Detecting Product Review Spammers using Activity Model

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 650
EP  - 653
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.155
DO  - 10.2991/icacsei.2013.155
ID  - Jiang2013/08
ER  -