) 0.02
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    Abstract
    Human information-seeking behavior is complicated. Activity theory is a powerful theoretical instrument to untangle the "complications." Based on activity theory, a comprehensive framework is proposed in Part I (Y. Xu, 2007) of this report to describe interactive information retrieval (IIR) behavior. A set of propositions is also proposed to describe the mechanisms governing users' cognitive activity and the interaction between users' cognitive states and manifested retrieval behavior. An empirical study is carried out to verify the propositions. The authors' experimental simulation of 81 participants in one search session indicates the propositions are largely supported. Their findings indicate IIR behavior is planned. Users adopt a divide-and-conquer strategy in information retrieval. The planning of information retrieval activity is also partially manifested in query revision tactics. Users learn from previously read documents. A user's interaction with a system ultimately changes the user's information need and the resulting relevance judgment, but the dynamics of topicality perception and novelty perception occur at different paces.
  11. Song, R.; Luo, Z.; Nie, J.-Y.; Yu, Y.; Hon, H.-W.: Identification of ambiguous queries in web search (2009) 0.02
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  12. Morse, P.M.: Search theory and browsing (1970) 0.02
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    Date
    22. 5.2005 19:53:09
  13. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.02
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  14. Morse, P.M.: Browsing and search theory (1973) 0.01
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    Date
    22. 5.2005 19:52:29
  15. 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
  16. Archer, N.P.; Head, M.M.; Yuan, Y.: Patterns in information search for decision making : the effects of information abstraction (1996) 0.01
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  17. Wang, P.; Berry, M.W.; Yang, Y.: Mining longitudinal Web queries : trends and patterns (2003) 0.01
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  18. Lee, S.-S.; Theng, Y.-L.; Goh, D.H.-L.: Creative information seeking : Part I: a conceptual framework (2005) 0.01
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  19. Choi, Y.; Rasmussen, E.M.: Searching for images : the analysis of users' queries for image retrieval in American history (2003) 0.01
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Languages

  • e 51
  • d 3
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Types

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  • m 2
  • x 1
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