Call Classification Accuracy

Call Classification Accuracy is a performance metric in quality assurance that quantifies the precision with which customer service calls are categorized according to predefined typologies, distinguishing it from other evaluation metrics by its focus on the correctness of diagnostic labeling in dispatch processes.

42

Publications

1.5K

Citations

141

Authors

81

Institutions

Publications per year

2017–2026

11

Authors

141

  1. GT
    Gökhan Tür

    SRI International, United States

    4 publications · 292 citations

    4

    h-index

  2. DH
    Dilek Hakkani‐Tür

    Microsoft (United States), United States

    3 publications · 72 citations

    3

    h-index

  3. GR
    Giuseppe Riccardi

    University of Trento, Italy

    3 publications · 74 citations

    3

    h-index

  4. MR
    M. Rahim

    AT&T (United States), United States

    3 publications · 109 citations

    3

    h-index

  5. HJ
    Hong-Kwang Jeff Kuo

    IBM Research - Thomas J. Watson Research Center, United States

    3 publications · 52 citations

    3

    h-index

1–5 of 141

Venues

  1. 3

    h-index

  2. Bioacoustics

    3 publications · 54 citations

    3

    h-index

  3. Canadian Journal of Zoology

    1 publications · 128 citations

    1

    h-index

  4. 1

    h-index

  5. Scientific Reports

    1 publications · 102 citations

    1

    h-index

1–5