EmailTracker:利用人工智能和大数据协助电子邮件事件跟踪的智能分析系统

Joyce Zheng, Yu Sun
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引用次数: 0

摘要

最近的研究表明,对协助社交媒体应用的软件的需求不断增加,例如Gmail[1][2]。本文开发了一个软件,利用像素图像,以协助Gmail用户与他们的电子邮件状态[3]。这种智能分析系统可以用来判断电子邮件是否被打开过。在对该方法进行定性评估后,结果提供了系统可用性和系统提供准确结果和数据的可靠性的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EmailTracker: An Intelligent Analytical System to Assist Email Event Tracking using Artificial Intelligence and Big Data
Recent studies have shown an increasing demand for software that assists in social media applications, such as Gmail [1] [2]. This paper develops a software that utilizes a pixel image in order to assist Gmail users with the status of their email [3]. This intelligent analytical system can be used to tell whether an email has been opened or not. After conducting a qualitative evaluation of this approach, the results provided evidence of the system’s usability and the reliability of the system to give accurate results and data.
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