1. [n. d.]. About attribution models. https://support.google.com/google-ads/answer/ 6259715?hl=en
2. Rohan Anil, Sandra Gadanho, Da Huang, and Nijith Jacob etc. 2022. On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models. In Recsys 2022 Workshop on Online Recommender Systems and User Modeling. ACM, New York, NY.
3. C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender. 2005. Learning to rank using gradient descent. In ICML '05: Proceedings of the 22nd International Conference on Machine learning. 89--96.
4. Z. Cao, T. Qin, T.-Y. Liu, M.-F. Tsai,, and H. Li. 2007. Learning to rank: from pairwise approach to listwise approach. In ICML '07: Proceedings of the 24th International Conference on Machine learning. 129--136.
5. David Carmel, Elad Haramaty, Arnon Lazerson, and Liane Lewin-Eytan. 2020. Multi-Objective Ranking Optimization for Product Search Using Stochastic Label Aggregation. In WWW '20: Proceedings of The Web Conference 2020. ACM, New York, NY, 373--383.