Examination of Fake Reviews of Product and Approach to Filter them from Legitimate Reviews

Abstract

Product review branding and marketing is important for online retailers. They aid in the development of trust and loyalty, as well as establishing the distinction between your goods and those of competitors. Fake reviews pose a significant challenge to websites and product search engines because they may disrupt customer interest. Although fabricated assessments benefit everybody, the emergence of this dubious strategy is quite intriguing in the long run. The fact that enormous amounts of time, energy, and money are being put into fake review spamming demonstrates how beneficial a decent number of reviews can be. In this manuscript, a conventional method is proposed for the elimination of Fake Reviews on ecommerce sites. The solution is to use the reviewers’ behavior features with review parameters such as the username, IP address and duplicate reviews to mark fake users.