Prediction of customer engagement behaviour response to marketing posts based on machine learning-Reference-Cited by-同舟云学术

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Prediction of customer engagement behaviour response to marketing posts based on machine learning

Published:2021-04-16 Issue:4 Volume:33 Page:891-910
ISSN:0954-0091
Container-title:Connection Science
language:en
Short-container-title:Connection Science

Author:

Dai Yonghui¹,Wang Tao²

Affiliation:

1. Management School, Shanghai University of International Business and Economics, Shanghai, People’s Republic of China

2. School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai, People’s Republic of China

Funder

Major Project of Philosophy and Social Science Research, Ministry of Education of China

Publisher

Informa UK Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/09540091.2021.1912710

Reference85 articles.

1. Electronic word of mouth in social media: the common characteristics of retweeted and favourited marketer-generated content posted on Twitter

2. Pathways to Virality: Psychophysiological Responses Preceding Likes,Shares, Comments, and Status Updates on Facebook

3. Redefining virality in less broad strokes: Predicting viral behavioral intentions from motivations and uses of Facebook and Twitter

4. Post popularity and reactions in retail brand pages on Facebook

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