Data-Driven Reserve Prices for Social Advertising Auctions at LinkedIn

@article{Cui2017DataDrivenRP,
  title={Data-Driven Reserve Prices for Social Advertising Auctions at LinkedIn},
  author={Tingting Cui and Lijun Peng and David Pardoe and Kun Liu and Deepak K. Agarwal and Deepak Kumar},
  journal={Proceedings of the ADKDD'17},
  year={2017}
}
Online advertising auctions constitute an important source of revenue for search engines such as Google and Bing, as well as social networks such as Facebook, LinkedIn and Twitter. We study the problem of setting the optimal reserve price in a Generalized Second Price auction, guided by auction theory with suitable adaptations to social advertising at LinkedIn. Two types of reserve prices are deployed: one at the user level, which is kept private by the publisher, and the other at the audience… 

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