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Product Diffusion Research Based on Symbolic Regression

  • Weihua Cui
  • Xianneng Li
  • Guangfei YangEmail author
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 660)

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.

Keywords

On-line products Diffusion Symbolic regression Seasonality Bass model 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China (71671024, 71421001, 71601028), the Fundamental Research Funds for the Central Universities (DUT15RC(3)076), Humanity and Social Science Foundation of Ministry of Education of China (15YJCZH198) and Economic and Social Development Foundation of Liaoning (2016lslktzizzx-01).

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Copyright information

© Springer Nature Singapore Pte Ltd. 2016

Authors and Affiliations

  1. 1.Department of Management and EconomicsDalian University of TechnologyLiaoningChina

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