@inproceedings{708e07ab5f634e3686cb1faa5aea40f7,
title = "A Chat-based personal recommendation mechanism with opinion intelligence",
abstract = "With the rapid development of the Internet and mobile devices, users around the world have accumulated a large amount of comment data on the Internet. Nowadays, users tend to search for information on the Internet before making purchase decisions. How to provide personalized services while avoiding information overload has gradually become an important issue. This study proposes a dialogue-based personalized recommendation mechanism with opinion intelligence. In addition to understanding user preferences through dialogue and interaction with users, we further analyze the content of reviews and the social influence of review authors to better help users. The results show that the dialogue mechanism proposed in this study has a good recommendation effect and can effectively improve user experience.",
keywords = "Conversational User Interface, Opinion-based Recommender System, Personalized, Social Influence",
author = "Li, {Yung Ming} and Hsieh, {Chin Yu} and Hsu, {Cheng Chi}",
note = "Publisher Copyright: {\textcopyright} 2023 29th Annual Americas Conference on Information Systems, AMCIS 2023. All rights reserved.; 29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023 ; Conference date: 10-08-2023 Through 12-08-2023",
year = "2023",
language = "English",
series = "29th Annual Americas Conference on Information Systems, AMCIS 2023",
publisher = "Association for Information Systems",
booktitle = "29th Annual Americas Conference on Information Systems, AMCIS 2023",
address = "United States",
}