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  • × author_ss:"Maron, M.E."
  1. Blair, D.C.; Maron, M.E.: ¬An evaluation of retrieval effectiveness for a full-text document-retrieval system (1985) 0.00
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    Footnote
    Vgl. auch : Salton, G.: Another look ... Comm. ACM 29(1986) S.S.648-656; Blair, D.C.: Full text retrieval ... Int. Class. 13(1986) S.18-23: Blair, D.C., M.E. Maron: Full-text information retrieval ... Inf. proc. man. 26(1990) S.437-447.
    Source
    Communications of the Association for Computing Machinery. 28(1985), S.280-299
  2. Maron, M.E.: Automatic indexing : an experimental inquiry (1961) 0.00
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    Source
    Journal of the Association for Computing Machinery. 8(1961), S.404-417
  3. Maron, M.E.; Kuhns, I.L.: On relevance, probabilistic indexing and information retrieval (1960) 0.00
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    Abstract
    Reports on a novel technique for literature indexing and searching in a mechanized library system. The notion of relevance is taken as the key concept in the theory of information retrieval and a comparative concept of relevance is explicated in terms of the theory of probability. The resulting technique called 'Probabilistic indexing' allows a computing machine, given a request for information, to make a statistical inference and derive a number (called the 'relevance number') for each document, which is a measure of the probability that the document will satisfy the given request. The result of a search is an ordered list of those documents which satisfy the request ranked according to their probable relevance. The paper goes on to show that whereas in a conventional library system the cross-referencing ('see' and 'see also') is based soley on the 'semantic closeness' between index terms, statistical measures of closeness between index terms can be defined and computed. Thus, given an arbitrary request consisting of one (or many) index term(s), a machine can eleborate on it to increase the probability of selecting relevant documents that would not otherwise have been selected. Finally, the paper suggest an interpretation of the whole library problem as one where the request is considered as a clue on the basis of which the library system makes a concatenated statistical inference in order to provide as an output an ordered list of those documents which most probably satisfy the information needs of the user
    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.39-46.
    Source
    Journal of the Association for Computing Machinery. 7(1960) no.3, S.216-244
  4. Maron, M.E.: Theory and foundation of information retrieval : some introductory remarks (1978) 0.00
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    Source
    Drexel library quarterly. 14(1978) no.2, S.1-9
  5. Salton, G.; Rijsbergen, C.J. van; Maron, M.E.: Panel on key issues in information retrieval (1983) 0.00
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    Source
    SIGIR forum. 17(1983) no.4, S.251-267
  6. Blair, D.C.; Maron, M.E.: Full-text information retrieval : further analysis and clarification (1990) 0.00
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    Source
    Information processing and management. 26(1990), S.437-447
  7. Maron, M.E.: ¬An historical note on the origins of probabilistic indexing (2008) 0.00
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    Source
    Information processing and management. 44(2008) no.2, S.971-972
  8. Maron, M.E.: Depth of indexing (1979) 0.00
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    Source
    Journal of the American Society for Information Science. 30(1979), S.224-228
  9. Maron, M.E.: On indexing, retrieval and the meaning of about (1977) 0.00
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    Source
    Journal of the American Society for Information Science. 28(1977) no.1, S.38-43
  10. Maron, M.E.: Associative search techniques versus probabilistic retrieval models (1982) 0.00
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    Source
    Journal of the American Society for Information Science. 33(1982) no.5, S.308-310
  11. Maron, M.E.: Probabilistic design principles for conventional and full-text retrieval systems (1988) 0.00
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    Source
    Information processing and management. 24(1988) no.3, S.249-255