Abstract
implicit feedback 을 Learning-to-Rank 방식에 학습할 때 발생하는 bias (e.g., position bias) 를 줄이기 위해 counterfactual inference framework 를 제안
In contrast to most conventional approaches to de-bias the data using click models, 이 방식은 allows training of ranking functions even in settings where queries do not repeat.
B) Related
C) References
- paper link: https://arxiv.org/pdf/1608.04468.pdf