第537期岭南学术论坛（管理学系列Seminar）

报告题目：Dynamic Assortment Planning Based on Ranking Choice Models

报  告 人：李彦志（香港城市大学  教授）

主  持 人：傅科（中山大学岭南学院   教授）

时      间： 2019年6月14日（周五）下午2:30-4:00

地      点： MBA楼801

语      言：中文+英文

摘要：

We propose an online assortment planning framework that learns consumer behavior over time and optimizes assortment recommendation dynamically. Consumer behavior is modelled with a ranking based choice model. The framework is featured with simultaneous learning of consumer behavior and assortment optimization and is capable of producing high-quality assortments with limited trials. Theoretically, in addition to establishing the regret bound, we show that our algorithm converges to the optimal assortment with high probability. Experiments with synthetic data and real implementation at TMall demonstrate that the framework is very effective in discovering optimal assortments and improving revenue.

报告人简介：

Yanzhi Li (David) is an Associate Professor of Management Science and Marketing at College of Business, City University of Hong Kong. He received his BSc in Computer Science from Tsinghua University and PhD degree in Industrial Engineering and Logistics Management from Hong Kong University of Science and Technology. His research interests include: (1) Interface research between Operations and Marketing, such as assortment planning, channel management, and advertising. 2) Solving practice-triggered challenging problems with analytics and optimization and developing actionable plans and systems. Yanzhi has provided consulting services to firms in Hong Kong and mainland China, and is currently working on data-driven projects spanning logistics, retailing, e-commerce and health care operations. His papers have appeared in Marketing Science, M&SOM, POM, and some other journals.

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        中山大学岭南学术论坛分经济、金融和管理三个系列，是定期邀请国内外优秀学者前来开展学术交流的平台。每系列每个月定期举办2-3次。目前已经成功举办多期，并得到了各界的高度评价。