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Communication Dans Un Congrès Année : 2010

Planning-based Approach for Optimizing the Display of Online Advertising Campaigns

Résumé

In a realistic context, the online advertisements have constraints such as a certain number of clicks to draw, as well as a lifetime. Furthermore, receiving a click is usually a very rare event. Thus, the problem of choosing which advertisement to display on a web page is inherently dynamic, and intimately combines combinato- rial and statistical issues. We introduce a planning based algorithm for optimizing the display of advertisements and investigate its performance through simulations on a realistic model designed with an important commercial web actor.
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Dates et versions

hal-00772512 , version 1 (10-01-2013)

Identifiants

  • HAL Id : hal-00772512 , version 1

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Sertan Girgin, Jérémie Mary, Philippe Preux, Olivier Nicol. Planning-based Approach for Optimizing the Display of Online Advertising Campaigns. NIPS workshop on Machine Learning in Online ADvertising, Dec 2010, Whistler, Canada. ⟨hal-00772512⟩
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