用于衡量在线服务声誉的用户可信度评价

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Yahan Xiong, Xiaodong Fu
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引用次数: 0

摘要

目的用户往往很难在类似的在线服务中做出选择。为了帮助他们做出明智的决定,建立服务声誉衡量机制非常重要。用户提供的反馈评级是这一机制的主要信息来源,而确保用户反馈的可信度对可靠的声誉测量至关重要。以往的研究大多采用被动检测的方法来识别虚假反馈,而没有为诚实报告创造激励机制。因此,本研究旨在开发一种可激励用户诚实报告的在线服务声誉度量方法。设计/方法/途径在本文中,作者提出了一种使用同行预测机制来评估用户可信度的方法,该方法通过应用严格恰当的评分规则来评估用户报告的可信度。考虑到用户之间的异质性,作者测量了用户的相似性,将相似用户识别为同行来评估可信度,并使用基于用户可信度的改进期望最大化算法计算服务声誉。研究结果理论分析和实验结果验证了所提出的方法能够激励真实报告,有效识别恶意用户,并实现较高的服务评级准确率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User credibility evaluation for reputation measurement of online service
Purpose Users often struggle to select choosing among similar online services. To help them make informed decisions, it is important to establish a service reputation measurement mechanism. User-provided feedback ratings serve as a primary source of information for this mechanism, and ensuring the credibility of user feedback is crucial for a reliable reputation measurement. Most of the previous studies use passive detection to identify false feedback without creating incentives for honest reporting. Therefore, this study aims to develop a reputation measure for online services that can provide incentives for users to report honestly. Design/methodology/approach In this paper, the authors present a method that uses a peer prediction mechanism to evaluate user credibility, which evaluates users’ credibility with their reports by applying the strictly proper scoring rule. Considering the heterogeneity among users, the authors measure user similarity, identify similar users as peers to assess credibility and calculate service reputation using an improved expectation-maximization algorithm based on user credibility. Findings Theoretical analysis and experimental results verify that the proposed method motivates truthful reporting, effectively identifies malicious users and achieves high service rating accuracy. Originality/value The proposed method has significant practical value in evaluating the authenticity of user feedback and promoting honest reporting.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
期刊介绍: ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.
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