Search (4 results, page 1 of 1)

  • × author_ss:"Maron, M.E."
  • × year_i:[1980 TO 1990}
  1. Salton, G.; Rijsbergen, C.J. van; Maron, M.E.: Panel on key issues in information retrieval (1983) 0.01 
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    Abstract
    Contribution to an issue devoted to the 6th Annual International Conference of the Special Interest Group on Information Retrieval of the Association for Computing Machinery (USA) held at the National Library of Medicine, Bethesda, Maryland, from 6-8 June 83. The following papers were presented in session 12 which was a panel on key issues in information retrieval: SALTON, G.: Research problems in automatic information retrieval; RIJSBERGEN, C.J. van: Information retrieval: new directions, old solutions; MARON, M.E.: Open problems in information retrieval
  2. Blair, D.C.; Maron, M.E.: ¬An evaluation of retrieval effectiveness for a full-text document-retrieval system (1985) 0.01 
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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.
  3. Maron, M.E.: Associative search techniques versus probabilistic retrieval models (1982) 0.01 
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    Abstract
    Offers a personal look back at the origins and early use of associative search techniques, and also a look forward at more theoretical approaches to the document retrieval problems. The purpose is to contrast the following 2 different ways of improving system performance: appending associative search techniques to more or less standard (conventional) document retrieval systems; and designing document retrieval systems based on more fundamental and appropriate principles namely probabilistic design principles. Very recent work on probabilistic approaches to the document retrieval problem has provided a new (and rare) unification of 2 previously competing models. In light of this, argues that if we had to choose the best way to improve performance of a document retrieval system, it would be wiser to implement, test, and evaluate this new unified model, rather than to continue to use associative techniques which are coupled to conventionally designed retrieval systems
    Source
    Journal of the American Society for Information Science. 33(1982) no.5, S.308-310
  4. Maron, M.E.: Probabilistic design principles for conventional and full-text retrieval systems (1988) 0.01 
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    Abstract
    In order for conventionally designed commercial document retrieval systems to perform perfectly, the following 2 (logical) conditions must be satisfied for every search: there exists a document property (or combinations of properties) that belongs to those (and only those) documents that are relevant; that property (or combination of properties) can be correctly guessed by the searcher. In general, the 1st assumption is false, and the second is impossible to satisfy; hence no conventional IR system can perform at a maximum level of effectiveness. However, different design principles can lead to improved performance. Presents a view of the document retrieval problem that shows that since the relationship between document properties (whether they be humanly assigned index terms or words that occur in the running text) and relevance is at best probabilistic, one should approach the design problem using probabilistic principles. It turns out that a front end system designed to permit searchers to attach probabilistically interpreted weights to their query terms could be adapted for conventional IR systems. Such an enhancement could lead to improved performance
    Source
    Information processing and management. 24(1988) no.3, S.249-255

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