Search (53 results, page 3 of 3)

  • × theme_ss:"Suchtaktik"
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  1. Pejtersen, A.M.: ¬A new approach to design of document retrieval and indexing systems for OPAC users (1993) 0.01 
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    Online information 93: 17th International Online Meeting Proceedings, London, 7.-9.12.1993. Ed. by D.I. Raitt et al
  2. Pera, M.S.; Lund, W.; Ng, Y.-K.: ¬A sophisticated library search strategy using folksonomies and similarity matching (2009) 0.01 
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    Journal of the American Society for Information Science and Technology. 60(2009) no.7, S.1392-1406
  3. Bowler, L.: ¬The self-regulation of curiosity and interest during the information search process of adolescent students (2010) 0.01 
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    Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1332-1344
  4. Sheeja, N.K.: Science vs social science : a study of information-seeking behavior and user perceptions of academic researchers (2010) 0.01 
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    Library review. 59(2010) no.7, S.522-531
  5. Cole, C.: ¬A theory of information need for information retrieval that connects information to knowledge (2011) 0.01 
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    Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1216-1231
  6. Greyson, D.: Information triangulation : a complex and agentic everyday information practice (2018) 0.01 
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    Journal of the Association for Information Science and Technology. 69(2018) no.7, S.869-878
  7. 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.
  8. Vuong, T.; Saastamoinen, M.; Jacucci, G.; Ruotsalo, T.: Understanding user behavior in naturalistic information search tasks (2019) 0.01 
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    Abstract
    Understanding users' search behavior has largely relied on the information available from search engine logs, which provide limited information about the contextual factors affecting users' behavior. Consequently, questions such as how users' intentions, task goals, and substances of the users' tasks affect search behavior, as well as what triggers information needs, remain largely unanswered. We report an experiment in which naturalistic information search behavior was captured by analyzing 24/7 continuous recordings of information on participants' computer screens. Written task diaries describing the participants' tasks were collected and used as real-life task contexts for further categorization. All search tasks were extracted and classified under various task categories according to users' intentions, task goals, and substances of the tasks. We investigated the effect of different task categories on three behavioral factors: search efforts, content-triggers, and application context. Our results suggest four findings: (i) Search activity is integrally associated with the users' creative processes. The content users have seen prior to searching more often triggers search, and is used as a query, within creative tasks. (ii) Searching within intellectual and creative tasks is more time-intensive, while search activity occurring as a part of daily routine tasks is associated with more frequent searching within a search task. (iii) Searching is more often induced from utility applications in tasks demanding a degree of intellectual effort. (iv) Users' leisure information-seeking activity is occurring inherently within social media services or comes from social communication platforms. The implications of our findings for information access and management systems are discussed.
  9. Toms, E.G.: What motivates the browser? (1999) 0.01 
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    Date
    22. 3.2002 9:44:47
  10. 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
  11. Drabenstott, K.M.: Web search strategies (2000) 0.01 
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    Date
    22. 9.1997 19:16:05
  12. 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
  13. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.00 
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    Date
    3. 5.1997 8:44:22

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