Nurture: Notifying Users at the Right Time Using Reinforcement Learning
Nurture: Notifying Users at the Right Time Using Reinforcement Learning
复制标题
培育：使用强化学习在正确的时间通知用户
DOI：
10.1145/3267305.3274107
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Srivastava, Mani
中科院分区：
文献类型：
--
作者：
Ho, Bo-Jhang;Balaji, Bharathan;Koseoglu, Mehmet;Srivastava, Mani
用户交互是智能手机和腕带等许多移动的设备的重要组成部分。只有通过与用户交互，这些设备才能提供服务、启用正确的配置并了解用户偏好。推送通知是现代设备中吸引用户注意力的主要方法。然而，如果这些通知在不适当的时间提示用户，它们可能会无效，甚至令人恼火。大量针对有限用户注意力的应用程序加剧了这种不满。我们提出了一种基于强化学习的个性化技术，称为Nurture，它可以自动识别针对给定用户上下文发送通知的适当时间。通过与众包平台Amazon Mechanical Turk的模拟，我们证明了我们的方法成功地学习了用户偏好，并显着提高了通知响应率。
User interaction is an essential part of many mobile devices such as smartphones and wrist bands. Only by interacting with the user can these devices deliver services, enable proper configurations, and learn user preferences. Push notifications are the primary method used to attract user attention in modern devices. However, these notifications can be ineffective and even irritating if they prompt the user at an inappropriate time. The discontent is exacerbated by the large number of applications that target limited user attention. We propose a reinforcement learning-based personalization technique, called Nurture, which automatically identifies the appropriate time to send notifications for a given user context. Through simulations with the crowd-sourcing platform Amazon Mechanical Turk, we show that our approach successfully learns user preferences and significantly improves the rate of notification responses.
DOI：
10.1145/2699343.2699362
发表时间：
2015
期刊：
Proceedings of the 16th International Workshop on Mobile Computing Systems and Applications
影响因子：
--
作者：
Kyungmin Lee;J. Flinn;Brian D. Noble
通讯作者：
Brian D. Noble
Thyme：通过活动意识改善智能手机提示时间
DOI：
10.1109/icmla.2017.0-141
发表时间：
2017
期刊：
2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)
影响因子：
--
作者：
S. Aminikhanghahi;Ramin Fallahzadeh;M. Sawyer;D. Cook;L. Holder
通讯作者：
L. Holder