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  1. Binder, G.; Stahl, M.; Faulborn, L.: Vergleichsuntersuchung MESSENGER-FULCRUM (2000) 0.00 
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  2. Morse, E.; Lewis, M.; Olsen, K.A.: Testing visual information retrieval methodologies case study : comparative analysis of textual, icon, graphical, and "spring" displays (2002) 0.00 
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  3. Kluck, M.; Mandl, T.; Womser-Hacker, C.: Cross-Language Evaluation Forum (CLEF) : Europäische Initiative zur Bewertung sprachübergreifender Retrievalverfahren (2002) 0.00 
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  4. Huang, M.-h.; Wang, H.-y.: ¬The influence of document presentation order and number of documents judged an users' judgments of relevance (2004) 0.00 
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  5. Al-Maskari, A.; Sanderson, M.: ¬A review of factors influencing user satisfaction in information retrieval (2010) 0.00 
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  6. Gödert, W.; Liebig, M.: Maschinelle Indexierung auf dem Prüfstand : Ergebnisse eines Retrievaltests zum MILOS II Projekt (1997) 0.00 
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  7. TREC: experiment and evaluation in information retrieval (2005) 0.00 
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    Content
    Enthält die Beiträge: 1. The Text REtrieval Conference - Ellen M. Voorhees and Donna K. Harman 2. The TREC Test Collections - Donna K. Harman 3. Retrieval System Evaluation - Chris Buckley and Ellen M. Voorhees 4. The TREC Ad Hoc Experiments - Donna K. Harman 5. Routing and Filtering - Stephen Robertson and Jamie Callan 6. The TREC Interactive Tracks: Putting the User into Search - Susan T. Dumais and Nicholas J. Belkin 7. Beyond English - Donna K. Harman 8. Retrieving Noisy Text - Ellen M. Voorhees and John S. Garofolo 9.The Very Large Collection and Web Tracks - David Hawking and Nick Craswell 10. Question Answering in TREC - Ellen M. Voorhees 11. The University of Massachusetts and a Dozen TRECs - James Allan, W. Bruce Croft and Jamie Callan 12. How Okapi Came to TREC - Stephen Robertson 13. The SMART Project at TREC - Chris Buckley 14. Ten Years of Ad Hoc Retrieval at TREC Using PIRCS - Kui-Lam Kwok 15. MultiText Experiments for TREC - Gordon V. Cormack, Charles L. A. Clarke, Christopher R. Palmer and Thomas R. Lynam 16. A Language-Modeling Approach to TREC - Djoerd Hiemstra and Wessel Kraaij 17. BM Research Activities at TREC - Eric W. Brown, David Carmel, Martin Franz, Abraham Ittycheriah, Tapas Kanungo, Yoelle Maarek, J. Scott McCarley, Robert L. Mack, John M. Prager, John R. Smith, Aya Soffer, Jason Y. Zien and Alan D. Marwick Epilogue: Metareflections on TREC - Karen Sparck Jones
    Type
    m
  8. Gluck, M.: Understanding performance in information systems : blending relevance and competence (1995) 0.00 
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  9. Sievert, M.E.; McKinin, E.J.; Slough, M.: ¬A comparison of indexing and full-text for the retrieval of clinical medical literature (1988) 0.00 
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  10. Shafique, M.; Chaudhry, A.S.: Intelligent agent-based online information retrieval (1995) 0.00 
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  11. Shakir, H.S.; Nagao, M.: Context-sensitive processing of semantic queries in an image database system (1996) 0.00 
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  12. Drabenstott, K.M.; Vizine-Goetz, D.: Using subject headings for online retrieval : theory, practice and potential (1994) 0.00 
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    Type
    m
  13. Ferret, O.; Grau, B.; Hurault-Plantet, M.; Illouz, G.; Jacquemin, C.; Monceaux, L.; Robba, I.; Vilnat, A.: How NLP can improve question answering (2002) 0.00 
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  14. 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) 0.00 
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    Source
    Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas
  15. Landoni, M.; Bell, S.: Information retrieval techniques for evaluating search engines : a critical overview (2000) 0.00 
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  16. Baillie, M.; Azzopardi, L.; Ruthven, I.: Evaluating epistemic uncertainty under incomplete assessments (2008) 0.00 
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  17. Kutlu, M.; Elsayed, T.; Lease, M.: Intelligent topic selection for low-cost information retrieval evaluation : a new perspective on deep vs. shallow judging (2018) 0.00 
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  18. Gluck, M.: Exploring the relationship between user satisfaction and relevance in information systems (1996) 0.00 
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  19. Wildemuth, B.M.; Jacob, E.K.; Fullington, A.;; Bliek, R. de; Friedman, C.P.: ¬A detailed analysis of end-user search behaviours (1991) 0.00 
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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
  20. Robertson, S.E.; Sparck Jones, K.: Simple, proven approaches to text retrieval (1997) 0.00 
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    Abstract
    This technical note describes straightforward techniques for document indexing and retrieval that have been solidly established through extensive testing and are easy to apply. They are useful for many different types of text material, are viable for very large files, and have the advantage that they do not require special skills or training for searching, but are easy for end users. The document and text retrieval methods described here have a sound theoretical basis, are well established by extensive testing, and the ideas involved are now implemented in some commercial retrieval systems. Testing in the last few years has, in particular, shown that the methods presented here work very well with full texts, not only title and abstracts, and with large files of texts containing three quarters of a million documents. These tests, the TREC Tests (see Harman 1993 - 1997; IP&M 1995), have been rigorous comparative evaluations involving many different approaches to information retrieval. These techniques depend an the use of simple terms for indexing both request and document texts; an term weighting exploiting statistical information about term occurrences; an scoring for request-document matching, using these weights, to obtain a ranked search output; and an relevance feedback to modify request weights or term sets in iterative searching. The normal implementation is via an inverted file organisation using a term list with linked document identifiers, plus counting data, and pointers to the actual texts. The user's request can be a word list, phrases, sentences or extended text.

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