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  • × theme_ss:"Retrievalstudien"
  1. Rijsbergen, C.J. van: Retrieval effectiveness (1981) 0.15
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  2. Crestani, F.; Ruthven, I.; Sanderson, M.; Rijsbergen, C.J. van: ¬The troubles with using a logical model of IR on a large collection of documents : experimenting retrieval by logical imaging on TREC (1996) 0.09
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    Source
    The Fourth Text Retrieval Conference (TREC-4). Ed.: K. Harman
  3. Information retrieval experiment (1981) 0.08
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    Content
    Enthält die Beiträge: ROBERTSON, S.E.: The methodology of information retrieval experiment; RIJSBERGEN, C.J. van: Retrieval effectiveness; BELKIN, N.: Ineffable concepts in information retrieval; TAGUE, J.M.: The pragmatics of information retrieval experimentation; LANCASTER, F.W.: Evaluation within the environment of an operating information service; BARRACLOUGH, E.D.: Opportunities for testing with online systems; KEEN, M.E.: Laboratory tests of manual systems; ODDY, R.N.: Laboratory tests: automatic systems; HEINE, M.D.: Simulation, and simulation experiments; COOPER, W.S.: Gedanken experimentation: an alternative to traditional system testing?; SPARCK JONES, K.: Actual tests - retrieval system tests; EVANS, L.: An experiment: search strategy variation in SDI profiles; SALTON, G.: The Smart environment for retrieval system evaluation - advantage and problem areas
    Editor
    Sparck Jones, K.
  4. Sparck Jones, K.; Rijsbergen, C.J. van: Progress in documentation : Information retrieval test collection (1976) 0.06
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  5. Rijsbergen, C.J. van: ¬A test for the separation of relevant and non-relevant documents in experimental retrieval collections (1973) 0.06
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    Date
    19. 3.1996 11:22:12
  6. Rijsbergen, C.J. van: Foundations of evaluation (1974) 0.05
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  7. Lespinasse, K.: TREC: une conference pour l'evaluation des systemes de recherche d'information (1997) 0.05
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    Date
    1. 8.1996 22:01:00
  8. Sparck Jones, K.: Retrieval system tests 1958-1978 (1981) 0.05
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  9. Sparck Jones, K.: ¬The Cranfield tests (1981) 0.05
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    Source
    Information retrieval experiments. Ed.: K. Sparck Jones
  10. Ruthven, I.; Lalmas, M.; Rijsbergen, K. van: Combining and selecting characteristics of information use (2002) 0.05
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    Abstract
    Ruthven, Lalmas, and van Rijsbergen use traditional term importance measures like inverse document frequency, noise, based upon in-document frequency, and term frequency supplemented by theme value which is calculated from differences of expected positions of words in a text from their actual positions, on the assumption that even distribution indicates term association with a main topic, and context, which is based on a query term's distance from the nearest other query term relative to the average expected distribution of all query terms in the document. They then define document characteristics like specificity, the sum of all idf values in a document over the total terms in the document, or document complexity, measured by the documents average idf value; and information to noise ratio, info-noise, tokens after stopping and stemming over tokens before these processes, measuring the ratio of useful and non-useful information in a document. Retrieval tests are then carried out using each characteristic, combinations of the characteristics, and relevance feedback to determine the correct combination of characteristics. A file ranks independently of query terms by both specificity and info-noise, but if presence of a query term is required unique rankings are generated. Tested on five standard collections the traditional characteristics out preformed the new characteristics, which did, however, out preform random retrieval. All possible combinations of characteristics were also tested both with and without a set of scaling weights applied. All characteristics can benefit by combination with another characteristic or set of characteristics and performance as a single characteristic is a good indicator of performance in combination. Larger combinations tended to be more effective than smaller ones and weighting increased precision measures of middle ranking combinations but decreased the ranking of poorer combinations. The best combinations vary for each collection, and in some collections with the addition of weighting. Finally, with all documents ranked by the all characteristics combination, they take the top 30 documents and calculate the characteristic scores for each term in both the relevant and the non-relevant sets. Then taking for each query term the characteristics whose average was higher for relevant than non-relevant documents the documents are re-ranked. The relevance feedback method of selecting characteristics can select a good set of characteristics for query terms.
  11. Crestani, F.; Rijsbergen, C.J. van: Information retrieval by imaging (1996) 0.04
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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
  12. Leininger, K.: Interindexer consistency in PsychINFO (2000) 0.04
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    Date
    9. 2.1997 18:44:22
  13. Kuriyama, K.; Kando, N.; Nozue, T.; Eguchi, K.: Pooling for a large-scale test collection : an analysis of the search results from the First NTCIR Workshop (2002) 0.04
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  14. Robertson, S.E.: ¬The methodology of information retrieval experiment (1981) 0.03
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  15. Belkin, N.J.: Ineffable concepts in information retrieval (1981) 0.03
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  16. Tague, J.M.: ¬The pragmatics of information retrieval experimentation (1981) 0.03
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  17. Barraclough, E.D.: Opportunities for testing with online systems (1981) 0.03
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  18. Keen, E.M.: Laboratory tests of manual systems (1981) 0.03
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    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  19. Oddy, R.N.: Laboratory tests : automatic systems (1981) 0.03
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              3.569778 = idf(docFreq=3384, maxDocs=44218)
              0.044110727 = queryNorm
            0.63105357 = fieldWeight in 3153, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.569778 = idf(docFreq=3384, maxDocs=44218)
              0.125 = fieldNorm(doc=3153)
      0.33333334 = coord(1/3)
    
    Source
    Information retrieval experiment. Ed.: K. Sparck Jones
  20. Heine, M.D.: Simulation, and simulation experiments (1981) 0.03
    0.033123057 = product of:
      0.09936917 = sum of:
        0.09936917 = weight(_text_:k in 3154) [ClassicSimilarity], result of:
          0.09936917 = score(doc=3154,freq=2.0), product of:
            0.1574655 = queryWeight, product of:
              3.569778 = idf(docFreq=3384, maxDocs=44218)
              0.044110727 = queryNorm
            0.63105357 = fieldWeight in 3154, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.569778 = idf(docFreq=3384, maxDocs=44218)
              0.125 = fieldNorm(doc=3154)
      0.33333334 = coord(1/3)
    
    Source
    Information retrieval experiment. Ed.: K. Sparck Jones

Languages

  • e 101
  • d 9
  • f 1
  • m 1
  • More… Less…

Types

  • a 101
  • s 8
  • m 5
  • el 2
  • r 1
  • More… Less…