Corpus ID: 49573572

Learning Theory and Algorithms for Revenue Management in Sponsored Search

@article{Wang2018LearningTA,
  title={Learning Theory and Algorithms for Revenue Management in Sponsored Search},
  author={Lulu Wang and Huahui Liu and Guanhao Chen and Shaola Ren and Xiaonan Meng and Yi Hu},
  journal={ArXiv},
  year={2018},
  volume={abs/1807.01827}
}
  • Lulu Wang, Huahui Liu, +3 authors Yi Hu
  • Published in ArXiv 2018
  • Mathematics, Computer Science
  • Online advertisement is the main source of revenue for Internet business. Advertisers are typically ranked according to a score that takes into account their bids and potential click-through rates(eCTR). Generally, the likelihood that a user clicks on an ad is often modeled by optimizing for the click through rates rather than the performance of the auction in which the click through rates will be used. This paper attempts to eliminate this dis-connection by proposing loss functions for click… CONTINUE READING
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