@inproceedings{7fde5697bfc4447f8d6a8a0a5047d243,
title = "Deep Neural Network-based Question Answering System for Customer Relationship Management",
abstract = "Customer Relationship Management (CRM) is a crucial component of business management, while a question answering system can help users seek answers and advice efficiently. In this study, we develop a deep learning-based question answering system that can be integrated into CRM. We collected 10,443 questions and answers on TripAdvisor from 44 U.K. hotels and used natural language understanding and generation techniques to develop an intent-based question response model. Our proposed method outperforms baseline comparisons by achieving an F1-score of 87.34\% in intent detection tasks and above-average performance in response generation through a survey study with 63 responses.",
keywords = "Comment Response, Customer Relationship Management, Deep Learning, Natural Language Processing, Question Answering",
author = "Chien-Hung Chen and Yung-Chun Chang and Ku, \{Chih Hao\}",
year = "2022",
month = jan,
day = "1",
language = "English",
isbn = "9781958200018",
volume = "62",
series = "Pacific Asia Conference on Information Systems",
publisher = "Association for Information Systems",
booktitle = "Pacific Asia Conference on Information Systems",
note = "26th Pacific Asia Conference on Information Systems, PACIS 2022 ; Conference date: 05-07-2022 Through 09-07-2022",
}