• DocumentCode
    1608587
  • Title

    Bidding strategies optimization for the online video ad spot market

  • Author

    Jacobik, Craig ; Dang, Au ; Fujii, Tomu ; Koerwer, Joseph ; Schultz, David ; Trouton, Eric ; Scherer, William T.

  • Author_Institution
    Dept. of Syst. & Inf. Eng., Univ. of Virginia, Charlottesville, VA, USA
  • fYear
    2011
  • Firstpage
    110
  • Lastpage
    114
  • Abstract
    Tidal TV is an online video advertising, optimization, and yield management solutions provider. Their current business strategy includes purchasing online video advertising inventory from content providers and delivering ads to their clients, using demographic targeting to maximize value. The problem is to develop, test, and simulate the best bidding strategies for both second price and first price auctions and then to identify the tradeoffs of using the optimized strategies over current existing strategies. Tidal TV will then incorporate learning from this exercise to further develop strategies to bid for online video ads.
  • Keywords
    Internet; advertising; electronic commerce; optimisation; strategic planning; television; bidding strategy optimization; demographic target; online video ad spot market; price auction; tidal TV; Advertising; Data models; Heuristic algorithms; Internet; Monte Carlo methods; Streaming media; TV;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Information Engineering Design Symposium (SIEDS), 2011 IEEE
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    978-1-4577-0446-8
  • Type

    conf

  • DOI
    10.1109/SIEDS.2011.5876864
  • Filename
    5876864