Search (42 results, page 1 of 3)

  • × theme_ss:"Retrievalstudien"
  1. Hull, D.A.: Stemming algorithms : a case study for detailed evaluation (1996) 0.02 
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    Abstract
    The majority of information retrieval experiments are evaluated by measures such as average precision and average recall. Fundamental decisions about the superiority of one retrieval technique over another are made solely on the bases of these measures. We claim that average performance figures need to be validated with a careful statistical analysis and that there is a great deal of additional information that can be uncovered by looking closely at the results of individual queries. This article is a case study of stemming algorithms which describes a number of novel approaches to evaluation and demonstrates their value
  2. Peritz, B.C.: On the informativeness of titles (1984) 0.02 
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    Abstract
    The frequency of non-informative titles of journal articles was assessed for two fields: library and information science and sociology. The percentage of non informative titles was 21% in the formaer and 15% in the latter. In both fields, the non-informative titles, were concentratein only a few journals. The non-informative titles in library science were derived mainly from non-research journals. IN sociology the reasons for non-informative titles may be more complex; some of these journals are highly cited. For the improvement of retrievaleffiency the adoption of a policy encouraging informative titles (as in journals of chemistry) is recommended.
  3. Ribeiro, F.: Subject indexing and authority control in archives : the need for subject indexing in archives and for an indexing policy using controlled language (1996) 0.02 
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  4. Cavanagh, A.K.: ¬A comparison of the retrieval performance of multi-disciplinary table-of-contents databases with conventional specialised databases (1997) 0.02 
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    Abstract
    In an endeavour to compare retrieval performance and periodical overlap in a biological field, the same topic was searched on 5 Table of Contents (ToC) databases and 3 specialised biological databases. Performance was assessed in terms of precision and recall. The ToC databases in general had higher precision in that most material found was relevant. They were less satisfactory in recall where some located fewer than 50% of identified high relevance articles. Subject specific databases had overall better recall but lower precision with many more false drops and items of low relevance occuring. These differences were associated with variations in indexing practice and policy and searching capabilities of the various databases. In a further comparison, it was found that the electronic databases, as a group, identified only 75% of the articles known from independent source to have been published in the field
  5. Voorhees, E.M.; Harman, D.K.: ¬The Text REtrieval Conference (2005) 0.01 
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    Abstract
    Text retrieval technology targets a problem that is all too familiar: finding relevant information in large stores of electronic documents. The problem is an old one, with the first research conference devoted to the subject held in 1958 [11]. Since then the problem has continued to grow as more information is created in electronic form and more people gain electronic access. The advent of the World Wide Web, where anyone can publish so everyone must search, is a graphic illustration of the need for effective retrieval technology. The Text REtrieval Conference (TREC) is a workshop series designed to build the infrastructure necessary for the large-scale evaluation of text retrieval technology, thereby accelerating its transfer into the commercial sector. The series is sponsored by the U.S. National Institute of Standards and Technology (NIST) and the U.S. Department of Defense. At the time of this writing, there have been twelve TREC workshops and preparations for the thirteenth workshop are under way. Participants in the workshops have been drawn from the academic, commercial, and government sectors, and have included representatives from more than twenty different countries. These collective efforts have accomplished a great deal: a variety of large test collections have been built for both traditional ad hoc retrieval and related tasks such as cross-language retrieval, speech retrieval, and question answering; retrieval effectiveness has approximately doubled; and many commercial retrieval systems now contain technology first developed in TREC.
  6. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.01 
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    Date
    20.10.2000 12:22:23
  7. 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
  8. 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
  9. 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
  10. TREC: experiment and evaluation in information retrieval (2005) 0.01 
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    Footnote
    ... TREC: Experiment and Evaluation in Information Retrieval is a reliable and comprehensive review of the TREC program and has been adopted by NIST as the official history of TREC (see http://trec.nist.gov). We were favorably surprised by the book. Well structured and written, chapters are self-contained and the existence of references to specialized and more detailed publications is continuous, which makes it easier to expand into the different aspects analyzed in the text. This book succeeds in compiling TREC evolution from its inception in 1992 to 2003 in an adequate and manageable volume. Thanks to the impressive effort performed by the authors and their experience in the field, it can satiate the interests of a great variety of readers. While expert researchers in the IR field and IR-related industrial companies can use it as a reference manual, it seems especially useful for students and non-expert readers willing to approach this research area. Like NIST, we would recommend this reading to anyone who may be interested in textual information retrieval."
  11. 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
  12. 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
  13. 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
  14. Rijsbergen, C.J. van: ¬A test for the separation of relevant and non-relevant documents in experimental retrieval collections (1973) 0.00 
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    Date
    19. 3.1996 11:22:12
  15. Sanderson, M.: ¬The Reuters test collection (1996) 0.00 
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    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  16. Lespinasse, K.: TREC: une conference pour l'evaluation des systemes de recherche d'information (1997) 0.00 
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    Date
    1. 8.1996 22:01:00
  17. ¬The Fifth Text Retrieval Conference (TREC-5) (1997) 0.00 
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    Abstract
    Proceedings of the 5th TREC-confrerence held in Gaithersburgh, Maryland, Nov 20-22, 1996. Aim of the conference was discussion on retrieval techniques for large test collections. Different research groups used different techniques, such as automated thesauri, term weighting, natural language techniques, relevance feedback and advanced pattern matching, for information retrieval from the same large database. This procedure makes it possible to compare the results. The proceedings include papers, tables of the system results, and brief system descriptions including timing and storage information
  18. Pemberton, J.K.; Ojala, M.; Garman, N.: Head to head : searching the Web versus traditional services (1998) 0.00 
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    Source
    Online. 22(1998) no.3, S.24-26,28
  19. Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001) 0.00 
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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
  20. Ellis, D.: Progress and problems in information retrieval (1996) 0.00 
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    Date
    26. 7.2002 20:22:46

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