“…Subsequently, an ML model is updated by including those informative samples into the training dataset. As getting information from users to learn their preferences can be tiresome for them, AL could be a convenient information acquisition method for preference elicitation, considering the cost of obtaining labels for items from users (Iovine, Lops, Narducci, de Gemmis, & Semeraro, 2022;Karimi, Nanopoulos, & Schmidt-Thieme, 2015;Pommeranz, Broekens, Wiggers, Brinkman, & Jonker, 2012;Rubens, Elahi, Sugiyama, & Kaplan, 2015). In addition to AL, we consider the explainability of RS as a second component to fertilize the information acquired through user interactions.…”