Search (6 results, page 1 of 1)

  • × theme_ss:"OPAC"
  • × author_ss:"Bates, M.J."
  1. Bates, M.J.: ¬An explanatory paradigm for online information retrieval (1986) 0.13
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    Pages
    S.91-99
    Source
    Intelligent information systems for the information society. Proc. of the 6th Int, Research Forum in Information Science, Frascati, 16.-18.9.1985. Ed.: B.C. Brooks
    Type
    a
  2. Bates, M.J.: Subject access in online catalogs: a design model (1986) 0.01
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    Source
    Journal of the American Society for Information Science. 37(1986), S.357-367
    Type
    a
  3. Bates, M.J.: Improving user access to library catalog and portal information (2004) 0.00
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    Abstract
    In this lecture, Dr. Bates summarizes the research she recently conducted in her role as a Principal Investigator for the Library of Congress Action Plan on Bibliographic Control of Web Resources. Her investigations focused on three particular topics: User access vocabulary, Links among bibliographic families, and Staging of access to resources in the interface. From each of these perspectives, she shares her recommendations on how to achieve enhanced access to and display of records for selected Web resources across multiple systems.
  4. Bates, M.J.: Rethinking subject cataloging in the online environment (1989) 0.00
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    Type
    a
  5. Bates, M.J.: ¬The design of browsing and berrypicking : techniques for the online search interface (1989) 0.00
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    Type
    a
  6. Bates, M.J.: ¬The fallacy of the perfect thirty-item online search (1984) 0.00
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    Abstract
    Problems in determining output size are sometimes associated with the performance of online bibliographic searches for clients in academic and other libraries. These problems are examined through discussion of a fallacy in thinking that arises when searchers try to produce the "perfect thirty-item" online search. Origins of the fallacy are explored by considering sources of misunderstandings between client and searcher and by identifying differences between manual and online searching. Several types of online searches are distinguished, and search techniques that avoid the fallacy are recommended for each search type
    Type
    a