A Chat-based personal recommendation mechanism with opinion intelligence

Yung Ming Li, Chin Yu Hsieh, Cheng Chi Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication29th Annual Americas Conference on Information Systems, AMCIS 2023
PublisherAssociation for Information Systems
ISBN (Electronic)9781713893592
StatePublished - 2023
Event29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023 - Panama City, Panama
Duration: 10 Aug 202312 Aug 2023

Publication series

Name29th Annual Americas Conference on Information Systems, AMCIS 2023

Conference

Conference29th Annual Americas Conference on Information Systems: Diving into Uncharted Waters, AMCIS 2023
Country/TerritoryPanama
CityPanama City
Period10/08/2312/08/23

Keywords

  • Conversational User Interface
  • Opinion-based Recommender System
  • Personalized
  • Social Influence

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