Beyond persuasion : towards conversational recommender system with credible explanations
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...
محفوظ في:
المؤلفون الرئيسيون: | QIN, Peixin, HUANG, Chen, DENG, Yang, LEI, Wenqiang, CHUA, Tat-Seng |
---|---|
التنسيق: | text |
اللغة: | English |
منشور في: |
Institutional Knowledge at Singapore Management University
2024
|
الموضوعات: | |
الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/9616 https://ink.library.smu.edu.sg/context/sis_research/article/10616/viewcontent/2409.14399v2.pdf |
الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
مواد مشابهة
-
Making robots persuasive: The influence of combining persuasive strategies (gazing and gestures) by a storytelling robot on its persuasive power
بواسطة: Ham, J., وآخرون
منشور في: (2014) -
Mining product textual data for recommendation explanations
بواسطة: LE TRUNG HOANG,
منشور في: (2022) -
Teaching persuasive speaking
بواسطة: Rhein, Douglas Lee.
منشور في: (2014) -
Conversational Recommendation: Formulation, Methods, and Evaluation
بواسطة: Wenqiang Lei, وآخرون
منشور في: (2020) -
Affective and Cognitive Meta-Bases of Attitudes: Unique Effects on Information Interest and Persuasion
بواسطة: See, Y.H.M., وآخرون
منشور في: (2011)