Search (52 results, page 1 of 3)

  • × theme_ss:"Suchtaktik"
  1. Manual of online search strategies (1992) 0.03
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    Footnote
    Rez. in: Library Association record 94(1992) no.10, S.667 (A. Pinnock); Library review 42(1993) no.5, S.71-72 (P. Millar)
  2. Rehkop, B.: 'Quick-and-dirty' company searches : four options (1992) 0.03
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  3. Snow, B.: ¬The Internet's hidden content and how to find it (2000) 0.03
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  4. Bense, H.: Finden ohne Suchen : automatische Benachrichtigungen über relevante wissenschaftliche Publikationen mit regelbasierter KI (2021) 0.02
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    Source
    Information - Wissenschaft und Praxis. 72(2021) H.5/6, S.265-270
  5. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.02
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    Date
    3. 5.1997 8:44:22
  6. 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) 0.02
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    Abstract
    Previous studies have found that both (a) the characteristics (e.g., quality and accessibility) and (b) the types of sources (e.g., relational and nonrelational sources) influence information source selection. Different from earlier studies that have prioritized one source attribute over the other, this research uses information need as a contingency factor to examine information seekers' simultaneous consideration of different attributes. An empirical test from 149 employees' evaluations of eight information sources revealed that (a) low-and high-information-need individuals favored information source quality over accessibility while medium-information-need individuals favored accessibility over quality; and (b) individuals are more likely to choose relational over nonrelational sources as information need increases.
  7. Morse, P.M.: Search theory and browsing (1970) 0.02
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    Date
    22. 5.2005 19:53:09
  8. Dumitrescu, A.; Santini, S.: Full coverage of a reader's interests in context-based information filtering (2021) 0.02
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.8, S.1011-1027
  9. Kules, B.; Shneiderman, B.: Users can change their web search tactics : design guidelines for categorized overviews (2008) 0.02
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  10. Notess, G.R.: Searching the hidden Internet (1997) 0.02
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    Content
    Vgl. auch Snow, B.: The Internet's hidden content and how to find it. In: Online 24(2000) no.3, S.61-66.
  11. Kim, K.-S.; Allen, B.: Cognitive and task influences on Web searching behavior (2002) 0.02
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  12. Mattmann, B.; Regenass, N.: ¬Eine neue Form der Recherche in Bibliotheken : "Suchschlitz" contra Exploration - Reduktion statt Orientierung? (2021) 0.02
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  13. Morse, P.M.: Browsing and search theory (1973) 0.02
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    Date
    22. 5.2005 19:52:29
  14. 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
  15. 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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    Abstract
    In this research, we investigated whether a learning process has unique information searching characteristics. The results of this research show that information searching is a learning process with unique searching characteristics specific to particular learning levels. In a laboratory experiment, we studied the searching characteristics of 72 participants engaged in 426 searching tasks. We classified the searching tasks according to Anderson and Krathwohl's taxonomy of the cognitive learning domain. Research results indicate that applying and analyzing, the middle two of the six categories, generally take the most searching effort in terms of queries per session, topics searched per session, and total time searching. Interestingly, the lowest two learning categories, remembering and understanding, exhibit searching characteristics similar to the highest order learning categories of evaluating and creating. Our results suggest the view of Web searchers having simple information needs may be incorrect. Instead, we discovered that users applied simple searching expressions to support their higher-level information needs. It appears that searchers rely primarily on their internal knowledge for evaluating and creating information needs, using search primarily for fact checking and verification. Overall, results indicate that a learning theory may better describe the information searching process than more commonly used paradigms of decision making or problem solving. The learning style of the searcher does have some moderating effect on exhibited searching characteristics. The implication of this research is that rather than solely addressing a searcher's expressed information need, searching systems can also address the underlying learning need of the user.
  16. Bilal, D.; Gwizdka, J.: Children's query types and reformulations in Google search (2018) 0.01
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    Abstract
    We investigated the searching behaviors of twenty-four children in grades 6, 7, and 8 (ages 11-13) in finding information on three types of search tasks in Google. Children conducted 72 search sessions and issued 150 queries. Children's phrase- and question-like queries combined were much more prevalent than keyword queries (70% vs. 30%, respectively). Fifty two percent of the queries were reformulations (33 sessions). We classified children's query reformulation types into five classes based on the taxonomy by Liu et al. (2010). We found that most query reformulations were by Substitution and Specialization, and that children hardly repeated queries. We categorized children's queries by task facets and examined the way they expressed these facets in their query formulations and reformulations. Oldest children tended to target the general topic of search tasks in their queries most frequently, whereas younger children expressed one of the two facets more often. We assessed children's achieved task outcomes using the search task outcomes measure we developed. Children were mostly more successful on the fact-finding and fully self-generated task and partially successful on the research-oriented task. Query type, reformulation type, achieved task outcomes, and expressing task facets varied by task type and grade level. There was no significant effect of query length in words or of the number of queries issued on search task outcomes. The study findings have implications for human intervention, digital literacy, search task literacy, as well as for system intervention to support children's query formulation and reformulation during interaction with Google.
  17. Xie, I.; Babu, R.; Lee, H.S.; Wang, S.; Lee, T.H.: Orientation tactics and associated factors in the digital library environment : comparison between blind and sighted users (2021) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.8, S.995-1010
  18. Raskutti, B.; Zukerman, I.: Generating queries and replies during information-seeking interactions (1997) 0.01
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  19. Ford, N.; Miller, D.; Moss, N.: Web search strategies and human individual differences : cognitive and demographic factors, Internet attitudes, and approaches (2005) 0.01
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    Abstract
    The research reported here was an exploratory study that sought to discover the effects of human individual differences an Web search strategy. These differences consisted of (a) study approaches, (b) cognitive and demographic features, and (c) perceptions of and preferred approaches to Web-based information seeking. Sixtyeight master's students used AItaVista to search for information an three assigned search topics graded in terms of complexity. Five hundred seven search queries were factor analyzed to identify relationships between the individual difference variables and Boolean and best-match search strategies. A number of consistent patterns of relationship were found. As task complexity increased, a number of strategic shifts were also observed an the part of searchers possessing particular combinations of characteristics. A second article (published in this issue of JASIST; Ford, Miller, & Moss, 2005) presents a combined analyses of the data including a series of regression analyses.
  20. Baruchson-Arbib, S.; Bronstein, J.: Humanists as information users in the digital age : the case of Jewish studies scholars in Israel (2007) 0.01
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    Abstract
    User studies provide libraries with invaluable insight into their users' information needs and behaviors, allowing them to develop services that correspond to these needs. This insight has become even more important for libraries since the advent of the Internet. The Internet has brought about a development of information technologies and electronic information sources that have had a great impact on both the ways users search for information and the ways libraries manage information. Although humanists represent an important group of users for academic libraries, research studies into their information-seeking behavior since the advent of the Internet have been quite scarce (Ellis & Oldman, 2005) in the past decade. This study presents updated research on a group of humanists, Jewish studies scholars living in Israel, as information users in the digital age based on two categories: (a) the use of formal and informal information channels, and (b) the use of information technologies and their impact on humanistic research.

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