Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly, Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, and Yi Chang. Ranking Relevance in Yahoo Search. **Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '16)**. ACM, New York, NY, USA, 323-332, 2016.
Ruey-Cheng Chen, Luke Gallagher, Roi Blanco, and J. Shane Culpepper. Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval. **Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '17)**. ACM, New York, NY, USA, 445-454, 2017.
Van Dang, Michael Bendersky, and W. Bruce Croft. Two-Stage learning to rank for information retrieval. **Proceedings of the 35th European conference on Advances in Information Retrieval (ECIR’13)**, Pavel Serdyukov, Pavel Braslavski, Sergei O. Kuznetsov, Jaap Kamps, and Stefan Rüger (Eds.). Springer-Verlag, Berlin, Heidelberg, 423-434, 2013.
Andrei Z. Broder, David Carmel, Michael Herscovici, Aya Soffer, and Jason Zien. Efficient query evaluation using a two-level retrieval process. **Proceedings of the twelfth international conference on Information and knowledge management (CIKM '03)**. ACM, New York, NY, USA, 426-434, 2003.
N. Asadi, J. Lin and A. P. de Vries. Runtime Optimizations for Tree-Based Machine Learning Models. **In IEEE Transactions on Knowledge and Data Engineering**, vol. 26, no. 9, 2281-2292, 2014.