讲座题目：Context-based dynamic pricing with online clustering
主 拿 人口：晏鹏宇副教授
We consider a context-based dynamic pricing problem of online products with low sales, which have insufficient data samples. To address this challenge, we propose pricing policies that concurrently perform clustering over products and set individual pricing decisions on the fly. We evaluate the algorithms using the regret, and the result shows that when product demand functions come from multiple clusters, our algorithms significantly outperform traditional single-product pricing policies. Our algorithms were implemented in a field study at Alibaba with 40 products for 30 consecutive days with an overall revenue increase of 10.14%.
缪森涛博士在Jacobs University Bremen, Germany,取得数学本科学位，在密歇根大学安娜堡分校攻读博士学位，学方向呢：Online learning algorithm; Learning theory; Stochastic optimization; Game theory; High-dimensional computing，研究应用于Supply chain management: revenue management, assortment optimization, inventory control; Electricity market analysis; Energy policies相当领域。