報告主題👨🏼‍🎨⚉：When to Play Your Advertisement? Optimal Insertion Policy of Behavioral Advertisement

報告時間：12月07日（周一）下午13:30

報告地點👨🏽‍🚒：騰訊會議，會議 ID：595 380 117

報告人：譚寅亮 博士

報告人簡介：

譚寅亮是美國杜蘭大學弗裏曼商沐鸣2管理科學方向助理教授，戈德林國際教育中心行政主任。譚寅亮博士畢業於美國佛羅裏達大學，學習運營管理及信息系統🦹🏿。他擁有豐富的商業分析方面的教學經驗🤵🏻，獲得過弗裏曼商沐鸣2最佳教師獎。其研究興趣主要集中在科技管理與創新，電子產品定價🤹🏽，以及人工智能領域。他在國際頂級期刊Management Science, MIS Quarterly, Information Systems Research, Production and Operations Management多次發表論文。現在擔任Production and Operations Management資深編輯以及Decision Science的副編輯。他於2019年被評為世界最佳40名40歲以下的商沐鸣2教授。

報告簡介✋：

Digital advertisements offer a full spectrum of behavioral customization for timing and content capabilities. The existing research in display advertising has predominantly concentrated on the content of advertising; however, our focus is on optimizing the timing of display advertising. In practice, users are constantly adjusting their engagement with content as they process new information continuously. The recent development of emotional tracking and wearable technologies allows platforms to monitor the user’s engagement in real time. We model the user’s continuous engagement process through a Brownian motion. The proposed optimal policy regarding the timing of behavioral advertising is based on a threshold policy with a trigger threshold and target level. Our results reveal that for a wide range of settings, the proposed policy not only significantly increases the platform’s profitability, but also improves the completion rate at which consumers finish viewing the advertisement.