Trust Evaluation on Social Media based on Different Similarity Metrics

A. Maurya, M. Singh
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引用次数: 1

Abstract

With advancement in internet era, the importance of social media is increasing day by day. It enables users to share their profile data, ideas, videos and any content they have with them. With benefits, it also has several issues related to it. One of the issue is “how to protect users from after effect of friendship over social media?”. This paper proposes a trust model to overcome it. The proposed model calculates trust to assist end users to take decision about accepting friend-request on social media. Trust evaluation is based upon profile similarity analysis. Trust computation uses preferred attribute among profile attributes to evaluate trust of users. The paper analyzes different trust evaluation methods based on the proposed model.
基于不同相似性度量的社交媒体信任评价
随着互联网时代的发展,社交媒体的重要性与日俱增。它允许用户分享他们的个人资料数据、想法、视频和他们拥有的任何内容。有了好处,它也有一些相关的问题。其中一个问题是“如何保护用户免受社交媒体上友谊的后遗症?”本文提出了一种克服这一问题的信任模型。该模型通过计算信任来帮助最终用户决定是否接受社交媒体上的好友请求。信任评价基于档案相似度分析。信任计算使用配置文件属性中的首选属性来评估用户的信任程度。基于该模型分析了不同的信任评估方法。
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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