检测评论垃圾邮件:挑战和机遇

8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom) Pub Date : 2012-12-14 DOI:10.4108/ICST.COLLABORATECOM.2012.250640

Yingying Ma, Fengjun Li

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引用次数: 12

摘要

网上顾客对商品或商家的评价极大地影响了其他人的购买决策。考虑到评论的易访问性和对零售商的重大影响，操纵评论的动机越来越大，主要是为了盈利。如果没有适当的保护，垃圾评论会逐渐丧失评论的可信度，最终会破坏整个在线评论系统。因此，垃圾评论检测被认为是确保在线评论系统安全的第一步。在本文中，我们旨在以系统的方式概述现有的检测方法，定义关键研究问题，并阐明审查垃圾邮件检测的未来研究挑战和机遇。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Detecting review spam: Challenges and opportunities

Online customer reviews for both products or merchants have greatly affected others' decision making in purchase. Considering the easily accessibility of the reviews and the significant impacts to the retailers, there is an increasing incentive to manipulate the reviews, mostly profit-driven. Without proper protection, spam reviews will cause gradual loss of credibility of the reviews and corrupt the entire online review systems eventually. Therefore, review spam detection is considered as the first step towards securing the online review systems. In this paper, we aim to overview existing detection approaches in a systematic way, define key research issues, and articulate future research challenges and opportunities for review spam detection.

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8th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom)

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