报告题目：Recommendation System Design for Digital Content Platforms（数字内容平台的推荐系统设计）

报告人：伏啸（复旦大学）

报告时间：2024年11月27日（星期三）下午13:00-14:15

报告地点：英国正版365官方网站大楼318

邀请部门：经济学系

报告人简介：

伏啸，复旦大学管理学院应用经济学系助理教授，南加州大学经济学博士。研究方向为产业经济学和数字经济。研究论文发表于International Journal of Industrial Organization、Review of Industrial Organization、Economics Letters、Managerial and Decision Economics、《管理科学学报》等期刊，主持国家社会科学基金一般项目、上海市决策咨询研究等课题。

报告摘要：

Digital content platforms implement a variety of recommendation policies to balance the interests of creators and viewers. In this study, we develop a game-theoretic model to examine the determination and impact of recommendation policies within a representative platform. We show that as the creator exerts more effort in content creation, the platform recommends the content to a larger number of viewers. However, the equilibrium level of effort exerted by the creator typically differs from the optimal level of effort for the platform. We identify the conditions under which the creator's effort is either supra-optimal or sub-optimal from the platform's perspective, and the platform's policy remedies are studied.