Detecting Anomalous Online Reviewers: An Unsupervised Approach Using Mixture Models
Volume: 36, Issue: 4, Pages: 1313 - 1346
Published: Oct 9, 2019
Abstract
Online reviews play a significant role in influencing decisions made by users in day-to-day life. The presence of reviewers who deliberately post fake reviews for financial or other gains,...
Paper Details
Title
Detecting Anomalous Online Reviewers: An Unsupervised Approach Using Mixture Models
Published Date
Oct 9, 2019
Volume
36
Issue
4
Pages
1313 - 1346
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