Search (55 results, page 1 of 3)

  • × theme_ss:"Suchtaktik"
  1. 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) 0.08
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    Date
    5. 8.2006 13:22:44
    Source
    Theory and application of information research. Proc. of the 2nd Int. Research Forum on Information Science, 3.-6.8.1977, Copenhagen. Ed.: O. Harbo u, L. Kajberg
  2. Lee, S.-S.; Theng, Y.-L.; Goh, D.H.-L.: Creative information seeking : part II: empirical verification (2007) 0.06
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    Date
    23.12.2007 12:22:16
  3. Limberg, L.: Three conceptions of information seeking and use (1999) 0.05
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    Date
    22. 3.2002 9:53:10
  4. Crestani, F.; Du, H.: Written versus spoken queries : a qualitative and quantitative comparative analysis (2006) 0.04
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    Abstract
    The authors report on an experimental study on the differences between spoken and written queries. A set of written and spontaneous spoken queries are generated by users from written topics. These two sets of queries are compared in qualitative terms and in terms of their retrieval effectiveness. Written and spoken queries are compared in terms of length, duration, and part of speech. In addition, assuming perfect transcription of the spoken queries, written and spoken queries are compared in terms of their aptitude to describe relevant documents. The retrieval effectiveness of spoken and written queries is compared using three different information retrieval models. The results show that using speech to formulate one's information need provides a way to express it more naturally and encourages the formulation of longer queries. Despite that, longer spoken queries do not seem to significantly improve retrieval effectiveness compared with written queries.
    Date
    5. 6.2006 11:22:23
  5. Nori, R.: Web searching and navigation : age, intelligence, and familiarity (2020) 0.04
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    Abstract
    In using the Internet to solve everyday problems, older adults tend to find fewer correct answers compared to younger adults. Some authors have argued that these differences could be explained by age-related decline. The present study aimed to analyze the relationship between web-searching navigation and users' age, considering the Intelligence Quotient (IQ) and frequency of Internet and personal computer use. The intent was to identify differences due to age and not to other variables (that is, cognitive decline, expertise with the tool). Eighteen students (18-30?years) and 18 older adults (60-75?years) took part in the experiment. Inclusion criteria were the frequent use of computers and a web-searching activity; the older adults performed the Mini-Mental State Examination to exclude cognitive impairment. Participants were requested to perform the Kaufman Brief Intelligence Test 2nd ed. to measure their IQ level, and nine everyday web-searching tasks of differing complexity. The results showed that older participants spent more time on solving tasks than younger participants, but with the same accuracy as young people. Furthermore, nonverbal IQ improved performance in terms of time among the older participants. Age did not influence web-searching behavior in users with normal expertise and intelligence.
    Editor
    Piccardi, L.
  6. Morse, P.M.: Search theory and browsing (1970) 0.03
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    Date
    22. 5.2005 19:53:09
  7. Morse, P.M.: Browsing and search theory (1973) 0.02
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    Date
    22. 5.2005 19:52:29
  8. Branch, J.L.: Investigating the information-seeking process of adolescents : the value of using think alouds and think afters (2000) 0.02
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    Source
    Library and information science research. 22(2000) no.4, S.371-382
  9. Lee, S.-S.; Theng, Y.-L.; Goh, D.H.-L.: Creative information seeking : Part I: a conceptual framework (2005) 0.02
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  10. Mann, L.; Ball, C.: ¬The relationship between search strategy and risky choice (1994) 0.02
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  11. 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) 0.02
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  12. Lee, H.-L.: Navigating hierarchies vs. searching by keyword : two cultural perspectives (2006) 0.02
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  13. Whitmire, E.: Undergraduates' information seeking behavior : the role of epistemological development theories and models (1999) 0.01
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    Source
    Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
  14. Lu, L.; Yuan, U.: Shall I Google it or ask the competent villain down the hall? : the moderating role of information need in information source selection (2011) 0.01
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  15. Ren, P.; Chen, Z.; Ma, J.; Zhang, Z.; Si, L.; Wang, S.: Detecting temporal patterns of user queries (2017) 0.01
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  16. Sbaffi, L.; Zhao, C.: Modeling the online health information seeking process : information channel selection among university students (2020) 0.01
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  17. Shah, C.; Marchionini, G.: Awareness in collaborative information seeking (2010) 0.01
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    Abstract
    Support for explicit collaboration in information-seeking activities is increasingly recognized as a desideratum for search systems. Several tools have emerged recently that help groups of people with the same information-seeking goals to work together. Many issues for these collaborative information-seeking (CIS) environments remain understudied. The authors identified awareness as one of these issues in CIS, and they presented a user study that involved 42 pairs of participants, who worked in collaboration over 2 sessions with 3 instances of the authors' CIS system for exploratory search. They showed that while having awareness of personal actions and history is important for exploratory search tasks spanning multiple sessions, support for group awareness is even more significant for effective collaboration. In addition, they showed that support for such group awareness can be provided without compromising usability or introducing additional load on the users.
  18. 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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  19. Wacholder, N.; Liu, L.: User preference : a measure of query-term quality (2006) 0.01
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  20. Bowler, L.: ¬The self-regulation of curiosity and interest during the information search process of adolescent students (2010) 0.01
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