Xinbo Zhang’s paper An Interactive Mechanism to Improve Question Answering Systems via Feedback was accepted by CIKM2019. We design an Interactive Mechanism aiming for PROmotion Via users’ feedback to QA systems (IMPROVEQA), a whole framework to not only make existing QA systems return more precise answers based on a few feedbacks over the original answers given by RDF QA systems, but also enhance paraphrasing dictionaries to ensure a continuous-learning capability in improving RDF QA systems. To provide better interactivity and online performance, we design a holistic graph mining algorithm (HWspan) to automatically refine the query graph. Extensive experiments on both Freebase and DBpedia confirm the effectiveness and superiority of our approach.