Experimental results suggest the effectiveness of online learning as a way to exploit user feedback to tailor QE predictions to their quality standards and to cope with the heterogeneity of data coming from different domains.
though robust to user and domain changes, the method is solely driven by the distance computed between predicted and true labels, and it does not exploit any notion of similarity between tasks (e.g.