论文标题

IAI Moviebot:会话电影推荐系统

IAI MovieBot: A Conversational Movie Recommender System

论文作者

Habib, Javeria, Zhang, Shuo, Balog, Krisztian

论文摘要

会话推荐系统支持用户通过多转交谈实现与建议相关的目标。为了更好地模型动态改变用户的偏好并为社区提供可重复使用的开发框架,我们介绍了IAI Moviebot,这是一种用于电影的对话推荐系统。它具有特定于任务的对话流,多模式聊天接口以及处理动态变化用户偏好的有效方法。该系统可提供开源,并作为电报上的频道操作。

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.

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