旧版入口
学院动态
学术交流
2022年6月2日陈彩华 教授线上学术报告
上传时间:2022-06-07 作者: 浏览次数:145


报告题目:Product demand estimation for vending machines using video surveillance data: A group-lasso method
报告人:陈彩华 教授
报告摘要:Lost sales information has significant impacts on the estimation of product demand and substitution. However, the difficulties to recognize such information in real applications make it rarely used in research. In this paper, we come up with a novel group-lasso based product demand model using the lost sales information, which is extracted from the video surveillance data provided by the cooperate retailer. A group-lasso method is used to characterize the substitution behaviors among each pair of SKUs. Then, an alternating minimization algorithm whose efficiency and convergence have been proved is designed to solve the model. To evaluate the model, we provide comparative experiments between the proposed method, time series forecasting and a naive method by applying these models to a real data set. The experiment results show that the proposed model obtains 8% higher accuracy at the total sales level and forecasts more accurately at the SKU sales level as well, which demonstrate its superiority.  

报告人简介:陈彩华,南京大学理学博士,新加坡国立大学联合培养博士,曾赴新加坡国立大学、香港中文大学等学习与访问。主持/完成的基金包括国家自然科学基金青年项目、面上项目和优秀青年项目等,参与国家自然科学基金重点项目,代表作发表在《Mathematical Programming》,《SIAM Journal on Optimization》及CVPR、NeruIPS等国际知名学术期刊与会议, 多篇论文入选ESI高被引论文。获华人数学家联盟最佳论文奖(2017、2018连续两年),中国运筹学会青年科技奖(2018),南京大学青年五四奖章(2019),入选首批南京大学仲英青年学者(2018)及江苏省社科优青(2019)。
报告时间:2022年06月2日,周四,下午15:00--16:30
报告地点:腾讯会议 593 2441 4930

Copyright © 2014 杭州电子科技大学 版权所有