Search (18 results, page 1 of 1)

  • × theme_ss:"Suchtaktik"
  • × year_i:[2010 TO 2020}
  1. Carstens, C.: Ontology based query expansion : retrieval support for the domain of educational research (2012) 0.01
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    Isbn
    978-3-86488-011-7
  2. Saastamoinen, M.; Järvelin, K.: Search task features in work tasks of varying types and complexity (2017) 0.01
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    Abstract
    Information searching in practice seldom is an end in itself. In work, work task (WT) performance forms the context, which information searching should serve. Therefore, information retrieval (IR) systems development/evaluation should take the WT context into account. The present paper analyzes how WT features: task complexity and task types, affect information searching in authentic work: the types of information needs, search processes, and search media. We collected data on 22 information professionals in authentic work situations in three organization types: city administration, universities, and companies. The data comprise 286 WTs and 420 search tasks (STs). The data include transaction logs, video recordings, daily questionnaires, interviews. and observation. The data were analyzed quantitatively. Even if the participants used a range of search media, most STs were simple throughout the data, and up to 42% of WTs did not include searching. WT's effects on STs are not straightforward: different WT types react differently to WT complexity. Due to the simplicity of authentic searching, the WT/ST types in interactive IR experiments should be reconsidered.
  3. Foss, E.; Druin, A.; Yip, J.; Ford, W.; Golub, E.; Hutchinson, H.: Adolescent search roles (2013) 0.01
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    Abstract
    In this article, we present an in-home observation and in-context research study investigating how 38 adolescents aged 14-17 search on the Internet. We present the search trends adolescents display and develop a framework of search roles that these trends help define. We compare these trends and roles to similar trends and roles found in prior work with children ages 7, 9, and 11. We use these comparisons to make recommendations to adult stakeholders such as researchers, designers, and information literacy educators about the best ways to design search tools for children and adolescents, as well as how to use the framework of searching roles to find better methods of educating youth searchers. Major findings include the seven roles of adolescent searchers, and evidence that adolescents are social in their computer use, have a greater knowledge of sources than younger children, and that adolescents are less frustrated by searching tasks than younger children.
  4. Torres, S.D.; Hiemstra, D.; Weber, I.; Serdyukov, P.: Query recommendation in the information domain of children (2014) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.7, S.1368-1384
  5. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.01
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    Date
    26. 1.2014 18:48:22
  6. Monchaux, S.; Amadieu, F.; Chevalier, A.; Mariné, C.: Query strategies during information searching : effects of prior domain knowledge and complexity of the information problems to be solved (2015) 0.01
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    Date
    25. 1.2016 18:46:22
  7. Pontis, S.; Blandford, A.; Greifeneder, E.; Attalla, H.; Neal, D.: Keeping up to date : an academic researcher's information journey (2017) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 68(2017) no.1, S.22-35
  8. Wu, I.-C.; Vakkari, P.: Effects of subject-oriented visualization tools on search by novices and intermediates (2018) 0.01
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    Date
    9.12.2018 16:22:25
  9. Sachse, J.: ¬The influence of snippet length on user behavior in mobile web search (2019) 0.01
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    Date
    20. 1.2015 18:30:22
  10. Hopkins, M.E.; Zavalina, O.L.: Evaluating physicians' serendipitous knowledge discovery in online discovery systems : a new approach (2019) 0.01
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    Date
    20. 1.2015 18:30:22
  11. Bowler, L.: ¬The self-regulation of curiosity and interest during the information search process of adolescent students (2010) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.7, S.1332-1344
  12. 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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    Source
    Library review. 59(2010) no.7, S.522-531
  13. Cole, C.: ¬A theory of information need for information retrieval that connects information to knowledge (2011) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.7, S.1216-1231
  14. Greyson, D.: Information triangulation : a complex and agentic everyday information practice (2018) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.7, S.869-878
  15. 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.
  16. 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.
  17. 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
  18. 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