Search (464 results, page 1 of 24)

  • × theme_ss:"Retrievalstudien"
  1. Wood, F.; Ford, N.; Miller, D.; Sobczyk, G.; Duffin, R.: Information skills, searching behaviour and cognitive styles for student-centred learning : a computer-assisted learning approach (1996) 0.01 
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    Abstract
    Undergraduates were tested to establish how they searched databases, the effectiveness of their searches and their satisfaction with them. The students' cognitive and learning styles were determined by the Lancaster Approaches to Studying Inventory and Riding's Cognitive Styles Analysis tests. There were significant differences in the searching behaviour and the effectiveness of the searches carried out by students with different learning and cognitive styles. Computer-assisted learning (CAL) packages were developed for three departments. The effectiveness of the packages were evaluated. Significant differences were found in the ways students with different learning styles used the packages. Based on the experience gained, guidelines for the teaching of information skills and the production and use of packages were prepared. About 2/3 of the searches had serious weaknesses, indicating a need for effective training. It appears that choice of searching strategies, search effectiveness and use of CAL packages are all affected by the cognitive and learning styles of the searcher. Therefore, students should be made aware of their own styles and, if appropriate, how to adopt more effective strategies
    Source
    Journal of information science. 22(1996) no.2, S.79-92
    Type
    a
  2. Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990) 0.01 
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    Date
    22. 7.2006 18:43:54
    Type
    a
  3. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.01 
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    Date
    20.10.2000 12:22:23
    Type
    a
  4. Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998) 0.01 
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    Source
    Online. 22(1998) no.6, S.57-58
    Type
    a
  5. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.01 
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    Date
    11. 8.2001 16:22:19
    Type
    a
  6. Salton, G.: ¬The Smart environment for retrieval systeme valuation : advantages and problem areas (1981) 0.01 
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  7. Buckley, C.; Singhal, A.; Mitra, M.; Salton, G.: New retrieval approaches using SMART : TREC 4 (1996) 0.01 
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  8. Sheridan, P.; Ballerini, J.P.; Schäuble, P.: Building a large multilingual test collection from comparable news documents (1998) 0.01 
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    Source
    Cross-language information retrieval. Ed.: G. Grefenstette
    Type
    a
  9. Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983) 0.01 
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    Pages
    S.22-25
    Type
    a
  10. Rijsbergen, C.J. van: ¬A test for the separation of relevant and non-relevant documents in experimental retrieval collections (1973) 0.01 
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    Abstract
    Many retrievalexperiments are intended to discover ways of improving performance, taking the results obtained with some particular technique as a baseline. The fact that substantial alterations to a system often have little or no effect on particular collections is puzzling. This may be due to the initially poor seperation of relevant and non-relevant documents. The paper presents a procedure for characterizing this seperation for a collection, which can be used to show whether proposed modifications of the base system are likely to be useful.
    Date
    19. 3.1996 11:22:12
    Type
    a
  11. Salton, G.; Lesk, M.E.: Computer evaluation of indexing and text processing (1968) 0.01 
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  12. Davis, M.W.: On the effective use of large parallel corpora in cross-language text retrieval (1998) 0.01 
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    Source
    Cross-language information retrieval. Ed.: G. Grefenstette
    Type
    a
  13. Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997) 0.01 
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    Date
    27. 2.1999 20:55:22
    Type
    a
  14. Ng, K.B.; Loewenstern, D.; Basu, C.; Hirsh, H.; Kantor, P.B.: Data fusion of machine-learning methods for the TREC5 routing tak (and other work) (1997) 0.01 
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    Date
    27. 2.1999 20:59:22
    Type
    a
  15. Blair, D.C.; Maron, M.E.: ¬An evaluation of retrieval effectiveness for a full-text document-retrieval system (1985) 0.01 
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    Footnote
    Vgl. auch : Salton, G.: Another look ... Comm. ACM 29(1986) S.S.648-656; Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23: Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. proc. man. 26(1990) S.437-447.
    Type
    a
  16. Blagden, J.F.: How much noise in a role-free and link-free co-ordinate indexing system? (1966) 0.01 
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    Abstract
    A study of the number of irrelevant documents retrieved in a co-ordinate indexing system that does not employ eitherr roles or links. These tests were based on one hundred actual inquiries received in the library and therefore an evaluation of recall efficiency is not included. Over half the enquiries produced no noise, but the mean average percentage niose figure was approximately 33 per cent based on a total average retireval figure of eighteen documents per search. Details of the size of the indexed collection, methods of indexing, and an analysis of the reasons for the retrieval of irrelevant documents are discussed, thereby providing information officers who are thinking of installing such a system with some evidence on which to base a decision as to whether or not to utilize these devices
    Source
    Journal of documentation. 22(1966), S.203-209
    Type
    a
  17. Pemberton, J.K.; Ojala, M.; Garman, N.: Head to head : searching the Web versus traditional services (1998) 0.01 
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    Abstract
    Describes of 3 searches on the topic of virtual communities done on the WWW using HotBot and traditional databases using LEXIS-NEXIS and ABI/Inform. Concludes that the WWW is a good starting place for a broad concept search but the traditional services are better for more precise topics
    Source
    Online. 22(1998) no.3, S.24-26,28
    Type
    a
  18. Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001) 0.01 
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    Abstract
    Die deutschen Suchmaschinen, Abacho, Acoon, Fireball und Lycos sowie die Web-Kataloge Web.de und Yahoo! werden einem Qualitätstest nach relativem Recall, Precision und Availability unterzogen. Die Methoden der Retrievaltests werden vorgestellt. Im Durchschnitt werden bei einem Cut-Off-Wert von 25 ein Recall von rund 22%, eine Precision von knapp 19% und eine Verfügbarkeit von 24% erreicht
    Type
    a
  19. Rapke, K.: Automatische Indexierung von Volltexten für die Gruner+Jahr Pressedatenbank (2001) 0.01 
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    Abstract
    Retrieval Tests sind die anerkannteste Methode, um neue Verfahren der Inhaltserschließung gegenüber traditionellen Verfahren zu rechtfertigen. Im Rahmen einer Diplomarbeit wurden zwei grundsätzlich unterschiedliche Systeme der automatischen inhaltlichen Erschließung anhand der Pressedatenbank des Verlagshauses Gruner + Jahr (G+J) getestet und evaluiert. Untersucht wurde dabei natürlichsprachliches Retrieval im Vergleich zu Booleschem Retrieval. Bei den beiden Systemen handelt es sich zum einen um Autonomy von Autonomy Inc. und DocCat, das von IBM an die Datenbankstruktur der G+J Pressedatenbank angepasst wurde. Ersteres ist ein auf natürlichsprachlichem Retrieval basierendes, probabilistisches System. DocCat demgegenüber basiert auf Booleschem Retrieval und ist ein lernendes System, das auf Grund einer intellektuell erstellten Trainingsvorlage indexiert. Methodisch geht die Evaluation vom realen Anwendungskontext der Textdokumentation von G+J aus. Die Tests werden sowohl unter statistischen wie auch qualitativen Gesichtspunkten bewertet. Ein Ergebnis der Tests ist, dass DocCat einige Mängel gegenüber der intellektuellen Inhaltserschließung aufweist, die noch behoben werden müssen, während das natürlichsprachliche Retrieval von Autonomy in diesem Rahmen und für die speziellen Anforderungen der G+J Textdokumentation so nicht einsetzbar ist
    Type
    a
  20. Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995) 0.01 
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    Abstract
    The performance of an information retrieval or text and media filtering system may be determined through analytic methods as well as by traditional simulation or experimental methods. These analytic methods can provide precise statements about expected performance. They can thus determine which of 2 similarly performing systems is superior. For both a single query terms and for a multiple query term retrieval model, a model for comparing the performance of different probabilistic retrieval methods is developed. This method may be used in computing the average search length for a query, given only knowledge of database parameter values. Describes predictive models for inverse document frequency, binary independence, and relevance feedback based retrieval and filtering. Simulation illustrate how the single term model performs and sample performance predictions are given for single term and multiple term problems
    Date
    22. 2.1996 13:14:10
    Type
    a

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