Search Failure Analysis

Search Failure Analysis is a systematic investigative method within the field of information retrieval that identifies, classifies, and analyzes patterns of user search outcomes in which intended information needs are not met, thereby distinguishing itself from general search log analysis by focusing specifically on the causes, characteristics, and implications of unsuccessful search interactions.

33

Publications

1.2K

Citations

72

Authors

44

Institutions

Publications per year

2017–2026

5

Authors

72

  1. JM
    Jack Mostow

    Carnegie Mellon University, United States

    2 publications · 33 citations

    2

    h-index

  2. RR
    Ray R. Larson

    University of California, Berkeley, United States

    2 publications · 165 citations

    2

    h-index

  3. CB
    Chris Buckley

    Cornell University, United States

    2 publications · 135 citations

    2

    h-index

  4. NB
    Neeraj Bhatnagar

    Rutgers, The State University of New Jersey, United States

    2 publications · 33 citations

    2

    h-index

  5. MS
    Marjorie S. Weller

    University of Michigan, United States

    2 publications · 80 citations

    2

    h-index

1–5 of 72

Venues

  1. Journal of the American Society for Information Science

    JASIS · 4 publications · 321 citations

    4

    h-index

  2. The Library Quarterly

    LQ · 3 publications · 94 citations

    3

    h-index

  3. Machine Learning

    2 publications · 33 citations

    2

    h-index

  4. Data and Information Management

    1 publications · 12 citations

    1

    h-index

  5. Information Development

    1 publications · 12 citations

    1

    h-index

1–5