IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Finding Fraud Rank in Spatial Database Using Reddit Ranking Algorithm
Authors Name: Premkumar T , Karthikeyan S
Unique Id: IJSDR2002061
Published In: Volume 5 Issue 2, February-2020
Abstract: Detect fraud ranking persons in any online e-commerce application reviews play a very important role. Large part of the customers read reviews of products or stores before making the decision of what or from where to buy and whether to buy or not. As writing fake reviews comes with monetary gain, there has been a huge increase in deceptive opinion spam on online review websites. Basically fake review or fraudulent review or opinion spam is an untruthful review. Positive reviews of a target object may attract more customers and increase sales as well as negative review of a target object may lead to lesser demand and decrease in sales. Both are comes under fake review category only. These fraudulent reviews are deliberately written to trick potential customers in order to promote them. This work is aimed to identifying whether a review is fake or truthful one. In the present scenario, customers are more dependent on making decisions to buy products either on e-commerce sites or offline retail stores. Since, these reviews are game changers for success or failure in sales of a product, reviews are being manipulated for positive or negative opinions. Manipulated reviews can also be referred to as fake/fraudulent reviews or opinion spam or untruthful reviews. In today's digital world deceptive opinion spam has become a threat to both customers and companies. Distinguishing these fake reviews is an important and difficult task. These deceptive reviewers are often paid to write these reviews. As a result, it is a herculean task for an ordinary customer to differentiate fraudulent reviews from genuine ones, by looking at each review.
Keywords: Data Mining, Web Mining, Data Classification, (FFRS) - Reddit Ranking Algorithm, (RRA) - Finding Fraud ranking in Spatial database.
Cite Article: "Finding Fraud Rank in Spatial Database Using Reddit Ranking Algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 2, page no.350 - 356, February-2020, Available :http://www.ijsdr.org/papers/IJSDR2002061.pdf
Downloads: 000336259
Publication Details: Published Paper ID: IJSDR2002061
Registration ID:191383
Published In: Volume 5 Issue 2, February-2020
DOI (Digital Object Identifier):
Page No: 350 - 356
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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