Search (27 results, page 1 of 2)

  • × theme_ss:"Suchtaktik"
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. Hsieh-Yee, I.: Research on Web-search behavior (2001) 0.01
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    Date
    30.12.2008 12:51:23
    Source
    Library and information science research. 23(2001) no.2, S.167-185
  2. 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
  3. Whitmire, E.: ¬The relationship between undergraduates' epistemological beliefs, reflective judgment, and their information-seeking behavior (2004) 0.01
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    Abstract
    During the fall 2001 semester 15 first-year undergraduates were interviewed about their information-seeking behavior. Undergraduates completed a short-answer questionnaire, the Measure of Epistemological Reflection, measuring their epistemological beliefs and searched the Web and an online public access catalog using tasks from the Reflective Judgment Interview that assessed their reflective judgment level. Undergraduates talked aloud while searching digital environments about the decisions they were making about the information they encountered while transaction analyses software (Lotus ScreenCam) recorded both their search moves and their decision-making through verbal protocol analysis. Analyses included examining the relationship between undergraduates' epistemological beliefs and reflective judgment and how they searched for information in these digital environments. Results indicated that there was a relationship between epistemological beliefs and reflective judgment and information-seeking behavior. Undergraduates' at higher stages of epistemological development exhibited the ability to handle conflicting information sources and to recognize authoritative information sources.
  4. Jansen, B.J.; Booth, D.L.; Spink, A.: Determining the informational, navigational, and transactional intent of Web queries (2008) 0.01
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    Abstract
    In this paper, we define and present a comprehensive classification of user intent for Web searching. The classification consists of three hierarchical levels of informational, navigational, and transactional intent. After deriving attributes of each, we then developed a software application that automatically classified queries using a Web search engine log of over a million and a half queries submitted by several hundred thousand users. Our findings show that more than 80% of Web queries are informational in nature, with about 10% each being navigational and transactional. In order to validate the accuracy of our algorithm, we manually coded 400 queries and compared the results from this manual classification to the results determined by the automated method. This comparison showed that the automatic classification has an accuracy of 74%. Of the remaining 25% of the queries, the user intent is vague or multi-faceted, pointing to the need for probabilistic classification. We discuss how search engines can use knowledge of user intent to provide more targeted and relevant results in Web searching.
  5. Savolainen, R.: Information use as gap-bridging : the viewpoint of sense-making methodology (2006) 0.01
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    Date
    4. 7.2006 14:05:23
  6. Wilson, T.D.; Ford, N.; Ellis, D.; Foster, A.; Spink, A.: Information seeking and mediated searching : Part 2: uncertainty and Its correlates (2002) 0.01
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    Date
    21. 7.2006 14:23:30
  7. Spink, A.; Wilson, T.D.; Ford, N.; Foster, A.; Ellis, D.: Information seeking and mediated searching : Part 1: theoretical framework and research design (2002) 0.01
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    Date
    21. 7.2006 14:23:51
  8. Song, R.; Luo, Z.; Nie, J.-Y.; Yu, Y.; Hon, H.-W.: Identification of ambiguous queries in web search (2009) 0.01
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    Date
    23. 1.2011 13:50:09
  9. Ferrández, O.; Izquierdo, R.; Ferrández, S.; Vicedo González, J.L.: Addressing ontology-based question answering with collections of user queries (2009) 0.01
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    Date
    23. 1.2011 13:50:19
  10. Jung, J.J.: Contextualized query sampling to discover semantic resource descriptions on the web (2009) 0.01
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    Date
    23. 1.2011 13:57:05
  11. Pu, H.-T.; Chuang, S.-L.; Yang, C.: Subject categorization of query terms for exploring Web users' search interests (2002) 0.01
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    Date
    26. 5.2002 15:28:23
  12. Jansen, B.J.; Booth, D.L.; Smith, B.K.: Using the taxonomy of cognitive learning to model online searching (2009) 0.01
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    Date
    23. 1.2011 14:21:32
  13. Einsporn, N.: Fachinformationen im WWW (2006) 0.00
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    Abstract
    Mittels professioneller Suchtechniken lässt sich die Recherche im WWW wesentlich schneller und zuverlässiger gestalten. Selbst eine universelle Suchmaschine, wie Google, erlaubt mittels spezieller Suchfunktionen qualifizierte Recherchen über den Freitext hinaus. Von besonderer Bedeutung sind hier die Selektion nach Domainnamen und die Einbeziehung der URL. In Kombination mit dem Verständnis der Ranking-Techniken, z. B. der Prioritäten der im HTML-Quelltext verankerten inhaltlichen Meta-Informationen (Title-Tag, Meta-Tags Keywords, Description) gegenüber dem Standardverfahren (Google PageRank) lässt sich die Recherche auf professionelle Informationsangebote ausrichten. Eine weitere Qualifizierung lässt sich durch geschickten Einsatz der Phrasensuche erreichen. In jedem Fall setzt eine erfolgreiche Recherche, auch bei scheinbar einfachen Benennungen und Zusammenhängen eine intellektuelle Recherchevorbereitung voraus - bei der zunächst das Thema strukturiert und dann eine Vorstellung über die möglichen Zusammenhänge entwickelt wird, in der die Zielinformation im WWW zu finden sein könnte. Soweit die Möglichkeit besteht, sollte bei anspruchsvollen technischwissenschaftlichen Themen der WWW-Suche eine Recherche in professionellen Literaturdatenbanken vorausgehen. Diese haben den Vorzug, dass eine transparente und sorgfältig selektierte Quellenbasis vorliegt und durch Suche mit kontrolliertem Wortschatz die typischen Unschärfen einer Freitextrecherche (unerwünschte Zusammenhänge, Synonyme, Homonyme, Schreibvarianten usw.) umgangen werden können. Die FIZ-Technik-Inform GmbH bietet kostenpflichtige Weiterbildungsveranstaltungen auch zur WWW-Recherche an.
    Source
    Spezialbibliotheken zwischen Auftrag und Ressourcen: 6.-9. September 2005 in München, 30. Arbeits- und Fortbildungstagung der ASpB e.V. / Sektion 5 im Deutschen Bibliotheksverband. Red.: M. Brauer
  14. Koopmans, N.I.: What's your question? : The need for research information from the perspective of different user groups (2002) 0.00
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    Date
    2. 7.2005 12:22:50
    Source
    Gaining insight from research information (CRIS2002): Proceedings of the 6th International Conference an Current Research Information Systems, University of Kassel, August 29 - 31, 2002. Eds: W. Adamczak u. A. Nase
  15. Pera, M.S.; Lund, W.; Ng, Y.-K.: ¬A sophisticated library search strategy using folksonomies and similarity matching (2009) 0.00
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    Theme
    Katalogfragen allgemein
  16. Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000) 0.00
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    Source
    Library and information science research. 22(2000) no.4, S.371-382
  17. Heinström, J.: Broad exploration or precise specificity : two basic information seeking patterns among students (2006) 0.00
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    Date
    2.10.2006 13:29:01
  18. Slone, D.J.: ¬The influence of mental models and goals on search patterns during Web interaction (2002) 0.00
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    Date
    21. 7.2006 11:26:29
  19. Spink, A.; Wilson, T.D.; Ford, N.; Foster, A.; Ellis, D.: Information seeking and mediated searching : Part 3: successive searching (2002) 0.00
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    Date
    21. 7.2006 14:29:18
  20. Kules, B.; Shneiderman, B.: Users can change their web search tactics : design guidelines for categorized overviews (2008) 0.00
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    Date
    29. 7.2008 15:27:58