讲座:Business Performance Prediction in Location-Based Social Commerce

发布者:金融学系     时间:2019-12-10

讲座题目:基于社会化商务平台的企业经济效益预测

Business Performance Prediction in Location-Based Social Commerce

主讲人:Xiaohui Chang, Oregon State University

讲座时间:2019年12月15日(周日)10:00-11:30

讲座地点:商学院大楼205室

邀请部门:金融学系、金融工程研究所


讲座概要:

Social commerce and location-based services provide a data platform for coexisting and competing businesses in geographical neighborhoods. Our research is aimed at mining data from such platforms to gain valuable insights for better support for strategic and operational business decisions. We develop a computational framework for predicting business performance that takes into account both intrinsic (e.g., attributes) and extrinsic (e.g., competitions) factors. Our experiments on synthetic and real datasets demonstrated the superiority of a hybrid prediction model that adopts both link-based and context-based assumptions.


报告人概况:

Xiaohui Chang is an Assistant Professor of Business Analytics at the College of Business, Oregon State University. She holds a Ph.D. in Statistics from the University of Chicago and earned B.A. (Honors) in Statistics and B.A. in Economics from the University of Chicago. Her research interests include machine learning, spatial statistics, location-based services, mHealth, and business performance prediction. Her works have been published in Quantitative Finance, IEEE Transactions, Biometrics, and Computation Statistics and Data Analysis. 

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