Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

Detecting Product Review Spammers using Activity Model

Authors
Bo Jiang, Ren hao Cao, Bi Chen
Corresponding Author
Bo Jiang
Available Online August 2013.
DOI
https://doi.org/10.2991/icacsei.2013.155How to use a DOI?
Keywords
Spam reviewers, activity.
Abstract
This paper aims to improve the accuracy of the original detection model on the product review spammers. The original detection model has three activities of review spammers. Now, we add the new two activities to improve the accuracy. In this paper, we first introduce the three existing models. Then, we give our new models. At last, we propose scoring methods to ensure that the new activity models have the same effects on the prediction model based on an Amazon review dataset. Our results show that our proposed two models have achieved the desired result.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
978-90-78677-74-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/icacsei.2013.155How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Bo Jiang
AU  - Ren hao Cao
AU  - Bi Chen
PY  - 2013/08
DA  - 2013/08
TI  - Detecting Product Review Spammers using Activity Model
BT  - 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.155
DO  - https://doi.org/10.2991/icacsei.2013.155
ID  - Jiang2013/08
ER  -