Beyond persuasion : towards conversational recommender system with credible explanations

• Main Authors: QIN, Peixin, HUANG, Chen, DENG, Yang, LEI, Wenqiang, CHUA, Tat-Seng
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2024
• 主題: Conversational recommender system; CRS; Persuasion strategies; Persuasion explanations; Artificial Intelligence and Robotics; Computer Sciences
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/9616; https://ink.library.smu.edu.sg/context/sis_research/article/10616/viewcontent/2409.14399v2.pdf
• 機構: Singapore Management University

With the aid of large language models, current conversational recommender system (CRS) has gaining strong abilities to persuade users to accept recommended items. While these CRSs are highly persuasive, they can mislead users by incorporating incredible information in their explanations, ultimately...