Real-world Conversational AI for Hotel Bookings
Machine Learning
2019-08-28 v1 Computation and Language
Machine Learning
Abstract
In this paper, we present a real-world conversational AI system to search for and book hotels through text messaging. Our architecture consists of a frame-based dialogue management system, which calls machine learning models for intent classification, named entity recognition, and information retrieval subtasks. Our chatbot has been deployed on a commercial scale, handling tens of thousands of hotel searches every day. We describe the various opportunities and challenges of developing a chatbot in the travel industry.
Keywords
Cite
@article{arxiv.1908.10001,
title = {Real-world Conversational AI for Hotel Bookings},
author = {Bai Li and Nanyi Jiang and Joey Sham and Henry Shi and Hussein Fazal},
journal= {arXiv preprint arXiv:1908.10001},
year = {2019}
}
Comments
Accepted to IEEE AI4I 2019 (International Conference on Artificial Intelligence for Industries)