Examining multi-category cross purchases models with increasing dataset scale – An artificial neural network approach

作者：

Highlights：

• Artificial Neural Network has advantages in multi-category purchase modeling.

• Demonstrated knowledge plugging- in Artificial Neural Network structure.

• Demonstrated extracting knowledge from Artificial Neural Network outcome.

• Knowledge plugging-in and extracting are promising future research.

摘要

•Artificial Neural Network has advantages in multi-category purchase modeling.•Demonstrated knowledge plugging- in Artificial Neural Network structure.•Demonstrated extracting knowledge from Artificial Neural Network outcome.•Knowledge plugging-in and extracting are promising future research.

论文关键词：Big data,Cross category,Artificial neural network,Prior knowledge,Generalized weight

论文评审过程：Received 14 May 2018, Revised 30 September 2018, Accepted 27 November 2018, Available online 28 November 2018, Version of Record 4 December 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.11.038