• Corpus ID: 44892814

Fast Demand Learning for Display Advertising Revenue Management

@inproceedings{Ciocan2014FastDL,
  title={Fast Demand Learning for Display Advertising Revenue Management},
  author={Dragos Florin Ciocan and Vivek F. Farias},
  year={2014}
}
The present paper is motivated by the network revenue management problems that occur in online display advertising. In this setting, each impression (demand) type corresponds to a vector of d user features; consequently, the overall number of demand types that need to be forecast is exponential in d. Our main contribution is to show that such high dimensional demand spaces can still be estimated efficiently. In particular, using a number of demand samples that scales linearly in d and… 

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