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Trust computation for multiple routes recommendation in social network sites

机译:社交网站中多路线推荐的信任计算

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摘要

Nowadays, social network site (SNS) has been a popular platform for information sharing and dissemination. However, because of unknown information sources or unfamiliar recommenders, users of SNS may receive thousands of recommending information, which contain potential risks to receivers. To meet the challenge of confirming reliabilities of recommendations, a novel method of recommended trust computation is proposed in this paper. Firstly, according to the elements of users' relationships and community characteristics in SNS, concepts of belief and reputation are defined to express subjective trustable relationship among individuals and objective trust view. Then, recommended trust computation is presented on the basis of aforementioned two concepts. The recommended trust computation is divided into two aspects, that is, recommended trust computation with different route composition and recommendation optional confidence. Further, a SNS recommended trust computation framework is proposed. Finally, examinations are given to further explain the efficiency and feasibility of our mechanism. Copyright (c) 2014 John Wiley & Sons, Ltd.
机译:如今,社交网站(SNS)已成为信息共享和传播的流行平台。但是,由于未知的信息来源或不熟悉的推荐者,SNS的用户可能会收到成千上万的推荐信息,其中包含对接收者的潜在风险。为了应对推荐可靠性的挑战,提出了一种推荐信任计算的新方法。首先,根据社交网络中用户关系和社区特征的要素,定义了信念和声誉的概念,以表达个人之间的主观信任关系和客观信任观。然后,基于上述两个概念提出了推荐信任计算。推荐信任计算分为两个方面,即具有不同路由组成的推荐信任计算和推荐可选置信度。此外,提出了一种SNS推荐的信任计算框架。最后,进行检查以进一步说明我们机制的效率和可行性。版权所有(c)2014 John Wiley&Sons,Ltd.

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