Exploring Exposure Bias in Recommender Systems from Causality Perspective

Exposure bias widely exists in recommender systems, particularly in the case of with implicit feedbacks. It seriously influences user's satisfaction of recommendations. There are a number of methods for mitigating the exposure bias from different perspectives. In this paper, we survey the publications that focus on addressing the exposure bias issue in RS with the help of causal inference ideas. W...