Search (61 results, page 1 of 4)

  • × theme_ss:"Retrievalstudien"
  • × year_i:[1990 TO 2000}
  1. Saracevic, T.: Individual differences in organizing, searching and retrieving information (1991) 0.03 
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    Imprint
    Medford : Learned Information Inc.
  2. Shenouda, W.: Online bibliographic searching : how end-users modify their search strategies (1990) 0.02 
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    Medford, NJ : Learned Information Inc.
  3. Wildemuth, B.M.: Measures of success in searching a full-text fact base (1990) 0.02 
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    Medford, NJ : Learned Information Inc.
  4. Saracevic, T.; Mokros, H.; Su, L.: Nature of interaction between users and intermediaries in online searching : a qualitative analysis (1990) 0.02 
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  5. Wildemuth, B.M.; Jacob, E.K.; Fullington, A.;; Bliek, R. de; Friedman, C.P.: ¬A detailed analysis of end-user search behaviours (1991) 0.02 
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    Medford : Learned Information Inc.
  6. Smithson, S.: Information retrieval evaluation in practice : a case study approach (1994) 0.02 
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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
    Source
    Information processing and management. 30(1994) no.2, S.205-221
  7. Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995) 0.02 
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    Date
    22. 2.1996 13:14:10
    Source
    Information processing and management. 31(1995) no.4, S.555-572
  8. 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
    Source
    Information processing and management. 31(1995) no.2, S.173-190
  9. Logan, E.: Cognitive styles and online behaviour of novice searchers (1990) 0.01 
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    Source
    Information processing and management. 26(1990), S.503-510
  10. 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
  11. 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
  12. Evans, D.A.; Lefferts, R.G.: CLARIT-TREC experiments (1995) 0.01 
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    Abstract
    Describes the following elements of the CLARIT system information management system: natural language processing, document indexing, vector space querying and query augmentation. Reports on the processing results carried out as part of the TREC-2 and into system parameterization. Results demonstrate high prescision and excellent recall, but the system is not yet optimized
    Source
    Information processing and management. 31(1995) no.3, S.385-395
  13. TREC-1: The first text retrieval conference : Rockville, MD, USA, 4-6 Nov. 1993 (1993) 0.01 
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    Source
    Information processing and management. 29(1993) no.4, S.411-521
  14. 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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    Information processing and management. 34(1998) no.6, S.669-679
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. ¬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

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