Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion

作者：

Highlights：

• The popularity of marketer-generated content is predicted.

• A text-guided attention neural network model is proposed.

• Topic feature and image feature are explored in the proposed model.

• Performance of our model is tested by experiments on two real-world datasets.

摘要

•The popularity of marketer-generated content is predicted.•A text-guided attention neural network model is proposed.•Topic feature and image feature are explored in the proposed model.•Performance of our model is tested by experiments on two real-world datasets.

论文关键词：Popularity prediction,Marketer-generated content,Text-guided attention neural network,Multi-modal data

论文评审过程：Received 30 October 2021, Revised 13 April 2022, Accepted 16 May 2022, Available online 23 May 2022, Version of Record 23 May 2022.

论文官网地址：https://doi.org/10.1016/j.ipm.2022.102984