Paper Type
Complete
Description
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.
Paper Number
1259
Recommended Citation
Li, Yung-Ming; hsieh, chin yu; and Hsu, Cheng-Chi, "A Chat-based personal recommendation mechanism with opinion intelligence" (2023). AMCIS 2023 Proceedings. 4.
https://aisel.aisnet.org/amcis2023/social_comput/social_comput/4
A Chat-based personal recommendation mechanism with opinion intelligence
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.
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