Title
Popularity prediction for marketer-generated content: A text-guided attention neural network for multi-modal feature fusion
Abstract
•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.
Year
DOI
Venue
2022
10.1016/j.ipm.2022.102984
Information Processing & Management
Keywords
DocType
Volume
Popularity prediction,Marketer-generated content,Text-guided attention neural network,Multi-modal data
Journal
59
Issue
ISSN
Citations 
4
0306-4573
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Yang Qian100.68
Wang Xu200.34
Xiao Liu399284.21
Haifeng Ling410.79
Yuanchun Jiang518421.24
Yidong Chai600.34
Yezheng Liu714524.69