电子邮件信息的生命周期:电子邮件访问的大规模分析

Tarfah Alrashed, Ahmed Hassan Awadallah, S. Dumais
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引用次数: 19

摘要

电子邮件仍然是最重要的在线交流方式之一,导致了许多与信息过载和电子邮件管理相关的挑战。为了更好地详细理解电子邮件管理实践,我们检查了访问电子邮件的时间分布。在其生命周期中,电子邮件可能被访问一次或多次,并且每次访问可能采取不同的操作。随着时间的推移重新访问的电子邮件特别有趣,因为它们代表了改进电子邮件管理和搜索的机会。在本文中,我们对电子邮件重访进行了大规模的日志分析,人们对重访的电子邮件消息执行的活动(例如,响应,组织或删除消息,打开附件),以及他们使用的策略来返回这些电子邮件。我们发现大多数电子邮件的生命周期很短,超过33%的电子邮件的生命周期不到5分钟。我们还发现,对于访问过一次的消息,删除是最常见的操作,而对于多次访问的消息,响应和组织更为常见。我们通过一项调查来补充日志分析,以了解重新访问背后的动机和重新访问的电子邮件类型。调查结果显示,73%的访问是为了查找信息(例如链接或文档、执行任务的说明或问题的答案),而20%的访问是为了回复电子邮件。我们的发现对设计支持短期和长期访问模式的电子邮件客户端和智能代理具有启示意义。
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The Lifetime of Email Messages: A Large-Scale Analysis of Email Revisitation
Email continues to be one of the most important means of online communication, leading to a number of challenges related to information overload and email management. To better understand email management practices in detail, we examine the distribution of visits to emails over time. During their lifetime, emails may be visited one or more times, and with each visit different actions may be taken. Emails that are revisited over time are especially interesting because they represent an opportunity to improve email management and search. In this paper, we present a large-scale log analysis of email revisitation, the activities that people perform on revisited email messages (e.g. responding to, organizing or deleting messages, and opening attachments), and the strategies they use to go back to these emails. We find that most emails have a short lifetime, with more than 33% having a lifetime of less than 5 minutes. We also find that deleting is the most common action taken on messages visited once, and that responding and organizing are more common for messages visited more than once. We complement the log analysis with a survey to understand the motivation behind revisits and the types of emails that are revisited. The survey results show that 73% of the visits are to find information (e.g. a link or document, instructions to perform a task, or answers to questions), while 20% of revisits are to respond to the email. Our findings have implications for designing email clients and intelligent agents that support both short- and long-term revisitation patterns.
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