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Related Experiment Videos

Online search patterns: NLM CATLINE database.

J E Tolle, S Hah

    Journal of the American Society for Information Science. American Society for Information Science
    |February 9, 1985
    PubMed
    Summary
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    Analyzing user search patterns in the National Library of Medicine

    Area of Science:

    • Medical Informatics
    • Information Science

    Background:

    • User search patterns within the National Library of Medicine's ELHILL system were analyzed.
    • Previous analysis of the MEDLINE database provided comparative data.

    Purpose of the Study:

    • To analyze online search patterns in user sessions on the CATLINE database.
    • To compare the performance of CATLINE and MEDLINE databases within the ELHILL system.

    Main Methods:

    • Analysis of user search patterns during 1680 hours of system usage.
    • Examination of 441,282 transactions and 11,067 user sessions over eight weeks.
    • Comparative analysis of CATLINE and MEDLINE database usage data.

    Main Results:

    • Detailed descriptive analysis of user search behavior on CATLINE.

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  • Identified performance parameters for comparing CATLINE and MEDLINE.
  • Provided insights into user interaction with the ELHILL information system.

    • Conclusions:

    • Transaction log analysis methodology offers predictive power for developing real-time aids.
    • Descriptive analysis can assist in system design activities for information retrieval systems.
    • Understanding user search patterns is crucial for optimizing database performance and system usability.