Ad Placement Optimization

Ad Placement Optimization is a computational method in media buying that systematically determines the most effective positioning of advertisements across digital platforms to maximize campaign performance metrics such as reach, engagement, or conversion, distinguished from other media planning techniques by its focus on real-time, data-driven adjustments to placement strategies.

48

Publications

2.5K

Citations

140

Authors

64

Institutions

Publications per year

2017–2026

18

Authors

140

  1. EG
    Evgeniy Gabrilovich

    Yahoo (United States), United States

    4 publications · 272 citations

    4

    h-index

  2. AB
    Andrei Broder

    Yahoo (United States), United States

    3 publications · 118 citations

    3

    h-index

  3. JF
    Jon Feldman

    Google (United States), United States

    3 publications · 231 citations

    3

    h-index

  4. VJ
    Vanja Josifovski

    Yahoo (United States), United States

    3 publications · 118 citations

    3

    h-index

  5. VM
    Vahab Mirrokni

    Google (United States), United States

    3 publications · 231 citations

    3

    h-index

1–5 of 140

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 265 citations

    2

    h-index

  2. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 1 publications · 14 citations

    1

    h-index

  3. Management Science

    1 publications · 138 citations

    1

    h-index

  4. ACM Transactions on Management Information Systems

    TMIS · 1 publications · 11 citations

    1

    h-index

  5. 1

    h-index

1–5