Search (20 results, page 1 of 1)

  • × year_i:[1970 TO 1980}
  1. Fugmann, R.: On the role of subjectivity in establishing, using, operating and evaluating information retrieval systems : treatise 2 on information retrieval theory (1973) 0.11
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    Source
    Information storage and retrieval. 9(1973), S.353-372
  2. Pollitt, A.S.: Information storage and retrieval systems : origin, development and applications (1979) 0.09
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    Content
    Enthält folgende Kapitel: (1) Recording knowledge; (2) Classifying and indexing; (3) Searching; (4) Building and searching a database; (5) Front-end systems; (6) From viewdata to hypermedia; (7) Evaluation
  3. Rijsbergen, C.J. van: Information retrieval (1979) 0.08
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    LCSH
    Information storage and retrieval systems
    RSWK
    Information Retrieval
    Datenverarbeitung / Information Retrieval
    Subject
    Information Retrieval
    Datenverarbeitung / Information Retrieval
    Information storage and retrieval systems
  4. Wilson, P.: Situational relevance (1971) 0.07
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    Source
    Information storage and retrieval. 9(1971), S.457-471
  5. Kemp, D.A.: Relevance, pertinence and information system development (1974) 0.07
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    Abstract
    The difference between pertinence and relevance is discussed. Other pairs of terms and the differences between their members are examined, and the suggestion is made that such studies could increase our understanding of the theory of information systems, and thence lead to practical improvements.
    Source
    Information storage and retrieval. 10(1974), S.37-47
  6. Kuhlen, R.: Experimentelle Morphologie in der Informationswissenschaft (1977) 0.07
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    LCSH
    Information storage and retrieval systems
    Subject
    Information storage and retrieval systems
  7. Cooper, W.S.: ¬A definition for relevance in information retrieval (1971) 0.06
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    Source
    Information storage and retrieval. 7(1971), S.19-37
  8. Wall, R.A.: Indexing language structure for automated retrieval (1973) 0.06
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    Source
    Information storage and retrieval. 9(1973), S.607-617
  9. Turski, W.M.: On a model of information retrieval system based on thesaurus (1971) 0.06
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    Source
    Information storage and retrieval. 7(1971) no.2, S.89-94
  10. Jardine, N.; Rijsbergen, C.J. van: ¬The use of hierarchic clustering in information retrieval (1971) 0.06
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    Source
    Information storage and retrieval. 7(1971), S.217-240
  11. Sparck Jones, K.; Jackson, D.M.: ¬The use of automatically obtained keyword classification for information retrieval (1970) 0.06
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    Source
    Information storage and retrieval. 5(1970), S.175-201
  12. Foskett, D.J.: ¬A note on the concept of 'relevance' (1972) 0.06
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    Source
    Information storage and retrieval. 8(1972), S.77-78
  13. Gray, W.A.; Harley, A.J.: Computer assisted indexing (1971) 0.06
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    Source
    Information storage and retrieval. 7(1971), S.167-174
  14. Sparck Jones, K.: Index term weighting (1973) 0.06
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    Source
    Information storage and retrieval. 9(1973), S.619-633
  15. Schiminovich, S.: Automatic classification and retrieval of documents by means of a bibliographic pattern discovery algorithm (1971) 0.06
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    Source
    Information storage and retrieval. 6(1971), S.417-435
  16. Fugmann, R.; Kusemann, G.; Winter, H.J.: ¬The supply of information an chemical reactions in the IDC system (1979) 0.05
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    Source
    Information storage and retrieval. 15(1979), S.303-323
  17. Farradane, J.; Russel, J.M.; Yates-Mercer, P.A.: Problems in information retrieval : logical jumps in the expression of information (1973) 0.05
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    Source
    Information storage and retrievak. 9(1973) no.2, S.65-77
  18. Hafer, M.A.; Weiss, S.F.: Word segmentation by letter successor varieties (1974) 0.03
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    Abstract
    This paper describes a method for automatically segmenting words into their stems and affixes. The process uses certain statistical properties of corpus (successor and predecessor letter variety counts) to indicate where words should be divided. Consequently, this process is less reliant on human intervention than are other methods for automated stemming. The segmentation system is used to construct stem dictionariesfor documnet classification. Information retrieval experiments are then performed using documents and queries so classified. Results show not only that this method is capable of high quality word segmentation, but also that its use in information retrieval produce results that are at least as good as thosse obtained using the more traditional stemming process.
    Source
    Information storage and retrieval. 10(1974) H.11/12, S.371-385
  19. Heine, M.H.: Distance between sets as an objective measure of retrieval effectiveness (1973) 0.03
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    Abstract
    A general measure of retrieval effectiveness having full metric properties and treating the 'retrieval system - arbiter of relevance' situation symmetrically, is the Marczewski-Steinhaus metric, D, measuring the distance between the set of relevant documents, A, and set of retrieved documents, B, according to D=1-(n(A´B)/n(AvB)). D can be expressed as a function of precision and recall, or of generality, fallout and recall, and of other sets of traditional measures. Acceptance of the measure allows criteria for retrieval optimality and degeneracy to be stated, defined by minimum and constant values of D respectively. Precision-recall degeneracy curves for D are given and compared with those for another general measure: the probability that a document will be correctly identfied by a retrieval system. Statistical extensions of D are examined, and these and other properties of the metric are illustrated with seven examples
    Source
    Information storage and retrieval. 9(1973), S.181-198
  20. Adamson, G.W.; Boreham, J.: ¬The use of an association measure based on character structure to identify semantically related pairs of words and document titles (1974) 0.03
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    Source
    Information storage and retrieval. 10(1974), S.253-260