Search (10 results, page 1 of 1)

  • × year_i:[1970 TO 1980}
  • × theme_ss:"Retrievalalgorithmen"
  1. Sparck Jones, K.: Search term relevance weighting given little relevance information (1979) 0.04
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.329-338.
    Source
    Journal of documentation. 35(1979), S.30-48
    Type
    a
  2. Robertson, S.E.: ¬The probability ranking principle in IR (1977) 0.03
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willet. San Francisco: Morgan Kaufmann 1997. S.281-286.
    Source
    Journal of documentation. 33(1977), S.294-304
    Type
    a
  3. Sparck Jones, K.: ¬A statistical interpretation of term specifity and its application in retrieval (1972) 0.02
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    Source
    Journal of documentation. 28(1972), S.11-21
    Type
    a
  4. Boyer, R.; Moore, S.: ¬A fast string searching algorithm (1977) 0.02
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    Source
    Communications of the Association for Computing Machinery. 20(1977), S.762-772
    Type
    a
  5. Schiminovich, S.: Automatic classification and retrieval of documents by means of a bibliographic pattern discovery algorithm (1971) 0.00
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    Source
    Information storage and retrieval. 6(1971), S.417-435
    Type
    a
  6. Rijsbergen, C.J. van: ¬A fast hierarchic clustering algorithm (1970) 0.00
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    Source
    Computer journal. 13(1970), S.324-326
    Type
    a
  7. Aho, A.; Corasick, M.: Efficient string matching : an aid to bibliographic search (1975) 0.00
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    Source
    Communications of the Association for Computing Machinery. 18(1975), S.333-340
    Type
    a
  8. Robertson, S.E.; Belkin, N.J.: Ranking in principle (1978) 0.00
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    Source
    Journal of documentation. 34(1978), S.93-100
    Type
    a
  9. Croft, W.B.; Harper, D.J.: Using probabilistic models of document retrieval without relevance information (1979) 0.00
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    Abstract
    Based on a probablistic model, proposes strategies for the initial search and an intermediate search. Retrieval experiences with the Cranfield collection of 1,400 documents show that this initial search strategy is better than conventional search strategies both in terms of retrieval effectiveness and in terms of the number of queries that retrieve relevant documents. The intermediate search is a useful substitute for a relevance feedback search. A cluster search would be an effective alternative strategy.
    Source
    Journal of documentation. 35(1979) no.4, S.285-295
    Type
    a
  10. Sachs, W.M.: ¬An approach to associative retrieval through the theory of fuzzy sets (1976) 0.00
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    Abstract
    The theory of fuzzy sets is used to provide a rogorous formulation of the problem of associative retrieval. This formulation suggests the idea of using fuzzy clustering to organize data for retrieval
    Source
    Journal of the American Society for information science. 27(1976), S.85-87
    Type
    a