Seminer: Semih Onur Sezer, “Optimal Dynamic Bidding for Multiple Keywords in Search Based Advertising”
Optimal Dynamic Bidding for Multiple Keywords in Search Based Advertising
We consider an advertiser bidding for ad positions on a search engine. Keyword inquiries arrive according to a Poisson process, and at each arrival time the advertiser bids for an ad position on the result page. In this setting, the objective of the advertiser is to find a dynamic bidding policy maximizing her expected revenue over a finite horizon subject to a strict budget constraint. In this talk, we will discuss the solution of this problem, and we will illustrate some numerical examples. This is a joint work with Savaş Dayanık from Bilkent University.
Bio: Semih Sezer is a facullty member at Sabancı University. He has received his PhD and MS degrees from Princeton University and his BSc degree from Boğaziçi University. His research is in the area of stochastic processes and stochastic modelling. He is interested in stochastic optimal control problems in revenue management, finance, and inventory management. At Sabancı University he is teaching courses on probability, statistics, stochastic modelling, and mathematical finance. The list of his publications and the courses he has offered at Sabancı University are available at http://people.sabanciuniv.edu/sezer/