IAI MovieBot is a conversational recommender system for movies. It follows a standard task-oriented dialogue system architecture, comprising of natural language understanding (NLU), dialogue manager (DM), and natural language generation (NLG) components. The distinctive features of IAI MovieBot include a task-specific dialogue flow, a multi-modal chat interface, and an effective way to deal with dynamically changing user preferences. While our current focus is limited to movies, the system aims to be a reusable development framework that can support users in accomplishing recommendation-related goals via multi-turn conversations.
IAI MovieBot can be tried on the Telegram channel @IAI_MovieBot.
The installation instructions and documentation can be found on Read the Docs.
Run the following command to start the IAI MovieBot with Flask:
python -m moviebot.run -c config/moviebot_config_no_integration.yamlContributions are welcome. Changes to IAI MovieBot should conform to the IAI Python Style Guide.
The system is described in a CIKM'20 demo paper [PDF].
@inproceedings{Habib:2020:IMC,
author = {Habib, Javeria and Zhang, Shuo and Balog, Krisztian},
title = {IAI {MovieBot}: {A} Conversational Movie Recommender System},
year = {2020},
booktitle = {Proceedings of the 29th ACM International Conference on Information and Knowledge Management},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
pages = {3405--3408},
url = {https://doi.org/10.1145/3340531.3417433},
doi = {10.1145/3340531.3417433},
series = {CIKM '20}
}
Javeria Habib, Shuo Zhang, Krisztian Balog, and Ivica Kostric.