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  1. Over, P.: ¬The TREC interactive track : an annotated bibliography (2001) 0.01
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    Source
    Information processing and management. 37(2001) no.3, S.369-381
  2. Voorhees, E.M.: Variations in relevance judgements and the measurement of retrieval effectiveness (2000) 0.01
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    Source
    Information processing and management. 36(2000) no.5, S.697-716
  3. Rao, A.; Lu, A.; Meier, E.; Ahmed, S.; Pliske, D.: Query processing in TREC6 (2000) 0.01
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    Source
    Information processing and management. 36(2000) no.1, S.179-186
  4. Smeaton, A.F.: TREC-6: personal highlights (2000) 0.01
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    Source
    Information processing and management. 36(2000) no.1, S.87-94
  5. Robertson, S.E.; Walker, S.; Beaulieu, M.: Experimentation as a way of life : Okapi at TREC (2000) 0.01
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    Source
    Information processing and management. 36(2000) no.1, S.95-108
  6. Pedersen, J.O.; Silverstein, C.; Vogt, C.C.: Verity at TREC-6 : out-of-the-box and beyond (2000) 0.01
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    Source
    Information processing and management. 36(2000) no.1, S.187-196
  7. Cormack, G.V.; Clarke, C.L.A.; Palmer, C.R.; To, S.S.L.: Passage-based refinement : MultiText experiments for TREC-6 (2000) 0.01
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    Source
    Information processing and management. 36(2000) no.1, S.133-153
  8. Wolfram, D.; Dimitroff, A.: Hypertext vs. Boolean-based searching in a bibliographic database environment : a direct comparison of searcher performance (1998) 0.01
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    Source
    Information processing and management. 34(1998) no.6, S.669-679
  9. Cole, C.: Intelligent information retrieval : Part IV: Testing the timing of two information retrieval devices in a naturalistic setting (2001) 0.01
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    Source
    Information processing and management. 37(2001) no.1, S.163-182
  10. MacCall, S.L.; Cleveland, A.D.; Gibson, I.E.: Outline and preliminary evaluation of the classical digital library model (1999) 0.01
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    Abstract
    The growing number of networked information resources and services offers unprecedented opportunities for delivering high quality information to the computer desktop of a wide range of individuals. However, currently there is a reliance on a database retrieval model, in which endusers use keywords to search large collections of automatically indexed resources in order to find needed information. As an alternative to the database retrieval model, this paper outlines the classical digital library model, which is derived from traditional practices of library and information science professionals. These practices include the selection and organization of information resources for local populations of users and the integration of advanced information retrieval tools, such as databases and the Internet into these collections. To evaluate this model, library and information professionals and endusers involved with primary care medicine were asked to respond to a series of questions comparing their experiences with a digital library developed for the primary care population to their experiences with general Internet use. Preliminary results are reported
  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. Callan, J.; Croft, W.B.; Broglio, J.: TREC and TIPSTER experiments with INQUERY (1995) 0.01
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    Source
    Information processing and management. 31(1995) no.3, S.327-343
  15. Borgman, C.L.: Why are online catalogs still hard to use? (1996) 0.01
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    Abstract
    We return to arguments made 10 years ago that online catalogs are difficult to use because their design does not incorporate sufficient understanding of searching behavior. The earlier article examined studies of information retrieval system searching for their implications for online catalog design; this article examines the implications of card catalog design for online catalogs. With this analysis, we hope to contribute to a better understanding of user behavior and to lay to rest the card catalog design model for online catalogs. We discuss the problems with query matching systems, which were designed for skilled search intermediaries rather than end-users, and the knowledge and skills they require in the information-seeking process, illustrated with examples of searching card and online catalogs. Searching requires conceptual knowledge of the information retrieval process - translating an information need into a searchable query; semantic knowledge of how to implement a query in a given system - the how and when to use system features; and technical skills in executing the query - basic computing skills and the syntax of entering queries as specific search statements. In the short term, we can help make online catalogs easier to use through improved training and documentation that is based on information-seeking bahavior, with the caveat that good training is not a substitute for good system design. Our long term goal should be to design intuitive systems that require a minimum of instruction. Given the complexity of the information retrieval problem and the limited capabilities of today's systems, we are far from achieving that goal. If libraries are to provide primary information services for the networked world, they need to put research results on the information-seeking process into practice in designing the next generation of online public access information retrieval systems
  16. 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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    Date
    19. 3.1996 11:22:12
  17. Sanderson, M.: ¬The Reuters test collection (1996) 0.01
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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
  18. Lespinasse, K.: TREC: une conference pour l'evaluation des systemes de recherche d'information (1997) 0.01
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    Date
    1. 8.1996 22:01:00
  19. 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
  20. Serrano Cobos, J.; Quintero Orta, A.: Design, development and management of an information recovery system for an Internet Website : from documentary theory to practice (2003) 0.01
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    Abstract
    A real case study is shown, explaining in a timeline the whole process of design, development and evaluation of a search engine used as a navigational help tool for end users and clients an a content website, e-commerce driven. The nature of the website is a community website, which will determine the core design of the information service. This study will involve several steps, such as information recovery system analysis, comparative analysis of other commercial search engines, service design, functionalities and scope; software selection, design of the project, project management, future service administration and conclusions.

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