Bargaining theory with applications
Bargaining theory with applications
The VLDB Journal — The International Journal on Very Large Data Bases
Reducing mechanism design to algorithm design via machine learning
Journal of Computer and System Sciences
Pricing guaranteed contracts in online display advertising
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
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We consider negotiations between publishers and advertisers in a marketplace for ads. Motivated by Google's online PrintAds system which is such a marketplace, we focus on the role of the market runner in improving market efficiency. We abstract the problem of pricing guidance where the market runner provides an initial price-point for negotiations based on data analysis. The problem is nuanced because the market runner can not fully reveal the price data for any of the publishers. We introduce two solutions for pricing guidance, the first using clustering and the second using support vector machines, and present experimental evaluation of our methods. Pricing guidance by the market runner is a novel direction, and we expect more research in the future.