Robust matrix completion for rating-scale data

Abstract

We introduce a new Low-rank matrix completion (LRMC) algorithm designed specifically for discrete rating-scale data and robust to the presence of corrupted observations. Furthermore, we evaluate the performance of our proposed method and several competing approaches through simulation studies using discrete rating-scale data instead of continuous data, considering various attack scenarios. I am a speaker of the “Advances in robust methodologies” section.