面向服务环境下的用户信誉计算

J. PaulRajasingh, Sharmishtha Sen Ms., Shreyes Prasad
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引用次数: 0

摘要

所有基于云的应用程序都在面向服务的体系结构上工作,并与来自其他服务的多个组件协作,以执行离散的应用程序逻辑。在这个环境中有很多Web服务方便客户制作系统。因为同一个web服务的潜力会随着用户的需求而变化。一般来说,用户将严重依赖工具来帮助他们在互联网上的活动,反之亦然,服务提供商也依赖于用户的配置文件和系统中正在使用的服务。用户声誉模型为服务提供者提供了一个解决方案,以支持他们基于用户概要文件的服务决策。该模型将使用评级作为数据,并产生个性化评分。我们在标签和流行度估计的基础上提出了一种新的累积分离方法,并展示了其增强的过滤能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
User Reputation Calculation for Service-Oriented Environments
All the cloud based applications work on serviceoriented architectures and collaborate with multiple components from other services to execute discreet application logic. In this environment there are a lot of Web services facilitated to the customer to make the systems. As the potential of the same Web service will change with respect to users' needs. On an average a user will be heavily relied on tools to aid their activities on the internet vice versa the Service provider are also dependent on the users profile and what services are being used in the system. A User Reputation model offers a solution to the Service providers in supporting their service decision based on the User Profile. This model takes usage ratings as data and produces a personalised score. We suggest a new Cumulative separation on the basis of Tags and popularity estimation method and showcase its enhanced filtration ability.
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