International Journal of Computational Intelligence Systems

Volume 12, Issue 2, 2019, Pages 571 - 579

A Hybrid Swarm Intelligence Approach for Blog Success Prediction

Authors
Chi-I Hsu1, Shelly P. J. Wu2, Chaochang Chiu3, *
1Department of Information Management, Kainan University, 1, Kainan Road, Taoyuan, 33857, Taiwan
2Department of Electronic Commerce, Huaqiao University, 269 Chenghua North Rd., Quanzhou, Fujian, 362021, China
3Department of Information Management, Yuan Ze University, 135 Yuan-Tung Road, Chung-Li, 32003, Taiwan
*Corresponding author. Email: 101chiu@gmail.com
Corresponding Author
Chaochang Chiu
Received 15 June 2018, Accepted 28 March 2019, Available Online 29 April 2019.
DOI
10.2991/ijcis.d.190423.001How to use a DOI?
Keywords
Blog success model; Prediction mechanism; Particle swarm optimization; Self-organizing map
Abstract

Successful blogs receive high ratings and generate marketing value. What factors contribute to the success of a blog and how to predict its success level are questions worth discussing. A hybrid swam intelligence approach is proposed in this study to predict blog success level. First, this study develops a research model of blog success with six factors from content, technology, and social views of point, which include currentness, design, reliability, security, interaction, and connectivity. A questionnaire is designed based on the blog success model. Two hundred ten valid samples are collected from Internet users with experience in using or creating blogs. A hybrid approach combining particle swarm optimization (PSO) and self-organizing map (SOM) is proposed to predict blog success level. The results of 10-fold validation are examined to compare the hybrid PSO–SOM approach with the results from three classifiers: C5.0, classification and regression trees (CARTs), and support vector machine (SVM). For blog success prediction, the results indicate the PSO–SOM approach demonstrates higher accuracy among these methods.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 2
Pages
571 - 579
Publication Date
2019/04/29
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.190423.001How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Chi-I Hsu
AU  - Shelly P. J. Wu
AU  - Chaochang Chiu
PY  - 2019
DA  - 2019/04/29
TI  - A Hybrid Swarm Intelligence Approach for Blog Success Prediction
JO  - International Journal of Computational Intelligence Systems
SP  - 571
EP  - 579
VL  - 12
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.190423.001
DO  - 10.2991/ijcis.d.190423.001
ID  - Hsu2019
ER  -