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
REVIEW AND RATING: FOR MOBILE APP AND DISCOVERY OF RANKING FRAUD DETECTION
Authors Name:
Palakeerthi Mariya
, Mrs. A.Ramana Lakshmi , Mrs.T.Sri Lakshmi
Unique Id:
IJSDR1709030
Published In:
Volume 2 Issue 9, September-2017
Abstract:
Now, most of the people using smart phone and android applications. There is need of various applications to be installed on smart phone. To download application smart phone user has to visit Apps store such as Google Play Store, Apples store etc. When user visit play store then he or she is ready to visualize the varied applications list. This list is made on the premise of promotion or advertising. This paper offers holistic read of ranking manipulations and portrays a Ranking fraud diagnosable framework for mobile Apps. This work is completed into 3 classifications. At first, ranking fraud discovery second is on-line review identification and last one is mobile application suggestions. The online ranking demonstrates to Associate in purposeful activities that expire to decide on web content an unmerited ideal applicability or importance. Survey is predicted to relinquish unfair for perspective of a handful of things to have an effect on the clients’ perspective of the things by significantly or by implication rebuke or harming the item’s infamy. projected framework in addition eliminates the pretend surveys from the dataset utilizing same live algorithmic program and at that time distinguish the applying rank. ultimately this method will advocate Apps that area unit additional relevant and most real. The propose framework can saves the time and conjointly memory than the previous framework. we tend to judge the projected system with real-world App knowledge collected from the Google App Store for a protracted fundamental measure. In the experiments, we tend to validate the effectiveness of the projected system.
Keywords:
Mobile Apps, Ranking Fraud Detection, Historical Ranking Records, Review and Rating .
Cite Article:
"REVIEW AND RATING: FOR MOBILE APP AND DISCOVERY OF RANKING FRAUD DETECTION", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 9, page no.185 - 190, September-2017, Available :http://www.ijsdr.org/papers/IJSDR1709030.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1709030
Registration ID:170772
Published In: Volume 2 Issue 9, September-2017
DOI (Digital Object Identifier):
Page No: 185 - 190
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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