Search (6 results, page 1 of 1)

  • × year_i:[1990 TO 2000}
  • × author_ss:"Rousseau, R."
  1. Egghe, L.; Rousseau, R.: Averaging and globalising quotients of informetric and scientometric data (1996) 0.02
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    Source
    Journal of information science. 22(1996) no.3, S.165-170
  2. Egghe, L.; Rousseau, R.: Introduction to informetrics : quantitative methods in library, documentation and information science (1990) 0.01
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    COMPASS
    Information science / Statistical mathematics
    LCSH
    Information science / Statistical methods
    Subject
    Information science / Statistical mathematics
    Information science / Statistical methods
  3. Egghe, L.; Rousseau, R.: ¬A theoretical study of recall and precision using a topological approach to information retrieval (1998) 0.01
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    Abstract
    Topologies for information retrieval systems are generated by certain subsets, called retrievals. Shows how recall and precision can be expressed using only retrievals. Investigates different types of retrieval systems: both threshold systems and close match systems and both optimal and non optimal retrieval. Highlights the relation with the hypergeometric and some non-standard distributions
    Source
    Information processing and management. 34(1998) nos.2/3, S.191-218
  4. Egghe, L.; Rousseau, R.: Topological aspects of information retrieval (1998) 0.01
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    Abstract
    Let (DS, DQ, sim) be a retrieval system consisting of a document space DS, a query space QS, and a function sim, expressing the similarity between a document and a query. Following D.M. Everett and S.C. Cater (1992), we introduce topologies on the document space. These topologies are generated by the similarity function sim and the query space QS. 3 topologies will be studied: the retrieval topology, the similarity topology and the (pseudo-)metric one. It is shown that the retrieval topology is the coarsest of the three, while the (pseudo-)metric is the strongest. These 3 topologies are generally different, reflecting distinct topological aspects of information retrieval. We present necessary and sufficient conditions for these topological aspects to be equal
    Source
    Journal of the American Society for Information Science. 49(1998) no.13, S.1144-1160
  5. Rousseau, R.: Bradford curves (1994) 0.01
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    Source
    Information processing and management. 30(1994) no.2, S.267-277
  6. Egghe, L.; Rousseau, R.: Duality in information retrieval and the hypegeometric distribution (1997) 0.00
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    Abstract
    Asserts that duality is an important topic in informetrics, especially in connection with the classical informetric laws. Yet this concept is less studied in information retrieval. It deals with the unification or symmetry between queries and documents, search formulation versus indexing, and relevant versus retrieved documents. Elaborates these ideas and highlights the connection with the hypergeometric distribution