Summaries and notes on Real Time Bidding research papers
- 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
- Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions by Baltaoglu et al. ArXiv 2017. link