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  1. Lesk, M.E.; Salton, G.: Relevance assements and retrieval system evaluation (1969) 0.01 
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  2. 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
  3. 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
  4. ¬The Fifth Text Retrieval Conference (TREC-5) (1997) 0.01 
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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
  5. Pemberton, J.K.; Ojala, M.; Garman, N.: Head to head : searching the Web versus traditional services (1998) 0.01 
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    Source
    Online. 22(1998) no.3, S.24-26,28
  6. Ellis, D.: Progress and problems in information retrieval (1996) 0.01 
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    Date
    26. 7.2002 20:22:46
  7. Blagden, J.F.: How much noise in a role-free and link-free co-ordinate indexing system? (1966) 0.01 
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    Source
    Journal of documentation. 22(1966), S.203-209
  8. Smithson, S.: Information retrieval evaluation in practice : a case study approach (1994) 0.01 
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    Abstract
    The evaluation of information retrieval systems is an important yet difficult operation. This paper describes an exploratory evaluation study that takes an interpretive approach to evaluation. The longitudinal study examines evaluation through the information-seeking behaviour of 22 case studies of 'real' users. The eclectic approach to data collection produced behavioral data that is compared with relevance judgements and satisfaction ratings. The study demonstrates considerable variations among the cases, among different evaluation measures within the same case, and among the same measures at different stages within a single case. It is argued that those involved in evaluation should be aware of the difficulties, and base any evaluation on a good understanding of the cases in question
  9. Blair, D.C.: STAIRS Redux : thoughts on the STAIRS evaluation, ten years after (1996) 0.01 
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    Source
    Journal of the American Society for Information Science. 47(1996) no.1, S.4-22
  10. Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995) 0.01 
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    Date
    22. 2.1996 13:14:10
  11. Hodges, P.R.: Keyword in title indexes : effectiveness of retrieval in computer searches (1983) 0.01 
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    Date
    14. 3.1996 13:22:21
  12. Brown, M.E.: By any other name : accounting for failure in the naming of subject categories (1995) 0.01 
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    Date
    2.11.1996 13:08:22
  13. Blair, D.C.: Full text retrieval : Evaluation and implications (1986) 0.01 
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    Footnote
    Vgl.: Blair, D.C., M.E. Maron: An evaluation ... Comm. ACM 28(1985) S.280-299; Salton, G.: Another look ... Comm. ACM 29(1986) S.648-656; Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. Proc. Man. 26(1990) S.437-447.
  14. ¬The Second Text Retrieval Conference : TREC-2 (1995) 0.01 
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    Content
    Enthält die Beiträge: HARMAN, D.: Overview of the Second Text Retrieval Conference (TREC-2); SPRACK JONES, K.: Reflections on TREC; BUCKLEY, C., J. ALLAN u. G. SALTON: Automatic routing and retrieval using SMART: TREC-2; CALLAN, J.P., W.B. CROFT u. J. BROGLIO: TREC and TIPSTER experiments with INQUERY; ROBERTSON, S.R., S. WALKER u. M.M. HANCOCK-BEAULIEU: Large test collection experiments on an operational, interactive system: OKAPI at TREC; ZOBEL, J., A. MOFFAT, R. WILKINSON u. R. SACKS-DAVIS: Efficient retrieval of partial documents; METTLER, M. u. F. NORDBY: TREC routing experiments with the TRW/Paracel Fast Data Finder; EVANS, D.A. u. R.G. LEFFERTS: CLARIT-TREC experiments; STRZALKOWSKI, T.: Natural language information retrieval; CAID, W.R., S.T. DUMAIS u. S.I. GALLANT: Learned vector-space models for document retrieval; BELKIN, N.J. P. KANTOR, E.A. FOX u. J.A. SHAW: Combining the evidence of multiple query representations for information retrieval
  15. Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995) 0.01 
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  16. Ferret, O.; Grau, B.; Hurault-Plantet, M.; Illouz, G.; Jacquemin, C.; Monceaux, L.; Robba, I.; Vilnat, A.: How NLP can improve question answering (2002) 0.01 
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  17. Blandford, A.; Adams, A.; Attfield, S.; Buchanan, G.; Gow, J.; Makri, S.; Rimmer, J.; Warwick, C.: ¬The PRET A Rapporter framework : evaluating digital libraries from the perspective of information work (2008) 0.01 
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  18. Abdou, S.; Savoy, J.: Searching in Medline : query expansion and manual indexing evaluation (2008) 0.01 
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    Abstract
    Based on a relatively large subset representing one third of the Medline collection, this paper evaluates ten different IR models, including recent developments in both probabilistic and language models. We show that the best performing IR models is a probabilistic model developed within the Divergence from Randomness framework [Amati, G., & van Rijsbergen, C.J. (2002) Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM-Transactions on Information Systems 20(4), 357-389], which result in 170% enhancements in mean average precision when compared to the classical tf idf vector-space model. This paper also reports on our impact evaluations on the retrieval effectiveness of manually assigned descriptors (MeSH or Medical Subject Headings), showing that by including these terms retrieval performance can improve from 2.4% to 13.5%, depending on the underling IR model. Finally, we design a new general blind-query expansion approach showing improved retrieval performances compared to those obtained using the Rocchio approach.
  19. Iivonen, M.: Consistency in the selection of search concepts and search terms (1995) 0.01 
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    Abstract
    Considers intersearcher and intrasearcher consistency in the selection of search terms. Based on an empirical study where 22 searchers from 4 different types of search environments analyzed altogether 12 search requests of 4 different types in 2 separate test situations between which 2 months elapsed. Statistically very significant differences in consistency were found according to the types of search environments and search requests. Consistency was also considered according to the extent of the scope of search concept. At level I search terms were compared character by character. At level II different search terms were accepted as the same search concept with a rather simple evaluation of linguistic expressions. At level III, in addition to level II, the hierarchical approach of the search request was also controlled. At level IV different search terms were accepted as the same search concept with a broad interpretation of the search concept. Both intersearcher and intrasearcher consistency grew most immediately after a rather simple evaluation of linguistic impressions
  20. Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989) 0.01 
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    Date
    9. 1.1996 10:22:31

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