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Product Diffusion Research Based on Symbolic Regression

Release Time:2019-03-10  Hits:

Indexed by: Conference Paper

Date of Publication: 2016-11-04

Included Journals: CPCI-S、EI

Volume: 660

Page Number: 115-129

Key Words: On-line products; Diffusion; Symbolic regression; Seasonality; Bass model

Abstract: 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.

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