IDEAS home Printed from https://ideas.repec.org/a/bla/jamest/v21y1970i5p330-337.html
   My bibliography  Save this article

A highly associative document retrieval system

Author

Listed:
  • Carl Cagan

Abstract

This paper describes a document retrieval system implemented with a subset of the medical literature. With the exception of the development of a negative dictionary, all system operations are completely automatic. Introduced are methods for computation of term‐term association factors, indexing, assignment of term‐document relevance values, and computations for recall and relevance. High weights are provided for low‐frequency terms, and retrieval is performed directly from highly connected term‐document files without elaboration. Recall and relevance are based on quantitative internal system computations, and results are compared with user evaluations.

Suggested Citation

  • Carl Cagan, 1970. "A highly associative document retrieval system," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 21(5), pages 330-337, September.
    • Handle: RePEc:bla:jamest:v:21:y:1970:i:5:p:330-337
    DOI: 10.1002/asi.4630210504
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.4630210504
    Download Restriction: no
    File URL: https://libkey.io/10.1002/asi.4630210504?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jamest:v:21:y:1970:i:5:p:330-337. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.