Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 1983-1988.
Abstract
It is indispensable for users to evaluate the trustworthiness of other users (referred to as advisors), to cope with possible misleading opinions provided by them. Advisors' misleading opinions may be induced by their dishonest, subjectivity difference with users, or both. Existing approaches do not well distinguish the two different causes. In this paper, we propose a novel probabilistic graphical trust model to separately consider these two factors, involving three types of latent variables: benevolence, integrity and competence of advisors, trust propensity of users, and subjectivity difference between users and advisors. Experimental results on real datasets demonstrate that our method advances state-of-the-art approaches to a large extent.
@inproceedings{ijcai2013p293,
title = {Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity},
author = {Fang, Hui and Bao, Yang and Zhang, Jie},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {1983--1988},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/293},
}
TY - CPAPER TI - Misleading Opinions Provided by Advisors: Dishonesty or Subjectivity AU - Fang, Hui AU - Bao, Yang AU - Zhang, Jie T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 1983 EP - 1988 UR - https://ijcai.org/proceedings/2013/293 ER -Copied
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