0


基于活动的通知的近乎实时优化

Near Real‑time Optimization of Activity‑based Notifications
课程网址: http://videolectures.net/kdd2018_gao_activity_based_notifications...  
主讲教师: Yan Gao
开课单位: 领英公司
开课时间: 2018-11-23
课程语种: 英语
中文简介:
近年来,社交媒体应用程序(如Facebook、LinkedIn)创建了移动应用程序(应用程序),为其成员提供随时随地的即时访问。为了让会员随时了解情况并推动及时参与,这些移动应用程序会发送事件通知。然而,为每一个可能的事件发送通知都会导致通知过多,这反过来会惹恼会员,并造成糟糕的会员体验。 在本文中,我们提出了优化通知的策略,通过使用约束优化来制定问题,以平衡各种效用(例如,参与度、发送量)。为了保证通知的新鲜度,我们在流计算系统中实现了该解决方案,在该系统中,我们几乎实时地做出多通道发送决策。通过在线A/B测试结果,我们在数千万会员中展示了我们提出的方法的有效性。
课程简介: In recent years, social media applications (e.g., Facebook, LinkedIn) have created mobile applications (apps) to give their members instant and real-time access from anywhere. To keep members informed and drive timely engagement, these mobile apps send event notifications. However, sending notifications for every possible event would result in too many notifications which would in turn annoy members and create a poor member experience. In this paper, we present our strategy of optimizing notifications to balance various utilities (e.g., engagement, send volume) by formulating the problem using constrained optimization. To guarantee freshness of notifications, we implement the solution in a stream computing system in which we make multi-channel send decisions in near real-time. Through online A/B test results, we show the effectiveness of our proposed approach on tens of millions of members.
关 键 词: 基于活动的通知; 近乎实时优化; 社交媒体应用程序; 流计算系统; 移动应用程序
课程来源: 视频讲座网
数据采集: 2023-03-23:cyh
最后编审: 2023-03-23:cyh
阅读次数: 24