Who Can We Trust: A New Approach for Fraudulent Rater Detection in Reputation Systems-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Who Can We Trust: A New Approach for Fraudulent Rater Detection in Reputation Systems

Published:2020-01-20 Issue:1 Volume:51 Page:148-180
ISSN:0011-7315
Container-title:Decision Sciences
language:en
Short-container-title:Decision Sciences

Author:

Cai Yuanfeng¹^ORCID,Zhu Dan²

Affiliation:

1. Zicklin School of BusinessBaruch College City University of New York V 11–220, 55 Lexington Ave. New York NY 10010

2. College of BusinessIowa State University 2340 Gerdin Business Building Ames IA 50010

Funder

Professional Staff Congress and The City University of New York Research Award

Publisher

Wiley

Subject

Management of Technology and Innovation,Information Systems and Management,Strategy and Management,General Business, Management and Accounting

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/deci.12427

Reference47 articles.

1. MetaFraud: A Meta-Learning Framework for Detecting Financial Fraud

2. Evidence of the Effect of Trust Building Technology in Electronic Markets: Price Premiums and Buyer Behavior

3. How Effective Are Electronic Reputation Mechanisms? An Experimental Investigation

4. Interpersonal Deception Theory

5. Trustworthy and profit: A new value-based neighbor selection method in recommender systems under shilling attacks

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. USDSE: A Novel Method to Improve Service Reputation Based on Double-Side Evaluation;Machine Learning for Cyber Security;2023

2. A Study of Health Insurance Fraud in China and Recommendations for Fraud Detection and Prevention;Journal of Organizational and End User Computing;2022-04-22

3. An Interactive System for Unfair Rating Detection Models in a Customized Perspective;2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2021-10

4. Trust Model for Online Reviews of Tourism Services and Evaluation of Destinations;Administrative Sciences;2021-03-24

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3