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A service model based on recommendation trust in pervasive computing environment

机译:基于推荐信任在普遍计算环境中的服务模型

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According to the characteristics of pervasive computing, a suitable service model based on recommendation trust for pervasive computing is presented in this paper. In this model, the concept of recommendation credibility, credibility of service content and indirect credibility are introduced to overcome the problem of pervasive computing in the choice of service provider blindly. Recommendation credibility can prevent the cheating behavior of collusive recommendation. Credibility of service content can evaluate service providers more objective and prevent the cheating behavior of service providers. Indirect credibility can evaluate the recommendation side more comprehensive because it is decided by recommendation credibility and recommendation similarity. The proposed model has the advantage of fitting for dynamic trust characteristics of pervasive computing, preventing the failure behavior of single point and choosing more suitable service provider for service applicants.
机译:根据普测性计算的特点,本文介绍了基于推荐计算的基于推荐信任的合适的服务模型。在该模型中,推出了推荐信誉,服务内容信誉和间接可信度的概念来克服盲目的服务提供商选择普遍计算问题。建议可信度可以防止契合建议的作弊行为。服务内容的可信度可以评估服务提供商更客观并防止服务提供商的作弊行为。间接可信度可以评估建议方更全面,因为它由推荐信誉和推荐相似度决定。所提出的模型具有拟合普及计算的动态信任特性的优点,防止单点的故障行为,为服务申请人选择更多合适的服务提供商。

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