杨光飞

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博士生导师

硕士生导师

性别:男

毕业院校:早稻田大学

学位:博士

学科:管理科学与工程

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Product Diffusion Research Based on Symbolic Regression

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论文类型:会议论文

发表时间:2016-11-04

收录刊物:CPCI-S、EI

卷号:660

页面范围:115-129

关键字:On-line products; Diffusion; Symbolic regression; Seasonality; Bass model

摘要:With the popularity of on-line shopping increasing, on-line products diffusion becomes the growth of importance for marketing decision. Bass diffusion theory is a classical method of forecasting products sales. In this paper, we introduce symbolic regression method to describe the trend of on-line products diffusion and verify whether Bass model in on-line condition performs good as before. Almost all products exhibit seasonality in their sales pattern. Considering the particularity of on-line shopping, we define monthly, weekly and daily period as the division of on-line season. The models perform differently when frequency of data varies.