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rtb-paper-notes

Summaries and notes on Real Time Bidding research papers

CTR / CVR

  • Learning Piece-wise Linear Models from Large Scale Data for Ad Click Prediction by Gai et al. ArXiv 2017. link
  • Neural Feature Embedding for User Response Prediction in Real-Time Bidding by Enno Shioji, Masayuki Arai. ArXiv 2017. link
  • Optimized Cost per Click in Taobao Display Advertising by Zhu et al. ArXiv 2017. link
  • Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions by Vasile and Lefortier. Arxiv 2016. link
  • SEM: A Softmax-based Ensemble Model for CTR estimation in Real-Time Bidding advertising by Zhu et al. IEEE 2017. link

Auction Bidding Strategy

  • Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions by Baltaoglu et al. ArXiv 2017. link

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A list of papers for Real Time Bidding / AdTech

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