从数百万Android用户中挖掘行为模式
Mining Behavioral Patterns from Millions of Android Users
摘要：
智能移动设备的普及促进了移动应用程序（又称移动应用程序）的普及。应用程序）。支持可移动性已成为软件工程研究的一个重要方向。本文介绍了一项实证研究，收集了数百万用户的行为服务配置文件，这些用户的设备部署了中国领先的Android应用商店服务豌豆家。豌豆家服务配置文件的数据集由两种用户行为数据组成，这些数据来自使用28万个免费Android应用程序，包括（1）应用程序管理活动（即，下载、更新和卸载应用程序），以及（2）来自超过600万独立用户的应用程序网络使用。我们探索了这些行为数据的多个方面，并呈现了应用程序使用的模式。根据研究结果以及衍生知识，我们还提出了一些新的开放机会和挑战，可以由研究界探索，包括应用程序开发，部署，交付，收入等。
英文摘要：
The prevalence of smart mobile devices has promoted the popularity of mobile applications (a.k.a. apps). Supporting mobility has become a promising trend in software engineering research. This article presents an empirical study of behavioral service profiles collected from millions of users whose devices are deployed with Wandoujia, a leading Android app store service in China. The dataset of Wandoujia service profiles consists of two kinds of user behavioral data from using 0.28 million free Android apps, including (1) app management activities (i.e., downloading, updating, and uninstalling apps) from over 17 million unique users and (2) app network usage from over 6 million unique users. We explore multiple aspects of such behavioral data and present patterns of app usage. Based on the findings as well as derived knowledge, we also suggest some new open opportunities and challenges that can be explored by the research community, including app development, deployment, delivery, revenue, etc.
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。
