Search (134 results, page 2 of 7)

  • × theme_ss:"Suchtaktik"
  1. Mansourian, Y.: Contextual elements and conceptual components of information visibility on the web (2008) 0.01
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    Abstract
    Purpose - This paper aims to report the result of follow-up research on end-users' conceptions of information visibility on the web and their conceptualizations of success and failure in web searching. Design/methodology/approach - The data were collected by a questionnaire followed by a brief interview with the participants. The questionnaire was developed based on the information visibility model suggested by the author in the original study. Fifty-two library and information sciences students from Tarbiat Mollem University (TMU) and Iran University of Medical Sciences (IUMS) in Tehran took part in the study. Findings - The model of information visibility can enable web users to gain a better understanding of their information seeking (IS) outcomes and it can assist them to improve their information literacy skills. The model can provide a theoretical framework to investigate web users' IS behavior and can be used as a diagnostic tool to explore the contextual and conceptual elements affecting the visibility of information for end-users. Research limitations/implications - The paper suggests a visibility learning diary (VLD), which might be useful to measure the efficiency of information literacy training courses. Originality/value - The contextual and conceptual approach of the paper provides a deeper insight into the issue of information visibility, which has received little attention by IS and information retrieval researchers until now.
    Date
    1. 1.2009 10:22:40
  2. Bates, M.J.: How to use information search tactics online (1987) 0.01
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    Source
    Online. 11(1987), S.47-54
  3. Claassen, W.; Cornelius, P.; Ehrmann, D.; Tanghe, P.: Fachwissen Online-Recherche : Suchstrategien in Online-Datenbanken (1988) 0.01
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  4. Ehrmann, D.: Technikinformationen : Suchstrategien für Textdatenbanken (1988) 0.01
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    Source
    Fachwissen Online-Recherche: Suchstrategien in Online-Datenbanken. Von W. Claassen u.a
  5. Morse, P.M.: Search theory and browsing (1970) 0.01
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    Date
    22. 5.2005 19:53:09
  6. Morse, P.M.: Browsing and search theory (1973) 0.01
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    Date
    22. 5.2005 19:52:29
  7. 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
  8. Drabenstott, K.M.: Web search strategies (2000) 0.01
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    Abstract
    Surfing the World Wide Web used to be cool, dude, real cool. But things have gotten hot - so hot that finding something useful an the Web is no longer cool. It is suffocating Web searchers in the smoke and debris of mountain-sized lists of hits, decisions about which search engines they should use, whether they will get lost in the dizzying maze of a subject directory, use the right syntax for the search engine at hand, enter keywords that are likely to retrieve hits an the topics they have in mind, or enlist a browser that has sufficient functionality to display the most promising hits. When it comes to Web searching, in a few short years we have gone from the cool image of surfing the Web into the frying pan of searching the Web. We can turn down the heat by rethinking what Web searchers are doing and introduce some order into the chaos. Web search strategies that are tool-based-oriented to specific Web searching tools such as search en gines, subject directories, and meta search engines-have been widely promoted, and these strategies are just not working. It is time to dissect what Web searching tools expect from searchers and adjust our search strategies to these new tools. This discussion offers Web searchers help in the form of search strategies that are based an strategies that librarians have been using for a long time to search commercial information retrieval systems like Dialog, NEXIS, Wilsonline, FirstSearch, and Data-Star.
    Date
    22. 9.1997 19:16:05
  9. Mohan, K.C.: Boolean and nearest neighbour text searching in a multi-strategy retrieval system (1996) 0.01
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    Abstract
    Information retrieval systems based on the Boolean model have been popular for some time. A major challenge to this model has come from the development of approaches based on the vector processing model. Both search strategies are explained and evaluated. Describes an experimental study in an opertational environment to compare the retrieval effectiveness of Boolean and nearest neighbour searching in a multi-strategy retrieval system based on query characteristic variables. Considers the significance of the results of the study
  10. Basch, R.: Secrets of the super searchers : planning search strategies (1993) 0.01
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    Source
    Online. 17(1993) no.5, S.52-58
  11. Pejtersen, A.M.: Cognitive engineering in information retrieval domains : merging paradigms? (1995) 0.01
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  12. Spink, A.; Goodrum, A.; Robins, D.: Elicitation behavior during mediated information retrieval (1998) 0.01
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    Abstract
    Considers what elicitation or requests for information search intermediaries make of users with information requests during an information retrieval interaction - including prior to and during an information retrieval interaction - and for what purpose. Reports a study of elicitations during 40 mediated information retrieval interactions. Identifies a total of 1.557 search intermediary elicitations within 15 purpose categories. The elicitation purposes of search intermediaries included requests for information on search terms and strategies, database selection, search procedures, system's outputs and relevance of retrieved items, and users' knowledge and previous information seeking. Investigates the transition sequences from 1 type of search intermediary elicitation to another. Compares these findings with results from a study of end user questions
  13. Cole, C.; Kennedy, L.; Carter, S.: ¬The optimization of online searches through the labelling of a dynamic, situation-dependent information need : the reference interview and online searching for undergraduates doing a social-science assignment (1996) 0.01
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    Abstract
    Proposes a reference interview strategy that will allow the reference librarian to: efficiently assess the information need of undergraduates undertaking a social science assignment, label the information need, and assign the most appropriate online search strategy to satisfy this need
  14. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.01
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    Abstract
    The paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quailty. The paper discusses the approaches Search Term Recommendation, Bradfordizing and Author Centrality on a general level and addresses implementation issues of the models within a real-life retrieval environment.
  15. Xu, Y.; Liu, C.: ¬The dynamics of interactive information retrieval : part II: an empirical study from the activity theory perspective (2007) 0.01
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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.
  16. Pejtersen, A.M.: Design of a classification scheme for fiction based on an analysis of actual user-librarian communication, and use of the scheme for control of librarians' search strategies (1980) 0.01
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    Date
    5. 8.2006 13:22:44
  17. Shuman, B.A.: Cases in online search strategy (1993) 0.00
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  18. Sbaffi, L.; Zhao, C.: Modeling the online health information seeking process : information channel selection among university students (2020) 0.00
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    Abstract
    This study investigates the influence of individual and information characteristics on university students' information channel selection (that is, search engines, social question & answer sites, online health websites, and social networking sites) of online health information (OHI) for three different types of search tasks (factual, exploratory, and personal experience). Quantitative data were collected via an online questionnaire distributed to students on various postgraduate programs at a large UK university. In total, 291 responses were processed for descriptive statistics, Principal Component Analysis, and Poisson regression. Search engines are the most frequently used among the four channels of information discussed in this study. Credibility, ease of use, style, usefulness, and recommendation are the key factors influencing users' judgments of information characteristics (explaining over 62% of the variance). Poisson regression indicated that individuals' channel experience, age, student status, health status, and triangulation (comparing sources) as well as style, credibility, usefulness, and recommendation are substantive predictors for channel selection of OHI.
  19. Mandala, R.; Tokunaga, T.; Tanaka, H.: Query expansion using heterogeneous thesauri (2000) 0.00
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  20. Yuan, X.; Belkin, N.J.: Evaluating an integrated system supporting multiple information-seeking strategies (2010) 0.00
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    Abstract
    Many studies have demonstrated that people engage in a variety of different information behaviors when engaging in information seeking. However, standard information retrieval systems such as Web search engines continue to be designed to support mainly one such behavior, specified searching. This situation has led to suggestions that people would be better served by information retrieval systems which support different kinds of information-seeking strategies. This article reports on an experiment comparing the retrieval effectiveness of an integrated interactive information retrieval (IIR) system which adapts to support different information-seeking strategies with that of a standard baseline IIR system. The experiment, with 32 participants each searching on eight different topics, indicates that using the integrated IIR system resulted in significantly better user satisfaction with search results, significantly more effective interaction, and significantly better usability than that using the baseline system.

Years

Languages

  • e 125
  • d 8
  • ja 1
  • More… Less…

Types

  • a 120
  • m 11
  • s 2
  • el 1
  • x 1
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