  Conversational recommender systems support users in accomplishing
recommendation-related goals via multi-turn conversations. To better model
dynamically changing user preferences and provide the community with a reusable
development framework, we introduce IAI MovieBot, a conversational recommender
system for movies. It features a task-specific dialogue flow, a multi-modal
chat interface, and an effective way to deal with dynamically changing user
preferences. The system is made available open source and is operated as a
channel on Telegram.
