CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation

Xu Xie, Zhaoyang Liu, Shiwen Wu +6

To improve user experience and profits of corporations, modern industrial recommender systems usually aim to select the items that are most likely to be interacted with (e.g., clic…