Search (72 results, page 1 of 4)

  • × theme_ss:"Suchtaktik"
  1. Fourie, I.: ¬A theoretical model for studying Web information seeking / searching behaviour (2003) 0.03
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    Source
    Tendencias de investigación en organización del conocimient: IV Cologuio International de Ciencas de la Documentación , VI Congreso del Capitulo Espanol de ISKO = Trends in knowledge organization research. Eds.: J.A. Frias u. C. Travieso
  2. Wildemuth, B.M.; Jacob, E.K.; Fullington, A.;; Bliek, R. de; Friedman, C.P.: ¬A detailed analysis of end-user search behaviours (1991) 0.03
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    Source
    ASIS'91: systems understanding people. Proc. of the 54th Annual Meeting of the ASIS, vol.28, Washington, DC, 27.-31.10.1991. Ed.: J.-M. Griffiths
  3. Saastamoinen, M.; Järvelin, K.: Search task features in work tasks of varying types and complexity (2017) 0.03
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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.
  4. Habernal, I.; Konopík, M.; Rohlík, O.: Question answering (2012) 0.03
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    Abstract
    Question Answering is an area of information retrieval with the added challenge of applying sophisticated techniques to identify the complex syntactic and semantic relationships present in text in order to provide a more sophisticated and satisfactory response to the user's information needs. For this reason, the authors see question answering as the next step beyond standard information retrieval. In this chapter state of the art question answering is covered focusing on providing an overview of systems, techniques and approaches that are likely to be employed in the next generations of search engines. Special attention is paid to question answering using the World Wide Web as the data source and to question answering exploiting the possibilities of Semantic Web. Considerations about the current issues and prospects for promising future research are also provided.
  5. Crestani, F.; Du, H.: Written versus spoken queries : a qualitative and quantitative comparative analysis (2006) 0.03
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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
  6. Vakkari, P.; Pennanen, M.; Serola, S.: Changes of search terms and tactics while writing a research proposal : a longitudinal case study (2003) 0.02
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    Abstract
    The study analyses how students' growing understanding of the topic and search experience were related to their choice of search tactics and terms while preparing a research proposal for a small empirical study. In addition to that, the findings of the study are used to test Vakkari's (2001) theory of task-based IR. The research subjects were 22 students of psychology attending a seminar for preparing the proposal. They made a search for their task in PsychINFO database at the beginning and end of the seminar. Data were collected in several ways. A pre- and post-search interview was conducted in both sessions. The students were asked to think aloud in the sessions. This was recorded as were the transaction logs. The results show that search experience was slightly related to the change of facets. Although the students' vocabulary of the topic grew generating an increased use of specific terms between the sessions, their use of search tactics and operators remained fairly constant. There was no correlation between the terms and tactics used and the total number of useful references found. By comparing these results with the findings of relevant earlier studies the conclusion was drawn that domain knowledge has an impact on searching assuming that users have a sufficient command of the system used. This implies that the tested theory of task-based IR is valid on condition that the searchers are experienced. It is suggested that the theory should be enriched by including search experience in its scope.
  7. Aloteibi, S.; Sanderson, M.: Analyzing geographic query reformulation : an exploratory study (2014) 0.02
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    Date
    26. 1.2014 18:48:22
  8. Nori, R.: Web searching and navigation : age, intelligence, and familiarity (2020) 0.02
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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
    Palmiero, M.
  9. Claassen, W.; Cornelius, P.; Ehrmann, D.; Tanghe, P.: Fachwissen Online-Recherche : Suchstrategien in Online-Datenbanken (1988) 0.02
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    Type
    m
  10. Ennis, M.; Sutcliffe, A.G.; Watkinson, S.J.: Towards a predictive model of information seeking : empirical studies of end-user-searching (1999) 0.02
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    Date
    22. 3.2002 9:54:13
  11. Morse, P.M.: Search theory and browsing (1970) 0.02
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    Date
    22. 5.2005 19:53:09
  12. Waschatz, B.: Schmökern ist schwierig : Viele Uni-Bibliotheken ordnen ihre Bücher nicht - Tipps für eine erfolgreiche Suche (2010) 0.02
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    Content
    Im Online-Katalog erfahren Studenten auch, ob das Buch verfügbar oder verliehen ist. Ist es gerade vergriffen, kann man es vormerken lassen, er- klärt Monika Ziller, Vorsitzen- de des Deutschen Bibliotheksverbands in Berlin. Dann werden die Studenten entsprechend benachrichtigt, wenn es zurückgegeben wurde. Außerdem könnten Studenten virtuelle Fachbibliotheken nutzen, erklärt Grau. Um das Thema Slavistik kümmert sich etwa die Staatsbibliothek in Berlin. Auf der Internetseite kann man über Suchbegriffe alle elektronischen Slavistik-Angebote wie Zeitschriften, E-Books oder Bibliografien durchforsten. Die virtuelle Fachbibliothek spuckt dann eine Titelliste aus. Bestenfalls können Studenten gleich auf einzelne Volltexte der Liste zugreifen. Oder sie müssen schauen, ob die eigene Bibliothek das gesuchte Werk hat. Vor allem Zeitschriften sind oft online im Volltext abrufbar, aber auch Enzyklopädien. "Die sind auch aktueller als der Brockhaus von 1990, der zu Hause im Regal steht" sagt Grau. Manchmal ließen sich die Texte aus Gründen des Urheberrechts aber nur auf den Rechnern auf dem Unicampus lesen, ergänzt Hohoff. Findet man ein Buch nicht, ist der Grund dafür oft ein Fehler, der sich bei der Suche eingeschlichen hat. Das fängt bei der Rechtschreibung an: "Bibliothekskataloge verfügen über keine fehlertolerante Suche wie Google", erklärt Ziller.
    Date
    3. 5.1997 8:44:22
  13. Stacey, Alison; Stacey, Adrian: Effective information retrieval from the Internet : an advanced user's guide (2004) 0.02
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    Content
    Key Features - Importantly, the book enables readers to develop strategies which will continue to be useful despite the rapidly-evolving state of the Internet and Internet technologies - it is not about technological `tricks'. - Enables readers to be aware of and compensate for bias and errors which are ubiquitous an the Internet. - Provides contemporary information an the deficiencies in web skills of novice users as well as practical techniques for teaching such users. The Authors Dr Alison Stacey works at the Learning Resource Centre, Cambridge Regional College. Dr Adrian Stacey, formerly based at Cambridge University, is a software programmer. Readership The book is aimed at a wide range of librarians and other information professionals who need to retrieve information from the Internet efficiently, to evaluate their confidence in the information they retrieve and/or to train others to use the Internet. It is primarily aimed at intermediate to advanced users of the Internet. Contents Fundamentals of information retrieval from the Internet - why learn web searching technique; types of information requests; patterns for information retrieval; leveraging the technology: Search term choice: pinpointing information an the web - why choose queries carefully; making search terms work together; how to pick search terms; finding the 'unfindable': Blas an the Internet - importance of bias; sources of bias; usergenerated bias: selecting information with which you already agree; assessing and compensating for bias; case studies: Query reformulation and longer term strategies - how to interact with your search engine; foraging for information; long term information retrieval: using the Internet to find trends; automating searches: how to make your machine do your work: Assessing the quality of results- how to assess and ensure quality: The novice user and teaching internet skills - novice users and their problems with the web; case study: research in a college library; interpreting 'second hand' web information.
    Type
    m
  14. White, M.D.; Iivonen, M.: Questions as a factor in Web search strategy (2001) 0.02
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  15. Morse, P.M.: Browsing and search theory (1973) 0.02
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    Date
    22. 5.2005 19:52:29
  16. 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
  17. Pejtersen, A.M.: ¬The Book House : Modelling user's needs and search strategies as a basis for system design (1989) 0.01
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    Series
    RISØ-M-2794
  18. Jahoda, G.; Braunagel, J.S.: ¬The librarian and reference queries : a systematic approach (1980) 0.01
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  19. Shuman, B.A.: Cases in online search strategy (1993) 0.01
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  20. Looking for information : a survey on research on information seeking, needs, and behavior (2012) 0.01
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Years

Languages

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Types

  • a 59
  • m 12
  • r 1
  • s 1
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