Media Buying Algorithms

Media Buying Algorithms is a computational method within programmatic advertising that automates the acquisition of digital ad inventory by dynamically evaluating and bidding on available impressions in real time based on predefined performance criteria and audience targeting models.

10

Publications

673

Citations

23

Authors

25

Institutions

Publications per year

2017–2026

3

Variants

Programmatic Bidding Algorithms

Authors

23

  1. DH
    Dennis H. Gensch

    University of Wisconsin–Milwaukee, United States

    2 publications · 51 citations

    2

    h-index

  2. JL
    Jameson L. Hayes

    University of Alabama, United States

    1 publications · 107 citations

    1

    h-index

  3. GC
    Gang Chen

    Chinese Academy of Sciences, China

    1 publications · 136 citations

    1

    h-index

  4. SJ
    Su Jung Kim

    Northwestern University, United States

    1 publications · 107 citations

    1

    h-index

  5. XQ
    Xuebing Qin

    East China Normal University, China

    1 publications · 204 citations

    1

    h-index

1–5 of 23

Venues

  1. Journal of Advertising

    3 publications · 447 citations

    3

    h-index

  2. Journal of Marketing Research

    2 publications · 51 citations

    2

    h-index

  3. SSRN Electronic Journal

    Repository · 1 publications · 21 citations

    1

    h-index

  4. Marketing Science

    1 publications · 55 citations

    1

    h-index

  5. Applied Mathematics Research eXpress

    AMRX · 1 publications · 18 citations

    1

    h-index

1–5