We hypothesize that both the context of the ongoing conversations and the users' previous chatting history will affect their continued interests in future engagement.
we propose a neural framework with three main layers, each modeling context, user history, and interactions between them, to explore how the conversation context and user chatting history jointly result in their re-entry behavior.