Detecting Product Review Spammers using Activity Model
Bo Jiang, Ren hao Cao, Bi Chen · 2013
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.