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Towards a highly effective and robust Web credibility evaluation system

机译:迈向高效,健壮的Web信誉评估系统

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By leveraging crowdsourcing, Web credibility evaluation systems (WCESs) have become a promising tool to assess the credibility of Web content, e.g., Web pages. However, existing systems adopt a passive Way to collect users' credibility ratings, which incurs two crucial challenges: (1) a considerable fraction of Web content have few or even no ratings, so the coverage (or effectiveness) of the system is low; (2) malicious users may submit fake ratings to damage the reliability of the system. In o
机译:通过利用众包,Web信誉评估系统(WCES)已成为评估Web内容(例如,网页)的信誉的有前途的工具。但是,现有系统采用被动方式来收集用户的信誉等级,这带来了两个关键挑战:(1)相当一部分Web内容很少甚至没有等级,因此系统的覆盖率(或有效性)低; (2)恶意用户可能会提交虚假评级,以破坏系统的可靠性。在o

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