Search (8 results, page 1 of 1)

  • × author_ss:"Losee, R.M."
  1. Losee, R.M.: Improving collection browsing : small world networking and Gray code ordering (2017) 0.00
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    Theme
    Klassifikationssysteme im Online-Retrieval
    Verbale Doksprachen im Online-Retrieval
  2. Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995) 0.00
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    Date
    22. 2.1996 13:14:10
  3. Losee, R.M.: ¬The effect of assigning a metadata or indexing term on document ordering (2013) 0.00
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    Date
    28.10.2013 17:47:29
  4. Losee, R.M.: Decisions in thesaurus construction and use (2007) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  5. Losee, R.M.: Upper bounds for retrieval performance and their user measuring performance and generating optimal queries : can it get any better than this? (1994) 0.00
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    Abstract
    The best-case, random and worst-case document rankings and retrieval performance may be determined using a method discussed here. Knowledge of the best case performance allows users and system designers to determine how close to the optimum condition their search is and select queries and matching functions that will produce the best results. Suggests a method for deriving the optimal Boolean query for a given level of recall and a method for determining the quality of a Boolean query. Measures are proposed that modify conventional text retrieval measures such as precision, E, and average search length, so that the values for these measures are 1 when retrieval is optimal, 0 when retrieval is random, and -1 when worst-case. Tests using one of these measures show that many retrieval are optimal? Consequences for retrieval research are examined
  6. Losee, R.M.: Evaluating retrieval performance given database and query characteristics : analytic determination of performance surfaces (1996) 0.00
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    Date
    10. 1.1996 1:48:05
    Source
    Journal of the American Society for Information Science. 47(1996) no.1, S.95-105
  7. Losee, R.M.; Church Jr., L.: Are two document clusters better than one? : the cluster performance question for information retrieval (2005) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.1, S.106-108
  8. Willis, C.; Losee, R.M.: ¬A random walk on an ontology : using thesaurus structure for automatic subject indexing (2013) 0.00
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    Theme
    Konzeption und Anwendung des Prinzips Thesaurus