Search (119 results, page 5 of 6)

  • × theme_ss:"Retrievalstudien"
  1. Kwok, K.L.: ¬A network approach to probabilistic information retrieval (1995) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  2. Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  3. Colace, F.; Santo, M. de; Greco, L.; Napoletano, P.: Improving relevance feedback-based query expansion by the use of a weighted word pairs approach (2015) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  4. 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
  5. Tseng, Y.-H.: Solving vocabulary problems with interactive query expansion (1998) 0.00 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  6. Kantor, P.; Kim, M.H.; Ibraev, U.; Atasoy, K.: Estimating the number of relevant documents in enormous collections (1999) 0.00 
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  7. White, H.D.: Relevance theory and distributions of judgments in document retrieval (2017) 0.00 
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    Abstract
    This article extends relevance theory (RT) from linguistic pragmatics into information retrieval. Using more than 50 retrieval experiments from the literature as examples, it applies RT to explain the frequency distributions of documents on relevance scales with three or more points. The scale points, which judges in experiments must consider in addition to queries and documents, are communications from researchers. In RT, the relevance of a communication varies directly with its cognitive effects and inversely with the effort of processing it. Researchers define and/or label the scale points to measure the cognitive effects of documents on judges. However, they apparently assume that all scale points as presented are equally easy for judges to process. Yet the notion that points cost variable effort explains fairly well the frequency distributions of judgments across them. By hypothesis, points that cost more effort are chosen by judges less frequently. Effort varies with the vagueness or strictness of scale-point labels and definitions. It is shown that vague scales tend to produce U- or V-shaped distributions, while strict scales tend to produce right-skewed distributions. These results reinforce the paper's more general argument that RT clarifies the concept of relevance in the dialogues of retrieval evaluation.
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. Ellis, D.: Progress and problems in information retrieval (1996) 0.00 
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    Date
    26. 7.2002 20:22:46
  14. Cross-language information retrieval (1998) 0.00 
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    Content
    Enthält die Beiträge: GREFENSTETTE, G.: The Problem of Cross-Language Information Retrieval; DAVIS, M.W.: On the Effective Use of Large Parallel Corpora in Cross-Language Text Retrieval; BALLESTEROS, L. u. W.B. CROFT: Statistical Methods for Cross-Language Information Retrieval; Distributed Cross-Lingual Information Retrieval; Automatic Cross-Language Information Retrieval Using Latent Semantic Indexing; EVANS, D.A. u.a.: Mapping Vocabularies Using Latent Semantics; PICCHI, E. u. C. PETERS: Cross-Language Information Retrieval: A System for Comparable Corpus Querying; YAMABANA, K. u.a.: A Language Conversion Front-End for Cross-Language Information Retrieval; GACHOT, D.A. u.a.: The Systran NLP Browser: An Application of Machine Translation Technology in Cross-Language Information Retrieval; HULL, D.: A Weighted Boolean Model for Cross-Language Text Retrieval; SHERIDAN, P. u.a. Building a Large Multilingual Test Collection from Comparable News Documents; OARD; D.W. u. B.J. DORR: Evaluating Cross-Language Text Filtering Effectiveness
  15. Blagden, J.F.: How much noise in a role-free and link-free co-ordinate indexing system? (1966) 0.00 
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    Source
    Journal of documentation. 22(1966), S.203-209
  16. Smithson, S.: Information retrieval evaluation in practice : a case study approach (1994) 0.00 
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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
  17. Blair, D.C.: STAIRS Redux : thoughts on the STAIRS evaluation, ten years after (1996) 0.00 
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    Source
    Journal of the American Society for Information Science. 47(1996) no.1, S.4-22
  18. Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995) 0.00 
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    Date
    22. 2.1996 13:14:10
  19. Hodges, P.R.: Keyword in title indexes : effectiveness of retrieval in computer searches (1983) 0.00 
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    Date
    14. 3.1996 13:22:21
  20. Brown, M.E.: By any other name : accounting for failure in the naming of subject categories (1995) 0.00 
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    Date
    2.11.1996 13:08:22

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