COSMOS一种基于多因素分析的智能手机动态配置上下文相关模型
COSMOS A Context Sensitive Model For Dynamic Configuration Of Smartphones Using Multifactor Analysis
摘要：
随着多产增长的使用智能手机在整个频谱的人在社会中，它成为强制性的处理和配置这些设备有效地实现最佳的结果从it.This本文提出了一个上下文敏感的模型称为COSMOS（COontext敏感模型智能手机）配置的智能手机使用多因素分析的帮助下，决策树。本文提出的COSMOS模型有助于根据用户的当前上下文隐式地配置各种智能手机设置，而不会中断用户的各种输入。COSMOS模型还提出了多个上下文参数，如位置，调度数据，最近的通话记录设置等，以决定智能手机的适当设置。通过在Android平台上的原型实现，验证了该模型的有效性。在实现中进行了各种测试，90.95%的设置相关性度量值证实了所提出的模型的效率。
英文摘要：
With the prolific growth in usage of smartphones across the spectrum of people in the society it becomes mandatory to handle and configure these devices effectively to achieve optimum results from it. This paper proposes a context sensitive model termed COSMOS (COntext Sensitive MOdel for Smartphones) for configuring the smartphones using multifactor analysis with the help of decision trees. The COSMOS model proposed in this paper facilitates the configuration of various smartphone settings implicitly based on the user's current context, without interrupting the user for various inputs. The COSMOS model also proposes multiple context parameters like location, scheduler data, recent call log settings etc to decide the appropriate settings for the smartphones. The proposed model is validated by a prototype implementation in the Android platform. Various tests were conducted in the implementation and the settings relevancy metric value of 90.95% confirms the efficiency of the proposed model.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
