Debiasing Recommendation with Personal Popularity

1 code implementation • 12 Feb 2024 • Wentao Ning, Reynold Cheng, Xiao Yan, Ben Kao, Nan Huo, Nur AI Hasan Haldar, Bo Tang

Many methods have been proposed to reduce GP bias but they fail to notice the fundamental problem of GP, i. e., it considers popularity from a \textit{global} perspective of \textit{all users} and uses a single set of popular items, and thus cannot capture the interests of individual users.

counterfactual Counterfactual Inference