Search (34 results, page 2 of 2)

  • × theme_ss:"Suchtaktik"
  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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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    Abstract
    Choi and Rasmussen collect queries to the Library of Congress's American Memory photo archive from 48 scholars in American History by way of interviews and pre and post search questionnaires. Their interest is in the types of information need common in the visual domain, and the categories of terms most often used or indicated as appropriate for the description of image contents. Each search resulted in the provision of 20 items for evaluation by the searcher. Terms in queries and acceptable retrievals were categorized by a who, what, when, where faceted classification and queries into four needs categories; specific, general, abstract, and subjective. Two out of three analysts assigned all 38 requests into the same one of the four categories and in 19 cases all three agreed. General/nameable needs accounted for 60.5%, specific needs 26.3%, 7.9% for general/abstract, and 5.3% for subjective needs. The facet analysis indicated most content was of the form person/thing or event/condition limited by geography or time.
  8. Kuhlthau, C.C.; Tama, S.L.: Information search process of lawyers : a call for 'just for me' information services (2001) 0.01 
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    Abstract
    The study reported in this paper is part of a programme of ongoing research based on the model of the Information Search Process (ISP) developed in a series of prior studies by Kuhlthau. This study sought to gain a better understanding of the variety of tasks that involve lawyers as a particular group of information workers, how they use information to accomplish their work, and the role mediators play in their process of information seeking and use. Findings revealed that these lawyers frequently were involved in complex tasks that required a constructive process of interpreting, learning and creating. To accomplish these complex tasks, they preferred printed texts over computer databases primarily because computer databases required well-specified requests and did not offer an option for examining a wide range of information at one time. These lawyers called for an active potential role for mediators in 'just for me' services. 'Just for me' services would encompass designing systems to provide a wider range of access more compatible with the process of construction, applying and developing principles of classification that would offer a more uniform system for organising and accessing files, and providing direction in filtering the overwhelming amount of information available on electronic resources.
  9. Liu, Z.; Jansen, B.J.: ASK: A taxonomy of accuracy, social, and knowledge information seeking posts in social question and answering (2017) 0.01 
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    Abstract
    Many people turn to their social networks to find information through the practice of question and answering. We believe it is necessary to use different answering strategies based on the type of questions to accommodate the different information needs. In this research, we propose the ASK taxonomy that categorizes questions posted on social networking sites into three types according to the nature of the questioner's inquiry of accuracy, social, or knowledge. To automatically decide which answering strategy to use, we develop a predictive model based on ASK question types using question features from the perspectives of lexical, topical, contextual, and syntactic as well as answer features. By applying the classifier on an annotated data set, we present a comprehensive analysis to compare questions in terms of their word usage, topical interests, temporal and spatial restrictions, syntactic structure, and response characteristics. Our research results show that the three types of questions exhibited different characteristics in the way they are asked. Our automatic classification algorithm achieves an 83% correct labeling result, showing the value of the ASK taxonomy for the design of social question and answering systems.
  10. Toms, E.G.: What motivates the browser? (1999) 0.01 
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    Date
    22. 3.2002 9:44:47
  11. 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
  12. Drabenstott, K.M.: Web search strategies (2000) 0.01 
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    Date
    22. 9.1997 19:16:05
  13. 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
  14. 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

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