“…Furthermore, our user interaction module is inspired by prior work on conversation structure modeling. Compared with popular sequential conversation models that focus on messages' temporal features (Cheng et al, 2017;Jiao et al, 2018;Zeng et al, 2019), our module explicitly encodes the replying relationships to exploit the user conversation structure (Miura et al, 2018;Zayats and Ostendorf, 2018). It is shown that such structure indicates salient messages and can benefit various compelling applications, e.g., conversation summarization (Chang et al, 2013;Li et al, 2015) and discussion topic extraction (Li et al, 2016 However, its effect on conversation recommendation has not been explored yet, and our work aims to fill the gap.…”