Influence prediction model for marketing campaigns on e-commerce platforms

作者：

Highlights：

• A unified method of representation for multi-tagged users is proposed.

• The potential driving relationship between user nodes can be explored based on reducing the size of the network.

• A model for predicting marketing campaign influence trends by correlating influence contexts is proposed.

摘要

•A unified method of representation for multi-tagged users is proposed.•The potential driving relationship between user nodes can be explored based on reducing the size of the network.•A model for predicting marketing campaign influence trends by correlating influence contexts is proposed.

论文关键词：E-commerce service,Key information,Recurrent neural network,Marketing campaign influence

论文评审过程：Received 10 April 2022, Revised 10 August 2022, Accepted 13 August 2022, Available online 27 August 2022, Version of Record 30 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118575